#715 by GitHub stars
revfactory/harness-100
YouTube video hook (opening) writing skill. Provides 15 hook patterns, viewer retention psychology, and click-to-watch conversion formulas. Referenced by the scriptwriter agent when designing video openings to minimize viewer drop-off. Also used standalone for requests like 'show me hook patterns' o
History
Review weekly changes to SKILL.md before updating. Dates mark the weeks in which we observed each version; checks apply to the recorded commits.
View weekly changes
en/01-youtube-production/.claude/skills/hook-writing/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
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en/01-youtube-production/.claude/skills/thumbnail-psychology/SKILL.md
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en/01-youtube-production/.claude/skills/youtube-production/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
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en/02-podcast-studio/.claude/skills/audio-storytelling/SKILL.md
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en/02-podcast-studio/.claude/skills/interview-techniques/SKILL.md
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en/02-podcast-studio/.claude/skills/podcast-growth/SKILL.md
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en/02-podcast-studio/.claude/skills/podcast-studio/SKILL.md
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No earlier version was observed for comparison.
en/03-newsletter-engine/.claude/skills/audience-segmentation/SKILL.md
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en/03-newsletter-engine/.claude/skills/deliverability-optimization/SKILL.md
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en/03-newsletter-engine/.claude/skills/email-copywriting/SKILL.md
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en/03-newsletter-engine/.claude/skills/newsletter-engine/SKILL.md
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en/04-content-repurposer/.claude/skills/content-atomization/SKILL.md
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en/04-content-repurposer/.claude/skills/content-repurposer/SKILL.md
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en/04-content-repurposer/.claude/skills/platform-adaptation/SKILL.md
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en/05-game-narrative/.claude/skills/branching-logic/SKILL.md
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en/05-game-narrative/.claude/skills/dialogue-systems/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
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en/05-game-narrative/.claude/skills/game-narrative/SKILL.md
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en/05-game-narrative/.claude/skills/quest-design-patterns/SKILL.md
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en/06-brand-identity/.claude/skills/brand-archetype/SKILL.md
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en/06-brand-identity/.claude/skills/brand-identity/SKILL.md
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en/06-brand-identity/.claude/skills/color-psychology/SKILL.md
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en/06-brand-identity/.claude/skills/naming-methodology/SKILL.md
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en/07-comic-creator/.claude/skills/character-design-system/SKILL.md
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en/07-comic-creator/.claude/skills/comic-creator/SKILL.md
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en/07-comic-creator/.claude/skills/panel-composition/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
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en/07-comic-creator/.claude/skills/visual-narrative/SKILL.md
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en/08-course-builder/.claude/skills/assessment-engineering/SKILL.md
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en/08-course-builder/.claude/skills/course-builder/SKILL.md
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en/08-course-builder/.claude/skills/lab-scaffolding/SKILL.md
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en/08-course-builder/.claude/skills/learning-design/SKILL.md
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en/09-documentary-research/.claude/skills/documentary-research/SKILL.md
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en/09-documentary-research/.claude/skills/interview-design/SKILL.md
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en/09-documentary-research/.claude/skills/investigative-research/SKILL.md
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en/09-documentary-research/.claude/skills/narrative-structure/SKILL.md
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First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/10-social-media-manager/.claude/skills/hashtag-science/SKILL.md
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en/10-social-media-manager/.claude/skills/platform-algorithms/SKILL.md
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en/10-social-media-manager/.claude/skills/social-media-manager/SKILL.md
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en/10-social-media-manager/.claude/skills/viral-copywriting/SKILL.md
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en/100-ip-portfolio/.claude/skills/ip-landscape-analysis/SKILL.md
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en/100-ip-portfolio/.claude/skills/ip-portfolio/SKILL.md
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en/100-ip-portfolio/.claude/skills/patent-valuation/SKILL.md
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en/11-book-publishing/.claude/skills/book-metadata-seo/SKILL.md
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en/11-book-publishing/.claude/skills/book-publishing/SKILL.md
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en/11-book-publishing/.claude/skills/cover-design-psychology/SKILL.md
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en/11-book-publishing/.claude/skills/developmental-editing/SKILL.md
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en/12-advertising-campaign/.claude/skills/ad-copywriting-formulas/SKILL.md
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en/12-advertising-campaign/.claude/skills/advertising-campaign/SKILL.md
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en/12-advertising-campaign/.claude/skills/media-mix-calculator/SKILL.md
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en/13-presentation-designer/.claude/skills/data-visualization-guide/SKILL.md
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en/13-presentation-designer/.claude/skills/presentation-designer/SKILL.md
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en/13-presentation-designer/.claude/skills/slide-layout-patterns/SKILL.md
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en/14-translation-localization/.claude/skills/cultural-adaptation-guide/SKILL.md
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en/14-translation-localization/.claude/skills/translation-localization/SKILL.md
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en/14-translation-localization/.claude/skills/translation-quality-mqm/SKILL.md
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en/15-visual-storytelling/.claude/skills/image-prompt-engineering/SKILL.md
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en/15-visual-storytelling/.claude/skills/narrative-structure-patterns/SKILL.md
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en/15-visual-storytelling/.claude/skills/visual-storytelling/SKILL.md
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en/16-fullstack-webapp/.claude/skills/api-security-checklist/SKILL.md
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en/16-fullstack-webapp/.claude/skills/component-patterns/SKILL.md
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en/16-fullstack-webapp/.claude/skills/fullstack-webapp/SKILL.md
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en/17-mobile-app-builder/.claude/skills/app-store-optimization/SKILL.md
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en/17-mobile-app-builder/.claude/skills/mobile-app-builder/SKILL.md
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en/17-mobile-app-builder/.claude/skills/mobile-ux-patterns/SKILL.md
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en/18-api-designer/.claude/skills/api-designer/SKILL.md
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en/18-api-designer/.claude/skills/api-error-design/SKILL.md
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Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/18-api-designer/.claude/skills/rest-api-conventions/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/19-database-architect/.claude/skills/database-architect/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/19-database-architect/.claude/skills/normalization-patterns/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/19-database-architect/.claude/skills/query-optimization-catalog/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/20-cicd-pipeline/.claude/skills/cicd-pipeline/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/20-cicd-pipeline/.claude/skills/deployment-strategies/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/20-cicd-pipeline/.claude/skills/pipeline-security-gates/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/21-code-reviewer/.claude/skills/code-reviewer/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/21-code-reviewer/.claude/skills/refactoring-catalog/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/21-code-reviewer/.claude/skills/vulnerability-patterns/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/22-legacy-modernizer/.claude/skills/dependency-analysis/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/22-legacy-modernizer/.claude/skills/legacy-modernizer/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/22-legacy-modernizer/.claude/skills/strangler-fig-patterns/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/23-microservice-designer/.claude/skills/ddd-context-mapping/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/23-microservice-designer/.claude/skills/distributed-patterns/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/23-microservice-designer/.claude/skills/microservice-designer/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/24-test-automation/.claude/skills/mocking-strategy/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/24-test-automation/.claude/skills/test-automation/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/24-test-automation/.claude/skills/test-design-patterns/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/25-incident-postmortem/.claude/skills/incident-postmortem/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/25-incident-postmortem/.claude/skills/rca-methodology/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/25-incident-postmortem/.claude/skills/sla-impact-calculator/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/26-infra-as-code/.claude/skills/cloud-cost-models/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/26-infra-as-code/.claude/skills/infra-as-code/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/26-infra-as-code/.claude/skills/terraform-module-patterns/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/27-data-pipeline/.claude/skills/dag-orchestration-patterns/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/27-data-pipeline/.claude/skills/data-pipeline/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/27-data-pipeline/.claude/skills/data-quality-framework/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/28-security-audit/.claude/skills/cve-analysis/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/28-security-audit/.claude/skills/owasp-testing-guide/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/28-security-audit/.claude/skills/security-audit/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/28-security-audit/.claude/skills/threat-modeling/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/29-performance-optimizer/.claude/skills/caching-strategy-selector/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/29-performance-optimizer/.claude/skills/performance-optimizer/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/29-performance-optimizer/.claude/skills/query-optimization-patterns/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/30-open-source-launcher/.claude/skills/community-health-metrics/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/30-open-source-launcher/.claude/skills/license-compatibility-matrix/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/30-open-source-launcher/.claude/skills/open-source-launcher/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/31-ml-experiment/.claude/skills/experiment-tracking-setup/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/31-ml-experiment/.claude/skills/feature-engineering-cookbook/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/31-ml-experiment/.claude/skills/ml-experiment/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/31-ml-experiment/.claude/skills/model-selection-guide/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/32-data-analysis/.claude/skills/data-analysis/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/32-data-analysis/.claude/skills/statistical-tests-selector/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/32-data-analysis/.claude/skills/visualization-chooser/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/33-text-processor/.claude/skills/nlp-preprocessing-toolkit/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/33-text-processor/.claude/skills/sentiment-lexicon-builder/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/33-text-processor/.claude/skills/text-processor/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/34-data-migration/.claude/skills/data-migration/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/34-data-migration/.claude/skills/data-validation-patterns/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/34-data-migration/.claude/skills/type-mapping-encyclopedia/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/35-api-client-generator/.claude/skills/api-client-generator/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/35-api-client-generator/.claude/skills/openapi-spec-patterns/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/35-api-client-generator/.claude/skills/sdk-design-patterns/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/36-design-system/.claude/skills/design-system/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/36-design-system/.claude/skills/token-generator/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/36-design-system/.claude/skills/wcag-checker/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/37-web-scraper/.claude/skills/anti-bot-analyzer/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/37-web-scraper/.claude/skills/selector-generator/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/37-web-scraper/.claude/skills/web-scraper/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/38-chatbot-builder/.claude/skills/chatbot-builder/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/38-chatbot-builder/.claude/skills/conversation-flow-validator/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/38-chatbot-builder/.claude/skills/intent-taxonomy-builder/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/39-changelog-generator/.claude/skills/changelog-generator/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/39-changelog-generator/.claude/skills/commit-parser/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/39-changelog-generator/.claude/skills/semver-analyzer/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/40-cli-tool-builder/.claude/skills/arg-parser-generator/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/40-cli-tool-builder/.claude/skills/cli-tool-builder/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/40-cli-tool-builder/.claude/skills/ux-linter/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/41-llm-app-builder/.claude/skills/chunking-strategy-guide/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/41-llm-app-builder/.claude/skills/llm-app-builder/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/41-llm-app-builder/.claude/skills/prompt-optimizer/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/42-bi-dashboard/.claude/skills/bi-dashboard/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/42-bi-dashboard/.claude/skills/chart-selector/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/42-bi-dashboard/.claude/skills/kpi-tree-builder/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/43-startup-launcher/.claude/skills/pitch-deck-framework/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/43-startup-launcher/.claude/skills/startup-launcher/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/43-startup-launcher/.claude/skills/unit-economics-calculator/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/44-market-research/.claude/skills/market-research/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/44-market-research/.claude/skills/porter-five-forces/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/44-market-research/.claude/skills/tam-sam-som-calculator/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/45-gov-funding-plan/.claude/skills/budget-standard-checker/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/45-gov-funding-plan/.claude/skills/gov-funding-plan/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/45-gov-funding-plan/.claude/skills/scoring-optimizer/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/46-product-manager/.claude/skills/product-manager/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/46-product-manager/.claude/skills/rice-prioritizer/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/46-product-manager/.claude/skills/story-point-estimator/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/47-strategy-framework/.claude/skills/okr-quality-checker/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/47-strategy-framework/.claude/skills/strategy-framework/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/47-strategy-framework/.claude/skills/tows-matrix-builder/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/48-sales-enablement/.claude/skills/objection-handler/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/48-sales-enablement/.claude/skills/roi-calculator/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/48-sales-enablement/.claude/skills/sales-enablement/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/49-customer-support/.claude/skills/csat-analyzer/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/49-customer-support/.claude/skills/customer-support/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/49-customer-support/.claude/skills/escalation-flowchart/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/50-pricing-strategy/.claude/skills/price-elasticity-calculator/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/50-pricing-strategy/.claude/skills/pricing-strategy/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/50-pricing-strategy/.claude/skills/psm-analyzer/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/51-investor-report/.claude/skills/financial-ratio-analyzer/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/51-investor-report/.claude/skills/investor-report/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/51-investor-report/.claude/skills/ir-narrative-builder/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/51-investor-report/.claude/skills/kpi-benchmark-engine/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/52-scenario-planner/.claude/skills/decision-trigger-mapper/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/52-scenario-planner/.claude/skills/scenario-narrative-engine/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/52-scenario-planner/.claude/skills/scenario-planner/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/52-scenario-planner/.claude/skills/steep-framework/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/53-financial-modeler/.claude/skills/dcf-valuation/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/53-financial-modeler/.claude/skills/financial-modeler/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/53-financial-modeler/.claude/skills/sensitivity-analysis/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/53-financial-modeler/.claude/skills/unit-economics/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/54-grant-writer/.claude/skills/budget-rule-engine/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/54-grant-writer/.claude/skills/grant-writer/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/54-grant-writer/.claude/skills/scoring-optimizer/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/55-rfp-responder/.claude/skills/pricing-calculator/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/55-rfp-responder/.claude/skills/rfp-responder/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/55-rfp-responder/.claude/skills/win-theme-builder/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/56-language-tutor/.claude/skills/cefr-assessment/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/56-language-tutor/.claude/skills/language-tutor/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/56-language-tutor/.claude/skills/spaced-repetition/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/57-exam-prep/.claude/skills/bloom-taxonomy-engine/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/57-exam-prep/.claude/skills/error-pattern-analyzer/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/57-exam-prep/.claude/skills/exam-prep/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/58-thesis-advisor/.claude/skills/academic-writing-style/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/58-thesis-advisor/.claude/skills/research-methodology/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/58-thesis-advisor/.claude/skills/thesis-advisor/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/59-coding-bootcamp/.claude/skills/code-kata-generator/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/59-coding-bootcamp/.claude/skills/coding-bootcamp/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/59-coding-bootcamp/.claude/skills/tech-interview-prep/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/60-debate-simulator/.claude/skills/argumentation-framework/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/60-debate-simulator/.claude/skills/debate-simulator/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/60-debate-simulator/.claude/skills/logical-fallacy-detector/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/61-competency-modeler/.claude/skills/bars-assessment/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/61-competency-modeler/.claude/skills/competency-modeler/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/61-competency-modeler/.claude/skills/ksa-taxonomy/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/62-adr-writer/.claude/skills/adr-writer/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/62-adr-writer/.claude/skills/madr-template-engine/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/62-adr-writer/.claude/skills/quality-attribute-analyzer/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/63-research-assistant/.claude/skills/citation-formatter/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/63-research-assistant/.claude/skills/research-assistant/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/63-research-assistant/.claude/skills/systematic-review-protocol/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/64-knowledge-base-builder/.claude/skills/content-lifecycle-manager/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/64-knowledge-base-builder/.claude/skills/information-architecture/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/64-knowledge-base-builder/.claude/skills/knowledge-base-builder/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/65-personal-branding/.claude/skills/ats-optimizer/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/65-personal-branding/.claude/skills/linkedin-seo/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/65-personal-branding/.claude/skills/personal-branding/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/66-contract-analyzer/.claude/skills/clause-risk-database/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/66-contract-analyzer/.claude/skills/contract-analyzer/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/66-contract-analyzer/.claude/skills/negotiation-playbook/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/67-compliance-checker/.claude/skills/audit-checklist-engine/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/67-compliance-checker/.claude/skills/compliance-checker/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/67-compliance-checker/.claude/skills/regulation-knowledge-base/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/68-patent-drafter/.claude/skills/claim-drafting-patterns/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/68-patent-drafter/.claude/skills/patent-drafter/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/68-patent-drafter/.claude/skills/prior-art-search-strategy/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/69-privacy-engineer/.claude/skills/data-flow-mapper/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/69-privacy-engineer/.claude/skills/gdpr-pipa-cross-reference/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/69-privacy-engineer/.claude/skills/privacy-engineer/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/70-legal-research/.claude/skills/case-analysis-framework/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/70-legal-research/.claude/skills/legal-research/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/70-legal-research/.claude/skills/legal-writing-methodology/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/71-service-legal-docs/.claude/skills/cross-document-linker/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/71-service-legal-docs/.claude/skills/service-legal-docs/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/71-service-legal-docs/.claude/skills/unfair-terms-detector/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/72-regulatory-filing/.claude/skills/form-filling-guide/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/72-regulatory-filing/.claude/skills/permit-requirements-db/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/72-regulatory-filing/.claude/skills/regulatory-filing/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/73-meal-planner/.claude/skills/ingredient-substitution-engine/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/73-meal-planner/.claude/skills/meal-planner/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/73-meal-planner/.claude/skills/nutrition-calculator/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/74-fitness-program/.claude/skills/exercise-biomechanics/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/74-fitness-program/.claude/skills/fitness-program/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/74-fitness-program/.claude/skills/periodization-engine/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/75-tax-calculator/.claude/skills/deduction-optimizer-engine/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/75-tax-calculator/.claude/skills/tax-bracket-simulator/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/75-tax-calculator/.claude/skills/tax-calculator/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/76-travel-planner/.claude/skills/budget-calculator/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/76-travel-planner/.claude/skills/route-optimizer/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/76-travel-planner/.claude/skills/travel-planner/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/77-space-concept-board/.claude/skills/color-harmony-engine/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/77-space-concept-board/.claude/skills/space-concept-board/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/77-space-concept-board/.claude/skills/spatial-layout-guide/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/78-personal-finance/.claude/skills/compound-interest-simulator/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/78-personal-finance/.claude/skills/financial-ratio-analyzer/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/78-personal-finance/.claude/skills/personal-finance/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/79-side-project-launcher/.claude/skills/market-sizing-calculator/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/79-side-project-launcher/.claude/skills/side-project-launcher/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/79-side-project-launcher/.claude/skills/techstack-decision-matrix/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/80-wedding-planner/.claude/skills/vendor-negotiation-guide/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/80-wedding-planner/.claude/skills/wedding-budget-optimizer/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/80-wedding-planner/.claude/skills/wedding-planner/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/81-technical-writer/.claude/skills/api-doc-standards/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/81-technical-writer/.claude/skills/code-example-patterns/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
en/81-technical-writer/.claude/skills/diagram-patterns/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
8e8d35c6a191 → 8e8d35c6a191
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 8e8d35c6a191
No earlier version was observed for comparison.
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1.3kGitHub stars
8stars in 7 days
630skills in this repository
0commits in 30 days
Heat
4.9- Star growth, last 7 daysAhead of 77% of tracked repositories
- Star growth, last 24 hoursAhead of 90% of tracked repositories
- Rank movement, last 7 daysAhead of 17% of tracked repositories
- Commits, last 30 daysAhead of 0% of tracked repositories
- Accounts asking about it through MCP, last 7 daysNot available
- Hot votes this weekAhead of 0% of tracked repositories
Heat never changes the order by stars, and sponsorship never touches it. How heat works
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Individual skills in this repository
- hook-writing
en/01-youtube-production/.claude/skills/hook-writing - thumbnail-psychology
en/01-youtube-production/.claude/skills/thumbnail-psychology - youtube-production
en/01-youtube-production/.claude/skills/youtube-production - audio-storytelling
en/02-podcast-studio/.claude/skills/audio-storytelling - interview-techniques
en/02-podcast-studio/.claude/skills/interview-techniques - podcast-growth
en/02-podcast-studio/.claude/skills/podcast-growth - podcast-studio
en/02-podcast-studio/.claude/skills/podcast-studio - audience-segmentation
en/03-newsletter-engine/.claude/skills/audience-segmentation - deliverability-optimization
en/03-newsletter-engine/.claude/skills/deliverability-optimization - email-copywriting
en/03-newsletter-engine/.claude/skills/email-copywriting - newsletter-engine
en/03-newsletter-engine/.claude/skills/newsletter-engine - content-atomization
en/04-content-repurposer/.claude/skills/content-atomization - content-repurposer
en/04-content-repurposer/.claude/skills/content-repurposer - platform-adaptation
en/04-content-repurposer/.claude/skills/platform-adaptation - branching-logic
en/05-game-narrative/.claude/skills/branching-logic - dialogue-systems
en/05-game-narrative/.claude/skills/dialogue-systems - game-narrative
en/05-game-narrative/.claude/skills/game-narrative - quest-design-patterns
en/05-game-narrative/.claude/skills/quest-design-patterns - brand-archetype
en/06-brand-identity/.claude/skills/brand-archetype - brand-identity
en/06-brand-identity/.claude/skills/brand-identity - color-psychology
en/06-brand-identity/.claude/skills/color-psychology - naming-methodology
en/06-brand-identity/.claude/skills/naming-methodology - character-design-system
en/07-comic-creator/.claude/skills/character-design-system - comic-creator
en/07-comic-creator/.claude/skills/comic-creator - panel-composition
en/07-comic-creator/.claude/skills/panel-composition - visual-narrative
en/07-comic-creator/.claude/skills/visual-narrative - assessment-engineering
en/08-course-builder/.claude/skills/assessment-engineering - course-builder
en/08-course-builder/.claude/skills/course-builder - lab-scaffolding
en/08-course-builder/.claude/skills/lab-scaffolding - learning-design
en/08-course-builder/.claude/skills/learning-design - documentary-research
en/09-documentary-research/.claude/skills/documentary-research - interview-design
en/09-documentary-research/.claude/skills/interview-design - investigative-research
en/09-documentary-research/.claude/skills/investigative-research - narrative-structure
en/09-documentary-research/.claude/skills/narrative-structure - hashtag-science
en/10-social-media-manager/.claude/skills/hashtag-science - platform-algorithms
en/10-social-media-manager/.claude/skills/platform-algorithms - social-media-manager
en/10-social-media-manager/.claude/skills/social-media-manager - viral-copywriting
en/10-social-media-manager/.claude/skills/viral-copywriting - ip-landscape-analysis
en/100-ip-portfolio/.claude/skills/ip-landscape-analysis - ip-portfolio
en/100-ip-portfolio/.claude/skills/ip-portfolio - patent-valuation
en/100-ip-portfolio/.claude/skills/patent-valuation - book-metadata-seo
en/11-book-publishing/.claude/skills/book-metadata-seo - book-publishing
en/11-book-publishing/.claude/skills/book-publishing - cover-design-psychology
en/11-book-publishing/.claude/skills/cover-design-psychology - developmental-editing
en/11-book-publishing/.claude/skills/developmental-editing - ad-copywriting-formulas
en/12-advertising-campaign/.claude/skills/ad-copywriting-formulas - advertising-campaign
en/12-advertising-campaign/.claude/skills/advertising-campaign - media-mix-calculator
en/12-advertising-campaign/.claude/skills/media-mix-calculator - data-visualization-guide
en/13-presentation-designer/.claude/skills/data-visualization-guide - presentation-designer
en/13-presentation-designer/.claude/skills/presentation-designer - slide-layout-patterns
en/13-presentation-designer/.claude/skills/slide-layout-patterns - cultural-adaptation-guide
en/14-translation-localization/.claude/skills/cultural-adaptation-guide - translation-localization
en/14-translation-localization/.claude/skills/translation-localization - translation-quality-mqm
en/14-translation-localization/.claude/skills/translation-quality-mqm - image-prompt-engineering
en/15-visual-storytelling/.claude/skills/image-prompt-engineering - narrative-structure-patterns
en/15-visual-storytelling/.claude/skills/narrative-structure-patterns - visual-storytelling
en/15-visual-storytelling/.claude/skills/visual-storytelling - api-security-checklist
en/16-fullstack-webapp/.claude/skills/api-security-checklist - component-patterns
en/16-fullstack-webapp/.claude/skills/component-patterns - fullstack-webapp
en/16-fullstack-webapp/.claude/skills/fullstack-webapp - app-store-optimization
en/17-mobile-app-builder/.claude/skills/app-store-optimization - mobile-app-builder
en/17-mobile-app-builder/.claude/skills/mobile-app-builder - mobile-ux-patterns
en/17-mobile-app-builder/.claude/skills/mobile-ux-patterns - api-designer
en/18-api-designer/.claude/skills/api-designer - api-error-design
en/18-api-designer/.claude/skills/api-error-design - rest-api-conventions
en/18-api-designer/.claude/skills/rest-api-conventions - database-architect
en/19-database-architect/.claude/skills/database-architect - normalization-patterns
en/19-database-architect/.claude/skills/normalization-patterns - query-optimization-catalog
en/19-database-architect/.claude/skills/query-optimization-catalog - cicd-pipeline
en/20-cicd-pipeline/.claude/skills/cicd-pipeline - deployment-strategies
en/20-cicd-pipeline/.claude/skills/deployment-strategies - pipeline-security-gates
en/20-cicd-pipeline/.claude/skills/pipeline-security-gates - code-reviewer
en/21-code-reviewer/.claude/skills/code-reviewer - refactoring-catalog
en/21-code-reviewer/.claude/skills/refactoring-catalog - vulnerability-patterns
en/21-code-reviewer/.claude/skills/vulnerability-patterns - dependency-analysis
en/22-legacy-modernizer/.claude/skills/dependency-analysis - legacy-modernizer
en/22-legacy-modernizer/.claude/skills/legacy-modernizer - strangler-fig-patterns
en/22-legacy-modernizer/.claude/skills/strangler-fig-patterns - ddd-context-mapping
en/23-microservice-designer/.claude/skills/ddd-context-mapping - distributed-patterns
en/23-microservice-designer/.claude/skills/distributed-patterns - microservice-designer
en/23-microservice-designer/.claude/skills/microservice-designer - mocking-strategy
en/24-test-automation/.claude/skills/mocking-strategy - test-automation
en/24-test-automation/.claude/skills/test-automation - test-design-patterns
en/24-test-automation/.claude/skills/test-design-patterns - incident-postmortem
en/25-incident-postmortem/.claude/skills/incident-postmortem - rca-methodology
en/25-incident-postmortem/.claude/skills/rca-methodology - sla-impact-calculator
en/25-incident-postmortem/.claude/skills/sla-impact-calculator - cloud-cost-models
en/26-infra-as-code/.claude/skills/cloud-cost-models - infra-as-code
en/26-infra-as-code/.claude/skills/infra-as-code - terraform-module-patterns
en/26-infra-as-code/.claude/skills/terraform-module-patterns - dag-orchestration-patterns
en/27-data-pipeline/.claude/skills/dag-orchestration-patterns - data-pipeline
en/27-data-pipeline/.claude/skills/data-pipeline - data-quality-framework
en/27-data-pipeline/.claude/skills/data-quality-framework - cve-analysis
en/28-security-audit/.claude/skills/cve-analysis - owasp-testing-guide
en/28-security-audit/.claude/skills/owasp-testing-guide - security-audit
en/28-security-audit/.claude/skills/security-audit - threat-modeling
en/28-security-audit/.claude/skills/threat-modeling - caching-strategy-selector
en/29-performance-optimizer/.claude/skills/caching-strategy-selector - performance-optimizer
en/29-performance-optimizer/.claude/skills/performance-optimizer - query-optimization-patterns
en/29-performance-optimizer/.claude/skills/query-optimization-patterns - community-health-metrics
en/30-open-source-launcher/.claude/skills/community-health-metrics - license-compatibility-matrix
en/30-open-source-launcher/.claude/skills/license-compatibility-matrix - open-source-launcher
en/30-open-source-launcher/.claude/skills/open-source-launcher - experiment-tracking-setup
en/31-ml-experiment/.claude/skills/experiment-tracking-setup - feature-engineering-cookbook
en/31-ml-experiment/.claude/skills/feature-engineering-cookbook - ml-experiment
en/31-ml-experiment/.claude/skills/ml-experiment - model-selection-guide
en/31-ml-experiment/.claude/skills/model-selection-guide - data-analysis
en/32-data-analysis/.claude/skills/data-analysis - statistical-tests-selector
en/32-data-analysis/.claude/skills/statistical-tests-selector - visualization-chooser
en/32-data-analysis/.claude/skills/visualization-chooser - nlp-preprocessing-toolkit
en/33-text-processor/.claude/skills/nlp-preprocessing-toolkit - sentiment-lexicon-builder
en/33-text-processor/.claude/skills/sentiment-lexicon-builder - text-processor
en/33-text-processor/.claude/skills/text-processor - data-migration
en/34-data-migration/.claude/skills/data-migration - data-validation-patterns
en/34-data-migration/.claude/skills/data-validation-patterns - type-mapping-encyclopedia
en/34-data-migration/.claude/skills/type-mapping-encyclopedia - api-client-generator
en/35-api-client-generator/.claude/skills/api-client-generator - openapi-spec-patterns
en/35-api-client-generator/.claude/skills/openapi-spec-patterns - sdk-design-patterns
en/35-api-client-generator/.claude/skills/sdk-design-patterns - design-system
en/36-design-system/.claude/skills/design-system - token-generator
en/36-design-system/.claude/skills/token-generator - wcag-checker
en/36-design-system/.claude/skills/wcag-checker - anti-bot-analyzer
en/37-web-scraper/.claude/skills/anti-bot-analyzer - selector-generator
en/37-web-scraper/.claude/skills/selector-generator - web-scraper
en/37-web-scraper/.claude/skills/web-scraper - chatbot-builder
en/38-chatbot-builder/.claude/skills/chatbot-builder - conversation-flow-validator
en/38-chatbot-builder/.claude/skills/conversation-flow-validator - intent-taxonomy-builder
en/38-chatbot-builder/.claude/skills/intent-taxonomy-builder - changelog-generator
en/39-changelog-generator/.claude/skills/changelog-generator - commit-parser
en/39-changelog-generator/.claude/skills/commit-parser - semver-analyzer
en/39-changelog-generator/.claude/skills/semver-analyzer - arg-parser-generator
en/40-cli-tool-builder/.claude/skills/arg-parser-generator - cli-tool-builder
en/40-cli-tool-builder/.claude/skills/cli-tool-builder - ux-linter
en/40-cli-tool-builder/.claude/skills/ux-linter - chunking-strategy-guide
en/41-llm-app-builder/.claude/skills/chunking-strategy-guide - llm-app-builder
en/41-llm-app-builder/.claude/skills/llm-app-builder - prompt-optimizer
en/41-llm-app-builder/.claude/skills/prompt-optimizer - bi-dashboard
en/42-bi-dashboard/.claude/skills/bi-dashboard - chart-selector
en/42-bi-dashboard/.claude/skills/chart-selector - kpi-tree-builder
en/42-bi-dashboard/.claude/skills/kpi-tree-builder - pitch-deck-framework
en/43-startup-launcher/.claude/skills/pitch-deck-framework - startup-launcher
en/43-startup-launcher/.claude/skills/startup-launcher - unit-economics-calculator
en/43-startup-launcher/.claude/skills/unit-economics-calculator - market-research
en/44-market-research/.claude/skills/market-research - porter-five-forces
en/44-market-research/.claude/skills/porter-five-forces - tam-sam-som-calculator
en/44-market-research/.claude/skills/tam-sam-som-calculator - budget-standard-checker
en/45-gov-funding-plan/.claude/skills/budget-standard-checker - gov-funding-plan
en/45-gov-funding-plan/.claude/skills/gov-funding-plan - scoring-optimizer
en/45-gov-funding-plan/.claude/skills/scoring-optimizer - product-manager
en/46-product-manager/.claude/skills/product-manager - rice-prioritizer
en/46-product-manager/.claude/skills/rice-prioritizer - story-point-estimator
en/46-product-manager/.claude/skills/story-point-estimator - okr-quality-checker
en/47-strategy-framework/.claude/skills/okr-quality-checker - strategy-framework
en/47-strategy-framework/.claude/skills/strategy-framework - tows-matrix-builder
en/47-strategy-framework/.claude/skills/tows-matrix-builder - objection-handler
en/48-sales-enablement/.claude/skills/objection-handler - roi-calculator
en/48-sales-enablement/.claude/skills/roi-calculator - sales-enablement
en/48-sales-enablement/.claude/skills/sales-enablement - csat-analyzer
en/49-customer-support/.claude/skills/csat-analyzer - customer-support
en/49-customer-support/.claude/skills/customer-support - escalation-flowchart
en/49-customer-support/.claude/skills/escalation-flowchart - price-elasticity-calculator
en/50-pricing-strategy/.claude/skills/price-elasticity-calculator - pricing-strategy
en/50-pricing-strategy/.claude/skills/pricing-strategy - psm-analyzer
en/50-pricing-strategy/.claude/skills/psm-analyzer - financial-ratio-analyzer
en/51-investor-report/.claude/skills/financial-ratio-analyzer - investor-report
en/51-investor-report/.claude/skills/investor-report - ir-narrative-builder
en/51-investor-report/.claude/skills/ir-narrative-builder - kpi-benchmark-engine
en/51-investor-report/.claude/skills/kpi-benchmark-engine - decision-trigger-mapper
en/52-scenario-planner/.claude/skills/decision-trigger-mapper - scenario-narrative-engine
en/52-scenario-planner/.claude/skills/scenario-narrative-engine - scenario-planner
en/52-scenario-planner/.claude/skills/scenario-planner - steep-framework
en/52-scenario-planner/.claude/skills/steep-framework - dcf-valuation
en/53-financial-modeler/.claude/skills/dcf-valuation - financial-modeler
en/53-financial-modeler/.claude/skills/financial-modeler - sensitivity-analysis
en/53-financial-modeler/.claude/skills/sensitivity-analysis - unit-economics
en/53-financial-modeler/.claude/skills/unit-economics - budget-rule-engine
en/54-grant-writer/.claude/skills/budget-rule-engine - grant-writer
en/54-grant-writer/.claude/skills/grant-writer - scoring-optimizer
en/54-grant-writer/.claude/skills/scoring-optimizer - pricing-calculator
en/55-rfp-responder/.claude/skills/pricing-calculator - rfp-responder
en/55-rfp-responder/.claude/skills/rfp-responder - win-theme-builder
en/55-rfp-responder/.claude/skills/win-theme-builder - cefr-assessment
en/56-language-tutor/.claude/skills/cefr-assessment - language-tutor
en/56-language-tutor/.claude/skills/language-tutor - spaced-repetition
en/56-language-tutor/.claude/skills/spaced-repetition - bloom-taxonomy-engine
en/57-exam-prep/.claude/skills/bloom-taxonomy-engine - error-pattern-analyzer
en/57-exam-prep/.claude/skills/error-pattern-analyzer - exam-prep
en/57-exam-prep/.claude/skills/exam-prep - academic-writing-style
en/58-thesis-advisor/.claude/skills/academic-writing-style - research-methodology
en/58-thesis-advisor/.claude/skills/research-methodology - thesis-advisor
en/58-thesis-advisor/.claude/skills/thesis-advisor - code-kata-generator
en/59-coding-bootcamp/.claude/skills/code-kata-generator - coding-bootcamp
en/59-coding-bootcamp/.claude/skills/coding-bootcamp - tech-interview-prep
en/59-coding-bootcamp/.claude/skills/tech-interview-prep - argumentation-framework
en/60-debate-simulator/.claude/skills/argumentation-framework - debate-simulator
en/60-debate-simulator/.claude/skills/debate-simulator - logical-fallacy-detector
en/60-debate-simulator/.claude/skills/logical-fallacy-detector - bars-assessment
en/61-competency-modeler/.claude/skills/bars-assessment - competency-modeler
en/61-competency-modeler/.claude/skills/competency-modeler - ksa-taxonomy
en/61-competency-modeler/.claude/skills/ksa-taxonomy - adr-writer
en/62-adr-writer/.claude/skills/adr-writer - madr-template-engine
en/62-adr-writer/.claude/skills/madr-template-engine - quality-attribute-analyzer
en/62-adr-writer/.claude/skills/quality-attribute-analyzer - citation-formatter
en/63-research-assistant/.claude/skills/citation-formatter - research-assistant
en/63-research-assistant/.claude/skills/research-assistant - systematic-review-protocol
en/63-research-assistant/.claude/skills/systematic-review-protocol - content-lifecycle-manager
en/64-knowledge-base-builder/.claude/skills/content-lifecycle-manager - information-architecture
en/64-knowledge-base-builder/.claude/skills/information-architecture - knowledge-base-builder
en/64-knowledge-base-builder/.claude/skills/knowledge-base-builder - ats-optimizer
en/65-personal-branding/.claude/skills/ats-optimizer - linkedin-seo
en/65-personal-branding/.claude/skills/linkedin-seo - personal-branding
en/65-personal-branding/.claude/skills/personal-branding - clause-risk-database
en/66-contract-analyzer/.claude/skills/clause-risk-database - contract-analyzer
en/66-contract-analyzer/.claude/skills/contract-analyzer - negotiation-playbook
en/66-contract-analyzer/.claude/skills/negotiation-playbook - audit-checklist-engine
en/67-compliance-checker/.claude/skills/audit-checklist-engine - compliance-checker
en/67-compliance-checker/.claude/skills/compliance-checker - regulation-knowledge-base
en/67-compliance-checker/.claude/skills/regulation-knowledge-base - claim-drafting-patterns
en/68-patent-drafter/.claude/skills/claim-drafting-patterns - patent-drafter
en/68-patent-drafter/.claude/skills/patent-drafter - prior-art-search-strategy
en/68-patent-drafter/.claude/skills/prior-art-search-strategy - data-flow-mapper
en/69-privacy-engineer/.claude/skills/data-flow-mapper - gdpr-pipa-cross-reference
en/69-privacy-engineer/.claude/skills/gdpr-pipa-cross-reference - privacy-engineer
en/69-privacy-engineer/.claude/skills/privacy-engineer - case-analysis-framework
en/70-legal-research/.claude/skills/case-analysis-framework - legal-research
en/70-legal-research/.claude/skills/legal-research - legal-writing-methodology
en/70-legal-research/.claude/skills/legal-writing-methodology - cross-document-linker
en/71-service-legal-docs/.claude/skills/cross-document-linker - service-legal-docs
en/71-service-legal-docs/.claude/skills/service-legal-docs - unfair-terms-detector
en/71-service-legal-docs/.claude/skills/unfair-terms-detector - form-filling-guide
en/72-regulatory-filing/.claude/skills/form-filling-guide - permit-requirements-db
en/72-regulatory-filing/.claude/skills/permit-requirements-db - regulatory-filing
en/72-regulatory-filing/.claude/skills/regulatory-filing - ingredient-substitution-engine
en/73-meal-planner/.claude/skills/ingredient-substitution-engine - meal-planner
en/73-meal-planner/.claude/skills/meal-planner - nutrition-calculator
en/73-meal-planner/.claude/skills/nutrition-calculator - exercise-biomechanics
en/74-fitness-program/.claude/skills/exercise-biomechanics - fitness-program
en/74-fitness-program/.claude/skills/fitness-program - periodization-engine
en/74-fitness-program/.claude/skills/periodization-engine - deduction-optimizer-engine
en/75-tax-calculator/.claude/skills/deduction-optimizer-engine - tax-bracket-simulator
en/75-tax-calculator/.claude/skills/tax-bracket-simulator - tax-calculator
en/75-tax-calculator/.claude/skills/tax-calculator - budget-calculator
en/76-travel-planner/.claude/skills/budget-calculator - route-optimizer
en/76-travel-planner/.claude/skills/route-optimizer - travel-planner
en/76-travel-planner/.claude/skills/travel-planner - color-harmony-engine
en/77-space-concept-board/.claude/skills/color-harmony-engine - space-concept-board
en/77-space-concept-board/.claude/skills/space-concept-board - spatial-layout-guide
en/77-space-concept-board/.claude/skills/spatial-layout-guide - compound-interest-simulator
en/78-personal-finance/.claude/skills/compound-interest-simulator - financial-ratio-analyzer
en/78-personal-finance/.claude/skills/financial-ratio-analyzer - personal-finance
en/78-personal-finance/.claude/skills/personal-finance - market-sizing-calculator
en/79-side-project-launcher/.claude/skills/market-sizing-calculator - side-project-launcher
en/79-side-project-launcher/.claude/skills/side-project-launcher - techstack-decision-matrix
en/79-side-project-launcher/.claude/skills/techstack-decision-matrix - vendor-negotiation-guide
en/80-wedding-planner/.claude/skills/vendor-negotiation-guide - wedding-budget-optimizer
en/80-wedding-planner/.claude/skills/wedding-budget-optimizer - wedding-planner
en/80-wedding-planner/.claude/skills/wedding-planner - api-doc-standards
en/81-technical-writer/.claude/skills/api-doc-standards - code-example-patterns
en/81-technical-writer/.claude/skills/code-example-patterns - diagram-patterns
en/81-technical-writer/.claude/skills/diagram-patterns - technical-writer
en/81-technical-writer/.claude/skills/technical-writer - data-visualization-guide
en/82-report-generator/.claude/skills/data-visualization-guide - kpi-dashboard-patterns
en/82-report-generator/.claude/skills/kpi-dashboard-patterns - report-generator
en/82-report-generator/.claude/skills/report-generator - checklist-design
en/83-sop-writer/.claude/skills/checklist-design - process-mapping
en/83-sop-writer/.claude/skills/process-mapping - sop-writer
en/83-sop-writer/.claude/skills/sop-writer - decision-frameworks
en/84-meeting-strategist/.claude/skills/decision-frameworks - facilitation-techniques
en/84-meeting-strategist/.claude/skills/facilitation-techniques - meeting-strategist
en/84-meeting-strategist/.claude/skills/meeting-strategist - audience-engagement
en/85-public-speaking/.claude/skills/audience-engagement - public-speaking
en/85-public-speaking/.claude/skills/public-speaking - rhetoric-patterns
en/85-public-speaking/.claude/skills/rhetoric-patterns - proposal-writer
en/86-proposal-writer/.claude/skills/proposal-writer - roi-calculator
en/86-proposal-writer/.claude/skills/roi-calculator - win-theme-builder
en/86-proposal-writer/.claude/skills/win-theme-builder - crisis-communication
en/87-crisis-communication/.claude/skills/crisis-communication - media-response-templates
en/87-crisis-communication/.claude/skills/media-response-templates - stakeholder-mapping
en/87-crisis-communication/.claude/skills/stakeholder-mapping - risk-register
en/88-risk-register/.claude/skills/risk-register - risk-response-patterns
en/88-risk-register/.claude/skills/risk-response-patterns - risk-scoring-matrix
en/88-risk-register/.claude/skills/risk-scoring-matrix - budget-planning
en/89-event-organizer/.claude/skills/budget-planning - event-organizer
en/89-event-organizer/.claude/skills/event-organizer - venue-evaluation
en/89-event-organizer/.claude/skills/venue-evaluation - competency-model
en/90-hiring-pipeline/.claude/skills/competency-model - hiring-pipeline
en/90-hiring-pipeline/.claude/skills/hiring-pipeline - interview-scorecard
en/90-hiring-pipeline/.claude/skills/interview-scorecard - buddy-program-guide
en/91-onboarding-system/.claude/skills/buddy-program-guide - learning-path-design
en/91-onboarding-system/.claude/skills/learning-path-design - onboarding-system
en/91-onboarding-system/.claude/skills/onboarding-system - flowchart-standards
en/92-operations-manual/.claude/skills/flowchart-standards - knowledge-base-design
en/92-operations-manual/.claude/skills/knowledge-base-design - operations-manual
en/92-operations-manual/.claude/skills/operations-manual - feedback-analyzer
en/93-feedback-analyzer/.claude/skills/feedback-analyzer - sentiment-scoring
en/93-feedback-analyzer/.claude/skills/sentiment-scoring - text-analytics-methods
en/93-feedback-analyzer/.claude/skills/text-analytics-methods - audit-report
en/94-audit-report/.claude/skills/audit-report - finding-classification
en/94-audit-report/.claude/skills/finding-classification - internal-control-framework
en/94-audit-report/.claude/skills/internal-control-framework - contract-checklist
en/95-procurement-docs/.claude/skills/contract-checklist - procurement-docs
en/95-procurement-docs/.claude/skills/procurement-docs - vendor-scoring
en/95-procurement-docs/.claude/skills/vendor-scoring - cap-rate-calculator
en/96-real-estate-analyst/.claude/skills/cap-rate-calculator - location-scoring
en/96-real-estate-analyst/.claude/skills/location-scoring - real-estate-analyst
en/96-real-estate-analyst/.claude/skills/real-estate-analyst - conversion-optimization
en/97-ecommerce-launcher/.claude/skills/conversion-optimization - ecommerce-launcher
en/97-ecommerce-launcher/.claude/skills/ecommerce-launcher - product-copy-formulas
en/97-ecommerce-launcher/.claude/skills/product-copy-formulas - academic-paper
en/98-academic-paper/.claude/skills/academic-paper - citation-standards
en/98-academic-paper/.claude/skills/citation-standards - research-methodology
en/98-academic-paper/.claude/skills/research-methodology - ghg-protocol
en/99-sustainability-audit/.claude/skills/ghg-protocol - materiality-assessment
en/99-sustainability-audit/.claude/skills/materiality-assessment - sustainability-audit
en/99-sustainability-audit/.claude/skills/sustainability-audit - hook-writing
ko/01-youtube-production/.claude/skills/hook-writing - thumbnail-psychology
ko/01-youtube-production/.claude/skills/thumbnail-psychology - youtube-production
ko/01-youtube-production/.claude/skills/youtube-production - audio-storytelling
ko/02-podcast-studio/.claude/skills/audio-storytelling - interview-techniques
ko/02-podcast-studio/.claude/skills/interview-techniques - podcast-growth
ko/02-podcast-studio/.claude/skills/podcast-growth - podcast-studio
ko/02-podcast-studio/.claude/skills/podcast-studio - audience-segmentation
ko/03-newsletter-engine/.claude/skills/audience-segmentation - deliverability-optimization
ko/03-newsletter-engine/.claude/skills/deliverability-optimization - email-copywriting
ko/03-newsletter-engine/.claude/skills/email-copywriting - newsletter-engine
ko/03-newsletter-engine/.claude/skills/newsletter-engine - content-atomization
ko/04-content-repurposer/.claude/skills/content-atomization - content-repurposer
ko/04-content-repurposer/.claude/skills/content-repurposer - platform-adaptation
ko/04-content-repurposer/.claude/skills/platform-adaptation - branching-logic
ko/05-game-narrative/.claude/skills/branching-logic - dialogue-systems
ko/05-game-narrative/.claude/skills/dialogue-systems - game-narrative
ko/05-game-narrative/.claude/skills/game-narrative - quest-design-patterns
ko/05-game-narrative/.claude/skills/quest-design-patterns - brand-archetype
ko/06-brand-identity/.claude/skills/brand-archetype - brand-identity
ko/06-brand-identity/.claude/skills/brand-identity - color-psychology
ko/06-brand-identity/.claude/skills/color-psychology - naming-methodology
ko/06-brand-identity/.claude/skills/naming-methodology - character-design-system
ko/07-comic-creator/.claude/skills/character-design-system - comic-creator
ko/07-comic-creator/.claude/skills/comic-creator - panel-composition
ko/07-comic-creator/.claude/skills/panel-composition - visual-narrative
ko/07-comic-creator/.claude/skills/visual-narrative - assessment-engineering
ko/08-course-builder/.claude/skills/assessment-engineering - course-builder
ko/08-course-builder/.claude/skills/course-builder - lab-scaffolding
ko/08-course-builder/.claude/skills/lab-scaffolding - learning-design
ko/08-course-builder/.claude/skills/learning-design - documentary-research
ko/09-documentary-research/.claude/skills/documentary-research - interview-design
ko/09-documentary-research/.claude/skills/interview-design - investigative-research
ko/09-documentary-research/.claude/skills/investigative-research - narrative-structure
ko/09-documentary-research/.claude/skills/narrative-structure - hashtag-science
ko/10-social-media-manager/.claude/skills/hashtag-science - platform-algorithms
ko/10-social-media-manager/.claude/skills/platform-algorithms - social-media-manager
ko/10-social-media-manager/.claude/skills/social-media-manager - viral-copywriting
ko/10-social-media-manager/.claude/skills/viral-copywriting - ip-landscape-analysis
ko/100-ip-portfolio/.claude/skills/ip-landscape-analysis - ip-portfolio
ko/100-ip-portfolio/.claude/skills/ip-portfolio - patent-valuation
ko/100-ip-portfolio/.claude/skills/patent-valuation - book-metadata-seo
ko/11-book-publishing/.claude/skills/book-metadata-seo - book-publishing
ko/11-book-publishing/.claude/skills/book-publishing - cover-design-psychology
ko/11-book-publishing/.claude/skills/cover-design-psychology - developmental-editing
ko/11-book-publishing/.claude/skills/developmental-editing - ad-copywriting-formulas
ko/12-advertising-campaign/.claude/skills/ad-copywriting-formulas - advertising-campaign
ko/12-advertising-campaign/.claude/skills/advertising-campaign - media-mix-calculator
ko/12-advertising-campaign/.claude/skills/media-mix-calculator - data-visualization-guide
ko/13-presentation-designer/.claude/skills/data-visualization-guide - presentation-designer
ko/13-presentation-designer/.claude/skills/presentation-designer - slide-layout-patterns
ko/13-presentation-designer/.claude/skills/slide-layout-patterns - cultural-adaptation-guide
ko/14-translation-localization/.claude/skills/cultural-adaptation-guide - translation-localization
ko/14-translation-localization/.claude/skills/translation-localization - translation-quality-mqm
ko/14-translation-localization/.claude/skills/translation-quality-mqm - image-prompt-engineering
ko/15-visual-storytelling/.claude/skills/image-prompt-engineering - narrative-structure-patterns
ko/15-visual-storytelling/.claude/skills/narrative-structure-patterns - visual-storytelling
ko/15-visual-storytelling/.claude/skills/visual-storytelling - api-security-checklist
ko/16-fullstack-webapp/.claude/skills/api-security-checklist - component-patterns
ko/16-fullstack-webapp/.claude/skills/component-patterns - fullstack-webapp
ko/16-fullstack-webapp/.claude/skills/fullstack-webapp - app-store-optimization
ko/17-mobile-app-builder/.claude/skills/app-store-optimization - mobile-app-builder
ko/17-mobile-app-builder/.claude/skills/mobile-app-builder - mobile-ux-patterns
ko/17-mobile-app-builder/.claude/skills/mobile-ux-patterns - api-designer
ko/18-api-designer/.claude/skills/api-designer - api-error-design
ko/18-api-designer/.claude/skills/api-error-design - rest-api-conventions
ko/18-api-designer/.claude/skills/rest-api-conventions - database-architect
ko/19-database-architect/.claude/skills/database-architect - normalization-patterns
ko/19-database-architect/.claude/skills/normalization-patterns - query-optimization-catalog
ko/19-database-architect/.claude/skills/query-optimization-catalog - cicd-pipeline
ko/20-cicd-pipeline/.claude/skills/cicd-pipeline - deployment-strategies
ko/20-cicd-pipeline/.claude/skills/deployment-strategies - pipeline-security-gates
ko/20-cicd-pipeline/.claude/skills/pipeline-security-gates - code-reviewer
ko/21-code-reviewer/.claude/skills/code-reviewer - refactoring-catalog
ko/21-code-reviewer/.claude/skills/refactoring-catalog - vulnerability-patterns
ko/21-code-reviewer/.claude/skills/vulnerability-patterns - dependency-analysis
ko/22-legacy-modernizer/.claude/skills/dependency-analysis - legacy-modernizer
ko/22-legacy-modernizer/.claude/skills/legacy-modernizer - strangler-fig-patterns
ko/22-legacy-modernizer/.claude/skills/strangler-fig-patterns - ddd-context-mapping
ko/23-microservice-designer/.claude/skills/ddd-context-mapping - distributed-patterns
ko/23-microservice-designer/.claude/skills/distributed-patterns - microservice-designer
ko/23-microservice-designer/.claude/skills/microservice-designer - mocking-strategy
ko/24-test-automation/.claude/skills/mocking-strategy - test-automation
ko/24-test-automation/.claude/skills/test-automation - test-design-patterns
ko/24-test-automation/.claude/skills/test-design-patterns - incident-postmortem
ko/25-incident-postmortem/.claude/skills/incident-postmortem - rca-methodology
ko/25-incident-postmortem/.claude/skills/rca-methodology - sla-impact-calculator
ko/25-incident-postmortem/.claude/skills/sla-impact-calculator - cloud-cost-models
ko/26-infra-as-code/.claude/skills/cloud-cost-models - infra-as-code
ko/26-infra-as-code/.claude/skills/infra-as-code - terraform-module-patterns
ko/26-infra-as-code/.claude/skills/terraform-module-patterns - dag-orchestration-patterns
ko/27-data-pipeline/.claude/skills/dag-orchestration-patterns - data-pipeline
ko/27-data-pipeline/.claude/skills/data-pipeline - data-quality-framework
ko/27-data-pipeline/.claude/skills/data-quality-framework - cve-analysis
ko/28-security-audit/.claude/skills/cve-analysis - owasp-testing-guide
ko/28-security-audit/.claude/skills/owasp-testing-guide - security-audit
ko/28-security-audit/.claude/skills/security-audit - threat-modeling
ko/28-security-audit/.claude/skills/threat-modeling - caching-strategy-selector
ko/29-performance-optimizer/.claude/skills/caching-strategy-selector - performance-optimizer
ko/29-performance-optimizer/.claude/skills/performance-optimizer - query-optimization-patterns
ko/29-performance-optimizer/.claude/skills/query-optimization-patterns - community-health-metrics
ko/30-open-source-launcher/.claude/skills/community-health-metrics - license-compatibility-matrix
ko/30-open-source-launcher/.claude/skills/license-compatibility-matrix - open-source-launcher
ko/30-open-source-launcher/.claude/skills/open-source-launcher - experiment-tracking-setup
ko/31-ml-experiment/.claude/skills/experiment-tracking-setup - feature-engineering-cookbook
ko/31-ml-experiment/.claude/skills/feature-engineering-cookbook - ml-experiment
ko/31-ml-experiment/.claude/skills/ml-experiment - model-selection-guide
ko/31-ml-experiment/.claude/skills/model-selection-guide - data-analysis
ko/32-data-analysis/.claude/skills/data-analysis - statistical-tests-selector
ko/32-data-analysis/.claude/skills/statistical-tests-selector - visualization-chooser
ko/32-data-analysis/.claude/skills/visualization-chooser - nlp-preprocessing-toolkit
ko/33-text-processor/.claude/skills/nlp-preprocessing-toolkit - sentiment-lexicon-builder
ko/33-text-processor/.claude/skills/sentiment-lexicon-builder - text-processor
ko/33-text-processor/.claude/skills/text-processor - data-migration
ko/34-data-migration/.claude/skills/data-migration - data-validation-patterns
ko/34-data-migration/.claude/skills/data-validation-patterns - type-mapping-encyclopedia
ko/34-data-migration/.claude/skills/type-mapping-encyclopedia - api-client-generator
ko/35-api-client-generator/.claude/skills/api-client-generator - openapi-spec-patterns
ko/35-api-client-generator/.claude/skills/openapi-spec-patterns - sdk-design-patterns
ko/35-api-client-generator/.claude/skills/sdk-design-patterns - design-system
ko/36-design-system/.claude/skills/design-system - token-generator
ko/36-design-system/.claude/skills/token-generator - wcag-checker
ko/36-design-system/.claude/skills/wcag-checker - anti-bot-analyzer
ko/37-web-scraper/.claude/skills/anti-bot-analyzer - selector-generator
ko/37-web-scraper/.claude/skills/selector-generator - web-scraper
ko/37-web-scraper/.claude/skills/web-scraper - chatbot-builder
ko/38-chatbot-builder/.claude/skills/chatbot-builder - conversation-flow-validator
ko/38-chatbot-builder/.claude/skills/conversation-flow-validator - intent-taxonomy-builder
ko/38-chatbot-builder/.claude/skills/intent-taxonomy-builder - changelog-generator
ko/39-changelog-generator/.claude/skills/changelog-generator - commit-parser
ko/39-changelog-generator/.claude/skills/commit-parser - semver-analyzer
ko/39-changelog-generator/.claude/skills/semver-analyzer - arg-parser-generator
ko/40-cli-tool-builder/.claude/skills/arg-parser-generator - cli-tool-builder
ko/40-cli-tool-builder/.claude/skills/cli-tool-builder - ux-linter
ko/40-cli-tool-builder/.claude/skills/ux-linter - chunking-strategy-guide
ko/41-llm-app-builder/.claude/skills/chunking-strategy-guide - llm-app-builder
ko/41-llm-app-builder/.claude/skills/llm-app-builder - prompt-optimizer
ko/41-llm-app-builder/.claude/skills/prompt-optimizer - bi-dashboard
ko/42-bi-dashboard/.claude/skills/bi-dashboard - chart-selector
ko/42-bi-dashboard/.claude/skills/chart-selector - kpi-tree-builder
ko/42-bi-dashboard/.claude/skills/kpi-tree-builder - pitch-deck-framework
ko/43-startup-launcher/.claude/skills/pitch-deck-framework - startup-launcher
ko/43-startup-launcher/.claude/skills/startup-launcher - unit-economics-calculator
ko/43-startup-launcher/.claude/skills/unit-economics-calculator - market-research
ko/44-market-research/.claude/skills/market-research - porter-five-forces
ko/44-market-research/.claude/skills/porter-five-forces - tam-sam-som-calculator
ko/44-market-research/.claude/skills/tam-sam-som-calculator - budget-standard-checker
ko/45-gov-funding-plan/.claude/skills/budget-standard-checker - gov-funding-plan
ko/45-gov-funding-plan/.claude/skills/gov-funding-plan - scoring-optimizer
ko/45-gov-funding-plan/.claude/skills/scoring-optimizer - product-manager
ko/46-product-manager/.claude/skills/product-manager - rice-prioritizer
ko/46-product-manager/.claude/skills/rice-prioritizer - story-point-estimator
ko/46-product-manager/.claude/skills/story-point-estimator - okr-quality-checker
ko/47-strategy-framework/.claude/skills/okr-quality-checker - strategy-framework
ko/47-strategy-framework/.claude/skills/strategy-framework - tows-matrix-builder
ko/47-strategy-framework/.claude/skills/tows-matrix-builder - objection-handler
ko/48-sales-enablement/.claude/skills/objection-handler - roi-calculator
ko/48-sales-enablement/.claude/skills/roi-calculator - sales-enablement
ko/48-sales-enablement/.claude/skills/sales-enablement - csat-analyzer
ko/49-customer-support/.claude/skills/csat-analyzer - customer-support
ko/49-customer-support/.claude/skills/customer-support - escalation-flowchart
ko/49-customer-support/.claude/skills/escalation-flowchart - price-elasticity-calculator
ko/50-pricing-strategy/.claude/skills/price-elasticity-calculator - pricing-strategy
ko/50-pricing-strategy/.claude/skills/pricing-strategy - psm-analyzer
ko/50-pricing-strategy/.claude/skills/psm-analyzer - financial-ratio-analyzer
ko/51-investor-report/.claude/skills/financial-ratio-analyzer - investor-report
ko/51-investor-report/.claude/skills/investor-report - ir-narrative-builder
ko/51-investor-report/.claude/skills/ir-narrative-builder - kpi-benchmark-engine
ko/51-investor-report/.claude/skills/kpi-benchmark-engine - decision-trigger-mapper
ko/52-scenario-planner/.claude/skills/decision-trigger-mapper - scenario-narrative-engine
ko/52-scenario-planner/.claude/skills/scenario-narrative-engine - scenario-planner
ko/52-scenario-planner/.claude/skills/scenario-planner - steep-framework
ko/52-scenario-planner/.claude/skills/steep-framework - dcf-valuation
ko/53-financial-modeler/.claude/skills/dcf-valuation - financial-modeler
ko/53-financial-modeler/.claude/skills/financial-modeler - sensitivity-analysis
ko/53-financial-modeler/.claude/skills/sensitivity-analysis - unit-economics
ko/53-financial-modeler/.claude/skills/unit-economics - budget-rule-engine
ko/54-grant-writer/.claude/skills/budget-rule-engine - grant-writer
ko/54-grant-writer/.claude/skills/grant-writer - scoring-optimizer
ko/54-grant-writer/.claude/skills/scoring-optimizer - pricing-calculator
ko/55-rfp-responder/.claude/skills/pricing-calculator - rfp-responder
ko/55-rfp-responder/.claude/skills/rfp-responder - win-theme-builder
ko/55-rfp-responder/.claude/skills/win-theme-builder - cefr-assessment
ko/56-language-tutor/.claude/skills/cefr-assessment - language-tutor
ko/56-language-tutor/.claude/skills/language-tutor - spaced-repetition
ko/56-language-tutor/.claude/skills/spaced-repetition - bloom-taxonomy-engine
ko/57-exam-prep/.claude/skills/bloom-taxonomy-engine - error-pattern-analyzer
ko/57-exam-prep/.claude/skills/error-pattern-analyzer - exam-prep
ko/57-exam-prep/.claude/skills/exam-prep - academic-writing-style
ko/58-thesis-advisor/.claude/skills/academic-writing-style - research-methodology
ko/58-thesis-advisor/.claude/skills/research-methodology - thesis-advisor
ko/58-thesis-advisor/.claude/skills/thesis-advisor - code-kata-generator
ko/59-coding-bootcamp/.claude/skills/code-kata-generator - coding-bootcamp
ko/59-coding-bootcamp/.claude/skills/coding-bootcamp - tech-interview-prep
ko/59-coding-bootcamp/.claude/skills/tech-interview-prep - argumentation-framework
ko/60-debate-simulator/.claude/skills/argumentation-framework - debate-simulator
ko/60-debate-simulator/.claude/skills/debate-simulator - logical-fallacy-detector
ko/60-debate-simulator/.claude/skills/logical-fallacy-detector - bars-assessment
ko/61-competency-modeler/.claude/skills/bars-assessment - competency-modeler
ko/61-competency-modeler/.claude/skills/competency-modeler - ksa-taxonomy
ko/61-competency-modeler/.claude/skills/ksa-taxonomy - adr-writer
ko/62-adr-writer/.claude/skills/adr-writer - madr-template-engine
ko/62-adr-writer/.claude/skills/madr-template-engine - quality-attribute-analyzer
ko/62-adr-writer/.claude/skills/quality-attribute-analyzer - citation-formatter
ko/63-research-assistant/.claude/skills/citation-formatter - research-assistant
ko/63-research-assistant/.claude/skills/research-assistant - systematic-review-protocol
ko/63-research-assistant/.claude/skills/systematic-review-protocol - content-lifecycle-manager
ko/64-knowledge-base-builder/.claude/skills/content-lifecycle-manager - information-architecture
ko/64-knowledge-base-builder/.claude/skills/information-architecture - knowledge-base-builder
ko/64-knowledge-base-builder/.claude/skills/knowledge-base-builder - ats-optimizer
ko/65-personal-branding/.claude/skills/ats-optimizer - linkedin-seo
ko/65-personal-branding/.claude/skills/linkedin-seo - personal-branding
ko/65-personal-branding/.claude/skills/personal-branding - clause-risk-database
ko/66-contract-analyzer/.claude/skills/clause-risk-database - contract-analyzer
ko/66-contract-analyzer/.claude/skills/contract-analyzer - negotiation-playbook
ko/66-contract-analyzer/.claude/skills/negotiation-playbook - audit-checklist-engine
ko/67-compliance-checker/.claude/skills/audit-checklist-engine - compliance-checker
ko/67-compliance-checker/.claude/skills/compliance-checker - regulation-knowledge-base
ko/67-compliance-checker/.claude/skills/regulation-knowledge-base - claim-drafting-patterns
ko/68-patent-drafter/.claude/skills/claim-drafting-patterns - patent-drafter
ko/68-patent-drafter/.claude/skills/patent-drafter - prior-art-search-strategy
ko/68-patent-drafter/.claude/skills/prior-art-search-strategy - data-flow-mapper
ko/69-privacy-engineer/.claude/skills/data-flow-mapper - gdpr-pipa-cross-reference
ko/69-privacy-engineer/.claude/skills/gdpr-pipa-cross-reference - privacy-engineer
ko/69-privacy-engineer/.claude/skills/privacy-engineer - case-analysis-framework
ko/70-legal-research/.claude/skills/case-analysis-framework - legal-research
ko/70-legal-research/.claude/skills/legal-research - legal-writing-methodology
ko/70-legal-research/.claude/skills/legal-writing-methodology - cross-document-linker
ko/71-service-legal-docs/.claude/skills/cross-document-linker - service-legal-docs
ko/71-service-legal-docs/.claude/skills/service-legal-docs - unfair-terms-detector
ko/71-service-legal-docs/.claude/skills/unfair-terms-detector - form-filling-guide
ko/72-regulatory-filing/.claude/skills/form-filling-guide - permit-requirements-db
ko/72-regulatory-filing/.claude/skills/permit-requirements-db - regulatory-filing
ko/72-regulatory-filing/.claude/skills/regulatory-filing - ingredient-substitution-engine
ko/73-meal-planner/.claude/skills/ingredient-substitution-engine - meal-planner
ko/73-meal-planner/.claude/skills/meal-planner - nutrition-calculator
ko/73-meal-planner/.claude/skills/nutrition-calculator - exercise-biomechanics
ko/74-fitness-program/.claude/skills/exercise-biomechanics - fitness-program
ko/74-fitness-program/.claude/skills/fitness-program - periodization-engine
ko/74-fitness-program/.claude/skills/periodization-engine - deduction-optimizer-engine
ko/75-tax-calculator/.claude/skills/deduction-optimizer-engine - tax-bracket-simulator
ko/75-tax-calculator/.claude/skills/tax-bracket-simulator - tax-calculator
ko/75-tax-calculator/.claude/skills/tax-calculator - budget-calculator
ko/76-travel-planner/.claude/skills/budget-calculator - route-optimizer
ko/76-travel-planner/.claude/skills/route-optimizer - travel-planner
ko/76-travel-planner/.claude/skills/travel-planner - color-harmony-engine
ko/77-space-concept-board/.claude/skills/color-harmony-engine - space-concept-board
ko/77-space-concept-board/.claude/skills/space-concept-board - spatial-layout-guide
ko/77-space-concept-board/.claude/skills/spatial-layout-guide - compound-interest-simulator
ko/78-personal-finance/.claude/skills/compound-interest-simulator - financial-ratio-analyzer
ko/78-personal-finance/.claude/skills/financial-ratio-analyzer - personal-finance
ko/78-personal-finance/.claude/skills/personal-finance - market-sizing-calculator
ko/79-side-project-launcher/.claude/skills/market-sizing-calculator - side-project-launcher
ko/79-side-project-launcher/.claude/skills/side-project-launcher - techstack-decision-matrix
ko/79-side-project-launcher/.claude/skills/techstack-decision-matrix - vendor-negotiation-guide
ko/80-wedding-planner/.claude/skills/vendor-negotiation-guide - wedding-budget-optimizer
ko/80-wedding-planner/.claude/skills/wedding-budget-optimizer - wedding-planner
ko/80-wedding-planner/.claude/skills/wedding-planner - api-doc-standards
ko/81-technical-writer/.claude/skills/api-doc-standards - code-example-patterns
ko/81-technical-writer/.claude/skills/code-example-patterns - diagram-patterns
ko/81-technical-writer/.claude/skills/diagram-patterns - technical-writer
ko/81-technical-writer/.claude/skills/technical-writer - data-visualization-guide
ko/82-report-generator/.claude/skills/data-visualization-guide - kpi-dashboard-patterns
ko/82-report-generator/.claude/skills/kpi-dashboard-patterns - report-generator
ko/82-report-generator/.claude/skills/report-generator - checklist-design
ko/83-sop-writer/.claude/skills/checklist-design - process-mapping
ko/83-sop-writer/.claude/skills/process-mapping - sop-writer
ko/83-sop-writer/.claude/skills/sop-writer - decision-frameworks
ko/84-meeting-strategist/.claude/skills/decision-frameworks - facilitation-techniques
ko/84-meeting-strategist/.claude/skills/facilitation-techniques - meeting-strategist
ko/84-meeting-strategist/.claude/skills/meeting-strategist - audience-engagement
ko/85-public-speaking/.claude/skills/audience-engagement - public-speaking
ko/85-public-speaking/.claude/skills/public-speaking - rhetoric-patterns
ko/85-public-speaking/.claude/skills/rhetoric-patterns - proposal-writer
ko/86-proposal-writer/.claude/skills/proposal-writer - roi-calculator
ko/86-proposal-writer/.claude/skills/roi-calculator - win-theme-builder
ko/86-proposal-writer/.claude/skills/win-theme-builder - crisis-communication
ko/87-crisis-communication/.claude/skills/crisis-communication - media-response-templates
ko/87-crisis-communication/.claude/skills/media-response-templates - stakeholder-mapping
ko/87-crisis-communication/.claude/skills/stakeholder-mapping - risk-register
ko/88-risk-register/.claude/skills/risk-register - risk-response-patterns
ko/88-risk-register/.claude/skills/risk-response-patterns - risk-scoring-matrix
ko/88-risk-register/.claude/skills/risk-scoring-matrix - budget-planning
ko/89-event-organizer/.claude/skills/budget-planning - event-organizer
ko/89-event-organizer/.claude/skills/event-organizer - venue-evaluation
ko/89-event-organizer/.claude/skills/venue-evaluation - competency-model
ko/90-hiring-pipeline/.claude/skills/competency-model - hiring-pipeline
ko/90-hiring-pipeline/.claude/skills/hiring-pipeline - interview-scorecard
ko/90-hiring-pipeline/.claude/skills/interview-scorecard - buddy-program-guide
ko/91-onboarding-system/.claude/skills/buddy-program-guide - learning-path-design
ko/91-onboarding-system/.claude/skills/learning-path-design - onboarding-system
ko/91-onboarding-system/.claude/skills/onboarding-system - flowchart-standards
ko/92-operations-manual/.claude/skills/flowchart-standards - knowledge-base-design
ko/92-operations-manual/.claude/skills/knowledge-base-design - operations-manual
ko/92-operations-manual/.claude/skills/operations-manual - feedback-analyzer
ko/93-feedback-analyzer/.claude/skills/feedback-analyzer - sentiment-scoring
ko/93-feedback-analyzer/.claude/skills/sentiment-scoring - text-analytics-methods
ko/93-feedback-analyzer/.claude/skills/text-analytics-methods - audit-report
ko/94-audit-report/.claude/skills/audit-report - finding-classification
ko/94-audit-report/.claude/skills/finding-classification - internal-control-framework
ko/94-audit-report/.claude/skills/internal-control-framework - contract-checklist
ko/95-procurement-docs/.claude/skills/contract-checklist - procurement-docs
ko/95-procurement-docs/.claude/skills/procurement-docs - vendor-scoring
ko/95-procurement-docs/.claude/skills/vendor-scoring - cap-rate-calculator
ko/96-real-estate-analyst/.claude/skills/cap-rate-calculator - location-scoring
ko/96-real-estate-analyst/.claude/skills/location-scoring - real-estate-analyst
ko/96-real-estate-analyst/.claude/skills/real-estate-analyst - conversion-optimization
ko/97-ecommerce-launcher/.claude/skills/conversion-optimization - ecommerce-launcher
ko/97-ecommerce-launcher/.claude/skills/ecommerce-launcher - product-copy-formulas
ko/97-ecommerce-launcher/.claude/skills/product-copy-formulas - academic-paper
ko/98-academic-paper/.claude/skills/academic-paper - citation-standards
ko/98-academic-paper/.claude/skills/citation-standards - research-methodology
ko/98-academic-paper/.claude/skills/research-methodology - ghg-protocol
ko/99-sustainability-audit/.claude/skills/ghg-protocol - materiality-assessment
ko/99-sustainability-audit/.claude/skills/materiality-assessment - sustainability-audit
ko/99-sustainability-audit/.claude/skills/sustainability-audit
How it works
hook-writing
When your agent uses it
YouTube video hook (opening) writing skill. Provides 15 hook patterns, viewer retention psychology, and click-to-watch conversion formulas. Referenced by the scriptwriter agent when designing video openings to minimize viewer drop-off. Also used standalone for requests like 'show me hook patterns' or 'how to write great openings.' Full script writing and SEO optimization fall under the youtube-production skill.
What it loads into context
Frontmatter
85 tokensAlways available to the agent
SKILL.md
1,262 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- The Psychology of Hooks
- 15 Hook Patterns
- Hook Combination Formula
- Hook–Thumbnail–Title Triangle Alignment
- Retention Rate Benchmarks
Files
skill.mdcore5,294 bytes
Read SKILL.md
# Hook Writing — YouTube Hook Specialist Guide
A methodology for designing hooks that capture the viewer within the first 5–10 seconds. Extends the scriptwriter agent's hook-crafting capabilities.
## The Psychology of Hooks
Viewers decide whether to keep watching within an average of **3 seconds**. When the first-30-second retention rate exceeds 70%, the probability of algorithmic recommendation increases dramatically.
**Core Principle**: A hook must create a **Curiosity Gap** — the tension between what the viewer "wants to know" and what they "don't yet know."
## 15 Hook Patterns
### 1. Shocking Stat
"87% of people don't know about this"thumbnail-psychology
When your agent uses it
YouTube thumbnail visual psychology skill. Provides color theory, composition principles, CTR optimization patterns, and mobile readability checklists. Referenced by the thumbnail-designer agent when designing visually effective thumbnails. Also used standalone for requests like 'how to make great thumbnails' or 'thumbnails that boost click-through rate.' Actual image generation falls under the gemini-3-pro-imagegen skill.
What it loads into context
Frontmatter
86 tokensAlways available to the agent
SKILL.md
1,216 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Eye-Tracking Principles
- Color Psychology
- Composition Patterns (7 Types)
- Text Overlay Rules
- Face/Emotion Impact
- 3-Second Test Checklist
Files
skill.mdcore5,061 bytes
Read SKILL.md
# Thumbnail Psychology — Visual Psychology Guide for Thumbnails
Visual psychology principles that drive subconscious clicks. Extends the thumbnail-designer agent's design capabilities.
## Eye-Tracking Principles
The average viewer's gaze lingers on a thumbnail for **1.5 seconds**. Within that time, you must communicate 3 things:
1. **What the video is about** (topic)
2. **Why they should click** (value)
3. **An emotional reaction** (curiosity/surprise/fear)
## Color Psychology
### Color-Emotion Mappingyoutube-production
When your agent uses it
A full production pipeline where an agent team collaborates to generate YouTube video content — strategy, script, thumbnail, and SEO metadata — all at once. Use this skill for requests like 'plan a YouTube video,' 'write a video script,' 'video scriptwriting,' 'YouTube content strategy,' 'video scenario,' 'YouTube Shorts planning,' 'create a YouTube thumbnail,' 'video SEO optimization,' 'YouTube channel content,' and other YouTube video production tasks. Also supports SEO optimization or thumbnail creation when an existing script is provided. Note: actual video editing (Premiere, DaVinci), YouTube Analytics API integration, and channel operations dashboard setup are outside this skill's scope.
What it loads into context
Frontmatter
150 tokensAlways available to the agent
SKILL.md
1,744 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Roster
- Workflow
- Scope-Based Modes
- Data Transfer Protocol
- Error Handling
- Agent Extension Skills
- Test Scenarios
Files
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# YouTube Production — Full Video Content Production Pipeline
An agent team collaborates to produce YouTube video content through the pipeline of strategy → script → thumbnail → SEO, all at once.
## Execution Mode
**Agent Team** — 5 members communicate directly via SendMessage and cross-validate each other's work.
## Agent Roster
| Agent | File | Role | Type |
|-------|------|------|------|
| content-strategist | `.claude/agents/content-strategist.md` | Topic analysis, competitive benchmarking, concept design | general-purpose |
| scriptwriter | `.claude/agents/scriptwriter.md` | Script writing, visual cue insertion | general-purpose |audio-storytelling
When your agent uses it
Audio storytelling skill used by the podcast scriptwriter and show note editor. Provides narrative structure, pacing, and sound design methodologies that maximize listener immersion in an audio-only medium. Use this skill's knowledge for 'audio narrative,' 'listener retention,' 'story arc,' 'sound design,' and similar requests.
What it loads into context
Frontmatter
69 tokensAlways available to the agent
SKILL.md
1,534 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Why Audio Storytelling Is Different
- Episode Narrative Structure: 5 Arc Patterns
- Pacing Formula: BPM (Beats Per Minute) Model
- 12 Audio Devices for Boosting Listener Retention
- Sound Design Direction Guide
- Script Density Formula by Duration
Files
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# Audio Storytelling — Audio Narrative Design Methodology
Storytelling techniques unique to the audio medium, used by the scriptwriter and shownote-editor agents.
## Why Audio Storytelling Is Different
Video is visual + auditory. Text is visual. Podcasts are **purely auditory**. This is not a limitation — it's an opportunity.
1. **Theater of the Mind**: Listeners create their own visuals in their heads — vivid description is everything
2. **Intimacy**: A medium that whispers directly into someone's ear through earbuds — it's a friend's conversation, not a formal speech
3. **Multitasking Competition**: People listen while driving/exercising/doing chores — you need devices that recapture attention
## Episode Narrative Structure: 5 Arc Patterns
interview-techniques
When your agent uses it
Interview technique skill used by the podcast scriptwriter. Provides question design, conversation flow management, and emotional arc design methodologies for drawing out deep conversations in guest interviews. Use this skill's knowledge for 'interview question design,' 'conversation structure,' 'guest questions,' 'dialogue flow,' and similar requests.
What it loads into context
Frontmatter
70 tokensAlways available to the agent
SKILL.md
1,431 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Why This Skill Is Needed
- Question Design Framework: The DEPTH Model
- Question Type Pattern Library
- Conversation Flow Design: The Emotional Arc
- Episode Type-Specific Question Structures
- Prohibited Patterns
- Guest Pre-Research Checklist
Files
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# Interview Techniques — Podcast Interview Methodology
Specialist interview design knowledge used by the scriptwriter agent when crafting interview-format episode scripts.
## Why This Skill Is Needed
Podcast interviews are different from standard interviews. You must create tension and immersion **using only audio, with no visible audience**. Good questions yield good answers, and good answers determine listener retention.
## Question Design Framework: The DEPTH Model
| Stage | Acronym | Description | Example |
|-------|---------|-------------|---------|
| **D**oor-opener | Opening | An entry point where the guest can start comfortably | "What first drew you to this field?" |
| **E**xplore | Exploration | Follow-up questions that surface the story beneath the surface | "What was the hardest part about that time?" |podcast-growth
When your agent uses it
Podcast growth strategy skill used by the distribution manager. Provides platform-specific optimization, cross-promotion, listener acquisition strategies, and community building methodologies. Use this skill's knowledge for 'podcast growth,' 'distribution optimization,' 'listener acquisition,' 'platform strategy,' and similar requests.
What it loads into context
Frontmatter
63 tokensAlways available to the agent
SKILL.md
1,252 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Why This Skill Is Needed
- Platform-Specific Metadata Optimization
- Episode Promotional Calendar: 7-Day Plan
- Promotional Copy Framework: The HIKE Formula
- Cross-Promotion Strategies
- Listener Growth Metrics
- Episode Description SEO Template
Files
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# Podcast Growth — Podcast Growth Strategy Methodology
Specialist knowledge on listener acquisition and growth used by the distribution-manager agent when designing distribution packages.
## Why This Skill Is Needed
Great content is a necessary condition, not a sufficient one. There are 5 million+ podcasts worldwide. **If it isn't discovered, it might as well not exist.**
## Platform-Specific Metadata Optimization
### Apple Podcasts
| Field | Optimization Rule | Reason |
|-------|------------------|--------|
| **Title** | Primary keyword at the front (under 40 chars) | Search algorithm prioritizes front-loaded indexing |podcast-studio
When your agent uses it
A full production pipeline where an agent team collaborates to generate podcast episode content — planning, research, scripting, show notes, and distribution strategy — all at once. Use this skill for requests like 'plan a podcast episode,' 'write an episode script,' 'podcast scriptwriting,' 'podcast show notes,' 'episode planning,' 'interview script,' 'podcast distribution,' 'audio content planning,' and other podcast production tasks. Also supports show note or distribution package creation when an existing script or research is provided. Note: actual audio recording/editing (Audacity, GarageBand), podcast hosting API integration, and RSS feed technical setup are outside this skill's scope.
What it loads into context
Frontmatter
145 tokensAlways available to the agent
SKILL.md
1,749 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Roster
- Workflow
- Scope-Based Modes
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# Podcast Studio — Full Podcast Production Pipeline
An agent team collaborates to produce podcast episodes through the pipeline of planning → research → scripting → show notes → distribution, all at once.
## Execution Mode
**Agent Team** — 5 members communicate directly via SendMessage and cross-validate each other's work.
## Agent Roster
| Agent | File | Role | Type |
|-------|------|------|------|
| researcher | `.claude/agents/researcher.md` | Topic investigation, fact-checking, talking point extraction | general-purpose |
| scriptwriter | `.claude/agents/scriptwriter.md` | Episode script writing, dialogue cue insertion | general-purpose |audience-segmentation
When your agent uses it
Audience segmentation skill used by the analyst and curator agents. Provides subscriber behavior analysis, persona-based content personalization, and segment-specific strategy methodologies. Use for 'audience analysis,' 'segmentation,' 'persona,' 'send optimization,' and similar requests.
What it loads into context
Frontmatter
59 tokensAlways available to the agent
SKILL.md
1,240 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Why Segmentation Matters
- Newsletter Segmentation Model: The BEAR Framework
- Segment-Specific Content Strategy
- Send Time Optimization Matrix
- Content Personalization Levels
- Newsletter Health Metrics
Files
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# Audience Segmentation — Audience Segmentation Methodology
Specialist audience classification knowledge used by the analyst and curator agents when designing content strategy and A/B tests.
## Why Segmentation Matters
Sending the same email to 1,000 subscribers produces content that **satisfies nobody on average**. Segmentation is the art of deciding "who gets what."
## Newsletter Segmentation Model: The BEAR Framework
### B — Behavior (Behavior-Based)
| Behavior Segment | Definition | Strategy |
|-----------------|------------|----------|deliverability-optimization
When your agent uses it
Email deliverability optimization skill used by the Editor-in-Chief and analyst agents. Provides spam filter avoidance, technical authentication, content filtering rules, and list hygiene management methodologies. Use for 'deliverability,' 'spam filters,' 'email authentication,' 'send optimization,' and similar requests.
What it loads into context
Frontmatter
65 tokensAlways available to the agent
SKILL.md
1,046 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Why Deliverability Matters
- Spam Filter Trigger Avoidance Guide
- Email Client Rendering Checks
- Legal Compliance Checklist
- Editor-in-Chief's Pre-Send Checklist
Files
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# Deliverability Optimization — Email Deliverability Optimization Methodology
Technical deliverability expertise used by the editor-in-chief and analyst agents when designing final edits and send strategies.
## Why Deliverability Matters
No matter how perfect your newsletter is, **if it doesn't reach the inbox**, all effort is wasted. On average, 15–20% of emails land in spam folders or promotional tabs.
## Spam Filter Trigger Avoidance Guide
### Subject Line Spam Trigger Words
| Risk Level | Word/Pattern | Alternative |
|-----------|-------------|-------------|email-copywriting
When your agent uses it
Email copywriting skill used by the copywriter agent. Provides subject line psychology, preheader optimization, CTA design, and scannable body structure methodologies specific to the email medium. Use for 'email copy,' 'newsletter writing,' 'subject lines,' 'CTA design,' and similar requests.
What it loads into context
Frontmatter
67 tokensAlways available to the agent
SKILL.md
1,529 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Why Email Copy Is Different
- Subject Line Design: The CURVE Framework
- Preheader (Preview Text) Strategy
- Body Structure: F-Pattern Scan Design
- CTA (Call-to-Action) Design
- Tone & Voice Matrix
- A/B Test Variable Priority
Files
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# Email Copywriting — Email Copywriting Methodology
Writing techniques specific to the email medium, used by the copywriter agent when crafting newsletters.
## Why Email Copy Is Different
Blog posts are found via search. Social media posts are discovered in feeds. Emails must be **opened from the inbox** to be read. The battle is won or lost at the subject line, and within 7 seconds of opening, readers decide whether to scroll or close.
## Subject Line Design: The CURVE Framework
| Element | Description | Example |
|---------|-------------|---------|
| **C**uriosity | Create an information gap | "The email secret most marketers don't know" |
| **U**rgency | Create time pressure | "Only until midnight — sharing this strategy" |newsletter-engine
When your agent uses it
A full production pipeline where an agent team collaborates to generate newsletter content — curation, writing, A/B testing, and send optimization — all at once. Use this skill for requests like 'write a newsletter,' 'newsletter planning,' 'email newsletter,' 'newsletter curation,' 'newsletter A/B test,' 'subscriber email,' 'weekly newsletter,' 'newsletter send optimization,' and other newsletter production tasks. Also supports editing and optimization when existing content is provided. Note: email sending system (Mailchimp, ConvertKit) API integration, subscriber database management, and actual A/B test execution are outside this skill's scope.
What it loads into context
Frontmatter
132 tokensAlways available to the agent
SKILL.md
1,633 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Roster
- Workflow
- Scope-Based Modes
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# Newsletter Engine — Full Newsletter Production Pipeline
An agent team collaborates to produce newsletters through the pipeline of curation → writing → A/B testing → editing → publishing, all at once.
## Execution Mode
**Agent Team** — 5 members communicate directly via SendMessage and cross-validate each other's work.
## Agent Roster
| Agent | File | Role | Type |
|-------|------|------|------|
| curator | `.claude/agents/curator.md` | Source collection, trend analysis, content selection | general-purpose |
| copywriter | `.claude/agents/copywriter.md` | Headlines, body copy, CTA writing | general-purpose |content-atomization
When your agent uses it
Content atomization skill used by the source analyst and presentation builder. Provides methodology for breaking a single piece of content into its smallest units and recombining them for maximum conversion efficiency. Use for 'content decomposition,' 'atomization,' 'key extraction,' 'recombination,' and similar requests.
What it loads into context
Frontmatter
69 tokensAlways available to the agent
SKILL.md
1,249 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Why Atomization?
- Content Atom Classification System
- Source Analysis Process: The MINE Framework
- Presentation Conversion Formula
- Conversion Efficiency Metrics
Files
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# Content Atomization — Content Atomization Methodology
Specialist content decomposition knowledge used by the source-analyst and presentation-builder agents when analyzing sources and developing conversion strategies.
## Why Atomization?
Repurposing is not "rewriting the same thing." It's **breaking the source into atomic units and recombining them for each platform**. A 2,000-word blog post can yield 30+ independent content pieces.
## Content Atom Classification System
| Atom Type | Definition | Extraction Example | Convertible Formats |
|-----------|-----------|-------------------|-------------------|
| **Claim** | A verifiable assertion | "Remote work increases productivity by 13%" | Tweet, card, slide |
| **Data** | Numbers, statistics, ratios | "2024 AI market size: $184B" | Infographic, chart, tweet |content-repurposer
When your agent uses it
A full repurposing pipeline that transforms a single source piece of content into multiple formats — blog, social media, newsletter, presentation, script — all at once. Use this skill for requests like 'repurpose this content,' 'convert this blog to social media,' 'content recycling,' 'multi-format conversion,' 'turn this into a presentation,' 'convert this report to a blog,' 'multi-channel content,' and other content repurposing tasks. Note: actual image/video production, presentation file (.pptx) generation, and automated social media posting are outside this skill's scope.
What it loads into context
Frontmatter
127 tokensAlways available to the agent
SKILL.md
1,579 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Roster
- Workflow
- Scope-Based Modes
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# Content Repurposer — Multi-Format Content Conversion Pipeline
An agent team collaborates to convert a single source piece of content into blog → social media → presentation, all at once.
## Execution Mode
**Agent Team** — 5 members communicate directly via SendMessage and cross-validate each other's work.
## Agent Roster
| Agent | File | Role | Type |
|-------|------|------|------|
| source-analyst | `.claude/agents/source-analyst.md` | Source analysis, conversion strategy | general-purpose |
| blog-writer | `.claude/agents/blog-writer.md` | SEO blog post writing | general-purpose |platform-adaptation
When your agent uses it
Platform adaptation skill used by the social media copywriter and blog writer. Provides content conversion methodologies tailored to each platform's algorithm, format constraints, and user behavior patterns. Use for 'platform optimization,' 'social media conversion,' 'format adaptation,' and similar requests.
What it loads into context
Frontmatter
61 tokensAlways available to the agent
SKILL.md
1,037 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Why Platform Adaptation Matters
- Platform Content DNA
- Source → Platform Conversion Matrix
- Message Consistency Checklist
Files
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# Platform Adaptation — Platform-Specific Content Adaptation Methodology
Specialist platform knowledge used by the sns-copywriter and blog-writer agents when converting content.
## Why Platform Adaptation Matters
Copy-pasting the same message to every platform makes it **optimal for none**. Each platform has its own algorithm, format, and user expectations. Repurposing means completely reshaping the form while preserving the core.
## Platform Content DNA
### X (Twitter)
| Attribute | Value |
|-----------|-------|
| **Core Value** | Speed, opinion, conversation |branching-logic
When your agent uses it
A specialized skill for the branch-architect agent covering branching logic. Provides branching structure patterns, flag system design, ending architecture, and state management methodology. Use for 'branch design,' 'multiple endings,' 'flag systems,' 'branching structures,' and similar topics.
What it loads into context
Frontmatter
62 tokensAlways available to the agent
SKILL.md
1,431 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Why Branching Logic Matters
- 6 Branching Structure Patterns
- Flag System Design
- Ending Architecture
- Branch Testing: Path Simulation
Files
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# Branching Logic — Branching Logic Design Methodology
Specialized knowledge used by the branch-architect agent when designing branching structures, endings, and flag systems.
## Why Branching Logic Matters
Branching is the **key differentiator** that separates game narrative from novels and film. However, the more branches there are, the more production costs increase exponentially. The art lies in making players feel significant variation with fewer branches.
## 6 Branching Structure Patterns
### 1. Bottleneck Structure (Hub-and-Spoke)
```
A
/ \dialogue-systems
When your agent uses it
A specialized skill for the dialogue-writer agent covering game dialogue systems. Provides character voice design, choice psychology, bark systems, cutscene direction, and emotion tag systems. Use for 'game dialogue,' 'NPC conversations,' 'choice design,' 'character voice,' and similar topics.
What it loads into context
Frontmatter
65 tokensAlways available to the agent
SKILL.md
1,336 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Why Game Dialogue Is Different
- Character Voice Design: VOICE Framework
- Choice Design Psychology
- Bark System
- Cutscene Dialogue Direction
- Dialogue Format Standard
Files
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# Dialogue Systems — Game Dialogue System Methodology
Specialized game dialogue knowledge used by the dialogue-writer agent when writing NPC dialogue, choices, and cutscenes.
## Why Game Dialogue Is Different
Novel dialogue is read. Film dialogue is heard. Game dialogue is **chosen by the player**. This interactive element changes everything.
## Character Voice Design: VOICE Framework
| Element | Description | Design Question |
|---------|-------------|-----------------|
| **V**ocabulary | Vocabulary level and range | What words does this character use, and which do they never use? |
| **O**pinion | Attitude toward the world | Optimistic? Cynical? Pragmatic? Idealistic? |game-narrative
When your agent uses it
A full narrative pipeline where an agent team collaborates to design game story, quests, dialogue, and branching scenarios all at once. Use this skill for 'create a game scenario,' 'game story design,' 'quest design,' 'game dialogue writing,' 'branching scenarios,' 'world-building,' 'NPC dialogue,' 'game scenario branching,' 'interactive story,' and all other aspects of game narrative design. Also supports quest/dialogue/branch design when existing world-building or story is provided. Note: game programming, level design (terrain/maps), game balancing (numerical values), and UI/UX design are outside the scope of this skill.
What it loads into context
Frontmatter
139 tokensAlways available to the agent
SKILL.md
1,741 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Modes by Task Scale
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Extended Skills per Agent
Files
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# Game Narrative — Full Game Narrative Design Pipeline
An agent team collaborates to design game world-building, quests, dialogue, and branching all at once.
## Execution Mode
**Agent Team** — 5 members communicate directly via SendMessage and cross-validate each other's work.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| worldbuilder | `.claude/agents/worldbuilder.md` | World-building, factions, character design | general-purpose |
| quest-designer | `.claude/agents/quest-designer.md` | Main/side quest design | general-purpose |quest-design-patterns
When your agent uses it
A specialized skill for the quest-designer agent covering quest design patterns. Provides quest archetypes, reward psychology, difficulty curves, and player motivation frameworks. Use for 'quest design,' 'reward systems,' 'mission structure,' 'quest patterns,' and similar topics.
What it loads into context
Frontmatter
62 tokensAlways available to the agent
SKILL.md
1,590 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Why Patterns Are Needed
- 12 Quest Archetypes
- Quest Structure Design: 3-Layer Architecture
- Reward Psychology: DRIP Model
- Difficulty Curve Design
- Quest Document Template
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# Quest Design Patterns — Quest Design Pattern Methodology
Specialized game design knowledge used by the quest-designer agent when designing main/side quests.
## Why Patterns Are Needed
Quests are the **glue connecting narrative and gameplay**. If the game just repeats "go kill 10 of these," players will disengage. Combining diverse structural patterns is what keeps players saying "just one more quest."
## 12 Quest Archetypes
### Combat/Action Category
| # | Archetype | Core Loop | Narrative Function | Risk Factor |
|---|-----------|-----------|-------------------|-------------|brand-archetype
When your agent uses it
A brand archetype skill used by the brand-strategist and copywriter agents. Provides Jungian 12-archetype-based brand personality design, tone-and-voice mapping, and storytelling frameworks. Used for 'brand personality,' 'archetypes,' 'tone and voice,' 'brand story,' and related topics.
What it loads into context
Frontmatter
74 tokensAlways available to the agent
SKILL.md
1,314 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Why Archetypes
- Full Map of 12 Archetypes
- Archetype Selection Process
- Archetype-to-Tone-and-Voice Conversion
- Brand Story Framework
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# Brand Archetype — Brand Archetype Methodology
Expert knowledge used by brand-strategist and copywriter agents when designing brand personality and voice.
## Why Archetypes
Consumers do not buy products — they buy the **feeling that "this brand represents me."** Archetypes are universal characters imprinted in humanity's collective unconscious over thousands of years. Mapping them onto a brand creates an intuitive connection.
## Full Map of 12 Archetypes
### Four Core Motivation Axes
```
Freedom / Liberationbrand-identity
When your agent uses it
A full branding pipeline where an agent team collaborates to design brand identity all at once, from naming through slogans, tone and manner, and visual guidelines. Use this skill for 'create a brand,' 'brand identity design,' 'brand naming,' 'create a slogan,' 'brand guidelines,' 'logo concept,' 'tone and manner design,' 'brand strategy,' and all other brand identity tasks. Also supports slogan/visual design when an existing brand name is provided. Note: actual logo file production (.ai, .svg), print mock-ups, and trademark filing are outside this skill's scope.
What it loads into context
Frontmatter
128 tokensAlways available to the agent
SKILL.md
1,763 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Roster
- Workflow
- Execution Modes by Scope
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# Brand Identity — Full Brand Identity Design Pipeline
Collaboratively design a brand's strategy, naming, verbal identity, and visual identity through an agent team, all in one pass.
## Execution Mode
**Agent Team** — Five agents communicate directly via SendMessage and cross-validate each other's work.
## Agent Roster
| Agent | File | Role | Type |
|-------|------|------|------|
| brand-strategist | `.claude/agents/brand-strategist.md` | Market analysis, positioning, archetypes | general-purpose |
| naming-specialist | `.claude/agents/naming-specialist.md` | Brand name development, domain/trademark review | general-purpose |color-psychology
When your agent uses it
A color psychology skill used by the visual-director agent. Provides color-emotion mapping, industry-specific color strategies, accessibility-based palette design, and color system construction methodologies. Used for 'color palette,' 'color strategy,' 'color psychology,' 'brand colors,' and related topics.
What it loads into context
Frontmatter
66 tokensAlways available to the agent
SKILL.md
1,104 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Why Color Defines a Brand
- Color-Emotion Response Matrix
- Building a Brand Color Palette
- Color Accessibility Standards
- Color Code Specification Format
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# Color Psychology — Color Psychology Methodology
Expert knowledge used by the visual-director agent when designing brand color systems.
## Why Color Defines a Brand
Color is perceived before the logo. Research shows that **62-90% of consumers form their first impression based on color alone**. Coca-Cola's red, Tiffany's teal, Starbucks' green — color is brand.
## Color-Emotion Response Matrix
### Primary Colors
| Color | Positive Associations | Negative Associations | Industry Fit | Representative Brands |
|-------|---------------------|---------------------|-------------|---------------------|naming-methodology
When your agent uses it
A brand naming methodology skill used by the naming-specialist agent. Provides linguistic analysis, 12 naming techniques, domain/trademark pre-verification, and global suitability evaluation. Used for 'brand naming,' 'name creation,' 'trademark review,' 'domains,' and related topics.
What it loads into context
Frontmatter
65 tokensAlways available to the agent
SKILL.md
1,344 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Why Systematic Naming Matters
- Twelve Naming Techniques
- Naming Evaluation Matrix: The SMILE Test
- Phonological Analysis
- Domain/Trademark Pre-Screening
Files
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# Naming Methodology — Brand Naming Methodology
Expert knowledge used by the naming-specialist agent when developing brand names.
## Why Systematic Naming Matters
Great names **don't come by accident**. "Nike" is the goddess of victory; "Google" is a play on googol (10 to the 100th power). Behind every successful brand name lies deliberate strategic thinking.
## Twelve Naming Techniques
### 1. Descriptive
- **Method**: Directly describes the product/service
- **Strength**: Immediately understood
- **Weakness**: Hard to differentiate, difficult to trademarkcharacter-design-system
When your agent uses it
A character design system skill used by the storyboarder and image-generator agents. Provides character sheet design, silhouette testing, expression charts, and AI image generation consistency methodologies. Used for 'character design,' 'character sheet,' 'visual consistency,' 'character setup,' and related topics.
What it loads into context
Frontmatter
64 tokensAlways available to the agent
SKILL.md
1,106 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Why a System Is Needed
- Character Sheet Design
- Silhouette Test
- Expression Chart (Expression Sheet)
- AI Image Generation Consistency Strategy
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# Character Design System — Character Design Methodology
Expert knowledge used by the storyboarder and image-generator agents when designing characters and generating consistent images.
## Why a System Is Needed
The biggest challenge in AI image generation is **character consistency**. If the face changes from panel to panel, the comic falls apart. A systematic character sheet and prompt strategy are the keys to consistency.
## Character Sheet Design
### Required Components
```
Character Sheetcomic-creator
When your agent uses it
A full production pipeline where an agent team collaborates to create comics — from storyboarding through dialogue, image generation, and editing — covering 4-panel strips, short-form, and long-form (including webtoon). Use this skill for 'create a comic,' 'draw a 4-panel strip,' 'webtoon production,' 'comic storyboard,' 'comic strip,' 'comic scenario,' 'illustrated comic,' 'comic storyboard,' and all other comic creation tasks. Also supports image generation or editing specification when an existing scenario is provided. Note: actual image editing software (Photoshop, Clip Studio) operation, print production, and webtoon platform uploads are outside this skill's scope.
What it loads into context
Frontmatter
146 tokensAlways available to the agent
SKILL.md
1,625 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Roster
- Workflow
- Execution Modes by Scope
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# Comic Creator — Full Comic Production Pipeline
Produce comics from storyboard through dialogue, image generation, and editing via an agent team, all in one pass. Supports 4-panel strips, short-form, and long-form (chapter-based) formats.
## Execution Mode
**Agent Team** — Five agents communicate directly via SendMessage and cross-validate each other's work.
## Agent Roster
| Agent | File | Role | Type |
|-------|------|------|------|
| storyboarder | `.claude/agents/storyboarder.md` | Synopsis, storyboard, panel layout design | general-purpose |
| dialogue-writer | `.claude/agents/dialogue-writer.md` | Character dialogue, sound effects, narration | general-purpose |panel-composition
When your agent uses it
A panel composition skill used by the storyboarder and image-generator agents. Provides comic panel layout patterns, camera angles, gaze flow design, and page rhythm methodologies. Used for 'panel layout,' 'composition,' 'storyboard design,' 'gaze flow,' and related topics.
What it loads into context
Frontmatter
64 tokensAlways available to the agent
SKILL.md
1,186 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Why Composition Defines Comics
- Basic Panel Layout Patterns
- Camera Angle Emotional Effects
- Panel Size and Time Relationship
- Gaze Flow (Reading Flow)
- Page Rhythm Design: Musical Patterns
- Image Generation Prompt Structure
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# Panel Composition — Panel Composition Methodology
Expert knowledge used by the storyboarder and image-generator agents when designing comic panels and generating images.
## Why Composition Defines Comics
Comics are a **medium that converts time into space**. Unlike film where time flows automatically, comics rely on the reader's gaze movement to create time. Panel size, shape, and arrangement are the tools for directing time and emotion.
## Basic Panel Layout Patterns
### 4-Panel Comic Layouts
| Pattern | Structure | Best For |
|---------|-----------|----------|visual-narrative
When your agent uses it
A visual narrative skill used by the dialogue-writer and comic-editor agents. Provides speech bubble systems, sound effect typography, Show-Don't-Tell principles, and visual metaphor techniques. Used for 'speech bubbles,' 'sound effects,' 'visual storytelling,' 'comic direction,' and related topics.
What it loads into context
Frontmatter
68 tokensAlways available to the agent
SKILL.md
1,198 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Why Visual Narrative Matters
- Speech Bubble System
- Sound Effect Typography
- Show-Don't-Tell Principle
- Page Transition Techniques
- Text-Image Density Balance
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# Visual Narrative — Visual Narrative Methodology
Expert knowledge used by the dialogue-writer and comic-editor agents when integrating dialogue and visual elements.
## Why Visual Narrative Matters
In comics, dialogue accounts for only about **30%** of the storytelling. The remaining 70% is conveyed through art, composition, expressions, sound effects, and white space. The less dialogue, the stronger the comic.
## Speech Bubble System
### Speech Bubble Types
| Type | Shape | Use | Prompt Instruction |
|------|-------|-----|-------------------|assessment-engineering
When your agent uses it
An assessment engineering skill used by the quiz-maker agent. Provides item type design guides, distractor psychology, rubric construction, and formative/summative assessment strategies. Used for 'quiz design,' 'assessment items,' 'rubrics,' 'exam creation,' and related topics.
What it loads into context
Frontmatter
63 tokensAlways available to the agent
SKILL.md
1,219 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Why Assessment Engineering
- Item Type Design Guide
- Formative vs. Summative Assessment
- Rubric Construction
- Feedback Design
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# Assessment Engineering — Assessment Engineering Methodology
Expert knowledge used by the quiz-maker agent when designing formative and summative assessments.
## Why Assessment Engineering
Good assessment **accurately measures** learner understanding while simultaneously **reinforcing learning**. Poor assessment rewards memorization; good assessment rewards understanding.
## Item Type Design Guide
### 1. Multiple Choice
| Element | Rule |
|---------|------|course-builder
When your agent uses it
A full production pipeline where an agent team collaborates to design online courses all at once — curriculum, lesson plans, quizzes, and hands-on labs. Use this skill for 'create an online course,' 'design a curriculum,' 'write lesson plans,' 'course design,' 'syllabus,' 'learning course development,' 'curriculum development,' 'course design,' 'create lab assignments,' and all other course development tasks. Also supports lesson plan writing or quiz creation when an existing curriculum is provided. Note: actual LMS construction, video recording/editing, student management, and certificate issuance are outside this skill's scope.
What it loads into context
Frontmatter
132 tokensAlways available to the agent
SKILL.md
1,597 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Roster
- Workflow
- Execution Modes by Scope
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# Course Builder — Online Course Full Production Pipeline
Collaboratively produce an online course's curriculum, lesson plans, quizzes, and hands-on labs through an agent team, all in one pass.
## Execution Mode
**Agent Team** — Five agents communicate directly via SendMessage and cross-validate each other's work.
## Agent Roster
| Agent | File | Role | Type |
|-------|------|------|------|
| curriculum-designer | `.claude/agents/curriculum-designer.md` | Learning objectives, curriculum structure | general-purpose |
| content-writer | `.claude/agents/content-writer.md` | Lesson plans, slides, instructor notes | general-purpose |lab-scaffolding
When your agent uses it
A lab scaffolding skill used by the lab-designer agent. Provides lab difficulty calibration, starter code design, capstone project structures, and self-directed learning strategies. Used for 'lab design,' 'project assignments,' 'scaffolding,' 'hands-on labs,' and related topics.
What it loads into context
Frontmatter
67 tokensAlways available to the agent
SKILL.md
1,228 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Why Scaffolding
- Five-Level Lab Pyramid
- Starter Code Design
- Capstone Project Design
- Difficulty Calibration Techniques
- Recommended Lab Environments
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# Lab Scaffolding — Lab Scaffolding Methodology
Expert knowledge used by the lab-designer agent when designing hands-on assignments and projects.
## Why Scaffolding
If you tell learners "build a program" without support, 90% will give up. **Scaffolding** is the strategy of gradually providing support for what learners cannot do alone, then reducing support as their ability grows.
## Five-Level Lab Pyramid
```
/\
/ 5 \ <- Capstone Project (open-ended)
/-----\learning-design
When your agent uses it
A learning design skill used by the curriculum-designer and content-writer agents. Provides core instructional design theories and applications including Bloom's Taxonomy, Gagne's Nine Events of Instruction, Backward Design, and Cognitive Load Theory. Used for 'learning objectives,' 'instructional design,' 'curriculum,' 'learning theory,' and related topics.
What it loads into context
Frontmatter
77 tokensAlways available to the agent
SKILL.md
1,343 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Why Learning Design Theory Matters
- Bloom's Taxonomy — Practical Application
- Backward Design (Understanding by Design)
- Gagne's Nine Events of Instruction
- Cognitive Load Theory
- Learning Path Design Patterns
- Learning Objective Writing Formula: ABCD
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# Learning Design — Learning Design Methodology
Expert knowledge used by the curriculum-designer and content-writer agents when designing curricula and lesson plans.
## Why Learning Design Theory Matters
"I'll teach you this" and "I'll design this so you can learn it" are fundamentally different. Learning design is a **systematic educational structuring technique grounded in cognitive science**.
## Bloom's Taxonomy — Practical Application
### Six Cognitive Levels
| Level | Verbs | Learning Objective Example | Assessment Method |
|-------|-------|--------------------------|-------------------|documentary-research
When your agent uses it
A full production pipeline where an agent team collaborates to generate documentary research, treatments, interview questions, and narration scripts all at once. Use this skill for 'plan a documentary,' 'create a documentary treatment,' 'documentary research,' 'create interview questions,' 'write a narration script,' 'investigative reporting plan,' 'documentary scenario,' and all other aspects of documentary production. Also supports treatment writing or narration scripting when existing research materials are provided. Note: actual video filming/editing (Premiere, DaVinci), interview scheduling/conducting, and broadcast transmission are outside the scope of this skill.
What it loads into context
Frontmatter
133 tokensAlways available to the agent
SKILL.md
1,724 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Modes by Task Scale
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Extended Skills per Agent
Files
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# Documentary Research — Documentary Production Full Pipeline
An agent team collaborates to generate documentary research, treatments, interview questions, and narration scripts all at once.
## Execution Mode
**Agent Team** — 5 members communicate directly via SendMessage and cross-validate each other's work.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| researcher | `.claude/agents/researcher.md` | Research, statistics collection, source organization | general-purpose |
| story-architect | `.claude/agents/story-architect.md` | 3-act treatment, scene division, narrative arc | general-purpose |interview-design
When your agent uses it
A specialized skill for the interviewer agent covering documentary interview design. Provides interviewee selection, question sequence design, emotional elicitation techniques, and ethical interview principles. Use for 'interview questions,' 'interview subjects,' 'testimony collection,' 'interview design,' and similar topics.
What it loads into context
Frontmatter
65 tokensAlways available to the agent
SKILL.md
1,267 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Why Interview Design Matters
- Interviewee Selection: VOICE Matrix
- Question Sequence Design: Funnel Model
- Interview Type Strategies
- Interview Guide Document Format
- Documentary Interview Ethics Principles
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# Interview Design — Documentary Interview Design Methodology
Specialized knowledge used by the interviewer agent when selecting interview subjects and designing questions.
## Why Interview Design Matters
In documentaries, interviews are the **core device that breathes life into facts through human voices**. Statistics are understood with the mind, but one word from a firsthand witness strikes the heart.
## Interviewee Selection: VOICE Matrix
| Role | Why Needed | How to Find | Count |
|------|-----------|-------------|-------|
| **V**ictim/Protagonist | Direct party to the subject, emotional core | Communities, support organizations | 1-3 |
| **O**bserver | Objective perspective, eyewitness | Neighbors, colleagues, bystanders | 1-2 |investigative-research
When your agent uses it
A specialized skill for the researcher and fact-checker agents covering investigative research. Provides primary/secondary source collection, source reliability assessment, data triangulation, and bias analysis methodologies. Use for 'research,' 'fact-checking,' 'source verification,' 'investigative techniques,' and similar topics.
What it loads into context
Frontmatter
68 tokensAlways available to the agent
SKILL.md
1,158 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Why Systematic Research Is Needed
- Source Collection Hierarchy: PRIMA Framework
- Source Reliability Assessment: CRAAP Test
- Data Triangulation
- Bias Analysis Checklist
- Research Documentation Standard
- Sensitive Topic Research Guide
Files
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# Investigative Research — Investigative Research Methodology
Specialized knowledge used by the researcher and fact-checker agents when investigating and verifying materials for documentaries.
## Why Systematic Research Is Needed
A documentary's credibility depends on the **depth and accuracy of its research**. A single incorrect statistic can undermine the entire program's trust. There is a fundamental difference between "casually searching and using" versus "verifying at investigative journalism standards."
## Source Collection Hierarchy: PRIMA Framework
| Tier | Description | Reliability | Example |
|------|-------------|-------------|---------|
| **P**rimary | Primary sources — original data, direct interviews | Highest | Census raw data, firsthand testimony |
| **R**efereed | Peer-reviewed academic sources | High | Academic papers, meta-analyses |narrative-structure
When your agent uses it
A specialized skill for the story-architect and narrator agents covering documentary narrative structure. Provides 3-act structure, emotion curves, scene arrangement, and narrative patterns by documentary type. Use for 'treatment,' 'narrative structure,' '3-act,' 'emotion curve,' and similar topics.
What it loads into context
Frontmatter
68 tokensAlways available to the agent
SKILL.md
1,317 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Why Documentaries Need Narrative
- 5 Documentary Narrative Types
- Detailed 3-Act Structure Design
- Scene Arrangement Strategy
- Narration Writing Rules
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# Narrative Structure — Documentary Narrative Structure Methodology
Specialized narrative knowledge used by the story-architect and narrator agents when designing treatments and narration.
## Why Documentaries Need Narrative
Listing facts makes a report. Layering facts with **narrative structure** makes a documentary. What keeps the audience watching to the end is not information, but the curiosity of "what happens next?"
## 5 Documentary Narrative Types
### 1. Investigative
```
Mystery/Question -> Clue gathering -> Obstacle -> Breakthrough -> Truth discovery
```hashtag-science
When your agent uses it
A specialized skill for the hashtag-analyst agent covering hashtag science. Provides hashtag pyramid strategy, competition analysis, trend prediction, and platform-specific optimal hashtag strategies. Use for 'hashtags,' 'keyword strategy,' 'trend analysis,' 'hashtag research,' and similar topics.
What it loads into context
Frontmatter
63 tokensAlways available to the agent
SKILL.md
1,153 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Why Hashtag "Science"
- Hashtag Pyramid Strategy
- Platform-Specific Hashtag Strategies
- Hashtag Research Process
- Banned Hashtag Management
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# Hashtag Science — Hashtag Science Methodology
Specialized knowledge used by the hashtag-analyst agent when designing hashtag strategies.
## Why Hashtag "Science"
Hashtags are not applied by intuition. They involve calculating **discoverability, competition level, and targeting accuracy** to design optimal combinations.
## Hashtag Pyramid Strategy
```
/\
/ 1 \ <- Large (1M+ posts)
/------\ 2-3: Discovered with luckplatform-algorithms
When your agent uses it
A specialized skill for the sns-strategist and visual-planner agents covering platform algorithms. Provides how recommendation algorithms work and reach optimization strategies for Instagram, TikTok, LinkedIn, and X. Use for 'algorithm,' 'reach rate,' 'exposure optimization,' 'feed algorithm,' and similar topics.
What it loads into context
Frontmatter
71 tokensAlways available to the agent
SKILL.md
1,164 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Why Understanding Algorithms Matters
- Instagram Algorithm (2025 Baseline)
- TikTok Algorithm
- LinkedIn Algorithm
- X (Twitter) Algorithm
- Cross-Platform Strategy
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# Platform Algorithms — Platform Algorithm Methodology
Specialized algorithm knowledge used by the sns-strategist and visual-planner agents when designing content strategy and visuals.
## Why Understanding Algorithms Matters
Even great content can be **shown to only 10% of followers** by the algorithm. The algorithm is not the enemy — it is a **tool to be leveraged**.
## Instagram Algorithm (2025 Baseline)
### Feed Ranking Signals
| Signal | Weight | Description |
|--------|--------|-------------|social-media-manager
When your agent uses it
A full production pipeline where an agent team collaborates to generate SNS content strategy, post copy, visual plans, and hashtag strategies all at once. Use this skill for 'create SNS content,' 'write Instagram posts,' 'social media strategy,' 'SNS content calendar,' 'hashtag strategy,' 'Instagram copy,' 'TikTok content,' 'LinkedIn posts,' 'SNS marketing,' and all other aspects of social media content management. Also supports post writing or hashtag analysis when existing brand guides are provided. Note: actual SNS account operations (posting, replies, DMs), ad execution, analytics API integration, and influencer outreach are outside the scope of this skill.
What it loads into context
Frontmatter
141 tokensAlways available to the agent
SKILL.md
1,710 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Modes by Task Scale
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Extended Skills per Agent
Files
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# Social Media Manager — SNS Content Full Production Pipeline
An agent team collaborates to generate SNS content strategy, posts, visuals, and hashtags all at once.
## Execution Mode
**Agent Team** — 5 members communicate directly via SendMessage and cross-validate each other's work.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| sns-strategist | `.claude/agents/sns-strategist.md` | Channel analysis, content calendar, campaign design | general-purpose |
| copywriter | `.claude/agents/copywriter.md` | Post copy, captions, CTAs | general-purpose |viral-copywriting
When your agent uses it
A specialized skill for the copywriter agent covering viral copywriting. Provides scroll-stopping hook patterns, platform-specific copy structures, emotion triggers, and CTA psychology. Use for 'viral copy,' 'hook writing,' 'caption writing,' 'SNS copy,' and similar topics.
What it loads into context
Frontmatter
63 tokensAlways available to the agent
SKILL.md
1,274 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Why Viral Copy Is Different
- 15 Scroll-Stop Hook Patterns
- Platform-Specific Copy Structure
- Emotion Trigger Matrix
- CTA Design
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# Viral Copywriting — Viral Copywriting Methodology
Specialized viral copy knowledge used by the copywriter agent when writing SNS posts.
## Why Viral Copy Is Different
SNS copy must **stop the scroll within 0.5 seconds**. Unlike blogs or emails where you retain someone who has started reading, here you must stop someone who is passing by.
## 15 Scroll-Stop Hook Patterns
### Shock/Provocation Category
| # | Pattern | Template | Example |
|---|---------|----------|---------|ip-landscape-analysis
When your agent uses it
IP landscape analysis guide. Referenced by the patent-mapper and protection-advisor agents when analyzing technology-specific patent landscapes and developing strategies. Use for 'IP landscape', 'patent map', or 'technology trends' requests. Patent filing services and patent search database access are out of scope.
What it loads into context
Frontmatter
68 tokensAlways available to the agent
SKILL.md
1,212 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- IP Landscape Analysis Process
- Patent Map Types
- White Space Analysis
- FTO (Freedom to Operate) Analysis
- IP Strategy Framework
- Renewal Management
- Quality Checklist
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# IP Landscape Analysis — IP Landscape Analysis
Enhances the IP strategy analysis capabilities of the patent-mapper and protection-advisor agents.
## IP Landscape Analysis Process
### 5-Step Analysis Procedure
```
Step 1: Define Technology Scope
- Technology keywords + IPC/CPC codes
- Search query design
Step 2: Data Collectionip-portfolio
When your agent uses it
Full IP management pipeline for intellectual property portfolio management where an agent team collaborates to generate IP status analysis, patent/trademark/copyright mapping, renewal schedules, license strategies, and protection strategy reports. Use this skill for requests such as 'manage IP portfolio', 'patent portfolio analysis', 'trademark management', 'develop IP strategy', 'patent renewal schedule', 'license strategy', 'IP protection strategy', 'intellectual property status analysis', 'create a patent map', 'trade secret management', and other intellectual property management tasks. Also supports analysis of specific IP types (patents/trademarks/copyrights) or updating existing portfolios. However, actual patent application drafting (use patent-drafter skill), patent office electronic filing, legal opinion writing, and litigation representation are outside the scope of this skill.
What it loads into context
Frontmatter
172 tokensAlways available to the agent
SKILL.md
1,698 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Roster
- Workflow
- Execution Modes by Scope
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
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# IP Portfolio — Intellectual Property Portfolio Management Full Pipeline
An agent team collaborates to generate IP status analysis, asset mapping, renewal schedules, license strategies, and protection strategy reports.
## Execution Mode
**Agent Team** — 5 members communicate directly via SendMessage and cross-validate each other's work.
## Agent Roster
| Agent | File | Role | Type |
|-------|------|------|------|
| ip-analyst | `.claude/agents/ip-analyst.md` | IP status assessment, value evaluation, portfolio mapping | general-purpose |
| patent-mapper | `.claude/agents/patent-mapper.md` | Patent/trademark/copyright classification, rights scope mapping | general-purpose |patent-valuation
When your agent uses it
Patent valuation framework. Referenced by the ip-analyst and license-strategist agents when calculating the economic value of IP assets. Use for 'patent value', 'IP valuation', or 'royalty calculation' requests. Legal patent infringement assessment and litigation representation are out of scope.
What it loads into context
Frontmatter
67 tokensAlways available to the agent
SKILL.md
1,040 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Valuation Methodologies
- Industry Royalty Benchmarks
- 25% Rule (Rule of Thumb)
- Patent Strength Assessment
- License Structure Design
- Quality Checklist
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# Patent Valuation — Patent Value Assessment
Enhances the IP valuation capabilities of the ip-analyst and license-strategist agents.
## Valuation Methodologies
### Three Approaches
| Approach | Method | Best Suited For |
|----------|--------|----------------|
| Cost Approach | Cost of development/acquisition | Early-stage, no alternative technology |
| Market Approach | Comparable IP transaction data | Comparable transactions exist |
| Income Approach | Present value of future income | Clear monetization pathway |
book-metadata-seo
When your agent uses it
A specialized skill for the metadata-manager agent covering e-book metadata SEO. Provides BISAC/KDC classification, keyword optimization, bookstore-specific description strategies, pricing psychology, and platform-specific distribution settings. Use for 'metadata,' 'book classification,' 'keywords,' 'e-book distribution,' and similar topics.
What it loads into context
Frontmatter
70 tokensAlways available to the agent
SKILL.md
1,440 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Why Metadata SEO
- Book Classification Systems
- Keyword Optimization Strategy
- Book Description Strategy
- Pricing Strategy
- Distribution Platform Checklists
- ISBN Management
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# Book Metadata SEO — E-Book Metadata SEO Methodology
Specialized knowledge used by the metadata-manager agent when configuring metadata and distribution settings.
## Why Metadata SEO
Over **70% of how readers discover books** in online bookstores is through search and recommendation algorithms. Metadata is the only means of telling the algorithm "who this book is for."
## Book Classification Systems
### BISAC (Book Industry Standards and Communications)
US/international standard. Domestic bookstores like Kyobo and Aladin also reference it.
book-publishing
When your agent uses it
A full production pipeline where an agent team collaborates to perform e-book manuscript editing, proofreading, cover design, metadata setup, and distribution preparation all at once. Use this skill for 'publish my e-book,' 'edit my manuscript,' 'create a book cover,' 'e-book metadata,' 'book proofreading,' 'self-publishing preparation,' 'e-book distribution,' 'manuscript review,' 'ebook production,' and all other aspects of e-book publishing. Also supports cover creation or metadata setup when an existing manuscript is provided. Note: actual EPUB/PDF file conversion, bookstore account registration, print ordering, and marketing execution are outside the scope of this skill.
What it loads into context
Frontmatter
142 tokensAlways available to the agent
SKILL.md
1,735 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Modes by Task Scale
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Extended Skills per Agent
Files
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# Book Publishing — E-Book Publishing Full Production Pipeline
An agent team collaborates to perform e-book manuscript editing, proofreading, cover design, metadata, and distribution setup all at once.
## Execution Mode
**Agent Team** — 5 members communicate directly via SendMessage and cross-validate each other's work.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| manuscript-editor | `.claude/agents/manuscript-editor.md` | Structural editing, style correction, ToC | general-purpose |
| proofreader | `.claude/agents/proofreader.md` | Spelling, grammar, notation standardization | general-purpose |cover-design-psychology
When your agent uses it
A specialized skill for the cover-designer agent covering cover design psychology. Provides genre-specific cover conventions, typography strategy, color psychology, thumbnail testing, and AI image generation prompt design. Use for 'cover design,' 'book cover,' 'genre covers,' 'cover concept,' and similar topics.
What it loads into context
Frontmatter
69 tokensAlways available to the agent
SKILL.md
1,214 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Why Cover Psychology
- Genre-Specific Cover Conventions
- Typography Strategy
- Cover Layout Patterns
- AI Image Generation Cover Prompts
- Cover A/B Testing
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# Cover Design Psychology — Cover Design Psychology Methodology
Specialized knowledge used by the cover-designer agent when designing covers and generating images.
## Why Cover Psychology
**67% of readers pick up a book based on its cover**. In online bookstores, covers are displayed at thumbnail size, so they must stand out even when small. The cover is "the message read before the first sentence."
## Genre-Specific Cover Conventions
### Business/Self-Help
| Element | Convention | Reason |
|---------|-----------|--------|developmental-editing
When your agent uses it
A specialized skill for the manuscript-editor agent covering developmental editing. Provides manuscript structure analysis, narrative arc diagnostics, character arc design, pacing adjustment, and genre-specific editing standards. Use for 'manuscript editing,' 'structural editing,' 'narrative analysis,' 'manuscript feedback,' and similar topics.
What it loads into context
Frontmatter
72 tokensAlways available to the agent
SKILL.md
1,353 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Why Developmental Editing
- Manuscript Structure Diagnostics: SPINE Check
- Genre-Specific Editing Standards
- Pacing Analysis Tools
- Editing Feedback Writing
- Editor's 20 Key Questions
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# Developmental Editing — Developmental Editing Methodology
Specialized editing knowledge used by the manuscript-editor agent when structurally editing manuscripts.
## Why Developmental Editing
Proofreading (spelling/grammar) is only 10% of editing. **Developmental editing** diagnoses and improves the manuscript's structure, narrative, characters, and pacing — the core work that determines a book's quality.
## Manuscript Structure Diagnostics: SPINE Check
| Element | Check Item | Diagnostic Question |
|---------|-----------|-------------------|
| **S**tructure | Overall structure | Does the table of contents create a logical flow? Does each chapter contribute to the whole? |
| **P**acing | Pacing | Are there sagging sections? Is the climax timing appropriate? |ad-copywriting-formulas
When your agent uses it
ad Copy Writing when Verification Formula(AIDA, PAS, BAB, 4Ps, SLAP, FAB)and Per-channel Character limit , Psychology Trigger Pattern Copy Extended Skill. 'Copy Formula', 'line Formula', ' Framework', 'AIDA application', 'PAS Copy', 'CTA Pattern' etc. Copy Writingof Structure . , Copy Writing Campaign total Planning of .
What it loads into context
Frontmatter
85 tokensAlways available to the agent
SKILL.md
1,287 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- subject Agent
- 7vs Formula
- Psychology Trigger Pattern
- Per-channel Character limit Reference
- CTA Pattern Library
- of st
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# Ad Copywriting Formulas — Advertising Copy Persuasion Formula Library
Proven persuasion formulas, psychological triggers, and per-channel constraint references used by the copywriter agent when writing copy.
## subject Agent
`copywriter` — of Formulaand Pattern Copy Writingin apply.
## 7vs Formula
### 1. AIDA (Attention → Interest → Desire → Action)
ad Copy Structure.
| | | technique | when ( ) |advertising-campaign
When your agent uses it
ad Campaignof TargetAnalysis, Copy, Creative Design, an agent team collaborates to in Campaign line. 'ad Campaign Planning', 'ad Copy ', ' ', 'banner ad ', ' ad Planning', 'search ad ', 'Target Analysis', 'ad Creative', 'SNS ad Strategy' etc. ad Campaign production beforein . Copy Creative casein Review . , ad Platform(Google Ads, Meta Business Suite) API , whenbetween and vswhen , ad production(/illustration) of .
What it loads into context
Frontmatter
107 tokensAlways available to the agent
SKILL.md
1,493 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Modes by Task Scale
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Extended Skills per Agent
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# Advertising Campaign — Advertising Campaign Full Production Pipeline
An agent team collaborates to generate advertising campaign target analysis, copy, creative, and media plans all at once.
## Execution Mode
**Agent Team** — 5 members communicate directly via SendMessage and cross-validate each other's work.
## Agent Composition
| Agent | File | Role | Type |
|---------|------|------|------|
| market-analyst | `.claude/agents/market-analyst.md` | Target Segmentation, Competitive Analysis, Insight Extraction | general-purpose |
| copywriter | `.claude/agents/copywriter.md` | line, Copy, CTA Writing | general-purpose |media-mix-calculator
When your agent uses it
Media mix Design when GRP/CPM/CPC/CPA/ROAS etc. core Metrics Calculation Formula, Budget allocation Model, Per-channel Benchmark Extended Skill. ' Metrics Calculation', 'CPM Calculation', 'ROAS Analysis', 'Budget allocation', ' comparison', 'Per-channel Benchmark' etc. of Analysis . , ad Platform whenbetween Optimization of .
What it loads into context
Frontmatter
83 tokensAlways available to the agent
SKILL.md
1,414 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- subject Agent
- core Metrics Calculation Formula
- Budget allocation Model
- Per-channel Benchmark ( market )
- Budget when Formula
- lean allocation Pattern
- channel when matrix
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# Media Mix Calculator — Media Metrics Calculation & Budget Allocation Models
Core metric calculation formulas, budget allocation frameworks, and per-channel benchmark data used by the media-planner agent when establishing media plans.
## subject Agent
`media-planner` — of Formulaand Benchmark in apply.
## core Metrics Calculation Formula
### & Metrics
| Metrics | Formula | description |
|------|------|------|data-visualization-guide
When your agent uses it
Visualization Chart Selection Guide, Information Hierarchy Design , number-Chart matrix info-architect Extended Skill. 'Chart Selection', ' Visualization', ' ', 'Information Design', 'Chart ', ' Storytelling' etc. Visualto expression . , Chart BI of .
What it loads into context
Frontmatter
62 tokensAlways available to the agent
SKILL.md
995 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- subject Agent
- Chart Selection matrix
- Chartper Design
- Color
- Information Hierarchy Design (LATCH)
- Storytelling Structure
- number
- Visualization Pattern (when )
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# Data Visualization Guide — Data Visualization Chart Selection & Information Design Guide
Chart selection matrix, information hierarchy principles, and visualization best practices used by the info-architect agent when designing data visualizations.
## subject Agent
`info-architect` — of Chart Selection toand Information Design Visualizationin apply.
## Chart Selection matrix
### per Chart type
| | Chart | | |
|------|----------|-----------|----------|presentation-designer
When your agent uses it
of Planning, Storyboard, Slide Deck, Speaker notes an agent team collaborates to in production to line. ' ', 'Presentation Planning', 'PPT composition', 'Slide Deck ', 'Presentation and', ' ', ' Deck', ' Slide', 'Presentation vs ', ' Presentation ' etc. production beforein . casein Presentation Coaching . , PowerPoint/Keynote File , Slide to, Presentation of .
What it loads into context
Frontmatter
90 tokensAlways available to the agent
SKILL.md
1,394 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Modes by Task Scale
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Extended Skills per Agent
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# Presentation Designer — Presentation Full Production Pipeline
An agent team collaborates to produce presentation planning, storyboards, slides, and speaker notes all at once.
## Execution Mode
**Agent Team** — 5 members communicate directly via SendMessage and cross-validate each other's work.
## Agent Composition
| Agent | File | Role | Type |
|---------|------|------|------|
| storyteller | `.claude/agents/storyteller.md` | Message Structure, Logic Flow Design | general-purpose |
| info-architect | `.claude/agents/info-architect.md` | Visualization, Information Hierarchy Design | general-purpose |slide-layout-patterns
When your agent uses it
Slide Layout Pattern Library. ///comparison/line etc. 20 Slide typeper optimal Layout, margins/grid , Color/ system visual-designer Extended Skill. 'Slide Layout', 'Slide Pattern', 'design system', 'grid', 'Typography', 'Color ' etc. Slide Visual Design when . , PPT/Keynote File of .
What it loads into context
Frontmatter
77 tokensAlways available to the agent
SKILL.md
1,120 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- subject Agent
- grid system
- 20 Slide Layout Pattern
- system
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# Slide Layout Patterns — Slide Layout Pattern Library
Layout patterns, grid systems, and design token references used by the visual-designer agent when producing slide decks.
## subject Agent
`visual-designer` — of Layout Patternand Slide Designin apply.
## grid system
### grid (16:9 = 1920x1080px )
- ****: 80px
- ****: 12 ( 127px, 20px)
- ****: 6 ( 153px, 20px)cultural-adaptation-guide
When your agent uses it
Localization when Cultural adaptation Guide. major marketper(, during, , ) , Color/number/gesture taboo, Date/Currency/Units of measurement conversion, Idioms substitution Strategy localizer Extended Skill. 'Cultural adaptation', 'Localization Guide', 'taboo expression', 'Date Format', ' ', 'Idioms Translation' etc. context conversion . , Translation Quality score calculation of .
What it loads into context
Frontmatter
88 tokensAlways available to the agent
SKILL.md
1,363 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- subject Agent
- marketper Format conversion matrix
- per Strategy
- Color/number/Image taboo
- Idioms/metaphors substitution Strategy
- Text /
- RTL (Right-to-Left) language st
- Do Not Translate (DNT)
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# Cultural Adaptation Guide — Cultural Adaptation & Localization Reference
Market-specific cultural dimensions, format conversions, and taboo references used by the localizer agent when applying localization.
## subject Agent
`localizer` — of Cultural adaptation Localization in apply.
## marketper Format conversion matrix
### Date/whenbetween
| market | Date Format | whenbetween | when | when |
|------|----------|------|--------|------|
| | YYYY MM DD / YYYY.MM.DD | 24whenbetween (before/after ) | | 2025 3 15 |translation-localization
When your agent uses it
Translation, Localization, Cultural adaptation, Terminology Management an agent team collaborates to Translation line. ' Translation', 'to Translation', ' Localization', 'Translation ', 'Glossary ', ' ', ' Localization', ' Translation', ' Translation', ' Translation' etc. Translation·Localization beforein . Translation casein quality verification Localization application . , whenbetween , CAT (Trados/MemoQ) , DTP(Desktop Publishing) of .
What it loads into context
Frontmatter
96 tokensAlways available to the agent
SKILL.md
1,422 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Modes by Task Scale
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Extended Skills per Agent
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# Translation & Localization — Translation & Localization Full Pipeline
An agent team collaborates to perform multilingual translation, localization, cultural adaptation, and terminology management all at once.
## Execution Mode
**Agent Team** — 5 members communicate directly via SendMessage and cross-validate each other's work.
## Agent Composition
| Agent | File | Role | Type |
|---------|------|------|------|
| translator | `.claude/agents/translator.md` | Source text Analysis, 1 Translation | general-purpose |
| localizer | `.claude/agents/localizer.md` | Cultural adaptation, Format Localization | general-purpose |translation-quality-mqm
When your agent uses it
MQM(Multidimensional Quality Metrics) Translation Quality Framework, error classification , severity weight, score calculation Formula quality-reviewer Extended Skill. 'MQM ', 'Translation Quality ', 'error classification', 'Translation QA', 'Quality ric' etc. Translation Qualityof Verification . , Translation Localization application of .
What it loads into context
Frontmatter
71 tokensAlways available to the agent
SKILL.md
1,277 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- subject Agent
- MQM error classification
- severity etc.
- score calculation Formula
- Quality
- per during Verification
- languageper major
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# Translation Quality MQM — Translation Quality Assessment Framework
MQM error classification, severity system, and score calculation formulas used by the quality-reviewer agent when verifying translation quality.
## subject Agent
`quality-reviewer` — of MQM Framework Translation Quality in apply.
## MQM error classification
### 1: vs (7 )
| | | description | weight |
|------|------|------|--------|image-prompt-engineering
When your agent uses it
AI Image (Gemini/DALL-E/Midjourney) Prompt Writing Guide. compositionper Prompt , Style before, Consistency technique, Prompt Pattern image-prompter Extended Skill. 'Image Prompt', 'AI Image Style', 'Prompt Writing', 'composition ', 'Style Consistency', ' Prompt' etc. AI Image Prompt Optimization when . , Image candidates of .
What it loads into context
Frontmatter
85 tokensAlways available to the agent
SKILL.md
1,382 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- subject Agent
- Prompt Structure Formula
- Style Consistency technique
- Prompt Pattern
- Emotionper Prompt
- Scene typeper Prompt
- Image ratio Guide
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# Image Prompt Engineering — AI Image Prompt Writing Guide
Prompt structure, style keywords, and consistency technique references used by the image-prompter agent when generating AI images.
## subject Agent
`image-prompter` — of Prompt Patternand Image in apply.
## Prompt Structure Formula
### 5-Layer Prompt Structure
```
[1. media/Style] + [2. composition/] + [3. ] + [4. /background] + [5. /]
```narrative-structure-patterns
When your agent uses it
Visual Storytellingof Narrative Structure Pattern Library. 3/5/hero's journey Structure, Emotion Curve Design, Scene before technique, Text-Image Balance Formula story-architect Extended Skill. 'Narrative Structure', 'Story arc', 'Emotion Curve', 'Scene before', ' Structure', 'Visual rhythm' etc. Story Design when . , Text writing Image of .
What it loads into context
Frontmatter
85 tokensAlways available to the agent
SKILL.md
1,197 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- subject Agent
- Narrative Structure Pattern
- Emotion Curve Design
- Visual rhythm (Image-Text placement)
- Scene before technique
- Scene Guide
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# Narrative Structure Patterns — Narrative Structure Pattern Library
Narrative structures, emotion curves, and visual rhythm patterns used by the story-architect agent when designing visual stories.
## subject Agent
`story-architect` — of Structure Patternand Emotion Curve Story lean Designin apply.
## Narrative Structure Pattern
### 1. 3 Structure (Classic Three-Act)
Visual inof Structure.
| | ratio | Role | Visual in application |visual-storytelling
When your agent uses it
Visual Storytellingof Story Design, Text writing, AI Image (Gemini), HTML Layout, Integration Editing an agent team collaborates to production to line. 'Visual Story ', 'in Planning', 'Image+ combination', 'Visual in', 'Story page production', ' Story', 'Visual Planning', 'Image in', ' Story', 'Visual Narrative' etc. Imageand Text Storytelling productionin . Text Image casein Layout Integration . , video Editing, DTP, (JS ) of .
What it loads into context
Frontmatter
109 tokensAlways available to the agent
SKILL.md
1,468 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Modes by Task Scale
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Extended Skills per Agent
Files
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# Visual Storytelling — Visual Storytelling Full Production Pipeline
An agent team collaborates to produce visual story design, text writing, AI image generation, HTML layout, and integrated editing.
## Execution Mode
**Agent Team** — 5 members communicate directly via SendMessage and cross-validate each other's work.
## Agent Composition
| Agent | File | Role | Type |
|---------|------|------|------|
| story-architect | `.claude/agents/story-architect.md` | Narrative Structure, Scene Design | general-purpose |
| essay-writer | `.claude/agents/essay-writer.md` | Body text, Caption, Quote writing | general-purpose |api-security-checklist
When your agent uses it
Web app API security checklist. Provides OWASP Top 10-based vulnerability checks, authentication/authorization patterns, input validation, Rate Limiting, CORS, CSRF, and SQL Injection defense as a backend-dev extension skill. Use for requests like 'API security', 'OWASP', 'auth implementation', 'SQL Injection', 'XSS defense', 'CORS configuration', 'security checklist', and other backend security design tasks. However, penetration testing or WAF configuration is outside this skill's scope.
What it loads into context
Frontmatter
111 tokensAlways available to the agent
SKILL.md
1,561 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agent
- OWASP API Security Top 10 Check
- Authentication Patterns
- Authorization Patterns
- Input Validation Checklist
- HTTP Security Headers
- CORS Configuration Guide
- Rate Limiting Strategy
- Error Response Security
- Sensitive Data Handling
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# API Security Checklist — Web App API Security Checklist
An OWASP-based security checklist, authentication patterns, and defense code guide that the backend-dev agent uses during API development.
## Target Agent
`backend-dev` — Applies this skill's security checklist directly to API implementation.
## OWASP API Security Top 10 Check
| Rank | Vulnerability | Check Item | Defense |
|------|-------------|-----------|---------|
| A1 | **BOLA** (Broken Object Level Authorization) | Can another user's resources be accessed? | Verify object ownership at every endpoint |
| A2 | **Broken Authentication** | Weak passwords, unlimited login attempts? | bcrypt hashing, Rate Limit, MFA |component-patterns
When your agent uses it
React/Next.js component design pattern library. Provides Compound/Render Props/HOC/Custom Hooks patterns, state management strategies (Zustand/React Query/Context), and folder structure conventions as a frontend-dev extension skill. Use for requests like 'component patterns', 'React patterns', 'state management', 'folder structure', 'Custom Hook', 'component separation', and other frontend architecture design tasks. However, actual code implementation or backend logic is outside this skill's scope.
What it loads into context
Frontmatter
104 tokensAlways available to the agent
SKILL.md
1,479 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agent
- Component Design Patterns
- State Management Strategy Selection Guide
- Next.js App Router Folder Structure
- Component File Conventions
- Performance Optimization Patterns
- Error Handling Patterns
- Accessibility (a11y) Checklist
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# Component Patterns — React/Next.js Component Design Patterns
A reference for component patterns, state management strategies, and project structure that the frontend-dev agent uses during frontend development.
## Target Agent
`frontend-dev` — Applies this skill's patterns directly to component design and state management.
## Component Design Patterns
### 1. Compound Components
A pattern where parent and child share implicit state.
**Suited for**: Tab, Accordion, Dropdown, Select, and other composite UIfullstack-webapp
When your agent uses it
A full development pipeline where an agent team collaborates to develop fullstack web apps through requirements analysis, design, frontend, backend, testing, and deployment. Use this skill for requests like 'build me a web app', 'web service development', 'SaaS development', 'CRUD app', 'build a dashboard', 'admin page', 'signup/login feature', 'REST API development', 'fullstack project', 'Next.js app', and other general web application development. Also supports feature additions and refactoring for existing codebases. However, mobile apps (React Native/Flutter), desktop apps (Electron), game development, and ML/AI model training are outside this skill's scope.
What it loads into context
Frontmatter
148 tokensAlways available to the agent
SKILL.md
1,690 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Scale-Based Modes
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
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# Fullstack Web App — Fullstack Web App Development Pipeline
An agent team collaborates to develop web apps through the pipeline of requirements → design → frontend → backend → testing → deployment.
## Execution Mode
**Agent Team** — 5 agents communicate directly via SendMessage and cross-verify.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| architect | `.claude/agents/architect.md` | Requirements, architecture, DB, API design | general-purpose |
| frontend-dev | `.claude/agents/frontend-dev.md` | React/Next.js frontend implementation | general-purpose |app-store-optimization
When your agent uses it
App Store Optimization (ASO) guide. Provides App Store/Google Play metadata optimization, keyword strategy, screenshot guidelines, review rejection response, and category selection as a store-manager extension skill. Use for requests like 'ASO', 'app store optimization', 'keyword strategy', 'screenshot guide', 'review response', 'app description writing', and other store deployment optimization tasks. However, actual store submission or ad management is outside this skill's scope.
What it loads into context
Frontmatter
101 tokensAlways available to the agent
SKILL.md
1,392 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agent
- Metadata Optimization Matrix
- Keyword Strategy
- Screenshot Guidelines
- Major Review Rejection Reasons & Responses
- App Description Writing Formula
- Category Selection Guide
- Release Notes Writing Guide
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# App Store Optimization — ASO Guide
A reference for metadata optimization, keyword strategy, and review guidelines that the store-manager agent uses during app store deployment.
## Target Agent
`store-manager` — Applies this skill's ASO strategies and guidelines directly to store deployment preparation.
## Metadata Optimization Matrix
### App Store (iOS) vs Google Play
| Field | App Store | Google Play | ASO Impact |
|-------|----------|-------------|-----------|mobile-app-builder
When your agent uses it
Full mobile app development pipeline. An agent team collaborates to perform UI/UX design, native/cross-platform code generation, API integration, and store deployment preparation. Use this skill for requests like 'build me a mobile app', 'app development', 'iOS app', 'Android app', 'Flutter app', 'React Native app', 'app UI design', 'app store deployment', 'app API integration', and other general mobile app development. Also supports API integration and store deployment for existing codebases. However, actual build/compilation (Xcode, Gradle), actual store submission, and CI/CD pipeline setup are outside this skill's scope.
What it loads into context
Frontmatter
141 tokensAlways available to the agent
SKILL.md
1,688 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Scale-Based Modes
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
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# Mobile App Builder — Full Mobile App Development Pipeline
An agent team collaborates to generate mobile app UX design, code, API integration, and store deployment all at once.
## Execution Mode
**Agent Team** — 5 agents communicate directly via SendMessage and cross-verify.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| ux-designer | `.claude/agents/ux-designer.md` | UX/UI design, wireframes, design system | general-purpose |
| app-developer | `.claude/agents/app-developer.md` | Native/cross-platform app code generation | general-purpose |mobile-ux-patterns
When your agent uses it
Mobile UX design pattern library. Provides iOS HIG/Material Design 3 guidelines, navigation patterns, gesture interactions, responsive layouts, and accessibility checklists as a ux-designer extension skill. Use for requests like 'mobile UX', 'iOS guidelines', 'Material Design', 'navigation patterns', 'gestures', 'design tokens', 'mobile accessibility', and other mobile UI/UX design tasks. However, actual design file creation or code implementation is outside this skill's scope.
What it loads into context
Frontmatter
108 tokensAlways available to the agent
SKILL.md
1,404 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agent
- Platform Guideline Core Comparison
- Navigation Patterns
- Screen Type Layouts
- Gesture Interaction Guide
- Design Tokens
- Accessibility Checklist
- Performance UX Patterns
Files
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# Mobile UX Patterns — Mobile UX Design Pattern Library
A reference for platform guidelines, navigation patterns, and design tokens that the ux-designer agent uses during mobile app UX design.
## Target Agent
`ux-designer` — Applies this skill's UX patterns and guidelines directly to app design.
## Platform Guideline Core Comparison
### iOS (Human Interface Guidelines) vs Android (Material Design 3)
| Element | iOS HIG | Material Design 3 |
|---------|---------|-------------------|api-designer
When your agent uses it
Full pipeline for REST/GraphQL API design, documentation, mocking, and testing. An agent team collaborates to perform API architecture design, OpenAPI/GraphQL schema generation, developer documentation writing, and mock server and test design. Use this skill for any API design task including 'design an API', 'REST API', 'GraphQL API', 'API documentation', 'API schema', 'OpenAPI', 'Swagger', 'API testing', 'API mocking', 'endpoint design', etc. Also supports documentation and testing for existing APIs. Note: actual server implementation (Express, FastAPI, etc.), API Gateway deployment, and monitoring dashboard setup are outside the scope of this skill.
What it loads into context
Frontmatter
146 tokensAlways available to the agent
SKILL.md
1,612 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Mode by Task Scale
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# API Designer — API Design, Documentation, Mocking, and Testing Pipeline
An agent team collaborates to generate API design, schema, documentation, and mock/tests in a single pass.
## Execution Mode
**Agent Team** — 5 members communicate directly via SendMessage and cross-validate each other's work.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| api-architect | `.claude/agents/api-architect.md` | Resource modeling, endpoints, versioning | general-purpose |
| schema-validator | `.claude/agents/schema-validator.md` | OpenAPI/GraphQL schema, type validation | general-purpose |api-error-design
When your agent uses it
API error design patterns. An extension skill for doc-writer/mock-tester that provides error code systems, error response structures, client-friendly error messages, error catalog construction, and retry/fallback strategies. Use when designing API error handling systems involving 'API error design', 'error codes', 'error responses', 'error catalogs', 'error messages', 'retry strategies', etc. Note: actual error handling code implementation is outside the scope of this skill.
What it loads into context
Frontmatter
99 tokensAlways available to the agent
SKILL.md
1,540 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- Error Code System Design
- Error Response Structure Standard
- Error Message Writing Principles
- Retry/Fallback Strategy
- Error Test Scenario Matrix
Files
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# API Error Design — API Error Design Patterns
A reference for error systems, message design, and recovery strategies used by the doc-writer and mock-tester agents when designing API error documentation and tests.
## Target Agents
- `doc-writer` — Applied when writing error reference documentation
- `mock-tester` — Applied when designing error scenario tests
## Error Code System Design
### Hierarchical Error Code Structure
```
{DOMAIN}_{CATEGORY}_{DETAIL}rest-api-conventions
When your agent uses it
REST API design conventions reference. An extension skill for api-architect that provides URL naming, HTTP method mapping, status code selection, pagination/filtering/sorting patterns, HATEOAS, and versioning strategies. Use when designing RESTful APIs involving 'REST conventions', 'URL design', 'HTTP status codes', 'pagination', 'API versioning', 'HATEOAS', etc. Note: GraphQL design and actual server implementation are outside the scope of this skill.
What it loads into context
Frontmatter
106 tokensAlways available to the agent
SKILL.md
1,692 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agent
- URL Naming Rules
- HTTP Status Code Selection Guide
- Pagination Patterns
- Filtering/Sorting/Search Patterns
- Error Response Standard Format
- Versioning Strategies
- Response Envelope Pattern
- Idempotency
Files
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# REST API Conventions — RESTful API Design Conventions Reference
A reference of naming rules, status codes, and pagination patterns used by the api-architect agent when designing REST APIs.
## Target Agent
`api-architect` — Directly applies the conventions in this skill to API designs.
## URL Naming Rules
### Basic Principles
| Rule | Correct Example | Incorrect Example |
|------|----------------|-------------------|
| Plural nouns | `/users` | `/user`, `/getUsers` |database-architect
When your agent uses it
Full pipeline for DB design. An agent team collaborates to perform data modeling, migration, indexing, query optimization, and security verification. Use this skill for any database design task including 'design a database', 'database modeling', 'table design', 'ERD', 'migration', 'query optimization', 'index design', 'SQL schema', 'PostgreSQL design', 'MySQL design', etc. Also supports optimization and security auditing for existing schemas. Note: actual DB server installation/operation, cloud infrastructure provisioning, and monitoring dashboard setup are outside the scope of this skill.
What it loads into context
Frontmatter
125 tokensAlways available to the agent
SKILL.md
1,614 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Mode by Task Scale
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# Database Architect — DB Design Full Pipeline
An agent team collaborates to perform data modeling, migration, indexing, query optimization, and security verification in a single pass.
## Execution Mode
**Agent Team** — 5 members communicate directly via SendMessage and cross-validate each other's work.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| data-modeler | `.claude/agents/data-modeler.md` | ERD, normalization, relationship design | general-purpose |
| migration-manager | `.claude/agents/migration-manager.md` | DDL, version control, rollback | general-purpose |normalization-patterns
When your agent uses it
Database normalization/denormalization pattern library. An extension skill for data-modeler that provides 1NF-BCNF criteria, functional dependency analysis, step-by-step normalization procedures, strategic denormalization patterns, and common domain ERD templates. Use when data modeling involves 'normalization', 'denormalization', 'ERD patterns', 'functional dependencies', 'table splitting', 'relationship design', etc. Note: DDL generation and query optimization are outside the scope of this skill.
What it loads into context
Frontmatter
107 tokensAlways available to the agent
SKILL.md
1,655 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agent
- Normalization Stage Identification & Transformation
- Normalization Decision Flowchart
- Strategic Denormalization Patterns
- Common Domain ERD Patterns
- Relationship Patterns
- Common Column Patterns
Files
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# Normalization Patterns — Normalization/Denormalization Pattern Library
Normalization rules, denormalization strategies, and domain-specific ERD patterns used by the data-modeler agent during data modeling.
## Target Agent
`data-modeler` — Directly applies the normalization rules and ERD patterns from this skill to data model designs.
## Normalization Stage Identification & Transformation
### 1NF (First Normal Form)
**Rule**: Every column must contain atomic (indivisible) values.
| Violation Pattern | Problem | Solution |query-optimization-catalog
When your agent uses it
SQL query optimization catalog. An extension skill for performance-analyst that provides index strategies (B-Tree/Hash/GIN/GiST), execution plan analysis, N+1 problem resolution, partitioning strategies, and per-pattern optimization techniques for slow queries. Use when performing DB performance analysis involving 'query optimization', 'index design', 'execution plans', 'N+1 problems', 'partitioning', 'slow queries', etc. Note: data modeling and security configuration are outside the scope of this skill.
What it loads into context
Frontmatter
113 tokensAlways available to the agent
SKILL.md
1,867 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agent
- Index Strategies
- Slow Query Anti-Patterns & Solutions
- EXPLAIN Analysis Guide (PostgreSQL)
- Partitioning Strategy
- Caching Strategy
Files
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# Query Optimization Catalog — SQL Query Optimization Catalog
A reference of index strategies, execution plan analysis, and query anti-pattern resolution used by the performance-analyst agent during performance optimization.
## Target Agent
`performance-analyst` — Directly applies the optimization techniques from this skill to performance analysis and index design.
## Index Strategies
### Index Type Selection Guide
| Index Type | Suitable Queries | DBMS | Characteristics |
|-----------|-----------------|------|-----------------|cicd-pipeline
When your agent uses it
Full pipeline for CI/CD pipeline design, build, monitoring, and optimization. An agent team collaborates to perform stage design, YAML configuration generation, security scan integration, and monitoring/alert design. Use this skill for any CI/CD task including 'create a CI/CD pipeline', 'GitHub Actions', 'GitLab CI', 'Jenkins pipeline', 'deployment automation', 'build pipeline', 'DevOps pipeline', 'auto deploy', 'CI setup', 'CD setup', etc. Also supports optimization and security hardening for existing pipelines. Note: actual infrastructure provisioning (AWS/GCP resource creation), server configuration, and cluster management are outside the scope of this skill.
What it loads into context
Frontmatter
144 tokensAlways available to the agent
SKILL.md
1,641 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Mode by Task Scale
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# CI/CD Pipeline — Pipeline Design, Build, Monitoring, and Optimization
An agent team collaborates to perform CI/CD pipeline design, configuration generation, security integration, and monitoring in a single pass.
## Execution Mode
**Agent Team** — 5 members communicate directly via SendMessage and cross-validate each other's work.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| pipeline-designer | `.claude/agents/pipeline-designer.md` | Stage design, branch strategy, deployment strategy | general-purpose |
| infra-engineer | `.claude/agents/infra-engineer.md` | Runners, containers, secrets, environment configuration | general-purpose |deployment-strategies
When your agent uses it
Deployment strategy catalog. An extension skill for pipeline-designer that provides pros/cons, implementation patterns, rollback procedures, health check design, and DORA metrics for Blue-Green/Canary/Rolling/A-B Test/Shadow deployment strategies. Use when designing deployment pipelines involving 'deployment strategy', 'Blue-Green', 'Canary', 'Rolling', 'rollback', 'zero-downtime deployment', 'DORA metrics', etc. Note: actual infrastructure configuration and monitoring tool setup are outside the scope of this skill.
What it loads into context
Frontmatter
115 tokensAlways available to the agent
SKILL.md
1,912 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agent
- Deployment Strategy Comparison
- Strategy Details
- Health Check Design
- Rollback Procedures
- DORA Metrics
- Branch Strategy and Deployment Mapping
Files
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# Deployment Strategies — Deployment Strategy Catalog
A reference of deployment strategies, rollback procedures, health checks, and DORA metrics used by the pipeline-designer agent when designing deployment pipelines.
## Target Agent
`pipeline-designer` — Directly applies the deployment strategies and rollback patterns from this skill to pipeline design.
## Deployment Strategy Comparison
| Strategy | Downtime | Risk | Infra Cost | Rollback Speed | Best For |
|----------|----------|------|-----------|---------------|----------|
| **Rolling** | None | Medium | Low | Medium | General web services |
| **Blue-Green** | None | Low | 2x | Instant | Mission-critical |pipeline-security-gates
When your agent uses it
CI/CD pipeline security gate design guide. An extension skill for security-scanner that provides scan tool selection for SAST/DAST/SCA/container scanning/secret detection, gate placement strategies, threshold configuration, and vulnerability classification criteria. Use when integrating pipeline security involving 'security gates', 'SAST', 'DAST', 'SCA', 'container scanning', 'secret detection', 'vulnerability thresholds', etc. Note: actual scan execution and vulnerability remediation are outside the scope of this skill.
What it loads into context
Frontmatter
109 tokensAlways available to the agent
SKILL.md
1,568 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agent
- Security Scan Types & Tool Matrix
- Gate Placement Strategy
- Vulnerability Severity Classification
- GitHub Actions Security Gate YAML Patterns
- SBOM (Software Bill of Materials)
Files
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# Pipeline Security Gates — CI/CD Security Gate Design Guide
A reference of scan tool selection, gate placement, and threshold configuration used by the security-scanner agent when designing pipeline security.
## Target Agent
`security-scanner` — Directly applies the security gate patterns and tool selection from this skill to pipeline security design.
## Security Scan Types & Tool Matrix
### Scan Type Overview
| Type | Full Name | Target | Timing | Cost |
|------|-----------|--------|--------|------|code-reviewer
When your agent uses it
Full pipeline for automated code review. An agent team collaborates to systematically review 4 domains: style, security, performance, and architecture. Use this skill for any code review task including 'review this code', 'look at this code', 'code inspection', 'PR review', 'code quality analysis', 'security review', 'performance review', 'architecture review', 'code style check', etc. Also supports requests for specific domains only. Note: actual CI/CD integration, auto-fix, and Git commit/merge operations are outside the scope of this skill.
What it loads into context
Frontmatter
122 tokensAlways available to the agent
SKILL.md
1,575 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Mode by Task Scale
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# Code Reviewer — Automated Code Review Pipeline
An agent team systematically reviews code across style, security, performance, and architecture.
## Execution Mode
**Agent Team** — 5 members communicate directly via SendMessage and cross-validate each other's work.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| style-inspector | `.claude/agents/style-inspector.md` | Conventions, formatting, naming, readability | general-purpose |
| security-analyst | `.claude/agents/security-analyst.md` | Vulnerabilities, injection, authentication, data exposure | general-purpose |refactoring-catalog
When your agent uses it
Code refactoring catalog. An extension skill for architecture-reviewer/performance-analyst that provides Martin Fowler-based refactoring patterns, code smell detection-to-refactoring mapping, SOLID principle violation identification, and complexity measurement criteria. Use when reviewing code structure improvement involving 'refactoring', 'code smells', 'SOLID violations', 'complexity', 'design patterns', 'code quality', etc. Note: direct code modification and security analysis are outside the scope of this skill.
What it loads into context
Frontmatter
105 tokensAlways available to the agent
SKILL.md
1,512 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- Code Smell to Refactoring Mapping
- SOLID Principle Violation Identification
- Complexity Measurement Criteria
- Design Pattern Application Guide
- Refactoring Priority Decision
Files
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# Refactoring Catalog — Code Refactoring Catalog
A reference of code smell-to-refactoring mappings, SOLID violation identification, and complexity metrics used by the architecture-reviewer and performance-analyst agents during code structure analysis.
## Target Agents
- `architecture-reviewer` — Applied when suggesting refactoring based on design patterns and SOLID principles
- `performance-analyst` — Applied when suggesting refactoring related to complexity analysis and performance
## Code Smell to Refactoring Mapping
### Size-Related Smells
| Code Smell | Symptoms | Refactoring Technique |vulnerability-patterns
When your agent uses it
Code vulnerability pattern database. An extension skill for security-analyst that provides language-specific (Python/JS/Java/Go) vulnerable code patterns, CWE classification, safe alternative code, and severity assessment criteria. Use when performing security reviews involving 'vulnerability patterns', 'CWE', 'SQL Injection', 'XSS', 'security vulnerabilities', 'secure coding', 'vulnerable code', etc. Note: penetration testing execution and WAF configuration are outside the scope of this skill.
What it loads into context
Frontmatter
107 tokensAlways available to the agent
SKILL.md
1,501 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agent
- Vulnerability Classification System (CWE Top 25)
- Language-Specific Vulnerable Code Patterns
- Severity Assessment Criteria
Files
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# Vulnerability Patterns — Code Vulnerability Pattern Database
A reference of vulnerable code patterns, CWE classification, and safe alternatives used by the security-analyst agent during security reviews.
## Target Agent
`security-analyst` — Directly applies the vulnerability patterns from this skill to code security analysis.
## Vulnerability Classification System (CWE Top 25)
### Priority Detection Targets
| CWE | Name | Severity | Frequency |
|-----|------|----------|-----------|dependency-analysis
When your agent uses it
Tools and methodologies for analyzing codebase dependency graphs and quantitatively measuring coupling/cohesion. Use this skill for 'dependency analysis', 'coupling measurement', 'circular dependencies', 'module coupling', 'cohesion analysis', 'dependency graph', 'coupling analysis', and other code dependency-related analysis. Enhances the dependency analysis capabilities of legacy-analyzer and refactoring-strategist. Note: full pipeline orchestration is outside the scope of this skill.
What it loads into context
Frontmatter
101 tokensAlways available to the agent
SKILL.md
1,195 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Dependency Metric System
- Language-specific Tools
- Change Impact Analysis (CIA)
- Architecture Fitness Functions
- Report Template
Files
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# Dependency Analysis — Dependency Graph Analysis Tool
Methodologies and tool guide for quantitative measurement and visualization of code dependencies.
## Dependency Metric System
### 1. Coupling Metrics
| Metric | Formula | Interpretation | Risk Threshold |
|--------|---------|----------------|---------------|
| **Ca (Afferent Coupling)** | Number of packages depending on me | High = large change ripple effect | > 20 |
| **Ce (Efferent Coupling)** | Number of packages I depend on | High = unstable | > 20 |
| **I (Instability)** | Ce / (Ca + Ce) | 0=stable, 1=unstable | Warning in middle zone (0.3-0.7) |
| **D (Distance)** | \|A + I - 1\| | Distance from the main sequence | > 0.3 |legacy-modernizer
When your agent uses it
A full pipeline for transforming legacy codebases into modern architectures. An agent team collaborates to perform technical debt analysis, refactoring strategy formulation, code migration, and regression testing. Use this skill for requests like 'modernize legacy code', 'create a refactoring strategy', 'code migration', 'technical debt analysis', 'legacy system upgrade', 'framework migration', 'code modernization', 'refactoring plan', and other legacy code modernization tasks. Also supports strategy formulation and migration when existing analysis reports are available. Note: actual production deployment, CI/CD pipeline execution, and infrastructure provisioning are outside the scope of this skill.
What it loads into context
Frontmatter
132 tokensAlways available to the agent
SKILL.md
1,573 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Modes by Task Scale
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# Legacy Modernizer — Legacy Code Modernization Pipeline
An agent team collaborates to perform analysis -> refactoring strategy -> migration -> verification of legacy code.
## Execution Mode
**Agent Team** — 5 members communicate directly via SendMessage and cross-validate each other.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| legacy-analyzer | `.claude/agents/legacy-analyzer.md` | Tech debt identification, dependency mapping, complexity measurement | general-purpose |
| refactoring-strategist | `.claude/agents/refactoring-strategist.md` | Pattern selection, prioritization, roadmap | general-purpose |strangler-fig-patterns
When your agent uses it
Detailed implementation guide for the Strangler Fig pattern and related migration patterns for incrementally replacing legacy systems. Use this skill for 'strangler fig', 'incremental migration', 'refactoring patterns', 'branch by abstraction', 'parallel run', 'gradual replacement', 'migration pattern selection', and other legacy migration pattern applications. Enhances pattern selection and implementation for refactoring-strategist and migration-engineer. Note: full team orchestration and project management are outside the scope of this skill.
What it loads into context
Frontmatter
111 tokensAlways available to the agent
SKILL.md
1,211 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Pattern Catalog
- Pattern Selection Decision Tree
- Warning Signs and Responses
Files
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# Strangler Fig Patterns — Incremental Migration Pattern Guide
Detailed implementation methodologies for proven patterns for replacing legacy systems.
## Pattern Catalog
### 1. Strangler Fig Pattern
**Applicable Conditions**: When incremental transition from a monolith to a new system is needed
```
+---------------------------------------------+
| Router/Proxy |
| +----------+ +----------------------+ |ddd-context-mapping
When your agent uses it
Detailed methodology for DDD (Domain-Driven Design) bounded context identification, context map creation, and event storming execution. Use this skill for 'bounded context', 'DDD', 'domain modeling', 'event storming', 'context map', 'aggregate design', 'ubiquitous language', and other domain analysis tasks. Enhances the domain analysis capabilities of domain-analyst and service-architect. Note: infrastructure deployment and code implementation are outside the scope of this skill.
What it loads into context
Frontmatter
108 tokensAlways available to the agent
SKILL.md
1,086 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Event Storming Procedure
- Context Map Relationship Types
- Aggregate Design Principles
- Ubiquitous Language Dictionary Template
- Service Decomposition Anti-patterns
Files
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# DDD Context Mapping — Domain-Driven Design Context Mapping Guide
Systematic methodology from bounded context identification to context map creation.
## Event Storming Procedure
### Phase 1: Domain Event Collection
```
Rule: Express in past tense verbs
Examples: "Order was created", "Payment was approved", "Shipping was initiated"
Collection order:
1. List events from core business flows in chronological order
2. Add exception/failure eventsdistributed-patterns
When your agent uses it
Implementation guide and selection matrix for core distributed system patterns (Saga, CQRS, Circuit Breaker, Event Sourcing, etc.). Use this skill for 'distributed transactions', 'Saga pattern', 'CQRS', 'circuit breaker', 'event sourcing', 'distributed patterns', 'compensating transactions', 'eventual consistency', and other distributed system pattern applications. Enhances the distributed system design capabilities of communication-designer and service-architect. Note: infrastructure setup and monitoring configuration are outside the scope of this skill.
What it loads into context
Frontmatter
113 tokensAlways available to the agent
SKILL.md
1,290 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 1. Saga Pattern
- 2. CQRS (Command Query Responsibility Segregation)
- 3. Circuit Breaker
- 4. Event Sourcing
- 5. API Gateway Patterns
- Pattern Combination Recipes
- CAP Theorem Practical Application
Files
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# Distributed Patterns — Core Distributed System Pattern Guide
Detailed pattern implementations for inter-microservice communication, data consistency, and fault tolerance.
## 1. Saga Pattern
### Choreography vs Orchestration Selection
| Criteria | Choreography | Orchestration |
|----------|-------------|---------------|
| Number of services | 2-4 | 5 or more |
| Flow complexity | Linear | Branching/conditional |
| Coupling | Event-driven loose coupling | Centralized in orchestrator |
| Visibility | Difficult to trace flow | Central state management |microservice-designer
When your agent uses it
A full pipeline for designing, decomposing, communicating, and monitoring microservice architectures. An agent team collaborates to perform domain analysis, service design, communication patterns, and observability. Use this skill for requests like 'design a microservice architecture', 'decompose services', 'MSA design', 'domain analysis', 'event-driven architecture', 'inter-service communication design', 'distributed system design', 'API gateway design', and other microservice design tasks. Also supports transitioning from an existing monolith to MSA. Note: actual infrastructure setup, Kubernetes deployment, and code implementation are outside the scope of this skill.
What it loads into context
Frontmatter
134 tokensAlways available to the agent
SKILL.md
1,525 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Modes by Task Scale
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# Microservice Designer — Microservice Architecture Design Pipeline
An agent team collaborates to perform domain analysis -> service design -> communication design -> observability design.
## Execution Mode
**Agent Team** — 5 members communicate directly via SendMessage and cross-validate each other.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| domain-analyst | `.claude/agents/domain-analyst.md` | Bounded contexts, event storming | general-purpose |
| service-architect | `.claude/agents/service-architect.md` | API contracts, data ownership, deployment units | general-purpose |mocking-strategy
When your agent uses it
Test double (Mock, Stub, Spy, Fake) selection and effective mocking strategy guide. Use this skill for 'mocking', 'Mock', 'Stub', 'Spy', 'Fake', 'test doubles', 'dependency isolation', 'external service mocking', 'DB mocking', and other test isolation strategy tasks. Enhances the mocking design capabilities of unit-tester and integration-tester. Note: overall test strategy formulation and CI integration are outside the scope of this skill.
What it loads into context
Frontmatter
103 tokensAlways available to the agent
SKILL.md
1,279 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Test Double Type Comparison
- Selection Decision Tree
- Per-layer Mocking Strategy
- Mocking Anti-patterns and Solutions
- Framework-specific Mocking Tools
- Testcontainers Usage (Fake Alternative)
- Mocking Level Decision Matrix
Files
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# Mocking Strategy — Test Double Selection and Mocking Strategy Guide
Methodologies for effectively isolating dependencies to create reliable tests.
## Test Double Type Comparison
| Type | Purpose | Behavior | Verification Target |
|------|---------|----------|-------------------|
| **Dummy** | Fill parameters | Does nothing | Not used |
| **Stub** | Provide fixed responses | Return predefined values | State (result values) |
| **Spy** | Record calls | Real behavior + recording | Interactions (call count/args) |
| **Mock** | Define expected behavior | Pass if expectations met | Interactions (call order/args) |
| **Fake** | Lightweight implementation | Working simplified implementation | State (integration level) |
test-automation
When your agent uses it
A full test automation pipeline. An agent team collaborates to perform strategy formulation, unit/integration test writing, CI integration, and coverage analysis. Use this skill for requests like 'automate tests', 'write test code', 'create unit tests', 'write integration tests', 'analyze test coverage', 'create a test strategy', 'integrate tests into CI', 'design test pyramid', and other test automation tasks. Also supports coverage analysis and improvements for existing tests. Note: E2E/UI test execution, browser automation execution, and load test execution are outside the scope of this skill.
What it loads into context
Frontmatter
129 tokensAlways available to the agent
SKILL.md
1,570 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Modes by Task Scale
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# Test Automation — Test Automation Pipeline
An agent team collaborates to perform test strategy formulation -> test writing -> CI integration -> coverage analysis.
## Execution Mode
**Agent Team** — 5 members communicate directly via SendMessage and cross-validate each other.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| test-strategist | `.claude/agents/test-strategist.md` | Test pyramid, tools, CI design | general-purpose |
| unit-tester | `.claude/agents/unit-tester.md` | Unit test writing, mocking | general-purpose |test-design-patterns
When your agent uses it
Patterns for effective test design, including boundary value analysis, equivalence partitioning, state transition testing, and other systematic test case derivation methodologies. Use this skill for 'test design', 'test case derivation', 'boundary value analysis', 'equivalence partitioning', 'state transition testing', 'pairwise', 'test matrix', and other test design tasks. Enhances the test design capabilities of test-strategist and unit-tester. Note: test infrastructure setup and CI/CD configuration are outside the scope of this skill.
What it loads into context
Frontmatter
116 tokensAlways available to the agent
SKILL.md
1,354 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Test Case Derivation Techniques
- Test Structure Patterns
- Test Pyramid Ratio Guide
- Risk-based Test Prioritization
Files
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# Test Design Patterns — Systematic Test Design Guide
Methodologies for systematically deriving and effectively structuring test cases.
## Test Case Derivation Techniques
### 1. Equivalence Partitioning
```
Input: Age (integer 1-150)
+-- Valid class: [1, 150] -> representative: 25
+-- Invalid class 1: < 1 -> representative: 0, -1
+-- Invalid class 2: > 150 -> representative: 151, 999
+-- Invalid class 3: non-integer -> representative: 25.5, "abc"incident-postmortem
When your agent uses it
A full pipeline where an agent team collaborates to generate incident postmortem reports. Systematically performs timeline reconstruction, root cause analysis, impact assessment, and remediation planning. Use this skill for requests like 'write an incident postmortem', 'post-incident analysis report', 'create an incident report', 'incident report', 'root cause analysis', 'RCA report', 'organize incident timeline', 'establish remediation measures', and other incident analysis tasks. Note: real-time incident response (on-call), monitoring system setup, and alert configuration are outside the scope of this skill.
What it loads into context
Frontmatter
128 tokensAlways available to the agent
SKILL.md
1,583 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Modes by Task Scale
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# Incident Postmortem — Incident Post-Analysis Pipeline
An agent team collaborates to perform timeline reconstruction -> root cause analysis -> impact assessment -> remediation planning -> report generation.
## Execution Mode
**Agent Team** — 5 members communicate directly via SendMessage and cross-validate each other.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| timeline-reconstructor | `.claude/agents/timeline-reconstructor.md` | Event collection, chronological ordering, gap identification | general-purpose |
| root-cause-investigator | `.claude/agents/root-cause-investigator.md` | 5 Whys, Fishbone, Fault Tree | general-purpose |rca-methodology
When your agent uses it
Detailed guide for Root Cause Analysis (RCA) methodologies. Structured RCA techniques including 5 Whys, Fishbone diagrams, Fault Tree Analysis, change analysis, and a cognitive bias prevention checklist. Use this skill for 'root cause analysis', 'RCA', '5 Whys', 'fishbone', 'Fault Tree', 'cause analysis methodology', 'change analysis', and other incident cause analysis tasks. Enhances the analysis capabilities of root-cause-investigator. Note: timeline reconstruction and remediation planning are outside the scope of this skill.
What it loads into context
Frontmatter
118 tokensAlways available to the agent
SKILL.md
1,221 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 1. 5 Whys Technique
- 2. Fishbone Diagram (Ishikawa)
- 3. Fault Tree Analysis (FTA)
- 4. Change Analysis
- Cognitive Bias Prevention Checklist
- RCA Technique Selection Guide
Files
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# RCA Methodology — Root Cause Analysis Methodology Guide
A collection of structured analysis techniques for systematically tracing incident root causes.
## 1. 5 Whys Technique
### Procedure
```
Problem: Payment service was down for 30 minutes.
Why 1: Why did the payment service go down?
-> The DB connection pool was exhausted.
Why 2: Why was the connection pool exhausted?sla-impact-calculator
When your agent uses it
Calculation models and business impact matrices for quantitatively assessing incident impact based on SLA/SLO. Use this skill for 'SLA impact', 'SLO violation', 'impact assessment', 'revenue loss estimation', 'error budget', 'availability calculation', 'incident cost assessment', and other tasks quantifying the business impact of incidents. Enhances the impact assessment capabilities of impact-assessor. Note: incident cause analysis and remediation planning are outside the scope of this skill.
What it loads into context
Frontmatter
103 tokensAlways available to the agent
SKILL.md
1,481 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- SLA/SLO/SLI Framework
- Allowed Downtime by Availability Level
- Error Budget Consumption Calculation
- Business Impact Matrix
- Financial Impact of SLA Violations
- Composite SLA Calculation
- Report Template
Files
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# SLA Impact Calculator — SLA/SLO-based Impact Assessment Guide
A framework for quantitatively measuring and reporting the business impact of incidents.
## SLA/SLO/SLI Framework
```
SLI (Service Level Indicator): Measurement metric
e.g.: Request success rate = Successful requests / Total requests
SLO (Service Level Objective): Internal target
e.g.: Request success rate >= 99.95% (30-day basis)
SLA (Service Level Agreement): External contractcloud-cost-models
When your agent uses it
AWS/GCP/Azure cost models, sizing guides, Reserved Instance/Savings Plan strategies, and FinOps framework guide. Use this skill for 'cloud costs', 'cost optimization', 'FinOps', 'instance sizing', 'Savings Plan', 'reserved instances', 'Spot instances', 'cost estimation', and other infrastructure cost-related decisions. Enhances the cost analysis capabilities of cost-optimizer. Note: actual resource provisioning and billing configuration are outside the scope of this skill.
What it loads into context
Frontmatter
104 tokensAlways available to the agent
SKILL.md
1,012 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- AWS Core Service Cost Models
- Per-environment Cost Optimization Strategies
- Cost Estimation Template
- FinOps Maturity Model
Files
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# Cloud Cost Models — Cloud Cost Model and FinOps Guide
A practical guide for accurately estimating and optimizing cloud infrastructure costs.
## AWS Core Service Cost Models
### EC2 Purchase Option Comparison (ap-northeast-2 basis)
| Option | Discount | Commitment | Flexibility | Suitable Workload |
|--------|---------|-----------|------------|-------------------|
| On-Demand | 0% | None | Maximum | Variable workloads, testing |
| Savings Plan (Compute) | ~30% | 1 year | Instance changeable | Stable baseline load |
| Savings Plan (EC2) | ~40% | 1 year | Within family | Predictable workloads |
| Reserved Instance | ~40% | 1yr/3yr | Limited | 24/7 servers |infra-as-code
When your agent uses it
A full Infrastructure as Code design and implementation pipeline. An agent team collaborates to perform Terraform/Pulumi-based infrastructure design, security policies, cost optimization, and drift detection. Use this skill for requests like 'design IaC', 'write Terraform code', 'create infrastructure code', 'Pulumi project design', 'cloud infrastructure design', 'infrastructure security design', 'infrastructure cost optimization', 'drift detection setup', and other IaC tasks. Also supports codifying existing infrastructure (import). Note: actual terraform apply execution, cloud console operations, and production deployment are outside the scope of this skill.
What it loads into context
Frontmatter
131 tokensAlways available to the agent
SKILL.md
1,569 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Modes by Task Scale
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# Infra as Code — IaC Design Pipeline
An agent team collaborates to perform Terraform/Pulumi-based infrastructure design -> security -> cost optimization -> drift detection.
## Execution Mode
**Agent Team** — 5 members communicate directly via SendMessage and cross-validate each other.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| infra-architect | `.claude/agents/infra-architect.md` | Architecture, module structure, environment separation | general-purpose |
| security-engineer | `.claude/agents/security-engineer.md` | IAM, networking, encryption, compliance | general-purpose |terraform-module-patterns
When your agent uses it
Detailed guide on Terraform module design patterns, directory structures, state management, and environment separation strategies. Use this skill for 'Terraform modules', 'module structure', 'state management', 'remote state', 'environment separation', 'workspace', 'terragrunt', 'module patterns', and other Terraform module design tasks. Enhances the IaC design capabilities of infra-architect and drift-detector. Note: actual terraform apply and infrastructure provisioning execution are outside the scope of this skill.
What it loads into context
Frontmatter
105 tokensAlways available to the agent
SKILL.md
1,415 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Directory Structure Patterns
- Module Design Principles
- State Management Patterns
- Tagging Strategy
- Anti-patterns and Solutions
Files
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# Terraform Module Patterns — Terraform Module Design Pattern Guide
Patterns and best practices for designing reusable and maintainable Terraform modules.
## Directory Structure Patterns
### Pattern 1: Module Layer Separation
```
infrastructure/
├── modules/ # Reusable modules
│ ├── networking/
│ │ ├── vpc/
│ │ │ ├── main.tfdag-orchestration-patterns
When your agent uses it
Airflow DAG pattern, of , retry strategy, etc. , strategy etc. data pipeline orchestration guide. 'Airflow DAG', 'DAG ', 'of', 'retry strategy', 'etc.', '', 'pipeline orchestration', 'Dagster', 'Prefect' etc. pipeline scheduling this for. scheduler-engineerof DAG -ize. , data rule of monitoring dashboard this of scope .
What it loads into context
Frontmatter
98 tokensAlways available to the agent
SKILL.md
1,323 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- DAG pattern
- etc. pattern
- retry strategy
- strategy
- of pattern
- alert strategy
Files
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# DAG Orchestration Patterns — pipeline orchestration pattern guide
Airflow of DAG patternand operations strategy.
## DAG pattern
### 1. Extract-Load-Transform (ELT) pattern
```python
with DAG("elt_orders", schedule="0 2 * * *", catchup=False) as dag:
extract = PythonOperator(task_id="extract", python_callable=extract_orders)
load_raw = PythonOperator(task_id="load_raw", python_callable=load_to_raw)
transform = DbtOperator(task_id="transform", select="orders")
quality = PythonOperator(task_id="quality_check", python_callable=run_checks)data-pipeline
When your agent uses it
data pipelineof count, transformation, -based, verification, monitoring inthisbefore teamthis to ·lower pipeline. 'data pipeline ', 'ETL pipeline ', 'data count automatic-ize', 'data lower pipeline', 'ELT ', ' pipeline', 'tree pipeline', 'Airflow DAG only', 'dbt model ', 'data verification ' etc. data pipeline · beforein this for. existing pipelineof verificationthis monitoringonly necessary inalso supported. , real-time tree (Flink/Spark Streaming) direct execution, infrastructure provisioning, database administrator(DBA) this of scope .
What it loads into context
Frontmatter
133 tokensAlways available to the agent
SKILL.md
1,685 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- execution
- inthisbefore setup
- workflow
- per
- data before as
- error
- test
- inthisbeforeper extension
Files
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# Data Pipeline — data pipeline ·
data pipelineof count→transformation→-based→verification→monitoring inthisbefore teamthis to in ·.
## execution
**inthisbefore team** — 5peoplethis SendMessageas direct and verification.
## inthisbefore setup
| inthisbefore | day | role | type |
|---------|------|------|------|
| etl-architect | `.claude/agents/etl-architect.md` | analysis, schema, pipeline | general-purpose |
| data-quality-manager | `.claude/agents/data-quality-manager.md` | verificationrule, profiling, or moredetection | general-purpose |data-quality-framework
When your agent uses it
data (accuracy, completeness, timeliness, consistency etc.)per verification rule and Great Expectations, dbt tests etc.of also for guide. 'data ', 'verification rule', 'Great Expectations', 'dbt test', 'data profiling', 'or more detection', 'data ' etc. data this for. data-quality-managerof verification -ize. , pipeline schedulingthis before architecture this of scope .
What it loads into context
Frontmatter
95 tokensAlways available to the agent
SKILL.md
1,282 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- data 6
- verification rule pattern
- Great Expectations
- dbt Tests
- data profiling list
- or more detection
- data (Data Contract)
Files
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# Data Quality Framework — data framework guide
data systematicas of, measurement, monitoringlower framework.
## data 6
| | of | measurement | threshold example |
|------|------|----------|-----------|
| **accuracy** (Accuracy) | | , business rule verification | also > 99.9% |
| **completeness** (Completeness) | required data | NULL ratio, required satisfied | NULL < 1% |
| **timeliness** (Timeliness) | between within also | latencybetween, data also | latency < 30minutes |
| **consistency** (Consistency) | system between day | verification, integrity | day = 0 |
| **day** (Uniqueness) | | /key ratio | = 0% |
| **valid** (Validity) | /scope compliant | , scope | efficiency > 99% |cve-analysis
When your agent uses it
CVE(Common Vulnerabilities and Exposures) analysis methodology, dependency vulnerability also for, CVSS count , vulnerability priority decision guide. 'CVE', 'vulnerability analysis', 'dependency vulnerability', 'CVSS', 'npm audit', 'Snyk', 'Trivy', 'CVE database', 'vulnerability priority' etc. CVE vulnerability analysis this for. vulnerability-scannerof -ize. , actual penetration test executionthis code modification this of scope .
What it loads into context
Frontmatter
109 tokensAlways available to the agent
SKILL.md
1,321 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- CVSS v3.1 count
- dependency also
- vulnerability classification framework
- detection
- report template
Files
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# CVE Analysis — CVE analysis and dependency vulnerability guide
CVE vulnerability efficiency-basedas detection, analysis, priority-izelower methodology.
## CVSS v3.1 count
### Base Score
```
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H → 9.8 (Critical)
AV (Attack Vector): N(Network) > A(Adjacent) > L(Local) > P(Physical)
AC (Attack Complexity): L(Low) > H(High)
PR (Privileges Required): N(None) > L(Low) > H(High)owasp-testing-guide
When your agent uses it
OWASP Top 10 security test methodology, vulnerabilityper attack , detection , modification guide. 'OWASP', 'Top 10', 'XSS', 'SQL Injection', 'CSRF', 'SSRF', 'Injection', 'security test methodology', 'vulnerability test' etc. this security test this for. code-analystand pentest-reporterof security analysis -ize. , actual penetration test executionthis network this of scope .
What it loads into context
Frontmatter
107 tokensAlways available to the agent
SKILL.md
1,453 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- OWASP Top 10 (2021) mapping
- A01: Broken Access Control
- A03: Injection
- A07: Authentication Failures
- A10: SSRF (Server-Side Request Forgery)
- security list
- CVSS severity etc.
Files
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# OWASP Testing Guide — OWASP Top 10 security test guide
OWASP Top 10 (2021) criteria vulnerabilityper detection/test/modification methodology.
## OWASP Top 10 (2021) mapping
| | category | CWE example | severity |
|------|---------|---------|--------|
| A01 | Broken Access Control | CWE-200, CWE-352 | Critical |
| A02 | Cryptographic Failures | CWE-259, CWE-327 | High |
| A03 | Injection | CWE-79, CWE-89 | Critical |
| A04 | Insecure Design | CWE-209, CWE-256 | High |
| A05 | Security Misconfiguration | CWE-16, CWE-611 | Medium~High |
| A06 | Vulnerable Components | CWE-1035 | High |security-audit
When your agent uses it
security auditof vulnerability , code security analysis, penetration test , improvement inthisbefore teamthis to countlower security audit pipeline. 'security audit', 'vulnerability ', 'security ', 'code security analysis', 'penetration test report', 'security vulnerability ', 'OWASP ', 'queue ', 'security improvement ', 'infrastructure security ' etc. security audit beforein this for. code analysisonly necessarylower improvement only necessary inalso supported. , actual network penetration execution, code analysis, SOC operations, real-time security monitoring this of scope .
What it loads into context
Frontmatter
123 tokensAlways available to the agent
SKILL.md
1,571 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- execution
- inthisbefore setup
- workflow
- per
- data before as
- error
- test
- inthisbeforeper extension
Files
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# Security Audit — security audit pipeline
security auditof vulnerability→codeanalysis→penetrationtestreport→improvement inthisbefore teamthis to in count.
## execution
**inthisbefore team** — 5peoplethis SendMessageas direct and verification.
## inthisbefore setup
| inthisbefore | day | role | type |
|---------|------|------|------|
| vulnerability-scanner | `.claude/agents/vulnerability-scanner.md` | CVE, dependency, configurationerror | general-purpose |
| code-analyst | `.claude/agents/code-analyst.md` | SAST, queue, patterndetection | general-purpose |threat-modeling
When your agent uses it
STRIDE, DREAD, Attack Tree etc. threat model methodologyand threat identification·evaluation· strategy count guide. 'STRIDE', 'DREAD', 'threat model', 'threat modeling', 'attack tree', 'attack surface', 'threat identification', 'security ' etc. system threat analysis this for. security-consultantand pentest-reporterof threat analysis -ize. , actual penetration test executionthis CVE this of scope .
What it loads into context
Frontmatter
105 tokensAlways available to the agent
SKILL.md
1,195 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- STRIDE threat classification
- STRIDE -basedfor procedure
- DREAD risk evaluation
- Attack Tree
- attack analysis
- threat model report template
Files
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# Threat Modeling — threat model methodology guide
systemof security threat systematicas identificationand evaluationlower framework.
## STRIDE threat classification
| threat | people | security | pattern |
|------|------|----------|----------|
| **S**poofing | | authentication | MFA, authentication |
| **T**ampering | data | integrity | HMAC, people, |
| **R**epudiation | | | audit log, |
| **I**nformation Disclosure | information | | encryption, |
| **D**enial of Service | service rejection | availability | Rate Limiting, auto-scaling |
| **E**levation of Privilege | permission upper | authorization | RBAC, minimum permission principle |caching-strategy-selector
When your agent uses it
caching strategy(Cache Aside, Write Through, Write Behind etc.) optional and Redis/Memcached for, TTL , cache invalid-ize pattern guide. 'caching strategy', 'Redis', 'cache invalid-ize', 'TTL', 'Cache Aside', 'Write Through', 'CDN caching', 'cache ' etc. caching this for. optimization-engineerof caching -ize. , before performance profilingthis benchmark this of scope .
What it loads into context
Frontmatter
100 tokensAlways available to the agent
SKILL.md
1,241 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- caching strategy
- cache invalid-ize pattern
- cache resolution
- cache layer
- Redis data optional
Files
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# Caching Strategy Selector — caching strategy optional guide
-based caching strategy optionaland and-basedas lower methodology.
## caching strategy
### 1. Cache Aside (Lazy Loading)
```
: App → Cache confirmation → → DB query → Cache →
: App → DB → Cache invalid-ize(deletion)
```
| | |performance-optimizer
When your agent uses it
this performance optimization profiling, bottleneck analysis, optimization , benchmark verificationuntil inthisbefore teamthis to countlower pipeline. 'performance optimization', 'slow API improvement', 'query optimization', 'between ', 'performance profiling', 'bottleneck analysis', 'benchmark test', 'as speed improvement', 'P95 between this', 'throughput ' etc. performance improvement beforein this for. query optimization profilingonly necessary inalso supported. , infrastructure provisioning direct execution, as configuration, CDN setup direct deployment this of scope .
What it loads into context
Frontmatter
116 tokensAlways available to the agent
SKILL.md
1,478 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- execution
- inthisbefore setup
- workflow
- per
- data before as
- error
- test
- inthisbeforeper extension
Files
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# Performance Optimizer — performance optimization pipeline
thisof profiling→bottleneckanalysis→optimization→benchmark inthisbefore teamthis to in count.
## execution
**inthisbefore team** — 5peoplethis SendMessageas direct and verification.
## inthisbefore setup
| inthisbefore | day | role | type |
|---------|------|------|------|
| profiler | `.claude/agents/profiler.md` | CPU, memory, I/O, network profiling | general-purpose |
| bottleneck-analyst | `.claude/agents/bottleneck-analyst.md` | hotspot identification, , impactcalculate | general-purpose |query-optimization-patterns
When your agent uses it
SQL/NoSQL query optimization pattern, execution plan analysis, index strategy, N+1 resolution etc. database performance optimization guide. 'query optimization', 'execution plan', 'EXPLAIN', 'index ', 'N+1 ', 'slow query', 'slow query', 'DB performance' etc. database query performance improvement this for. bottleneck-analystand optimization-engineerof DB performance analysis -ize. , before system profilingthis benchmark execution this of scope .
What it loads into context
Frontmatter
110 tokensAlways available to the agent
SKILL.md
1,336 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- execution plan analysis
- index strategy
- N+1 resolution
- thisthis optimization
- query pattern
- query optimization list
Files
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# Query Optimization Patterns — query optimization pattern guide
database query performance systematicas analysisand optimizationlower methodology.
## execution plan analysis
### PostgreSQL EXPLAIN
```sql
EXPLAIN (ANALYZE, BUFFERS, FORMAT TEXT)
SELECT o.*, c.name
FROM orders o
JOIN customers c ON o.customer_id = c.id
WHERE o.created_at > '2024-01-01'community-health-metrics
When your agent uses it
open source project community casesalso measurement metric, GitHub project configuration , contribution optimization guide. 'community casesalso', 'GitHub configuration', 'this template', 'PR template', 'CONTRIBUTING', 'Code of Conduct', 'contribution ', 'GitHub Actions CI' etc. open source community operations this for. community-managerand doc-writerof community -ize. , license -based analysisthis code refactoring this of scope .
What it loads into context
Frontmatter
105 tokensAlways available to the agent
SKILL.md
1,177 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- casesalso metric
- this template
- PR template
- CI/CD setup
- contribution optimization
- contribution onboarding
Files
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# Community Health Metrics — open source community casesalso guide
open source projectof community cases measurementand improvementlower framework.
## casesalso metric
### CHAOSS model core metric
| category | metric | measurement | cases criteria |
|---------|------|------|----------|
| **** | Commit frequency | weekbetween count | > 5/week |
| **** | this resolution between | this →as value | < 7day |
| **** | PR review between | PR → review value | < 48between |
| **various** | contribution ratio | monthbetween contribution count | > 2people/month |license-compatibility-matrix
When your agent uses it
open source license compatibility , licenseper ofmatter, license strategy, SPDX identification guide. 'license compatibility', 'license optional', 'MIT', 'Apache', 'GPL', 'LGPL', 'BSD', ' license', 'SPDX', 'license ' etc. open source license related this for. license-specialistof license analysis -ize. , -based this actual license day creation this of scope .
What it loads into context
Frontmatter
97 tokensAlways available to the agent
SKILL.md
1,188 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- week license
- compatibility
- license optional ofdecision tree
- dependency license resolution
- SPDX license
- license strategy
- license of list
Files
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# License Compatibility Matrix — open source license compatibility guide
open source license optional, compatibility analysis, dependency license resolution before guide.
## week license
| license | type | upperfor for | modification items | | network |
|---------|------|----------|----------|----------|-------------|
| MIT | | O | X | X | X |
| Apache 2.0 | | O | X | O | X |
| BSD 2-Clause | | O | X | X | X |
| BSD 3-Clause | | O | X | X | X |
| MPL 2.0 | | O | day | O | X |
| LGPL 2.1/3.0 | | O | libraryonly | X | X |open-source-launcher
When your agent uses it
open source project launching code , documentation , license , community until inthisbefore teamthis to countlower launching pipeline. 'open source items ', 'project open source-ize', 'GitHub items ', 'open source license ', 'README ', 'CONTRIBUTING guide only', 'open source community ', ' ', 'CI/CD setup', 'code items before ' etc. open source launching beforein this for. READMEonly necessarylower license only necessary inalso supported. , actual creation, GitHub configuration API , package tree deployment execution this of scope .
What it loads into context
Frontmatter
125 tokensAlways available to the agent
SKILL.md
1,504 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- execution
- inthisbefore setup
- workflow
- per
- data before as
- error
- test
- inthisbeforeper extension
Files
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# Open Source Launcher — open source project launching pipeline
open source projectof code→documentation→license→community inthisbefore teamthis to in .
## execution
**inthisbefore team** — 5peoplethis SendMessageas direct and verification.
## inthisbefore setup
| inthisbefore | day | role | type |
|---------|------|------|------|
| code-organizer | `.claude/agents/code-organizer.md` | , refactoring, code | general-purpose |
| doc-writer | `.claude/agents/doc-writer.md` | README, contributionguide, APIdocumentation | general-purpose |experiment-tracking-setup
When your agent uses it
Guide for experiment tracking tool setup (MLflow, Weights & Biases, etc.), reproducibility assurance, model registry, and experiment comparison methodology. Use this skill for ML experiment management involving 'experiment tracking', 'MLflow', 'W&B', 'Weights and Biases', 'reproducibility', 'model registry', 'experiment comparison', 'hyperparameter logging', etc. Enhances the training-manager's experiment management capabilities. Note: model architecture design and feature engineering are outside this skill's scope.
What it loads into context
Frontmatter
113 tokensAlways available to the agent
SKILL.md
1,535 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- MLflow Setup
- Reproducibility Assurance Checklist
- Model Registry
- Experiment Comparison Framework
- Project Structure Template
Files
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# Experiment Tracking Setup — Experiment Tracking and Reproducibility Guide
A practical guide for ML experiment tracking, reproducibility assurance, and model version management.
## MLflow Setup
### Basic Structure
```python
import mlflow
mlflow.set_tracking_uri("http://localhost:5000")
mlflow.set_experiment("order-prediction")
feature-engineering-cookbook
When your agent uses it
Feature engineering techniques catalog: numeric/categorical/time-series/text transformations, feature selection, feature store design. Use this skill for data preprocessing and feature design involving 'feature engineering', 'variable transformation', 'encoding', 'scaling', 'feature selection', 'feature store', 'feature importance', etc. Enhances the data-engineer's feature engineering capabilities. Note: model design and training management are outside this skill's scope.
What it loads into context
Frontmatter
95 tokensAlways available to the agent
SKILL.md
1,390 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Numeric Transformations
- Categorical Encoding
- Time-Series Features
- Feature Selection Methods
- Missing Value Treatment Decision
- Data Leakage Prevention Checklist
Files
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# Feature Engineering Cookbook — Feature Engineering Techniques Catalog
Transformation techniques by data type, feature selection methods, and feature store design guide.
## Numeric Transformations
### Scaling
| Method | Formula | Suitable | Not Suitable |
|--------|---------|----------|-------------|
| StandardScaler | (x - μ) / σ | Normal distribution, SVM, logistic regression | Sensitive to outliers |
| MinMaxScaler | (x - min) / (max - min) | [0,1] required, neural networks | Sensitive to outliers |
| RobustScaler | (x - Q2) / (Q3 - Q1) | When outliers exist | — |
| PowerTransformer | Box-Cox / Yeo-Johnson | Highly skewed distributions | Negative values (Box-Cox) |ml-experiment
When your agent uses it
A full ML pipeline where an agent team collaborates to perform data preparation, model design, training, evaluation, and deployment readiness. Use this skill for 'design an ML experiment', 'train a model', 'machine learning project', 'build a deep learning model', 'classification model', 'regression model', 'data preprocessing', 'model evaluation', 'hyperparameter tuning', 'MLOps setup', 'XGBoost model', 'PyTorch model', and other ML experiment tasks. Supports data-preprocessing-only or evaluation-only requests as well. Note: model serving infrastructure (SageMaker/Vertex AI) direct deployment, large-scale distributed training cluster management, and real-time inference service operation are outside this skill's scope.
What it loads into context
Frontmatter
155 tokensAlways available to the agent
SKILL.md
1,704 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Scale-Based Modes
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# ML Experiment — Full ML Pipeline
An agent team collaborates to perform the full ML experiment lifecycle: data preparation → model design → training → evaluation → deployment readiness.
## Execution Mode
**Agent Team** — 5 members communicate directly via SendMessage and cross-validate.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| data-engineer | `.claude/agents/data-engineer.md` | Collection, preprocessing, feature engineering | general-purpose |
| model-designer | `.claude/agents/model-designer.md` | Architecture, hyperparameters, loss functions | general-purpose |model-selection-guide
When your agent uses it
ML model selection matrix by problem type, hyperparameter tuning strategies, and ensemble methodology guide. Use this skill for ML model selection and design involving 'model selection', 'algorithm comparison', 'hyperparameter tuning', 'Optuna', 'ensemble', 'XGBoost vs LightGBM', 'model comparison', 'cross-validation', etc. Enhances the model-designer and evaluation-analyst's model design capabilities. Note: data preprocessing and training infrastructure management are outside this skill's scope.
What it loads into context
Frontmatter
107 tokensAlways available to the agent
SKILL.md
1,307 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Model Recommendations by Problem Type
- XGBoost vs LightGBM vs CatBoost
- Hyperparameter Tuning
- Cross-Validation Strategies
- Ensemble Methods
- Model Selection Decision Tree
Files
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# Model Selection Guide — ML Model Selection Matrix Guide
Optimal model selection and tuning strategies based on problem type, data characteristics, and constraints.
## Model Recommendations by Problem Type
### Tabular Data
| Problem Type | Baseline | Best Candidates | Notes |
|-------------|----------|----------------|-------|
| Binary Classification | LogisticRegression | XGBoost, LightGBM | Tree-based usually optimal |
| Multi-class Classification | LogisticRegression(OVR) | LightGBM, CatBoost | CatBoost: many categoricals |
| Regression | LinearRegression | XGBoost, LightGBM | RandomForest: overfitting prevention |
| Ranking | — | LambdaMART (LightGBM) | Search/recommendation |data-analysis
When your agent uses it
A full analysis pipeline where an agent team collaborates to perform exploratory data analysis (EDA), data cleaning, statistical analysis, visualization, and report writing. Use this skill for 'analyze this data', 'do EDA', 'exploratory analysis', 'statistical analysis', 'data visualization', 'write an analysis report', 'analyze CSV', 'extract data insights', 'data cleaning', 'outlier analysis', and other data analysis tasks. Note: real-time data streaming, ML model training/deployment, and BI dashboard server construction are outside this skill's scope.
What it loads into context
Frontmatter
124 tokensAlways available to the agent
SKILL.md
1,699 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Scale-Based Modes
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# Data Analysis — Full Data Analysis Pipeline
An agent team collaborates to perform the full data lifecycle: exploration → cleaning → analysis → visualization → reporting.
## Execution Mode
**Agent Team** — 5 members communicate directly via SendMessage and cross-validate.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| explorer | `.claude/agents/explorer.md` | Exploratory analysis, data profiling | general-purpose |
| cleaner | `.claude/agents/cleaner.md` | Data cleaning, transformation pipeline | general-purpose |statistical-tests-selector
When your agent uses it
Statistical test selection decision tree, per-test assumptions/formulas/interpretation guide, effect size, and power analysis. Use this skill for statistical analysis method selection involving 'statistical test', 't-test', 'ANOVA', 'chi-squared', 'correlation analysis', 'p-value', 'hypothesis testing', 'normality test', 'nonparametric test', 'effect size', etc. Enhances the analyst's statistical analysis capabilities. Note: data cleaning and visualization are outside this skill's scope.
What it loads into context
Frontmatter
113 tokensAlways available to the agent
SKILL.md
1,561 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Test Selection Decision Tree
- Core Test Details
- Multiple Comparison Correction
- Power Analysis
- Correct Interpretation of p-values
- Reporting Template
Files
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# Statistical Tests Selector — Statistical Test Selection Guide
A guide for selecting and interpreting appropriate statistical tests based on data type and analysis purpose.
## Test Selection Decision Tree
```
What are you comparing?
├── Mean difference between two groups
│ ├── Independent samples → Normal? → Yes: Independent t-test
│ │ → No: Mann-Whitney U
│ └── Paired samples → Normal? → Yes: Paired t-test
│ → No: Wilcoxon signed-rank
├── Mean difference among three or more groupsvisualization-chooser
When your agent uses it
Visualization type selection matrix by data type and analysis purpose, matplotlib/seaborn/plotly implementation pattern guide. Use this skill for data visualization design involving 'visualization selection', 'chart type', 'graph types', 'matplotlib', 'seaborn', 'plotly', 'heatmap', 'scatter plot', 'box plot', 'dashboard layout', etc. Enhances the visualizer's visualization design capabilities. Note: statistical analysis and data cleaning are outside this skill's scope.
What it loads into context
Frontmatter
107 tokensAlways available to the agent
SKILL.md
1,249 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Visualization Selection Matrix
- Implementation Code Patterns
- Visualization Anti-patterns
- Interactive Visualization (Plotly)
- Executive Report Visualization Principles
Files
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# Visualization Chooser — Visualization Type Selection Matrix Guide
A framework for selecting optimal visualizations based on data type and communication purpose.
## Visualization Selection Matrix
### Comparison
| Purpose | Chart | Suitable | Example |
|---------|-------|----------|---------|
| Item comparison | Bar chart | 5-15 categories | Sales by product |
| Time trend comparison | Line chart | Continuous time, 2-5 series | Monthly sales trend |
| Part-to-whole | Stacked bar | Ratio comparison | Sales by channel share |
| Few ratios | Pie chart | 2-5 items only | Market share |nlp-preprocessing-toolkit
When your agent uses it
Text preprocessing technique catalog: tokenization, normalization, stopwords, morphological analysis, embedding selection, and language-specific processing guides. Use this skill for requests involving 'text preprocessing', 'tokenization', 'morphological analysis', 'KoNLPy', 'stopwords', 'normalization', 'TF-IDF', 'embeddings', 'Word2Vec', 'NLP preprocessing', etc. Enhances the text processing capabilities of the preprocessor and extractor agents. Note: sentiment analysis models and classification algorithm selection are outside the scope of this skill.
What it loads into context
Frontmatter
123 tokensAlways available to the agent
SKILL.md
1,442 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Preprocessing Pipeline
- Language-Specific Processing (Korean)
- Text Vectorization
- Text Quality Metrics
- Preprocessing Decision Checklist
Files
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# NLP Preprocessing Toolkit — Text Preprocessing Tools Guide
A catalog of preprocessing techniques for transforming text data into analysis-ready formats.
## Preprocessing Pipeline
```
Raw Text
├── 1. Encoding normalization (UTF-8)
├── 2. HTML/special character removal
├── 3. Unicode normalization (NFKC)
├── 4. Lowercasing (for alphabetic scripts)
├── 5. Tokenization
├── 6. Stopword removalsentiment-lexicon-builder
When your agent uses it
Sentiment lexicon construction, ABSA (Aspect-Based Sentiment Analysis) design, sentiment score calibration, and domain-specific sentiment analysis methodology guide. Use this skill for requests involving 'sentiment lexicon', 'sentiment analysis model', 'ABSA', 'aspect-based sentiment', 'sentiment score', 'polarity lexicon', 'domain sentiment', 'emotion classification', etc. Enhances the sentiment analysis capabilities of the sentiment-analyzer agent. Note: text preprocessing and report writing are outside the scope of this skill.
What it loads into context
Frontmatter
116 tokensAlways available to the agent
SKILL.md
1,766 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Sentiment Analysis Approach Comparison
- Sentiment Lexicon Construction
- ABSA (Aspect-Based Sentiment Analysis)
- Sentiment Score Calibration
- Sentiment Analysis Evaluation Metrics
- Report Structure
Files
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# Sentiment Lexicon Builder — Sentiment Lexicon and ABSA Design Guide
Methodology for designing and building domain-specific sentiment analysis systems.
## Sentiment Analysis Approach Comparison
| Approach | Advantages | Disadvantages | Best For |
|----------|-----------|---------------|----------|
| Lexicon-based | Fast, interpretable | Domain limitations, ignores context | Small-scale, rapid prototyping |
| ML-based (traditional) | Domain adaptation | Requires training data | When labeled data is available |
| Deep learning (BERT) | Context understanding, high accuracy | Resource-intensive | Large-scale, accuracy-focused |
| LLM (prompt-based) | Zero-shot, flexible | Cost, speed | Diverse domains, small volumes |
## Sentiment Lexicon Constructiontext-processor
When your agent uses it
Text processing pipeline: an agent team collaborates to perform preprocessing, classification, entity/keyword extraction, sentiment analysis, summarization, structured data conversion, and report generation on bulk text. Use this skill for requests like 'analyze this text', 'text processing', 'classify documents', 'run sentiment analysis', 'extract keywords', 'named entity recognition', 'NER', 'text summarization', 'review analysis', 'survey text analysis', 'comment analysis', and other general text NLP tasks. Note: speech recognition (STT), machine translation, chatbot dialogue management, and LLM fine-tuning are outside the scope of this skill.
What it loads into context
Frontmatter
138 tokensAlways available to the agent
SKILL.md
1,659 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Execution Modes by Request Scope
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# Text Processor — Full Text Processing Pipeline
An agent team collaborates to perform bulk text preprocessing, classification, extraction, sentiment analysis, structuring, and report generation.
## Execution Mode
**Agent Team** — Five agents communicate directly via SendMessage and perform cross-validation.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| preprocessor | `.claude/agents/preprocessor.md` | Text preprocessing, noise removal | general-purpose |
| classifier | `.claude/agents/classifier.md` | Topic/intent classification, tagging | general-purpose |data-migration
When your agent uses it
Full migration pipeline where an agent team collaborates to perform source analysis, schema mapping, transformation script generation, validation query design, and rollback planning. Use this skill for requests like 'data migration', 'DB migration', 'data transfer', 'schema conversion', 'database migration plan', 'ETL scripts', 'data transition', 'DB migration validation', 'system cutover', etc. Note: real-time CDC streaming setup, cloud infrastructure provisioning, and application code migration are outside the scope of this skill.
What it loads into context
Frontmatter
110 tokensAlways available to the agent
SKILL.md
1,589 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Execution Modes by Request Scope
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# Data Migration — Full Migration Pipeline
An agent team collaborates to perform source analysis, schema mapping, transformation script generation, validation queries, and rollback planning.
## Execution Mode
**Agent Team** — Five agents communicate directly via SendMessage and perform cross-validation.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| source-analyst | `.claude/agents/source-analyst.md` | Source analysis, data profiling | general-purpose |
| schema-mapper | `.claude/agents/schema-mapper.md` | Schema mapping, transformation rule design | general-purpose |data-validation-patterns
When your agent uses it
Migration data validation patterns: row count comparison, checksums, sampling validation, FK integrity, and business rule validation query design guide. Use this skill for requests involving 'data validation', 'migration validation', 'checksum', 'row count comparison', 'integrity validation', 'regression testing', 'Go/No-Go checklist', etc. Enhances validation-engineer's validation design capabilities. Note: schema mapping and rollback planning are outside the scope of this skill.
What it loads into context
Frontmatter
101 tokensAlways available to the agent
SKILL.md
1,623 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Validation Layer Model
- Level 1: Count Validation
- Level 2: Schema Validation
- Level 3: Data Value Validation
- Level 4: Cross-Reference Validation
- Level 5: Business Rule Validation
- Go/No-Go Checklist
- Validation Automation Framework
Files
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# Data Validation Patterns — Migration Validation Patterns Guide
A systematic collection of patterns and queries for verifying data integrity before and after migration.
## Validation Layer Model
```
Level 5: Business Rule Validation <- Domain-specific rules
Level 4: Cross-Reference Validation <- Inter-table relationships
Level 3: Data Value Validation <- Transformation accuracy
Level 2: Schema Validation <- Structural match
Level 1: Count Validation <- Row/column count match
```
type-mapping-encyclopedia
When your agent uses it
RDBMS-to-RDBMS data type mapping tables, RDBMS-to-NoSQL conversion patterns, character set/collation conversion, and special type handling guide. Use this skill for requests involving 'type mapping', 'data type conversion', 'MySQL PostgreSQL conversion', 'Oracle migration', 'character set conversion', 'collation', 'AUTO_INCREMENT sequence', 'JSON type', etc. Enhances schema-mapper's type conversion capabilities. Note: ETL script writing and validation queries are outside the scope of this skill.
What it loads into context
Frontmatter
120 tokensAlways available to the agent
SKILL.md
1,609 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- MySQL to PostgreSQL Mapping
- Oracle to PostgreSQL Mapping
- RDBMS to MongoDB Conversion Patterns
- Character Set / Collation Conversion
- Irreversible Conversion Inventory
- Type Mapping Verification Queries
Files
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# Type Mapping Encyclopedia — Data Type Mapping Reference
A comprehensive reference for RDBMS-to-RDBMS data type mapping, special type conversions, and character set handling.
## MySQL to PostgreSQL Mapping
| MySQL | PostgreSQL | Notes |
|-------|-----------|-------|
| TINYINT | SMALLINT | TINYINT UNSIGNED -> SMALLINT |
| INT | INTEGER | |
| INT UNSIGNED | BIGINT | PostgreSQL has no UNSIGNED |
| BIGINT | BIGINT | |
| FLOAT | REAL | |
| DOUBLE | DOUBLE PRECISION | |api-client-generator
When your agent uses it
Full pipeline for auto-generating API client SDKs. An agent team collaborates to parse API specs (OpenAPI/GraphQL/gRPC), generate types, write client code, create tests, and produce usage documentation. Use this skill for requests like 'create an API client', 'SDK generation', 'client from OpenAPI', 'API wrapper', 'REST client', 'GraphQL client', 'API type generation', 'SDK from Swagger', etc. Note: API server implementation, API gateway configuration, and API monitoring dashboard setup are outside the scope of this skill.
What it loads into context
Frontmatter
123 tokensAlways available to the agent
SKILL.md
1,469 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Execution Modes by Request Scope
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# API Client Generator — SDK Generation Full Pipeline
An agent team collaborates to generate API spec parsing, type generation, client code, tests, and documentation.
## Execution Mode
**Agent Team** — Five agents communicate directly via SendMessage and perform cross-validation.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| spec-parser | `.claude/agents/spec-parser.md` | API spec analysis, endpoint extraction | general-purpose |
| type-generator | `.claude/agents/type-generator.md` | Type definition generation | general-purpose |openapi-spec-patterns
When your agent uses it
OpenAPI 3.x spec analysis patterns, schema normalization, authentication method mapping, pagination/error pattern extraction, and GraphQL/gRPC spec interpretation guide. Use this skill for requests involving 'OpenAPI', 'Swagger', 'spec analysis', 'schema normalization', 'API authentication', 'pagination patterns', 'GraphQL schema', 'gRPC proto', etc. Enhances spec-parser's spec analysis capabilities. Note: SDK code generation and test authoring are outside the scope of this skill.
What it loads into context
Frontmatter
108 tokensAlways available to the agent
SKILL.md
1,633 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- OpenAPI 3.x Analysis Procedure
- Schema Normalization
- GraphQL Schema Analysis
- gRPC Proto Analysis
Files
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# OpenAPI Spec Patterns — API Spec Analysis Patterns Guide
Methodology for effectively analyzing OpenAPI/GraphQL/gRPC specs and extracting the metadata needed for SDK generation.
## OpenAPI 3.x Analysis Procedure
### 1. Endpoint Grouping
```yaml
# Tag-based grouping -> SDK class mapping
paths:
/users:
get:
tags: [Users] # -> UsersClient.list()sdk-design-patterns
When your agent uses it
SDK/API client design patterns: builder pattern, interceptor chain, retry strategy, type-safe design, error handling, and pagination wrapper guide. Use this skill for requests involving 'SDK design', 'client patterns', 'retry strategy', 'interceptor', 'builder pattern', 'SDK error handling', 'type safety', 'SDK architecture', etc. Enhances sdk-developer's SDK design capabilities. Note: API spec parsing, test authoring, and documentation are outside the scope of this skill.
What it loads into context
Frontmatter
108 tokensAlways available to the agent
SKILL.md
1,657 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- SDK Architecture
- Builder Pattern (Client Initialization)
- Interceptor / Middleware Chain
- Retry Strategy
- Type-Safe Design
- Pagination Wrapper
- Error Handling
- SDK Quality Checklist
Files
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# SDK Design Patterns — SDK Design Patterns Guide
A pattern catalog for designing type-safe, developer-friendly API client SDKs.
## SDK Architecture
```
+------------------------------------------+
| SDK Public API |
| client.users.list() |
| client.orders.create({...}) |
+------------------------------------------+
| Resource Clients |
| UsersClient, OrdersClient, ... |design-system
When your agent uses it
Full pipeline for systematically building a UI design system. An agent team collaborates to create design tokens, React/Vue component libraries, Storybook, WCAG accessibility verification, and documentation. Use this skill for requests like 'build a design system', 'component library', 'UI kit', 'design tokens', 'Storybook setup', 'accessibility verification', 'WCAG verification', 'UI components', 'create a button component', etc. Note: Figma plugin development, design system SaaS construction, and native app components (SwiftUI/Jetpack Compose) are outside the scope of this skill.
What it loads into context
Frontmatter
129 tokensAlways available to the agent
SKILL.md
1,677 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Execution Modes by Request Scope
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# Design System — UI Design System Full Pipeline
An agent team collaborates to build design tokens, components, Storybook, accessibility verification, and documentation.
## Execution Mode
**Agent Team** — Five agents communicate directly via SendMessage and perform cross-validation.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| token-designer | `.claude/agents/token-designer.md` | Design token design | general-purpose |
| component-developer | `.claude/agents/component-developer.md` | Component development | general-purpose |token-generator
When your agent uses it
Methodology and tools for systematically generating design tokens. Use for requests like 'create design tokens', 'token system design', 'color scale generation', 'typography scale', 'spacing system', 'dark mode tokens', etc. Note: Figma token plugin execution and Style Dictionary runtime builds are outside the scope of this skill.
What it loads into context
Frontmatter
73 tokensAlways available to the agent
SKILL.md
1,496 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- Token Hierarchy (3-Tier)
- Color Scale Generation Algorithm
- Semantic Color Mapping Standard
- Typography Scale (Major Third 1.250)
- Spacing System (4px Base)
- Shadow System
- Motion Tokens
- Output Formats
Files
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# Token Generator — Design Token Generation Methodology
A domain knowledge skill that enhances the token-designer agent's token design capabilities.
## Target Agents
- **token-designer** — Uses this methodology when designing color, typography, spacing, and other token systems
- **component-developer** — References naming conventions when consuming tokens in components
## Token Hierarchy (3-Tier)
```
Global (Primitive) > Alias (Semantic) > Component
----------------------------------------------------wcag-checker
When your agent uses it
WCAG 2.1/2.2 accessibility verification checklist and automated audit methodology skill. Use for requests like 'verify accessibility', 'WCAG check', 'check contrast ratio', 'ARIA audit', 'keyboard accessibility', 'screen reader test', etc. Note: running actual assistive technology (JAWS/NVDA), legal consultation, and accessibility certification issuance are outside the scope of this skill.
What it loads into context
Frontmatter
91 tokensAlways available to the agent
SKILL.md
1,585 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- WCAG 2.1 AA Mandatory Criteria Checklist
- Contrast Ratio Calculation Formula
- Per-Component ARIA Patterns
- Keyboard Interaction Matrix
- Verification Report Template
Files
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# WCAG Checker — Accessibility Verification Checklist + Tools
A domain knowledge skill that enhances the a11y-auditor agent's accessibility verification capabilities.
## Target Agents
- **a11y-auditor** — Uses this skill's checklist and formulas to verify per-component accessibility
- **component-developer** — Checks accessibility requirements proactively during development
## WCAG 2.1 AA Mandatory Criteria Checklist
### 1. Perceivable
| Criterion | Item | Verification Method | Severity |anti-bot-analyzer
When your agent uses it
A skill for analyzing website anti-bot defense mechanisms and developing legitimate evasion strategies. Use for requests like 'analyze anti-bot defenses', 'bot blocking bypass', 'Cloudflare response', 'CAPTCHA detection', 'rate limit check', etc. Note: developing illegal bypass tools, CAPTCHA auto-solving services, and privacy-violating scraping are outside the scope of this skill.
What it loads into context
Frontmatter
88 tokensAlways available to the agent
SKILL.md
1,061 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- Anti-Bot Defense Layer Classification
- Automated Defense Level Detection Flow
- Rate Limit Design Formula
- robots.txt Analysis Checklist
- Legitimate Alternative Search Order
- Legal Risk Checklist
- Report Template
Files
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# Anti-Bot Analyzer — Anti-Bot Defense Analysis + Legitimate Response
A skill that enhances target-analyst's and crawler-developer's anti-bot analysis capabilities.
## Target Agents
- **target-analyst** — Pre-assesses the defense level of target sites
- **crawler-developer** — Develops legitimate crawler strategies based on analysis results
## Anti-Bot Defense Layer Classification
### Level 1: Basic Defense (Difficulty: Low)
| Defense | Detection Method | Response Strategy |
|---------|-----------------|-------------------|selector-generator
When your agent uses it
A skill for systematically generating and validating CSS/XPath selectors for web page data extraction. Use for requests like 'create selectors', 'CSS selectors', 'write XPath', 'data extraction patterns', 'parsing rules', etc. Note: directly operating browser DevTools is outside the scope of this skill.
What it loads into context
Frontmatter
68 tokensAlways available to the agent
SKILL.md
914 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- Selector Strategy Priority
- Selector Pattern Recipes
- XPath vs CSS Decision Criteria
- Selector Robustness Score (0-100)
- Change Detection Pattern
- Data Cleansing Pipeline
Files
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# Selector Generator — CSS/XPath Selector Generation + Validation
A skill that enhances parser-engineer's selector authoring capabilities.
## Target Agents
- **parser-engineer** — Designs accurate selectors during HTML parsing
- **monitor-operator** — Implements selector change detection logic
## Selector Strategy Priority
```
1st: Unique ID -> #product-price
2nd: data-* attributes -> [data-testid="price"]web-scraper
When your agent uses it
Full pipeline for building web scraping systems with agent team collaboration. Use this skill for requests like 'build a web scraper', 'develop a crawler', 'collect site data', 'web crawling system', 'build a scraper', 'data collection automation', 'site parsing', 'web data extraction', etc. Also supports target-analysis-only mode for specific site analysis. Note: real-time streaming data processing (Kafka/Flink), browser automation testing (Selenium testing), and website performance monitoring are outside the scope of this skill.
What it loads into context
Frontmatter
113 tokensAlways available to the agent
SKILL.md
1,536 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Execution Modes by Request Scope
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# Web Scraper — Web Scraping System Construction Pipeline
An agent team collaborates to build target analysis, crawler design, parsing, storage, and monitoring for web scraping systems.
## Execution Mode
**Agent Team** — Five agents communicate directly via SendMessage and perform cross-validation.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| target-analyst | `.claude/agents/target-analyst.md` | Target site analysis, risk assessment | general-purpose |
| crawler-developer | `.claude/agents/crawler-developer.md` | Crawler architecture and implementation | general-purpose |chatbot-builder
When your agent uses it
Full pipeline where an agent team collaborates to build a chatbot system. Use this skill for requests like 'build me a chatbot', 'conversational bot development', 'customer service bot', 'FAQ chatbot', 'KakaoTalk chatbot', 'Slack bot', 'auto-response system', 'conversational AI', 'chatbot design', and other chatbot construction tasks. Also supports design-only mode when only conversation design is needed. Note: voice assistants (Alexa/Google Home), real-time voice call bots, and video chatbots are outside the scope of this skill.
What it loads into context
Frontmatter
122 tokensAlways available to the agent
SKILL.md
1,626 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Execution Modes by Request Scope
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# Chatbot Builder — Chatbot Construction Pipeline
An agent team collaborates to build a chatbot through persona design > conversation design > NLU > integration > testing.
## Execution Mode
**Agent Team** — Five agents communicate directly via SendMessage and perform cross-validation.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| persona-architect | `.claude/agents/persona-architect.md` | Bot persona design | general-purpose |
| conversation-designer | `.claude/agents/conversation-designer.md` | Conversation scenario design | general-purpose |conversation-flow-validator
When your agent uses it
Methodology for validating chatbot conversation flow completeness, cycles, and dead ends. Use this skill for 'conversation flow validation', 'scenario testing', 'edge case checking', 'fallback verification', 'multi-turn testing', and other dialog quality verification tasks. Note: conducting actual user testing and building A/B testing infrastructure are outside the scope of this skill.
What it loads into context
Frontmatter
78 tokensAlways available to the agent
SKILL.md
1,118 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- Conversation Flow Graph Analysis
- Test Scenario Generation Framework
- Multi-Turn Verification Checklist
- Fallback Strategy Hierarchy
- Quality Metrics
- Validation Report Template
Files
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# Conversation Flow Validator — Dialog Flow Validation Methodology
A skill that enhances dialog quality verification for the dialog-tester and conversation-designer.
## Target Agents
- **dialog-tester** — Systematically validates conversation scenarios
- **conversation-designer** — Proactively discovers flow defects during the design phase
## Conversation Flow Graph Analysis
### Node Types
```intent-taxonomy-builder
When your agent uses it
Methodology for systematically designing a chatbot's intent classification taxonomy. Use this skill for 'intent taxonomy design', 'intent system', 'NLU intent list', 'entity dictionary', 'slot design', and other chatbot intent classification taxonomy design tasks. Note: actual NLU model training and cloud NLU service deployment are outside the scope of this skill.
What it loads into context
Frontmatter
79 tokensAlways available to the agent
SKILL.md
1,296 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- Intent Classification Taxonomy Design Framework
- Entity Design Methodology
- Training Data Generation Guide
- Intent Confusion Matrix Analysis
- Deliverable Template
Files
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# Intent Taxonomy Builder — Intent Classification Taxonomy Design Methodology
A skill that enhances intent classification design for the nlu-developer and conversation-designer.
## Target Agents
- **nlu-developer** — Used when designing intent/entity/slot systems
- **conversation-designer** — Used when mapping conversation scenarios to intents
## Intent Classification Taxonomy Design Framework
### Step 1: Domain Intent Collection
```changelog-generator
When your agent uses it
Full pipeline where an agent team collaborates to perform release management. Use this skill for requests like 'create release notes', 'generate CHANGELOG', 'write changelog', 'prepare version release', 'migration guide', 'release announcement', 'organize changes', 'new version announcement', and other release management tasks. Note: CI/CD pipeline construction, automated deployment configuration, and version management policy establishment are outside the scope of this skill.
What it loads into context
Frontmatter
96 tokensAlways available to the agent
SKILL.md
1,463 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Execution Modes by Request Scope
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# Changelog Generator — Release Management Pipeline
An agent team collaborates to generate git history analysis, change classification, release notes, migration guides, and announcements.
## Execution Mode
**Agent Team** — Five agents communicate directly via SendMessage and perform cross-validation.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| commit-analyst | `.claude/agents/commit-analyst.md` | Git history analysis | general-purpose |
| change-classifier | `.claude/agents/change-classifier.md` | Change classification, impact assessment | general-purpose |commit-parser
When your agent uses it
Methodology for parsing git commit messages and extracting structured change information. Use this skill for 'commit parsing', 'commit message analysis', 'Conventional Commits parsing', 'git history structuring', and other commit analysis tasks. Note: git hook configuration and commit lint tool installation are outside the scope of this skill.
What it loads into context
Frontmatter
71 tokensAlways available to the agent
SKILL.md
1,283 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- Conventional Commits Parsing Rules
- Non-Conventional Commit Classification Strategy
- PR/Issue Mapping Strategy
- Change Impact Score Calculation
- Git Command Recipes
Files
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# Commit Parser — Commit Message Parsing and Structuring Methodology
A skill that enhances the commit analysis capabilities of the commit-analyst.
## Target Agents
- **commit-analyst** — Extracts meaningful change information from git history
- **change-classifier** — Classifies changes using parsed results
## Conventional Commits Parsing Rules
### Regex Pattern
```semver-analyzer
When your agent uses it
Methodology for analyzing changes according to Semantic Versioning (SemVer) rules and determining the appropriate version number. Use this skill for 'SemVer analysis', 'version number determination', 'Breaking Change assessment', 'version bump decisions', and other version management tasks. Note: automatic git tag creation and CI/CD release execution are outside the scope of this skill.
What it loads into context
Frontmatter
81 tokensAlways available to the agent
SKILL.md
978 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- SemVer 2.0.0 Core Rules
- Breaking Change Assessment Matrix
- Version Bump Decision Algorithm
- Conventional Commits Mapping
- Keep a Changelog Format
- Pre-Release Version System
Files
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# SemVer Analyzer — Semantic Versioning Analysis Methodology
A skill that enhances version determination capabilities for the change-classifier and release-note-writer.
## Target Agents
- **change-classifier** — Determines the SemVer impact of changes
- **release-note-writer** — Determines version numbers and highlights
## SemVer 2.0.0 Core Rules
```
MAJOR.MINOR.PATCH[-prerelease][+build]
arg-parser-generator
When your agent uses it
Methodology for systematically designing and generating CLI tool argument parser structures. Use this skill for 'CLI argument design', 'option structure', 'subcommand design', 'argument parser generation', 'help text design', and other CLI argument system design tasks. Note: GUI interface design and TUI framework integration are outside the scope of this skill.
What it loads into context
Frontmatter
76 tokensAlways available to the agent
SKILL.md
1,240 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- CLI Argument Type Classification
- Subcommand Design Patterns
- Option Naming Rules
- Per-Language Parser Library + Boilerplate
- Help Output Standard
- Exit Code Standard
Files
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# Arg Parser Generator — CLI Argument Parser Design + Code Generation
A skill that enhances argument parser design for the command-designer and core-developer.
## Target Agents
- **command-designer** — Designs command structure and option layout
- **core-developer** — Implements argument parser code
## CLI Argument Type Classification
| Type | Format | Example |
|------|--------|---------|
| Positional argument | `<arg>` | `convert input.json` |cli-tool-builder
When your agent uses it
Full pipeline where an agent team collaborates to develop a CLI tool. Use this skill for requests like 'build me a CLI tool', 'command-line tool development', 'CLI utility', 'terminal tool', 'command-line program', 'CLI app build', 'shell tool development', and other CLI tool development tasks. Also supports design-only mode when only command design is needed. Note: GUI app development, web dashboard construction, and IDE plugin development are outside the scope of this skill.
What it loads into context
Frontmatter
106 tokensAlways available to the agent
SKILL.md
1,465 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Execution Modes by Request Scope
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# CLI Tool Builder — CLI Tool Development Pipeline
An agent team collaborates to develop CLI tools through command design > parser implementation > handlers > testing > documentation > deployment.
## Execution Mode
**Agent Team** — Five agents communicate directly via SendMessage and perform cross-validation.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| command-designer | `.claude/agents/command-designer.md` | Command structure design | general-purpose |
| core-developer | `.claude/agents/core-developer.md` | Core implementation | general-purpose |ux-linter
When your agent uses it
Checklist and best practices for validating CLI tool user experience. Use this skill for 'CLI UX validation', 'usability check', 'output format verification', 'error message review', 'interaction pattern inspection', and other CLI UX quality checks. Note: GUI usability testing and accessibility certification are outside the scope of this skill.
What it loads into context
Frontmatter
72 tokensAlways available to the agent
SKILL.md
1,088 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- CLI UX 12-Principle Checklist
- Error Message Format Standard
- Output Format Guide
- Color Usage Guide
- Interactive Patterns
- UX Validation Report Template
Files
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# UX Linter — CLI User Experience Validation Checklist
A skill that enhances UX quality verification for the test-engineer and docs-writer.
## Target Agents
- **test-engineer** — Systematically performs CLI usability testing
- **docs-writer** — Writes documentation from the user's perspective
## CLI UX 12-Principle Checklist
### 1. Discoverability
```
[ ] Does --help provide useful information?chunking-strategy-guide
When your agent uses it
Methodology for systematically designing document chunking strategies for RAG pipelines. Use this skill for 'chunking strategy', 'document splitting', 'RAG chunking', 'embedding optimization', 'semantic chunking', 'text splitting', and other RAG data preprocessing tasks. Note: vector DB infrastructure construction and embedding model training are outside the scope of this skill.
What it loads into context
Frontmatter
83 tokensAlways available to the agent
SKILL.md
1,231 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- Chunking Strategy Comparison
- Chunking Parameter Guide
- Semantic Chunking Algorithm
- Per-Document-Type Preprocessing Pipeline
- Metadata Enrichment Strategy
- Chunking Quality Evaluation Metrics
- Embedding Model Selection Guide
Files
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# Chunking Strategy Guide — RAG Document Chunking Strategy
A skill that enhances the data preprocessing capabilities of the rag-architect.
## Target Agents
- **rag-architect** — Effectively chunks documents to improve retrieval quality
- **eval-specialist** — Evaluates the retrieval quality of chunking strategies
## Chunking Strategy Comparison
| Strategy | Principle | Advantages | Disadvantages | Best For |
|----------|----------|-----------|--------------|---------|
| Fixed-size | Cut at N-token intervals | Simple implementation | Semantic breaks | Logs, code |llm-app-builder
When your agent uses it
Full pipeline where an agent team collaborates to develop an LLM app. Use this skill for requests like 'build me an LLM app', 'AI app development', 'build a RAG system', 'GPT app', 'AI chatbot development', 'prompt engineering', 'LLM pipeline', 'AI assistant development', 'generative AI app', 'RAG pipeline', and other LLM-based app development tasks. Also supports prompt-only mode when only prompt design is needed. Note: LLM model training (running fine-tuning), GPU infrastructure construction, and model serving (vLLM/TGI deployment) are outside the scope of this skill.
What it loads into context
Frontmatter
141 tokensAlways available to the agent
SKILL.md
1,724 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Execution Modes by Request Scope
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# LLM App Builder — LLM App Development Pipeline
An agent team collaborates to develop LLM apps through prompt engineering > RAG pipeline > evaluation > optimization > deployment.
## Execution Mode
**Agent Team** — Five agents communicate directly via SendMessage and perform cross-validation.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| prompt-engineer | `.claude/agents/prompt-engineer.md` | Prompt design | general-purpose |
| rag-architect | `.claude/agents/rag-architect.md` | RAG pipeline | general-purpose |prompt-optimizer
When your agent uses it
Methodology for systematically evaluating and optimizing LLM prompt quality. Use this skill for 'prompt optimization', 'prompt improvement', 'guardrail design', 'prompt debugging', 'few-shot optimization', 'system prompt design', and other prompt quality improvement tasks. Note: LLM model fine-tuning and model weight modification are outside the scope of this skill.
What it loads into context
Frontmatter
79 tokensAlways available to the agent
SKILL.md
1,159 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- Prompt Quality Evaluation Rubric (CRISP)
- System Prompt Structure Template (RCTF)
- Constraints
- Token Optimization Techniques
Files
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# Prompt Optimizer — Prompt Optimization Methodology
A skill that enhances prompt quality for the prompt-engineer and eval-specialist.
## Target Agents
- **prompt-engineer** — Optimizes system prompts and few-shot examples
- **eval-specialist** — Measures the effect of prompt changes
## Prompt Quality Evaluation Rubric (CRISP)
| Dimension | Description | Score Criteria |
|-----------|------------|---------------|
| **C**larity | Are instructions unambiguous? | 5: Only one interpretation possible |bi-dashboard
When your agent uses it
Full pipeline where an agent team collaborates to generate data warehouse design, KPI definitions, visualizations, and automated reports for a BI dashboard. Use this skill for requests like 'build me a BI dashboard', 'dashboard design', 'define KPIs', 'executive reporting dashboard', 'data visualization design', 'report automation', 'data warehouse design', 'build a KPI tree', 'sales dashboard', 'performance metrics framework', and other BI dashboard construction tasks. Also supports visualization or report automation when existing data models or KPI lists are available. Note: direct manipulation of BI tools (Tableau/PowerBI/Looker), database instance creation, and real-time data pipeline operation are outside the scope of this skill.
What it loads into context
Frontmatter
151 tokensAlways available to the agent
SKILL.md
1,579 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Execution Modes by Request Scope
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# BI Dashboard — Data Analytics Dashboard Full Pipeline
An agent team collaborates to generate data warehouse design, KPI definitions, visualizations, and automated reports in one pass.
## Execution Mode
**Agent Team** — Five agents communicate directly via SendMessage and perform cross-validation.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| data-engineer | `.claude/agents/data-engineer.md` | Warehouse design, ETL, data modeling | general-purpose |
| kpi-designer | `.claude/agents/kpi-designer.md` | Metric definition, calculation logic, target setting | general-purpose |chart-selector
When your agent uses it
Methodology for selecting optimal chart types based on data type and analysis purpose. Use this skill for 'chart recommendation', 'visualization type selection', 'graph types', 'dashboard visualization design', and other data visualization design tasks. Note: writing D3.js/Chart.js code and operating Tableau/PowerBI are outside the scope of this skill.
What it loads into context
Frontmatter
77 tokensAlways available to the agent
SKILL.md
1,145 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- Chart Selection Decision Tree
- Detailed Chart Type Guide
- Color Palette Guide
- Dashboard Layout Principles
Files
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# Chart Selector — Data Visualization Chart Selection Guide
A skill that enhances visualization design for the dashboard-builder.
## Target Agents
- **dashboard-builder** — Selects the optimal chart for the data
- **kpi-designer** — Determines metric presentation methods
## Chart Selection Decision Tree
```
Question 1: What are you trying to show?
kpi-tree-builder
When your agent uses it
Methodology for systematically designing KPI trees (metric hierarchy) and defining drill-down structures. Use this skill for 'build a KPI tree', 'metric hierarchy design', 'drill-down structure', 'KPI decomposition', 'performance metrics framework', 'revenue decomposition tree', and other KPI system design tasks. Note: actual database query optimization and real-time monitoring infrastructure construction are outside the scope of this skill.
What it loads into context
Frontmatter
91 tokensAlways available to the agent
SKILL.md
1,195 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- KPI Tree Decomposition Methodology
- Domain-Specific KPI Tree Templates
- KPI Definition Standard Form
- Metric Quality Checklist (SMART-D)
- Threshold Setting Methods
- Drill-Down Design Patterns
Files
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# KPI Tree Builder — KPI Tree Design Methodology
A skill that enhances metric design for the kpi-designer and dashboard-builder.
## Target Agents
- **kpi-designer** — Systematically designs KPI hierarchies
- **dashboard-builder** — Implements drill-down navigation
## KPI Tree Decomposition Methodology
### Multiplicative Decomposition
```pitch-deck-framework
When your agent uses it
Framework for pitch deck structure, storytelling, and slide design for fundraising. Use this skill for 'pitch deck framework', 'investor PT structure', 'pitch storyline', 'slide design', 'investor Q&A preparation', and other pitch deck writing tasks. Note: actual investment contract writing, legal review, and graphic design execution are outside the scope of this skill.
What it loads into context
Frontmatter
83 tokensAlways available to the agent
SKILL.md
731 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- Standard Deck Structure (12 slides)
- Storytelling Arc
- Per-Slide Design Rules
- Investor Q&A Preparation
- Common Pitch Deck Mistakes
Files
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# Pitch Deck Framework — Investor Pitch Deck Design Guide
A skill that enhances pitch deck creation for the pitch-creator and launch-reviewer.
## Target Agents
- **pitch-creator** — Creates compelling investor pitch decks
- **launch-reviewer** — Evaluates pitch deck quality and investment readiness
## Standard Deck Structure (12 slides)
```
1. Cover — Company name, one-line description, contact
2. Problem — The pain point (with data or story)startup-launcher
When your agent uses it
Full launch pipeline where an agent team collaborates to generate idea validation, business model design, MVP planning, and pitch deck creation in one pass. Use this skill for requests like 'plan a startup', 'validate a business idea', 'create a business model', 'write a pitch deck', 'design an MVP', 'prepare for fundraising', 'startup preparation', 'write a business plan', 'startup launch strategy', 'BM design', and other startup launch tasks. Also supports pitch deck writing or market validation when existing business models or MVPs are available. Note: company incorporation procedures, actual investment contract writing, code development, and accounting/tax processing are outside the scope of this skill.
What it loads into context
Frontmatter
147 tokensAlways available to the agent
SKILL.md
1,183 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Execution Modes by Request Scope
- Error Handling
- Agent Extension Skills
Files
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# Startup Launcher — Startup Launch Pipeline
An agent team collaborates to generate idea validation, business model, MVP design, and pitch deck through market analysis > business model > MVP > pitch deck > review.
## Execution Mode
**Agent Team** — Five agents communicate directly via SendMessage and perform cross-validation.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| market-analyst | `.claude/agents/market-analyst.md` | Market validation, competitive analysis | general-purpose |
| business-modeler | `.claude/agents/business-modeler.md` | Revenue model, unit economics, financials | general-purpose |unit-economics-calculator
When your agent uses it
Methodology for systematically calculating startup unit economics (LTV, CAC, margin, BEP). Use this skill for 'unit economics calculation', 'LTV calculation', 'CAC analysis', 'break-even point', 'per-customer economics', 'unit profitability', and other unit economics analysis tasks. Note: bookkeeping, tax filing, and financial auditing are outside the scope of this skill.
What it loads into context
Frontmatter
89 tokensAlways available to the agent
SKILL.md
745 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- Core Metrics
- Scenario Analysis Template
- Industry Benchmarks
Files
skill.mdcore2,677 bytes
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# Unit Economics Calculator — Unit Economics Calculation Methodology
A skill that enhances the business-modeler's financial analysis capabilities.
## Target Agents
- **business-modeler** — Calculates unit economics systematically
- **launch-reviewer** — Validates financial assumptions
## Core Metrics
### CAC (Customer Acquisition Cost)
```
CAC = Total Marketing & Sales Spend / New Customers Acquiredmarket-research
When your agent uses it
Full research pipeline where an agent team collaborates to generate industry analysis, competitive analysis, consumer research, trend analysis, and integrated reports. Use this skill for requests like 'do market research', 'competitive analysis', 'industry analysis', 'consumer analysis', 'trend analysis', 'market research', 'market size', 'analyze competitors', 'PESTLE analysis', 'Porter 5 Forces', 'market entry strategy', 'target customer analysis', and other market research tasks. Also supports additional analysis or integrated report writing when existing analysis materials are available. Note: conducting actual surveys, running interviews, statistical software analysis, and purchasing market research reports are outside the scope of this skill.
What it loads into context
Frontmatter
146 tokensAlways available to the agent
SKILL.md
997 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Execution Modes by Request Scope
- Error Handling
- Agent Extension Skills
Files
skill.mdcore4,394 bytes
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# Market Research — Full Market Research Pipeline
An agent team collaborates to generate industry analysis, competitive analysis, consumer research, trend analysis, and integrated reports.
## Execution Mode
**Agent Team** — Five agents communicate directly via SendMessage and perform cross-validation.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| industry-analyst | `.claude/agents/industry-analyst.md` | Market size, value chain, industry structure | general-purpose |
| competitor-analyst | `.claude/agents/competitor-analyst.md` | Competitor mapping, SWOT, positioning | general-purpose |porter-five-forces
When your agent uses it
Methodology for systematically performing Porter's 5 Forces analysis. Use this skill for 'Porter analysis', '5 Forces', 'industry competition analysis', 'entry barrier analysis', 'industry attractiveness', and other industry structure analysis tasks. Note: in-depth financial statement analysis and M&A advisory are outside the scope of this skill.
What it loads into context
Frontmatter
75 tokensAlways available to the agent
SKILL.md
733 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- The Five Forces Framework
- Analysis Output Template
- Scoring Guide
Files
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# Porter Five Forces — Industry Structure Analysis Methodology
A skill that enhances industry structure analysis for the industry-analyst and competitor-analyst.
## Target Agents
- **industry-analyst** — Analyzes industry competitive dynamics
- **competitor-analyst** — Evaluates competitive positioning within industry structure
## The Five Forces Framework
### 1. Threat of New Entrants
```
Assessment factors:tam-sam-som-calculator
When your agent uses it
Methodology for systematically calculating market size (TAM/SAM/SOM). Use this skill for 'TAM SAM SOM calculation', 'market size estimation', 'market sizing', 'market opportunity analysis', 'addressable market', and other market sizing tasks. Note: purchasing paid market research reports and directly collecting census data are outside the scope of this skill.
What it loads into context
Frontmatter
84 tokensAlways available to the agent
SKILL.md
688 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- Definitions
- Top-Down Approach
- Bottom-Up Approach
- Cross-Validation
- Data Sources
- Common Mistakes
Files
skill.mdcore2,791 bytes
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# TAM SAM SOM Calculator — Market Sizing Methodology
A skill that enhances market sizing for the industry-analyst and research-reviewer.
## Target Agents
- **industry-analyst** — Calculates market size systematically
- **research-reviewer** — Validates market size calculations
## Definitions
```
TAM (Total Addressable Market):
Total revenue opportunity if 100% market sharebudget-standard-checker
When your agent uses it
Methodology for verifying government R&D project budget cost category standards and appropriateness. Use this skill for 'budget standard verification', 'cost category allocation', 'government project budget regulations', 'personnel cost standards', 'equipment allocation', 'indirect cost calculation', and other government project budget verification tasks. Note: actual accounting processing, tax calculation, and evidence document issuance are outside the scope of this skill.
What it loads into context
Frontmatter
91 tokensAlways available to the agent
SKILL.md
855 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- Cost Category Standards
- Budget Proportion Guidelines
- Compliance Checklist
Files
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# Budget Standard Checker — Government R&D Budget Compliance Verification
A skill that enhances budget compliance verification for the budget-planner and submission-reviewer.
## Target Agents
- **budget-planner** — Ensures budget complies with government standards
- **submission-reviewer** — Validates budget appropriateness
## Cost Category Standards
### Personnel Costs
```
Rules:gov-funding-plan
When your agent uses it
Full pipeline where an agent team collaborates to generate government funding proposal announcement analysis, technical/business section writing, budget planning, documentation preparation, and submission verification. Use this skill for requests like 'write a government funding proposal', 'government project application', 'R&D business plan', 'TIPS business plan', 'government R&D budget planning', 'analyze the announcement', 'write the technical section', 'write the business section', 'government project budget', and other government funding proposal tasks. Also supports budget planning or verification when existing technical or business plans are available. Note: actual online system submission, corporate document issuance, accounting processing, and patent filing are outside the scope of this skill.
What it loads into context
Frontmatter
148 tokensAlways available to the agent
SKILL.md
1,125 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Execution Modes by Request Scope
- Error Handling
- Agent Extension Skills
Files
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# Gov Funding Plan — Government Funding Proposal Pipeline
An agent team collaborates to generate announcement analysis, technical and business section writing, budget planning, and submission verification for government funding proposals.
## Execution Mode
**Agent Team** — Five agents communicate directly via SendMessage and perform cross-validation.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| announcement-analyst | `.claude/agents/announcement-analyst.md` | Announcement analysis, requirements extraction | general-purpose |
| tech-writer | `.claude/agents/tech-writer.md` | Technical section writing | general-purpose |scoring-optimizer
When your agent uses it
Methodology for analyzing government funding program evaluation scoring tables and developing high-score strategies. Use this skill for 'scoring analysis', 'high-score strategy', 'evaluation criteria optimization', 'review preparation', 'document/presentation evaluation preparation', and other government project evaluation preparation tasks. Note: contacting reviewers and conducting actual presentations are outside the scope of this skill.
What it loads into context
Frontmatter
79 tokensAlways available to the agent
SKILL.md
673 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- Scoring Analysis Framework
- Common Evaluation Categories
- Presentation Preparation (if applicable)
Files
skill.mdcore3,156 bytes
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# Scoring Optimizer — Government Funding Evaluation Scoring Strategy
A skill that enhances evaluation preparation for the submission-reviewer, tech-writer, and biz-writer.
## Target Agents
- **submission-reviewer** — Optimizes the proposal for maximum scoring
- **tech-writer** — Aligns technical content with high-weight criteria
- **biz-writer** — Aligns business content with high-weight criteria
## Scoring Analysis Framework
### Step 1: Weight Distribution Analysis
```product-manager
When your agent uses it
A full PM pipeline where an agent team collaborates to generate roadmaps, PRDs, user stories, sprint plans, and retrospectives in one go. Use this skill for 'Write a PRD,' 'Build a roadmap,' 'Decompose user stories,' 'Plan sprints,' 'Help with product planning,' 'PM tasks,' 'feature specifications,' 'product requirements,' 'backlog grooming,' 'sprint planning,' 'OKR setting,' 'product strategy,' and 'retrospective templates' — the full spectrum of PM work. It also supports user story decomposition and sprint planning when existing PRDs or roadmaps are provided. Note: Actual Jira/Linear ticket creation, design mockup production, code development, and stakeholder meeting facilitation are outside the scope of this skill.
What it loads into context
Frontmatter
166 tokensAlways available to the agent
SKILL.md
1,562 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Execution Modes by Request Scope
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# Product Manager — Full PM Pipeline
An agent team collaborates to generate the full pipeline in one pass: Roadmap, PRD, User Stories, Sprint Plan, and Retrospective.
## Execution Mode
**Agent Team** — 5 agents communicate directly via SendMessage and cross-verify each other's work.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| strategist | `.claude/agents/strategist.md` | Vision, roadmap, OKR, prioritization | general-purpose |
| prd-writer | `.claude/agents/prd-writer.md` | Product requirements document | general-purpose |rice-prioritizer
When your agent uses it
A methodology for systematically determining feature priorities using the RICE framework. Used for 'RICE analysis,' 'feature prioritization,' 'backlog prioritization,' 'feature scoring,' and 'prioritization frameworks' when deciding on product feature priorities. Note: Automatic Jira/Linear ticket creation and real-time dashboard building are outside the scope of this skill.
What it loads into context
Frontmatter
81 tokensAlways available to the agent
SKILL.md
1,165 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- RICE Score Formula
- RICE Calculation Example
- Supplementary Frameworks
- Priority Matrix Visualization
- Deliverable Template
Files
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# RICE Prioritizer — Feature Prioritization Framework
A skill that enhances the feature prioritization decisions of strategist and prd-writer.
## Target Agents
- **strategist** — Determines roadmap initiative priorities
- **prd-writer** — Justifies feature priorities within the PRD using RICE
## RICE Score Formula
```
RICE Score = (Reach x Impact x Confidence) / Effort
```story-point-estimator
When your agent uses it
A methodology for systematically estimating user story points. Used during sprint planning for tasks such as 'story point estimation,' 'SP calculation,' 'effort estimation,' 'velocity calculation,' and 'planning poker.' Note: Updating actual Jira tickets or facilitating team meetings is outside the scope of this skill.
What it loads into context
Frontmatter
68 tokensAlways available to the agent
SKILL.md
1,148 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- Fibonacci Scale Reference
- Complexity Assessment Dimensions
- Velocity Calculation
- Sprint Capacity Calculation
- User Story Decomposition Criteria
- Estimation Bias Prevention
- Deliverable Template
Files
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# Story Point Estimator
A skill that enhances the effort estimation capabilities of sprint-planner and story-writer.
## Target Agents
- **sprint-planner** — Plans sprint capacity and story allocation
- **story-writer** — Evaluates complexity when writing user stories
## Fibonacci Scale Reference
| SP | Complexity | Uncertainty | Effort | Example |
|----|-----------|-------------|--------|---------|
| 1 | Very Low | None | A few hours | Text change, config value update |okr-quality-checker
When your agent uses it
A methodology for systematically verifying OKR (Objectives and Key Results) quality. Used for 'OKR verification,' 'OKR quality check,' 'KR measurability,' 'OKR alignment check,' and 'Objective quality' when validating OKRs. Note: OKR software configuration and performance review integration are outside the scope of this skill.
What it loads into context
Frontmatter
79 tokensAlways available to the agent
SKILL.md
1,335 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- Objective Quality Criteria (QSIM)
- Key Result Quality Criteria (SMART-V)
- OKR Structure Verification
- Scoring System
- OKR Anti-Patterns
- Verification Report Template
Files
skill.mdcore5,057 bytesskill.mdcore5,057 bytes
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# OKR Quality Checker
A skill that enhances OKR quality verification for okr-designer and strategy-reviewer.
## Target Agents
- **okr-designer** — Self-verifies the quality of designed OKRs
- **strategy-reviewer** — Confirms the strategic alignment of OKRs
## Objective Quality Criteria (QSIM)
| Criterion | Description | Pass Condition |
|-----------|-----------|----------------|
| **Q**ualitative | Is it qualitative and inspiring? | Provides direction without numbers |strategy-framework
When your agent uses it
A full pipeline that systematizes an organization's strategy framework through OKR design, BSC mapping, SWOT analysis, vision & mission statement, and strategy execution roadmap. Use this skill for 'build a strategy framework,' 'design OKRs,' 'BSC analysis,' 'SWOT analysis,' 'write vision and mission,' 'strategy roadmap,' 'strategy formulation,' 'mid-to-long-term strategy,' 'business strategy framework,' and 'strategy system design' — across the full spectrum of organizational strategy development. It also supports supplementing and validating existing OKRs or SWOT analyses. Note: Financial statement preparation, ERP system implementation, performance review execution, and real-time KPI dashboard development are outside the scope of this skill.
What it loads into context
Frontmatter
150 tokensAlways available to the agent
SKILL.md
1,906 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Execution Modes by Request Scope
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# Strategy Framework — Full Strategy Pipeline
Systematizes an organization's strategy through the sequence: OKR → BSC → SWOT → Vision & Mission → Execution Roadmap.
## Execution Mode
**Agent Team** — 5 agents communicate directly via SendMessage and cross-verify each other's work.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| okr-designer | `.claude/agents/okr-designer.md` | OKR goal & key result design, alignment | general-purpose |
| bsc-analyst | `.claude/agents/bsc-analyst.md` | BSC four-perspective mapping, KPI system | general-purpose |tows-matrix-builder
When your agent uses it
A methodology for converting SWOT analysis results into a TOWS matrix to derive actionable strategies. Used for 'TOWS analysis,' 'SWOT strategy derivation,' 'strategy matrix,' 'cross-analysis,' and 'SO/WO/ST/WT strategies' when developing SWOT-based strategies. Note: Financial modeling and organizational design are outside the scope of this skill.
What it loads into context
Frontmatter
83 tokensAlways available to the agent
SKILL.md
1,328 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- TOWS Matrix Structure
- Strategy Derivation Guide by Type
- Strategy Priority Evaluation
- SWOT Element Derivation Guide
- Deliverable Template
Files
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# TOWS Matrix Builder — SWOT-to-Strategy Conversion Methodology
A skill that enhances strategy derivation for swot-specialist and strategy-writer.
## Target Agents
- **swot-specialist** — Systematically derives TOWS strategies from SWOT analysis
- **strategy-writer** — Connects TOWS strategies to the execution roadmap
## TOWS Matrix Structure
```
| Strengths (Internal) | Weaknesses (Internal) |
──────────────┼─────────────────────┼──────────────────────┤objection-handler
When your agent uses it
A methodology for systematically classifying and responding to customer objections in B2B sales. Used for 'objection handling,' 'rebuttal management,' 'sales rebuttals,' 'price objections,' 'competitive comparison responses,' and 'budget constraint responses' when handling sales objections. Note: Legal advisory, contract drafting, and actual negotiation representation are outside the scope of this skill.
What it loads into context
Frontmatter
84 tokensAlways available to the agent
SKILL.md
1,198 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- Objection Classification System (BANT+C)
- LAER Response Framework
- Objection Severity Assessment
- Pre-emptive Objection Handling
- Negotiation Strategy Matrix
- Objection Response Script Template
Files
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# Objection Handler — Sales Objection Response Framework
A skill that enhances objection handling capabilities for followup-manager and proposal-writer.
## Target Agents
- **followup-manager** — Systematically handles customer objections during the follow-up process
- **proposal-writer** — Includes pre-emptive objection responses in the proposal
## Objection Classification System (BANT+C)
### Budget
| Objection | Response Strategy |roi-calculator
When your agent uses it
A B2B sales ROI (Return on Investment) calculation framework. Used for 'sales ROI calculation,' 'TCO analysis,' 'payback period,' 'cost reduction analysis,' and 'value proposition quantification' when writing sales proposals. Note: Financial statement auditing and tax advisory are outside the scope of this skill.
What it loads into context
Frontmatter
73 tokensAlways available to the agent
SKILL.md
1,119 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- ROI Calculation Formulas
- Value Quantification Framework
- Three-Stage ROI Presentation
- Boosting ROI Credibility
- ROI Calculation Sheet Template
Files
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# ROI Calculator — B2B Sales ROI Calculation Framework
A skill that enhances value proposition quantification for proposal-writer and presenter.
## Target Agents
- **proposal-writer** — Includes persuasive ROI in the proposal
- **presenter** — Constructs ROI visualization materials for the presentation
## ROI Calculation Formulas
### Basic ROI
```sales-enablement
When your agent uses it
A full B2B sales enablement pipeline. An agent team collaborates to produce customer analysis, customized proposals, presentations, and follow-up plans. Use this skill for 'create a sales proposal,' 'analyze a customer,' 'write a proposal,' 'build a sales presentation,' 'follow-up plan,' 'sales materials,' 'sales strategy,' 'customer proposal,' and 'B2B proposal' — across the full spectrum of sales enablement. It also supports supplementing and extending existing customer analyses or proposals. Note: CRM system implementation, real-time pipeline dashboards, contract legal review, and actual email sending are outside the scope of this skill.
What it loads into context
Frontmatter
140 tokensAlways available to the agent
SKILL.md
1,572 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Execution Modes by Request Scope
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# Sales Enablement — Full Sales Enablement Pipeline
An agent team collaborates to generate the full B2B sales pipeline in one pass: Customer Analysis → Proposal → Presentation → Follow-up.
## Execution Mode
**Agent Team** — 5 agents communicate directly via SendMessage and cross-verify each other's work.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| customer-analyst | `.claude/agents/customer-analyst.md` | Customer profiling, needs, DMU analysis | general-purpose |
| proposal-writer | `.claude/agents/proposal-writer.md` | Customized proposal, ROI, pricing design | general-purpose |csat-analyzer
When your agent uses it
A methodology for systematically designing and analyzing customer satisfaction metrics (CSAT/NPS/CES). Use this skill for 'CSAT analysis', 'NPS design', 'CES measurement', 'CS metrics', 'customer satisfaction system', 'VOC analysis', and other CS performance measurement needs. However, actual survey distribution and statistical software execution are outside the scope of this skill.
What it loads into context
Frontmatter
83 tokensAlways available to the agent
SKILL.md
1,172 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- 3 Core CS Metrics
- Operational Metrics
- VOC (Voice of Customer) Analysis Framework
- CS Dashboard Design
- Improvement Framework
Files
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# CSAT Analyzer — Customer Satisfaction Metric Design + Analysis
A skill that enhances the CS performance measurement capabilities of cs-analyst.
## Target Agents
- **cs-analyst** — Designs and analyzes CS metric systems
- **cs-reviewer** — Validates CS quality based on metrics
## 3 Core CS Metrics
### CSAT (Customer Satisfaction Score)
```customer-support
When your agent uses it
A full pipeline that systematizes a customer support system into FAQ, response manual, escalation policy, and CS analytics framework. Use this skill for requests like 'build a customer support system', 'write FAQs', 'response manual', 'CS manual', 'escalation policy', 'customer response scripts', 'complaint handling', 'customer complaint processing', 'CS operations system', 'customer service process', and other customer support system building needs. Also supports supplementing and improving existing FAQs or manuals. However, CRM/helpdesk software development, call center infrastructure setup, real-time chatbot development, and agent recruitment are outside the scope of this skill.
What it loads into context
Frontmatter
137 tokensAlways available to the agent
SKILL.md
1,591 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Execution Modes by Request Scale
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# Customer Support — Customer Support System Building Pipeline
An agent team collaborates to generate FAQ, response manual, escalation policy, and analytics all at once.
## Execution Mode
**Agent Team** — 5 members communicate directly via SendMessage and perform cross-validation.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| faq-builder | `.claude/agents/faq-builder.md` | FAQ construction, search optimization | general-purpose |
| response-specialist | `.claude/agents/response-specialist.md` | Response scripts, tone & manner | general-purpose |escalation-flowchart
When your agent uses it
A methodology for systematically designing escalation tiers and defining SLAs. Use this skill for 'escalation design', 'SLA definition', 'issue severity classification', 'crisis response protocol', 'support routing', and other escalation system design needs. However, CRM system configuration and call center routing implementation are outside the scope of this skill.
What it loads into context
Frontmatter
76 tokensAlways available to the agent
SKILL.md
1,261 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- 3-Tier Escalation Structure
- Issue Severity Classification
- Escalation Trigger Conditions
- Escalation Process Flow
- SLA Matrix Template
- Crisis Response Protocol (SEV-1)
Files
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# Escalation Flowchart — Escalation Design Methodology
A skill that enhances the escalation policy design capabilities of escalation-manager.
## Target Agents
- **escalation-manager** — Designs systematic escalation policies
- **response-specialist** — Reflects escalation trigger conditions in responses
## 3-Tier Escalation Structure
### L1: Frontline (First Response)
```price-elasticity-calculator
When your agent uses it
A methodology for calculating price elasticity and deriving optimal pricing. Use this skill for 'price elasticity', 'demand elasticity', 'price change impact', 'optimal price derivation', 'price increase simulation', and other price change analysis needs. However, econometric model construction and real-time dynamic pricing engines are outside the scope of this skill.
What it loads into context
Frontmatter
79 tokensAlways available to the agent
SKILL.md
1,550 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- Price Elasticity Core Formulas
- Industry Elasticity Benchmarks
- Optimal Price Derivation
- Price Change Simulation
- Price Increase Execution Strategy
- Price War Response
Files
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# Price Elasticity Calculator — Price Elasticity Analysis + Optimal Pricing
A skill that enhances the pricing analysis capabilities of pricing-simulator and competitive-analyst.
## Target Agents
- **pricing-simulator** — Quantitatively analyzes the impact of price change scenarios
- **competitive-analyst** — Analyzes cross-price elasticity of competitor price changes
## Price Elasticity Core Formulas
### Price Elasticity of Demand (PED)
```pricing-strategy
When your agent uses it
A full pipeline that systematizes product/service pricing strategy through cost analysis, competitive pricing, value-based pricing, and simulation. Use this skill for requests like 'build a pricing strategy', 'set the price', 'pricing strategy', 'cost analysis', 'competitive pricing research', 'pricing simulation', 'pricing model design', 'create a pricing plan', 'SaaS pricing', 'subscription model design', and other pricing strategy needs. Also supports analysis and optimization when existing cost data or pricing information is available. However, accounting ledger preparation, tax calculations, payment system development, and real-time dynamic pricing engine construction are outside the scope of this skill.
What it loads into context
Frontmatter
139 tokensAlways available to the agent
SKILL.md
1,612 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Execution Modes by Request Scale
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
skill.mdcore7,122 bytes
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# Pricing Strategy — Pricing Strategy Full Pipeline
An agent team collaborates to derive optimal pricing through cost, competitive, value, and simulation analysis.
## Execution Mode
**Agent Team** — 5 members communicate directly via SendMessage and perform cross-validation.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| cost-analyst | `.claude/agents/cost-analyst.md` | Cost structure, BEP, margin | general-purpose |
| competitive-analyst | `.claude/agents/competitive-analyst.md` | Competitive pricing, positioning | general-purpose |psm-analyzer
When your agent uses it
A Van Westendorp PSM (Price Sensitivity Meter) methodology for price sensitivity analysis. Use this skill for 'PSM analysis', 'price sensitivity', 'Van Westendorp', 'optimal price', 'price acceptance range', 'willingness to pay analysis', and other price sensitivity research needs. However, actual survey execution and statistical software operation are outside the scope of this skill.
What it loads into context
Frontmatter
89 tokensAlways available to the agent
SKILL.md
1,278 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- Van Westendorp PSM 4 Core Questions
- PSM Analysis Method
- Gabor-Granger Supplementary Analysis
- Segment-Based PSM Analysis
- Pricing Structure Design Integration
- PSM Report Template
Files
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# PSM Analyzer — Van Westendorp Price Sensitivity Analysis
A skill that enhances the pricing capabilities of value-assessor and pricing-simulator.
## Target Agents
- **value-assessor** — Systematically analyzes WTP (willingness to pay)
- **pricing-simulator** — Incorporates PSM results into simulations
## Van Westendorp PSM 4 Core Questions
```
Q1: "At what price would you consider the product too cheap, making you question its quality?"
→ Too Cheap (TC) curvefinancial-ratio-analyzer
When your agent uses it
A specialized skill that deepens financial ratio analysis for investor report writing. Provides the financial-analyst agent with a systematic ratio analysis framework when analyzing P&L, cash flow, and financial metrics. Automatically applied in contexts such as 'financial ratio analysis', 'profitability metrics', 'liquidity analysis', 'leverage ratios', 'DuPont analysis'. However, providing audit opinions or GAAP/IFRS conversion work are outside the scope of this skill.
What it loads into context
Frontmatter
104 tokensAlways available to the agent
SKILL.md
1,274 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agent
- 5 Financial Ratio Categories
- DuPont Analysis Framework
- SaaS-Specific Metrics
- Ratios to Emphasize by Investor Type
- Analysis Report Writing Principles
Files
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# Financial Ratio Analyzer — Financial Ratio Deep Analysis Tool
A specialized skill that enhances the financial analysis capabilities of the financial-analyst agent.
## Target Agent
- **financial-analyst** — Uses this skill's framework during financial ratio analysis
## 5 Financial Ratio Categories
### 1. Profitability Ratios
| Ratio | Formula | Interpretation Criteria | Industry Benchmarks |
|-------|---------|------------------------|---------------------|investor-report
When your agent uses it
A full pipeline that systematizes investor reports into financial performance analysis, KPI dashboard, market trends, strategy updates, and risk disclosures. Use this skill for requests like 'create an investor report', 'IR report', 'quarterly report', 'shareholder report', 'earnings report', 'investor update', 'KPI dashboard', 'financial analysis report', 'business report', 'management performance', and other investor communication needs. Also supports analysis and report generation when existing financial data or KPIs are available. However, accounting audits, statutory disclosure documents, securities filings, and stock issuance operations are outside the scope of this skill.
What it loads into context
Frontmatter
135 tokensAlways available to the agent
SKILL.md
1,594 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Execution Modes by Request Scale
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
skill.mdcore6,911 bytesskill.mdcore6,911 bytes
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# Investor Report — Investor Report Full Pipeline
An agent team collaborates to generate financial, KPI, market, strategy, and risk sections all at once.
## Execution Mode
**Agent Team** — 5 members communicate directly via SendMessage and perform cross-validation.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| financial-analyst | `.claude/agents/financial-analyst.md` | P&L, cash flow, financial metrics | general-purpose |
| kpi-designer | `.claude/agents/kpi-designer.md` | KPI selection, trends, benchmarks | general-purpose |ir-narrative-builder
When your agent uses it
A skill that professionally supports investor report narrative construction. Used by strategy-updater and ir-reviewer when designing the tone, structure, and storyline of investor communications. Automatically applied in contexts such as 'investor narrative', 'equity story', 'IR message', 'strategy update story'. However, drafting statutory disclosure text or writing brokerage reports are outside the scope of this skill.
What it loads into context
Frontmatter
86 tokensAlways available to the agent
SKILL.md
760 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- Equity Story 5-Stage Framework
- Narrative Tone by Investor Type
- EBITDA Bridge Construction
- Narrative Quality Checklist (for ir-reviewer)
- Risk Disclosure 3-Level Matrix
Files
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# IR Narrative Builder — Investor Communication Narrative Construction Tool
A specialized skill that enhances the investor narrative capabilities of strategy-updater and ir-reviewer agents.
## Target Agents
- **strategy-updater** — Equity Story construction, strategy narrative writing
- **ir-reviewer** — Narrative consistency verification, investor-type-specific tone review
## Equity Story 5-Stage Framework
```
1. WHY NOW — Why this market right now (market opportunity)
2. WHY US — Why us (competitive advantage)kpi-benchmark-engine
When your agent uses it
A specialized skill providing industry-specific benchmark data and KPI selection frameworks for KPI dashboard design. Used by the kpi-designer agent when selecting key metrics and setting benchmarks. Automatically applied in contexts such as 'KPI benchmarks', 'key metric selection', 'performance indicators', 'OKR metrics', 'industry KPIs'. However, actual BI tool (Tableau, Power BI) dashboard implementation and real-time data pipeline construction are outside the scope of this skill.
What it loads into context
Frontmatter
102 tokensAlways available to the agent
SKILL.md
1,012 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agent
- KPI Selection Framework: SMART-R
- Industry-Specific Core KPI Benchmarks
- KPI Pyramid Structure
- Visualization Format Recommendations
- Benchmark Sourcing and Reliability
Files
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# KPI Benchmark Engine — KPI Benchmark and Selection Framework
A specialized skill that enhances the KPI design capabilities of the kpi-designer agent.
## Target Agent
- **kpi-designer** — Used for KPI selection, benchmark setting, and dashboard composition
## KPI Selection Framework: SMART-R
| Criterion | Description | Validation Question |
|-----------|------------|---------------------|
| **S**pecific | Specifically defined | "What is the exact formula for this KPI?" |
| **M**easurable | Quantitatively measurable | "Where is the data source?" |decision-trigger-mapper
When your agent uses it
A specialized skill for designing decision trigger maps and strategy option portfolios within scenario response strategies. Used by the strategy-architect agent when converting robust/hedge/option strategies into concrete execution plans. Automatically applied in contexts such as 'decision triggers', 'strategy options', 'execution roadmap', 'trigger map', 'hedge strategy'. However, actual project management tool (Jira, Asana) integration and budget execution approval are outside the scope of this skill.
What it loads into context
Frontmatter
101 tokensAlways available to the agent
SKILL.md
1,028 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agent
- Strategy Type Classification System
- Decision Trigger Map Design
- Real Options Thinking Framework
- Execution Roadmap Integration
Files
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# Decision Trigger Mapper — Decision Trigger Map Design Tool
A specialized skill that enhances the strategy execution design capabilities of the strategy-architect agent.
## Target Agent
- **strategy-architect** — Response strategy development, decision trigger design
## Strategy Type Classification System
### 3-Tier Strategy Portfolio
| Type | Definition | Execution Condition | Investment Level |
|------|-----------|--------------------|----|scenario-narrative-engine
When your agent uses it
A specialized skill for vividly constructing each scenario's narrative and designing timelines and early warning signals during scenario design. Used by the scenario-designer agent when narrativizing 2x2 matrix-based scenarios. Automatically applied in contexts such as 'scenario narrative', 'scenario story', 'timeline', 'early warning signals', 'early warning'. However, fictional novel writing or movie screenplay creation are outside the scope of this skill.
What it loads into context
Frontmatter
94 tokensAlways available to the agent
SKILL.md
1,028 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agent
- 2x2 Scenario Matrix Construction Method
- Scenario Narrative Writing Template
- Early Warning Signal Design Framework
- Cross-Scenario Analysis
Files
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# Scenario Narrative Engine — Scenario Narrative Construction Tool
A specialized skill that enhances the scenario narrative construction capabilities of the scenario-designer agent.
## Target Agent
- **scenario-designer** — 2x2 matrix scenario narrativization, timeline design
## 2x2 Scenario Matrix Construction Method
### Basic Structure
```
Axis A: [Variable] Highscenario-planner
When your agent uses it
A scenario planning full pipeline. An agent team collaborates to generate key variable definition, scenario matrix construction, impact analysis, response strategy, and decision documents. Use this skill for requests like 'scenario analysis', 'future scenarios', 'scenario planning', 'strategic scenarios', 'uncertainty analysis', 'plan scenarios for me', 'scenario matrix', 'response strategy development', 'decision support', and other scenario-based strategic planning needs. Also supports partial pipelines when existing analysis materials are available. However, real-time data collection system construction, enterprise risk management (ERM) software integration, and Monte Carlo simulation code execution are outside the scope of this skill.
What it loads into context
Frontmatter
139 tokensAlways available to the agent
SKILL.md
1,440 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Execution Modes by Request Scale
- Data Transfer Protocol
- Error Handling
- Agent Extension Skills
Files
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# Scenario Planner — Scenario Planning Full Pipeline
An agent team collaborates to generate key variable definition, scenario matrix, impact analysis, response strategy, and decision documents.
## Execution Mode
**Agent Team** — 5 members communicate directly via SendMessage and perform cross-validation.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| variable-analyst | `.claude/agents/variable-analyst.md` | Key variable identification, STEEP analysis, scenario axis determination | general-purpose |
| scenario-designer | `.claude/agents/scenario-designer.md` | 2x2 matrix, scenario narratives, early warning signals | general-purpose |steep-framework
When your agent uses it
A STEEP macro-environment analysis methodology for systematic identification of scenario planning variables. Used by the variable-analyst agent for comprehensive environmental scanning. Automatically applied in contexts such as 'STEEP analysis', 'macro-environment analysis', 'environmental scanning', 'driving forces', 'megatrends'. However, real-time data collection and econometric model construction are outside the scope of this skill.
What it loads into context
Frontmatter
88 tokensAlways available to the agent
SKILL.md
748 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agent
- STEEP 6-Dimension Scanning
- Uncertainty-Impact Matrix
- Trend Classification
Files
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# STEEP Framework — Macro-Environment Analysis Tool
A specialized skill that enhances the environmental scanning capabilities of the variable-analyst agent.
## Target Agent
- **variable-analyst** — Systematic identification of key variables using the STEEP framework
## STEEP 6-Dimension Scanning
### Dimension Definitions
| Dimension | Scope | Example Variables |
|-----------|-------|-------------------|dcf-valuation
When your agent uses it
A specialized skill providing detailed DCF (Discounted Cash Flow) valuation methodology and practical guidelines. Used by the valuation-expert agent for WACC calculation, FCF estimation, and terminal value computation when calculating enterprise value. Automatically applied in contexts such as 'DCF analysis', 'discounted cash flow', 'WACC calculation', 'enterprise valuation', 'terminal value'. However, real-time market data retrieval and actual transaction advisory are outside the scope of this skill.
What it loads into context
Frontmatter
102 tokensAlways available to the agent
SKILL.md
1,222 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agent
- DCF Model Construction Process
- DCF Quality Validation Checklist
- Startup/High-Growth Company DCF Adjustments
- Multiples Valuation (Cross-check)
Files
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# DCF Valuation — Discounted Cash Flow Valuation Methodology
A specialized skill that enhances the DCF analysis capabilities of the valuation-expert agent.
## Target Agent
- **valuation-expert** — DCF model construction, WACC calculation, terminal value computation
## DCF Model Construction Process
### Step 1: FCFF (Free Cash Flow to Firm) Estimation
```
FCFF = EBIT x (1 - Tax Rate)financial-modeler
When your agent uses it
A financial modeling full pipeline. An agent team collaborates to generate revenue model, cost structure, scenario analysis, and valuation. Use this skill for requests like 'build a financial model', 'revenue forecast', 'cost analysis', 'valuation', 'enterprise valuation', 'DCF analysis', 'investment model', 'revenue modeling', 'P&L analysis', 'financial projection', and other financial modeling needs. Also supports partial analysis when existing financial data is available. However, actual accounting system integration, ERP data extraction, tax return preparation, and real-time stock price analysis are outside the scope of this skill.
What it loads into context
Frontmatter
131 tokensAlways available to the agent
SKILL.md
1,532 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Execution Modes by Request Scale
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# Financial Modeler — Financial Modeling Full Pipeline
An agent team collaborates to generate revenue model, cost structure, scenario analysis, and valuation.
## Execution Mode
**Agent Team** — 5 members communicate directly via SendMessage and perform cross-validation.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| revenue-modeler | `.claude/agents/revenue-modeler.md` | Revenue stream definition, revenue forecast, unit economics | general-purpose |
| cost-analyst | `.claude/agents/cost-analyst.md` | Cost classification, break-even analysis, margin analysis | general-purpose |sensitivity-analysis
When your agent uses it
A specialized skill providing sensitivity analysis and scenario table construction methodology for financial models. Used by the scenario-planner agent when designing Bear/Base/Bull scenarios and analyzing key variable impact. Automatically applied in contexts such as 'sensitivity analysis', 'scenario analysis', 'sensitivity table', 'tornado chart', 'Monte Carlo'. However, statistical software (R, Python) execution and real-time simulation are outside the scope of this skill.
What it loads into context
Frontmatter
94 tokensAlways available to the agent
SKILL.md
1,214 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agent
- 1-Way Sensitivity Analysis
- 2-Way Sensitivity Analysis (Data Table)
- 3-Scenario Analysis (Bear/Base/Bull)
- Break-Even Analysis
- Output Format Requirements
Files
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# Sensitivity Analysis — Sensitivity Analysis Methodology
A specialized skill that enhances the scenario analysis capabilities of the scenario-planner agent.
## Target Agent
- **scenario-planner** — Bear/Base/Bull scenarios, sensitivity table construction
## 1-Way Sensitivity Analysis
Vary one variable while holding all others constant and observe changes in the result.
### Tornado Chart Construction Method
unit-economics
When your agent uses it
A specialized skill providing a Unit Economics analysis framework. Used by the revenue-modeler agent when designing revenue models and calculating LTV, CAC, and contribution margin. Automatically applied in contexts such as 'unit economics', 'LTV/CAC', 'contribution margin', 'cohort analysis', 'payback period'. However, direct CRM data extraction and real-time customer analytics are outside the scope of this skill.
What it loads into context
Frontmatter
92 tokensAlways available to the agent
SKILL.md
1,292 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agent
- Core Unit Economics Metrics
- Contribution Margin Analysis
- Cohort Analysis Framework
- Bottom-Up Revenue Estimation
- Unit Economics Health Scorecard
Files
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# Unit Economics — Unit Economics Analysis Framework
A specialized skill that enhances the revenue model design capabilities of the revenue-modeler agent.
## Target Agent
- **revenue-modeler** — Revenue stream definition, unit economics, LTV/CAC analysis
## Core Unit Economics Metrics
### LTV (Customer Lifetime Value)
**Basic Formula:**
```budget-rule-engine
When your agent uses it
A specialized skill providing systematic government grant/funding budget preparation rules and per-category calculation standards. Used by the budget-designer agent when applying per-category ceilings, calculation basis writing methods, and settlement rules during budget preparation. Automatically applied in contexts such as 'budget preparation rules', 'per-category standards', 'budget ceilings', 'settlement guide', 'matching funds'. However, actual accounting processing and tax filing are outside the scope of this skill.
What it loads into context
Frontmatter
97 tokensAlways available to the agent
SKILL.md
1,136 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agent
- Government R&D Standard Budget Category System
- Labor Cost Calculation Standards
- Equipment & Materials Calculation Principles
- Budget Preparation Checklist
- Matching Fund (Institutional Contribution) Guide
- Budget Calculation Basis Writing Template
Files
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# Budget Rule Engine — Grant Budget Preparation Rules Engine
A specialized skill that enhances the budget preparation capabilities of the budget-designer agent.
## Target Agent
- **budget-designer** — Per-category budget calculation, compliance, settlement guide
## Government R&D Standard Budget Category System
### Direct Costs
| Category | Sub-Items | Ceiling Ratio | Calculation Basis |
|---------|-----------|---------------|-------------------|grant-writer
When your agent uses it
A grant/funding application full pipeline. An agent team collaborates to generate announcement analysis, business plan, budget, compliance verification, and submission checklist. Use this skill for requests like 'grant application', 'funding program business plan', 'government funding', 'grant proposal', 'write a business plan', 'budget preparation', 'funding program preparation', 'R&D project application', 'startup support program', 'small business support', and other grant/funding application needs. Also supports review of existing business plans. However, actual online system access and submission, supporting document issuance, and presentation coaching for reviewer panels are outside the scope of this skill.
What it loads into context
Frontmatter
139 tokensAlways available to the agent
SKILL.md
1,156 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Execution Modes by Request Scale
- Error Handling
- Agent Extension Skills
Files
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# Grant Writer — Grant/Funding Application Full Pipeline
An agent team collaborates to generate announcement analysis, business plan, budget, compliance verification, and submission checklist.
## Execution Mode
**Agent Team** — 5 members communicate directly via SendMessage and perform cross-validation.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| announcement-analyst | `.claude/agents/announcement-analyst.md` | Announcement analysis, evaluation criteria, key keywords | general-purpose |
| plan-writer | `.claude/agents/plan-writer.md` | Business plan writing, technical/business/execution capability | general-purpose |scoring-optimizer
When your agent uses it
A specialized skill for analyzing evaluation scores and developing optimization strategies for grant/funding applications. Used by compliance-checker and plan-writer agents when optimizing scores per evaluation criterion and preemptively preventing disqualification risks. Automatically applied in contexts such as 'score optimization', 'evaluation criteria analysis', 'bonus point strategy', 'disqualification prevention', 'review preparation'. However, actual reviewer contact and review result retrieval are outside the scope of this skill.
What it loads into context
Frontmatter
97 tokensAlways available to the agent
SKILL.md
1,103 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- Evaluation Score Analysis Framework
- High-Score Item Writing Strategies
- Disqualification Risk Checklist
- Score Simulation Tool
- Bonus Point Acquisition Guide
Files
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# Scoring Optimizer — Evaluation Score Optimization Tool
A specialized skill that enhances the score optimization capabilities of compliance-checker and plan-writer agents.
## Target Agents
- **compliance-checker** — Score analysis, disqualification risk assessment
- **plan-writer** — High-score item focused writing strategy
## Evaluation Score Analysis Framework
### Common Evaluation Structure (Government Funding Programs)
| Evaluation Area | Typical Score | Key Points |pricing-calculator
When your agent uses it
A specialized skill for systematically performing cost estimation, bidding strategy, and price simulation in RFP pricing proposals. Used by the pricing-strategist agent when calculating labor costs, expenses, and profit to determine optimal bid prices. Automatically applied in contexts such as 'cost estimation', 'bid price', 'pricing strategy', 'labor cost calculation', 'FP/MM rates'. However, real-time bidding participation or government procurement system operation are outside the scope of this skill.
What it loads into context
Frontmatter
100 tokensAlways available to the agent
SKILL.md
688 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agent
- Software Project Cost Estimation
- Bidding Strategy
- Cost Validation Checklist
Files
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# Pricing Calculator — RFP Pricing Calculation Tool
A specialized skill that enhances the pricing calculation capabilities of the pricing-strategist agent.
## Target Agent
- **pricing-strategist** — Cost estimation, bid price calculation, price simulation
## Software Project Cost Estimation
### Labor Cost Calculation
```
Labor Cost = Person-Months (MM) x Monthly Rate per Graderfp-responder
When your agent uses it
RFI/RFP response full pipeline. An agent team collaborates to generate requirements analysis, capability matching, technical proposal, pricing proposal, and differentiation strategy. Use this skill for requests like 'RFP response', 'write a proposal', 'RFP analysis', 'bid proposal', 'technical proposal', 'pricing proposal', 'public procurement bid', 'RFP response document', 'SI proposal', 'IT project bidding', and other RFP/RFI response needs. Also supports review of existing proposals. However, direct access to government procurement systems, real-time bid price retrieval, and electronic bidding participation are outside the scope of this skill.
What it loads into context
Frontmatter
137 tokensAlways available to the agent
SKILL.md
784 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Execution Modes by Request Scale
- Agent Extension Skills
Files
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# RFP Responder — RFI/RFP Response Full Pipeline
An agent team collaborates to generate requirements analysis, capability matching, technical proposal, pricing proposal, and differentiation strategy.
## Execution Mode
**Agent Team** — 5 members communicate directly via SendMessage and perform cross-validation.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| requirement-analyst | `.claude/agents/requirement-analyst.md` | RFP analysis, evaluation criteria, hidden needs | general-purpose |
| capability-matcher | `.claude/agents/capability-matcher.md` | Track record matching, team composition, gap analysis | general-purpose |win-theme-builder
When your agent uses it
A specialized skill for systematically building Win Themes and designing differentiation strategies in RFP responses. Used by capability-matcher and proposal-reviewer when mapping company strengths to RFP requirements and deriving persuasive Win Themes. Automatically applied in contexts such as 'Win Theme', 'differentiation strategy', 'strength mapping', 'competitive analysis', 'proposal strategy'. However, collecting competitor internal information or bid rigging are outside the scope of this skill.
What it loads into context
Frontmatter
96 tokensAlways available to the agent
SKILL.md
563 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- Win Theme Framework
- Competitive Analysis Matrix
- Differentiation Pyramid
Files
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# Win Theme Builder — Proposal Win Theme Construction Tool
A specialized skill that enhances Win Theme development capabilities for capability-matcher and proposal-reviewer agents.
## Target Agents
- **capability-matcher** — Strength mapping, differentiation point development
- **proposal-reviewer** — Win Theme consistency verification, competitive advantage assessment
## Win Theme Framework
### Win Theme Definition
A Win Theme is the core message that answers "Why should the issuer choose us?"
cefr-assessment
When your agent uses it
A specialized skill providing CEFR (Common European Framework of Reference) language proficiency assessment matrices and diagnostic tools. Used by the level-assessor agent for precise per-skill level diagnosis and learning gap analysis. Automatically applied in contexts such as 'CEFR level', 'level test', 'language proficiency assessment', 'A1-C2', 'per-skill diagnosis'. However, official exam certification issuance and formal CEFR certification are outside the scope of this skill.
What it loads into context
Frontmatter
101 tokensAlways available to the agent
SKILL.md
1,389 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agent
- CEFR 6-Level Descriptors (Can-Do Statements)
- Adaptive Diagnostic Test Design
- CEFR-to-Exam Mapping Table
- Learning Gap Analysis Report Structure
Files
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# CEFR Assessment — Language Proficiency Assessment Matrix
A specialized skill that enhances the level-assessor agent's diagnostic capabilities.
## Target Agent
- **level-assessor** — CEFR-based level diagnosis, skill-area strength/weakness analysis
## CEFR 6-Level Descriptors (Can-Do Statements)
### A1 (Beginner)
| Skill Area | Can-Do Statement |
|------------|-----------------|language-tutor
When your agent uses it
A foreign language learning full pipeline. An agent team collaborates to provide level testing, curriculum design, lesson generation, quizzes, and review management. Use this skill for requests like 'study English', 'learn Japanese', 'learn a foreign language', 'language learning', 'English grammar', 'conversation practice', 'level test', 'vocabulary memorization', 'self-study English', 'beginner Chinese', 'TOEIC preparation', 'English conversation', and other foreign language learning needs. Also supports learning specific skill areas only. However, real-time voice conversation (STT/TTS), native speaker matching, and taking official exams on behalf of the learner are outside the scope of this skill.
What it loads into context
Frontmatter
148 tokensAlways available to the agent
SKILL.md
1,673 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Roster
- Workflow
- Task-Scale Modes
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# Language Tutor — Foreign Language Learning Full Pipeline
An agent team collaborates to deliver level testing, curriculum design, lesson generation, quiz creation, and review management.
## Execution Mode
**Agent Team** — 5 agents communicate directly via SendMessage and cross-verify each other's work.
## Agent Roster
| Agent | File | Role | Type |
|-------|------|------|------|
| level-assessor | `.claude/agents/level-assessor.md` | CEFR-based level diagnosis, skill-area strength/weakness analysis | general-purpose |
| curriculum-designer | `.claude/agents/curriculum-designer.md` | Customized curriculum, weekly plans, learning strategies | general-purpose |spaced-repetition
When your agent uses it
A specialized skill for designing vocabulary and grammar review schedules using Spaced Repetition algorithms. Used by the review-coach agent to calculate optimal review intervals based on the Ebbinghaus forgetting curve and maximize long-term memory conversion rates. Automatically applied in contexts such as 'spaced repetition', 'Ebbinghaus', 'review schedule', 'forgetting curve', 'SRS', 'Anki method'. However, external app integration (Anki/Quizlet) and real-time notification system construction are outside the scope of this skill.
What it loads into context
Frontmatter
116 tokensAlways available to the agent
SKILL.md
1,060 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agent
- Ebbinghaus Forgetting Curve-Based Review Intervals
- Vocabulary Category-Specific Review Strategies
- Review Session Design Principles
- Memory Enhancement Techniques (Applied During Review)
Files
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# Spaced Repetition — Spaced Repetition Algorithm Tool
A specialized skill that enhances the review-coach agent's review design capabilities.
## Target Agent
- **review-coach** — Review scheduling, weakness reinforcement, long-term memory retention
## Ebbinghaus Forgetting Curve-Based Review Intervals
### Base Review Intervals (SM-2 Algorithm Variant)
| Review Round | Interval | Retention Target | Action |
|-------------|----------|-----------------|--------|bloom-taxonomy-engine
When your agent uses it
A specialized skill for question design and learning level analysis using Bloom's Taxonomy of Educational Objectives. Used by examiner and learning-designer agents when creating questions at various cognitive levels and hierarchizing learning objectives. Automatically applied in contexts such as 'Bloom's Taxonomy', 'cognitive levels', 'question design', 'learning objective classification', 'higher-order thinking'. However, official curriculum certification and school curriculum planning are outside the scope of this skill.
What it loads into context
Frontmatter
99 tokensAlways available to the agent
SKILL.md
1,102 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- Bloom's Cognitive Domain — 6 Levels
- Per-Level Question Design Guide
- Bloom Distribution Guide by Exam Type
- Learning Activity Design (for learning-designer)
- Question Quality Verification Checklist
Files
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# Bloom Taxonomy Engine — Cognitive-Level Question Design Tool
A specialized skill that enhances the examiner and learning-designer agents' question design capabilities.
## Target Agents
- **examiner** — Cognitive-level question creation, difficulty balancing
- **learning-designer** — Learning objective hierarchization, level-appropriate activity design
## Bloom's Cognitive Domain — 6 Levels
### Revised Bloom's Taxonomy (Anderson & Krathwohl, 2001)
| Level | Cognitive Level | Definition | Key Verbs |error-pattern-analyzer
When your agent uses it
A specialized skill for systematically classifying error patterns and constructing concept deficit maps. Used by error-analyst and diagnostician agents when analyzing learner error data to diagnose root causes and develop customized remediation strategies. Automatically applied in contexts such as 'error patterns', 'wrong answer analysis', 'concept deficits', 'weakness analysis', 'error types'. However, psychological testing and learning disability diagnosis are outside the scope of this skill.
What it loads into context
Frontmatter
94 tokensAlways available to the agent
SKILL.md
956 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- 5-Type Error Classification System
- Error Analysis Report Template
- Concept Deficit Tracking Matrix
- Error Pattern Characteristics by Exam Type
Files
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# Error Pattern Analyzer — Error Pattern Analysis Tool
A specialized skill that enhances the error-analyst and diagnostician agents' error analysis capabilities.
## Target Agents
- **error-analyst** — Error pattern classification, remediation strategy formulation
- **diagnostician** — Weakness identification, concept deficit diagnosis
## 5-Type Error Classification System
### Type 1: Conceptual Gap
**Definition:** The core concept is not understood or is misunderstoodexam-prep
When your agent uses it
An exam preparation full pipeline. An agent team collaborates to perform trend analysis, weakness diagnosis, customized study planning, mock exam creation, and error analysis. Use this skill for requests like 'help me prepare for an exam', 'create a mock exam', 'analyze past exams', 'diagnose weaknesses', 'error analysis', 'college entrance prep', 'certification exam', 'civil service exam', 'TOEIC prep', 'create a study plan', and other exam preparation needs. Existing score reports or error data can be used to augment the diagnostic phase. However, actual exam registration/payment, academy recommendations, and live lecture delivery are outside the scope of this skill.
What it loads into context
Frontmatter
145 tokensAlways available to the agent
SKILL.md
1,718 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Roster
- Workflow
- Task-Scale Modes
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# Exam Prep — Exam Preparation Full Pipeline
An agent team collaborates to perform trend analysis, weakness diagnosis, customized study planning, mock exam creation, and error analysis.
## Execution Mode
**Agent Team** — 5 agents communicate directly via SendMessage and cross-verify each other's work.
## Agent Roster
| Agent | File | Role | Type |
|-------|------|------|------|
| trend-analyst | `.claude/agents/trend-analyst.md` | Exam trend analysis, frequently tested area identification | general-purpose |
| diagnostician | `.claude/agents/diagnostician.md` | Weakness diagnosis, vulnerability identification | general-purpose |academic-writing-style
When your agent uses it
A specialized skill that systematically guides academic thesis style, structure, and citation rules. Used by writing-coach and proofreader agents to improve academic writing quality and verify format compliance. Automatically applied in contexts such as 'academic style', 'thesis structure', 'citation format', 'APA style', 'argumentation structure', 'scholarly expression'. However, running plagiarism detection software (Turnitin) and journal submission on behalf of the user are outside the scope of this skill.
What it loads into context
Frontmatter
104 tokensAlways available to the agent
SKILL.md
1,218 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- Per-Chapter Thesis Structure and Writing Guide
- Academic Style Rules
- Citation Format (APA 7th Focus)
- Proofreading Checklist (for proofreader)
Files
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# Academic Writing Style — Academic Thesis Writing Style Guide
A specialized skill that enhances the writing-coach and proofreader agents' academic writing capabilities.
## Target Agents
- **writing-coach** — Thesis structure design, draft writing
- **proofreader** — Style verification, format consistency checking
## Per-Chapter Thesis Structure and Writing Guide
### Chapter 1: Introduction
| Component | Purpose | Length Guideline |research-methodology
When your agent uses it
A specialized skill providing a detailed framework for academic research methodology design. Used by the methodology-expert agent when designing quantitative, qualitative, or mixed-methods research and selecting samples, instruments, and analysis methods. Automatically applied in contexts such as 'research methodology', 'research design', 'sample design', 'measurement instruments', 'validity and reliability', 'statistical analysis methods'. However, running statistical software (SPSS, R) directly and filing IRB applications are outside the scope of this skill.
What it loads into context
Frontmatter
109 tokensAlways available to the agent
SKILL.md
1,215 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agent
- Research Design Type Selection Matrix
- Sample Design
- Measurement Instrument Validity and Reliability
- Analysis Method Selection Guide
Files
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# Research Methodology — Research Methodology Design Framework
A specialized skill that enhances the methodology-expert agent's research design capabilities.
## Target Agent
- **methodology-expert** — Research design, sample, instrument, and analysis method selection
## Research Design Type Selection Matrix
### Research Question -> Design Type Mapping
| Research Question Type | Suitable Design | Data Type |
|-----------------------|----------------|-----------|thesis-advisor
When your agent uses it
A thesis writing support full pipeline. An agent team collaborates to perform topic selection, literature review, methodology design, writing, and proofreading. Use this skill for requests like 'help with my thesis', 'find a research topic', 'literature review', 'methodology design', 'write my thesis', 'proofread my thesis', 'dissertation', 'journal submission', 'research design', and other academic thesis writing needs. Existing manuscripts or reference lists can augment the relevant phase. However, actual data collection/analysis execution, statistical software operation, and journal submission system operation are outside the scope of this skill.
What it loads into context
Frontmatter
132 tokensAlways available to the agent
SKILL.md
1,523 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Roster
- Workflow
- Task-Scale Modes
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# Thesis Advisor — Thesis Writing Support Full Pipeline
An agent team collaborates to perform topic selection, literature review, methodology design, writing, and proofreading.
## Execution Mode
**Agent Team** — 5 agents communicate directly via SendMessage and cross-verify each other's work.
## Agent Roster
| Agent | File | Role | Type |
|-------|------|------|------|
| topic-explorer | `.claude/agents/topic-explorer.md` | Topic exploration, research question formulation | general-purpose |
| literature-analyst | `.claude/agents/literature-analyst.md` | Literature survey, critical review | general-purpose |code-kata-generator
When your agent uses it
A specialized skill for systematically designing coding practice exercises (Code Kata). Used by the exercise-creator agent to create difficulty-tiered, concept-specific coding exercises with test cases and model solutions. Automatically applied in contexts such as 'coding exercises', 'algorithm problems', 'practice problems', 'kata', 'coding tests', 'programming practice'. However, online judge system integration (LeetCode, HackerRank) and automated grading infrastructure are outside the scope of this skill.
What it loads into context
Frontmatter
103 tokensAlways available to the agent
SKILL.md
1,102 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agent
- Exercise Difficulty System
- Exercise Template
- Concept-to-Exercise Map
- Test Case Design Principles
- Exercise Sequencing Principles
Files
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# Code Kata Generator — Coding Exercise Design Tool
A specialized skill that enhances the exercise-creator agent's exercise creation capabilities.
## Target Agent
- **exercise-creator** — Difficulty-tiered exercises, test cases, model solutions
## Exercise Difficulty System
### 5-Tier Difficulty Classification
| Tier | Name | Concepts | Est. Solving Time | Target Phase |
|------|------|----------|-------------------|-------------|coding-bootcamp
When your agent uses it
A coding education full pipeline. An agent team collaborates to deliver curriculum design, hands-on exercises, code review, projects, and portfolio building. Use this skill for requests like 'I want to learn coding', 'I want to become a developer', 'programming curriculum', 'coding exercises', 'review my code', 'build a portfolio', 'developer job prep', 'bootcamp', 'project planning', 'tech interview prep', and other coding education needs. Existing code or study history can augment the relevant phase. However, live video lectures, paid learning platform account management, and actual deployment infrastructure setup are outside the scope of this skill.
What it loads into context
Frontmatter
139 tokensAlways available to the agent
SKILL.md
1,414 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Roster
- Workflow
- Task-Scale Modes
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# Coding Bootcamp — Coding Education Full Pipeline
An agent team collaborates to deliver curriculum design, exercises, code review, projects, and portfolio building.
## Execution Mode
**Agent Team** — 4 agents communicate directly via SendMessage and collaborate.
## Agent Roster
| Agent | File | Role | Type |
|-------|------|------|------|
| curriculum-designer | `.claude/agents/curriculum-designer.md` | Curriculum design, tech stack selection | general-purpose |
| exercise-creator | `.claude/agents/exercise-creator.md` | Exercise creation, test cases | general-purpose |tech-interview-prep
When your agent uses it
A specialized skill for systematically supporting developer technical interview preparation. Used by the mentor agent to prepare portfolio-based interview strategies, system design interviews, and behavioral interviews (STAR). Automatically applied in contexts such as 'technical interview', 'coding interview', 'system design', 'STAR interview', 'behavioral interview', 'developer interview prep'. However, conducting live mock interviews and providing company internal information are outside the scope of this skill.
What it loads into context
Frontmatter
95 tokensAlways available to the agent
SKILL.md
1,063 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agent
- Three Pillars of Technical Interviews
- Portfolio-to-Interview Connection Strategy
- Interview Preparation Checklist
Files
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# Tech Interview Prep — Developer Technical Interview Preparation Tool
A specialized skill that enhances the mentor agent's interview preparation support capabilities.
## Target Agent
- **mentor** — Project design, portfolio, career coaching
## Three Pillars of Technical Interviews
### 1. Coding Interview
#### Key Topics and Frequency
argumentation-framework
When your agent uses it
A specialized skill that systematically provides the Toulmin argument model, evidence type classification, and rebuttal strategies for debate argumentation. Used by pro-debater and con-debater agents to construct robust arguments and effectively rebut opposing claims. Automatically applied in contexts such as 'argumentation structure', 'Toulmin model', 'argument construction', 'rebuttal strategy', 'evidence types', 'argument strengthening'. However, legal advocacy and academic paper argumentation structure are outside the scope of this skill.
What it loads into context
Frontmatter
110 tokensAlways available to the agent
SKILL.md
1,129 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- Toulmin Argument Model
- Argument Types (Appeal Types)
- Evidence Types and Strength
- 5-Type Rebuttal Strategies
- Cross-Examination Question Design
- Argument Strength Self-Assessment Matrix
Files
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# Argumentation Framework — Argument Construction Framework
A specialized skill that enhances the pro-debater and con-debater agents' argumentation capabilities.
## Target Agents
- **pro-debater** — Pro argument construction, rebuttal preparation
- **con-debater** — Con argument construction, alternative proposals
## Toulmin Argument Model
### 6-Element Structure
```debate-simulator
When your agent uses it
A debate simulation full pipeline. An agent team collaborates to perform topic analysis, pro argument construction, con argument construction, cross-examination, judge evaluation, and comprehensive report writing. Use this skill for requests like 'run a debate simulation', 'build pro and con arguments', 'debate', 'debate preparation', 'argument analysis', 'pro vs con', 'debate topic analysis', 'cross-examination practice', 'debate competition prep', and other debate-related needs. Existing arguments or debate materials can augment the relevant phase. However, live voice debate facilitation and audience voting system operation are outside the scope of this skill.
What it loads into context
Frontmatter
137 tokensAlways available to the agent
SKILL.md
1,620 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Roster
- Workflow
- Task-Scale Modes
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# Debate Simulator — Debate Simulation Full Pipeline
An agent team collaborates to perform topic analysis, pro/con argument construction, cross-examination, judge evaluation, and comprehensive report writing.
## Execution Mode
**Agent Team** — 5 agents communicate directly via SendMessage and simulate an actual debate.
## Agent Roster
| Agent | File | Role | Type |
|-------|------|------|------|
| topic-analyst | `.claude/agents/topic-analyst.md` | Topic analysis, issue structuring | general-purpose |
| pro-debater | `.claude/agents/pro-debater.md` | Pro-side argument construction | general-purpose |logical-fallacy-detector
When your agent uses it
A specialized skill for identifying and correcting logical fallacies in debates. Used by judge and rapporteur agents to evaluate the logical soundness of both sides' arguments and point out errors. Automatically applied in contexts such as 'logical fallacy', 'fallacy detection', 'sophistry', 'argument evaluation', 'logic verification'. However, formal logic theorem proving and mathematical logic verification are outside the scope of this skill.
What it loads into context
Frontmatter
95 tokensAlways available to the agent
SKILL.md
1,083 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- Major Logical Fallacy Classification
- Judge Evaluation Rubric (Logic Quality)
- Fallacy Identification Expression Guide (for judge)
Files
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# Logical Fallacy Detector — Logical Fallacy Detection Tool
A specialized skill that enhances the judge and rapporteur agents' argument evaluation capabilities.
## Target Agents
- **judge** — Argument evaluation, logical fallacy identification
- **rapporteur** — Include logic quality analysis in comprehensive reports
## Major Logical Fallacy Classification
### A. Relevance Fallacies
| Fallacy | Definition | Debate Example | How to Call It Out |bars-assessment
When your agent uses it
Specialized skill for designing BARS (Behaviorally Anchored Rating Scale) assessment tools. Used by the rubric-designer agent when defining behavioral anchors per competency and designing BEI questions and SJT items. Automatically applied in contexts involving 'BARS,' 'behavioral rating scale,' 'BEI interview,' 'SJT,' 'assessment center,' or 'behavioral anchors.' Actual assessment execution or psychometric validation (factor analysis) is outside the scope of this skill.
What it loads into context
Frontmatter
103 tokensAlways available to the agent
SKILL.md
1,084 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agent
- BARS (Behaviorally Anchored Rating Scale) Design
- BEI (Behavioral Event Interview) Question Design
- SJT (Situational Judgment Test) Item Design
- Assessment Method Comparison
Files
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# BARS Assessment — Behaviorally Anchored Rating Scale Design Tool
A specialized skill that enhances the rubric-designer agent's assessment tool design capabilities.
## Target Agent
- **rubric-designer** — BARS scoring guides, BEI questions, SJT item design
## BARS (Behaviorally Anchored Rating Scale) Design
### BARS Components
```
Competency: [Competency Name]competency-modeler
When your agent uses it
Comprehensive competency modeling pipeline. An agent team collaborates to execute the full workflow: job analysis, competency dictionary creation, assessment rubric design, development plan formulation, and competency matrix construction. Use this skill for requests such as 'build a competency model,' 'job analysis,' 'competency dictionary,' 'assessment rubric,' 'competency development plan,' 'competency matrix,' 'KSA analysis,' 'job description,' 'behavioral indicators,' or 'competency assessment.' If existing job descriptions or competency data are provided, the corresponding phase is augmented. Note: integration with actual HR systems (SAP HR, Workday), compensation structure design, and legal HR advisory are outside the scope of this skill.
What it loads into context
Frontmatter
149 tokensAlways available to the agent
SKILL.md
1,582 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Execution Modes by Request Scope
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# Competency Modeler — Comprehensive Competency Modeling Pipeline
An agent team collaborates to execute the full workflow: job analysis, competency dictionary, assessment rubric, development plan, and competency matrix.
## Execution Mode
**Agent Team** — Four agents communicate directly via SendMessage and perform cross-validation.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| job-analyst | `.claude/agents/job-analyst.md` | Job analysis, KSA extraction | general-purpose |
| competency-architect | `.claude/agents/competency-architect.md` | Competency definition, behavioral indicators, proficiency levels | general-purpose |ksa-taxonomy
When your agent uses it
A specialized skill for building KSA (Knowledge, Skill, Ability) taxonomies in job analysis and mapping them to NCS/O*NET standards. Used by the job-analyst and competency-architect agents when writing job descriptions and systematically classifying competencies. Automatically applied in contexts involving 'KSA analysis,' 'job description,' 'NCS,' 'O*NET,' 'task analysis,' or 'competency classification system.' Note: actual NCS system access or HR system data integration is outside the scope of this skill.
What it loads into context
Frontmatter
116 tokensAlways available to the agent
SKILL.md
1,071 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- KSA Framework
- Competency Classification System
- NCS (National Competency Standards) Mapping
- O*NET Mapping (Global Standard)
Files
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# KSA Taxonomy — KSA Classification System and Standards Mapping Tool
A specialized skill that enhances the job analysis capabilities of the job-analyst and competency-architect agents.
## Target Agents
- **job-analyst** — Job analysis, KSA extraction
- **competency-architect** — Competency definition, classification system design
## KSA Framework
### K-S-A-O Definitions
| Category | Definition | Examples |adr-writer
When your agent uses it
A pipeline where an agent team systematically creates Architecture Decision Records (ADRs). Use this skill for requests such as 'write an ADR,' 'architecture decision record,' 'document a technical decision,' 'architecture decision record,' 'organize architecture selection rationale,' 'technology stack decision,' 'alternative comparison analysis,' 'tradeoff analysis,' or 'architecture decision history.' Note: actual code migration execution, infrastructure provisioning, and performance test execution are outside the scope of this skill.
What it loads into context
Frontmatter
102 tokensAlways available to the agent
SKILL.md
1,634 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Execution Modes by Request Scope
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# ADR Writer — Architecture Decision Record Pipeline
An agent team collaborates to execute the full workflow: context analysis, alternative comparison, tradeoff evaluation, decision documentation, and impact tracking for architecture decisions.
## Execution Mode
**Agent Team** — Five agents communicate directly via SendMessage and perform cross-validation.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| context-analyst | `.claude/agents/context-analyst.md` | Current architecture, problem, and constraint analysis | general-purpose |
| alternative-researcher | `.claude/agents/alternative-researcher.md` | Technology alternative exploration, benchmark collection | general-purpose |madr-template-engine
When your agent uses it
A specialized skill for structuring ADRs in MADR (Markdown Any Decision Record) standard format and systematizing status management. Used by the adr-author and impact-tracker agents when writing standard-format ADR documents and tracking decision history. Automatically applied in contexts involving 'MADR format,' 'ADR template,' 'decision status,' 'ADR numbering system,' or 'decision history.' Note: Git commit hook setup and CI/CD pipeline construction are outside the scope of this skill.
What it loads into context
Frontmatter
103 tokensAlways available to the agent
SKILL.md
1,077 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- MADR Standard Template
- ADR Status Management
- ADR Numbering System
- ADR Writing Quality Checklist
- ADR Dependency Graph (for impact-tracker)
Files
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# MADR Template Engine — ADR Standard Format Tool
A specialized skill that enhances the ADR documentation capabilities of the adr-author and impact-tracker agents.
## Target Agents
- **adr-author** — MADR format ADR document writing
- **impact-tracker** — Inter-ADR dependency tracking, status management
## MADR Standard Template
```markdown
# ADR-{NNN}: {Decision Title}
quality-attribute-analyzer
When your agent uses it
A specialized skill for systematically analyzing quality attributes in architecture decisions and quantifying tradeoffs. Used by the tradeoff-evaluator agent when evaluating tradeoffs between quality attributes such as performance, scalability, and security. Automatically applied in contexts involving 'quality attributes,' 'QA analysis,' '-ility,' 'performance requirements,' 'scalability,' 'security,' or 'CAP theorem.' Note: actual performance test execution and security audits are outside the scope of this skill.
What it loads into context
Frontmatter
102 tokensAlways available to the agent
SKILL.md
1,233 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agent
- Core Quality Attribute (-ility) Dictionary
- Quality Attribute Tradeoff Matrix
- Weighted Evaluation Matrix (Weighted Scoring)
- Simplified ATAM (Architecture Tradeoff Analysis Method)
Files
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# Quality Attribute Analyzer — Quality Attribute Analysis Tool
A specialized skill that enhances the tradeoff-evaluator agent's quality attribute analysis capabilities.
## Target Agent
- **tradeoff-evaluator** — Quality attribute weighted evaluation, risk-reward analysis
## Core Quality Attribute (-ility) Dictionary
### Runtime Quality Attributes
| Attribute | Definition | Measurement Metrics | Typical Targets |
|-----------|-----------|---------------------|-----------------|citation-formatter
When your agent uses it
A specialized skill for accurately converting academic citations and references across major styles including APA, MLA, and Chicago. Used by the reference-manager agent when collecting bibliographic information and standardizing formats. Automatically applied in contexts involving 'citation format,' 'APA,' 'MLA,' 'Chicago,' 'references,' 'BibTeX,' or 'bibliography management.' Note: automatic bibliographic extraction from academic databases and Zotero/EndNote software operation are outside the scope of this skill.
What it loads into context
Frontmatter
104 tokensAlways available to the agent
SKILL.md
1,157 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agent
- APA 7th Edition
- MLA 9th Edition
- Chicago (Author-Date Style)
- BibTeX Conversion
- Citation Quality Checklist
- Non-English Literature Citations (APA Standard)
Files
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# Citation Formatter — Academic Citation Format Conversion Tool
A specialized skill that enhances the reference-manager agent's bibliography management capabilities.
## Target Agent
- **reference-manager** — Reference format standardization, bibliographic information management
## APA 7th Edition
### In-text Citations
| Situation | Format | Example |
|-----------|--------|---------|research-assistant
When your agent uses it
A pipeline where an agent team systematically performs academic research assistance. Use this skill for requests such as 'search for papers,' 'literature review,' 'organize research materials,' 'academic research,' 'organize references,' 'prior research analysis,' 'research trend analysis,' 'literature search,' or 'academic note organization.' Note: experiment execution, statistical analysis execution, final paper writing, and journal submission are outside the scope of this skill.
What it loads into context
Frontmatter
98 tokensAlways available to the agent
SKILL.md
1,621 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Execution Modes by Request Scope
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# Research Assistant — Academic Research Assistance Pipeline
An agent team collaborates to execute: literature search, note-taking, critical synthesis, and reference management.
## Execution Mode
**Agent Team** — Five agents communicate directly via SendMessage and perform cross-validation.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| literature-searcher | `.claude/agents/literature-searcher.md` | Literature search, relevance filtering | general-purpose |
| note-taker | `.claude/agents/note-taker.md` | Structured reading note creation | general-purpose |systematic-review-protocol
When your agent uses it
A specialized skill providing PRISMA protocols and literature search strategies for systematic reviews. Used by the literature-searcher and critic-synthesizer agents when systematically searching, screening, and synthesizing academic literature. Automatically applied in contexts involving 'systematic review,' 'PRISMA,' 'literature search strategy,' 'inclusion/exclusion criteria,' or 'Boolean search.' Note: direct access to academic databases (Scopus, WoS) and meta-analysis statistical execution are outside the scope of this skill.
What it loads into context
Frontmatter
111 tokensAlways available to the agent
SKILL.md
1,238 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- PRISMA 2020 Flow Diagram
- Search Strategy Design
- Inclusion/Exclusion Criteria
- Literature Quality Assessment Tools
- Thematic Synthesis
Files
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# Systematic Review Protocol
A specialized skill that enhances the literature review capabilities of the literature-searcher and critic-synthesizer agents.
## Target Agents
- **literature-searcher** — Search strategy, PRISMA flow diagram, inclusion/exclusion criteria
- **critic-synthesizer** — Critical appraisal, thematic synthesis, research gap identification
## PRISMA 2020 Flow Diagram
```
Identification
├── Database search: n = [X]content-lifecycle-manager
When your agent uses it
A specialized skill for systematizing knowledge base content lifecycle management and quality governance. Used by the maintenance-planner and wiki-builder agents when managing content update cycles, ownership, and quality scores. Automatically applied in contexts involving 'content lifecycle,' 'governance,' 'update cycle,' 'document quality,' or 'knowledge management process.' Note: CMS server operations and automation script deployment are outside the scope of this skill.
What it loads into context
Frontmatter
93 tokensAlways available to the agent
SKILL.md
1,193 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- 5-Stage Content Lifecycle
- Update Cycles by Content Type
- Document Quality Scorecard
- Governance Model
- Document Status Workflow
- Content Audit
Files
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# Content Lifecycle Manager — Content Lifecycle Management Tool
A specialized skill that enhances the content management capabilities of the maintenance-planner and wiki-builder agents.
## Target Agents
- **maintenance-planner** — Governance, update cycles, quality management
- **wiki-builder** — Including lifecycle metadata during document creation
## 5-Stage Content Lifecycle
```
[Plan] -> [Create] -> [Review] -> [Publish] -> [Maintain]
| |information-architecture
When your agent uses it
A specialized skill for designing the information architecture (IA) of knowledge bases. Used by the taxonomy-designer agent when designing classification systems, navigation, and labeling systems. Automatically applied in contexts involving 'information architecture,' 'IA design,' 'category design,' 'navigation,' 'sitemap,' or 'card sorting.' Note: UX research execution and UI prototyping are outside the scope of this skill.
What it loads into context
Frontmatter
88 tokensAlways available to the agent
SKILL.md
1,032 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agent
- 4 IA Design Systems
- Taxonomy Design Process
- Tag System Design
- YAML Front Matter Standard
Files
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# Information Architecture — IA Design Tool
A specialized skill that enhances the taxonomy-designer agent's classification system design capabilities.
## Target Agent
- **taxonomy-designer** — Classification systems, tags, navigation design
## 4 IA Design Systems
### 1. Organization System
| Classification Method | When to Apply | Examples |
|----------------------|---------------|----------|knowledge-base-builder
When your agent uses it
A pipeline where an agent team builds organizational knowledge management systems. Use this skill for requests such as 'build a knowledge base,' 'wiki setup,' 'knowledge management system,' 'internal wiki,' 'organize team documentation,' 'technical documentation wiki,' 'create onboarding docs,' 'organize organizational knowledge,' or 'build documentation system.' Note: CMS server setup, database installation, and search engine deployment are outside the scope of this skill.
What it loads into context
Frontmatter
96 tokensAlways available to the agent
SKILL.md
1,521 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Execution Modes by Request Scope
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# Knowledge Base Builder — Organizational Knowledge Management Pipeline
An agent team collaborates to execute: knowledge collection, taxonomy design, markdown wiki generation, search indexing, and maintenance guidelines.
## Execution Mode
**Agent Team** — Five agents communicate directly via SendMessage and perform cross-validation.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| knowledge-collector | `.claude/agents/knowledge-collector.md` | Knowledge collection, inventory building | general-purpose |
| taxonomy-designer | `.claude/agents/taxonomy-designer.md` | Classification system, tags, navigation design | general-purpose |ats-optimizer
When your agent uses it
A specialized skill that provides resume keyword strategies and formatting guidelines for passing ATS (Applicant Tracking Systems). Used by the resume-writer agent to create ATS-friendly resumes and maximize JD matching rates. Automatically applied in contexts such as 'ATS optimization', 'resume keywords', 'JD matching', 'resume format', 'applicant tracking system', 'application pass rate', etc. Note: Directly accessing ATS software (Workday, Greenhouse) or handling actual recruitment processes is outside the scope of this skill.
What it loads into context
Frontmatter
108 tokensAlways available to the agent
SKILL.md
1,167 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- ATS Parsing Principles
- Keyword Optimization Strategy
- Achievement Quantification Formula (STAR-Q)
- Section-by-Section ATS Optimization
- ATS Score Self-Assessment
Files
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# ATS Optimizer — ATS Pass Optimization Tool
A specialized skill that enhances the resume-writer agent's ATS optimization capabilities.
## Target Agents
- **resume-writer** — ATS-friendly resume writing, keyword optimization
## ATS Parsing Principles
### How ATS Reads Documents
```
1. Text extraction (PDF/DOCX -> Plain Text)linkedin-seo
When your agent uses it
A specialized skill that provides LinkedIn profile search optimization (SEO) strategies and section-by-section optimization guides. Used by the profile-optimizer agent to maximize LinkedIn profile search visibility and increase recruiter traffic. Automatically applied in contexts such as 'LinkedIn SEO', 'LinkedIn optimization', 'profile search', 'recruiter visibility', 'LinkedIn keywords', 'LinkedIn headline', etc. Note: Directly accessing the LinkedIn API or operating automated networking tools is outside the scope of this skill.
What it loads into context
Frontmatter
109 tokensAlways available to the agent
SKILL.md
1,190 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Target Agents
- Understanding the LinkedIn Search Algorithm
- Section-by-Section Optimization Guide
- Recruiter Search Patterns
- LinkedIn SSI (Social Selling Index) Optimization
- Profile Completeness Checklist
Files
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# LinkedIn SEO — LinkedIn Profile Search Optimization Tool
A specialized skill that enhances the profile-optimizer agent's LinkedIn optimization capabilities.
## Target Agents
- **profile-optimizer** — LinkedIn profile optimization, keyword strategy
## Understanding the LinkedIn Search Algorithm
### Search Ranking Factors
| Factor | Weight | Optimization Method |
|--------|--------|-------------------|personal-branding
When your agent uses it
A pipeline where an agent team systematically performs personal branding. Use this skill for requests such as 'write my resume,' 'personal branding,' 'CV writing,' 'create a portfolio,' 'optimize LinkedIn profile,' 'write a cover letter,' 'organize my career,' 'help with job preparation,' or 'prepare for a job change.' Note: job posting search, interview simulation, and salary negotiation coaching are outside the scope of this skill.
What it loads into context
Frontmatter
99 tokensAlways available to the agent
SKILL.md
1,488 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Execution Modes by Request Scope
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# Personal Branding — Personal Branding Pipeline
An agent team collaborates to produce: positioning analysis, resume/CV, portfolio, LinkedIn profile, and cover letter.
## Execution Mode
**Agent Team** — Five agents communicate directly via SendMessage to build a consistent brand.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| positioning-strategist | `.claude/agents/positioning-strategist.md` | Strength analysis, differentiation, keyword strategy | general-purpose |
| resume-writer | `.claude/agents/resume-writer.md` | Resume/CV writing | general-purpose |clause-risk-database
When your agent uses it
A risk clause database that systematically identifies and grades risk patterns in contract clauses. The 'risk-assessor' and 'clause-analyst' agents must use this skill's pattern DB and scoring methodology when evaluating clause-level risk in contracts. Used for clause-level risk assessment tasks such as 'risk clause analysis', 'disadvantageous clause identification', 'risk scoring', etc. Note: Overall contract orchestration or contract drafting itself is outside the scope of this skill.
What it loads into context
Frontmatter
104 tokensAlways available to the agent
SKILL.md
1,380 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Risk Clause Pattern Classification System
- Risk Scoring Algorithm
- Required Checkpoints by Contract Type
- Risk Report Output Format
- Notes
Files
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# Clause Risk Database — Risk Clause Pattern DB and Scoring Engine
A specialized knowledge base that identifies risk patterns in contract clauses and calculates quantitative risk scores.
## Risk Clause Pattern Classification System
### Tier 1: Critical Risk (80-100 points)
| Pattern ID | Pattern Name | Description | Representative Wording |
|-----------|-------------|-------------|----------------------|
| C-01 | Unlimited Liability | Full liability without cap | "shall indemnify all damages" |
| C-02 | Unilateral Termination | Only the counterparty can terminate unconditionally | "Party A may terminate immediately without cause" |
| C-03 | Blanket Indemnification | Complete exemption of counterparty's liability | "Party A shall not be liable under any circumstances" |
| C-04 | Unlimited IP Transfer | Transfer of all IP without consideration | "All rights to deliverables shall vest in Party A" |contract-analyzer
When your agent uses it
A pipeline where an agent team performs contract analysis, drafting, review, and risk assessment. Use this skill for contexts such as 'review the contract', 'contract analysis', 'draft a contract', 'contract risk assessment', 'contract review', 'clause modification', 'contract comparison', 'NDA review', 'service agreement', 'lease agreement', 'employment contract', 'license agreement', and other contract management tasks. Note: Providing legal counsel, conducting litigation, notarization, and court document preparation are outside the scope of this skill.
What it loads into context
Frontmatter
117 tokensAlways available to the agent
SKILL.md
1,616 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Modes by Request Scope
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# Contract Analyzer — Contract Analysis, Drafting, and Review Pipeline
An agent team collaborates to perform clause analysis, drafting/revision, risk assessment, comparison review, and comprehensive opinion.
> Warning: This pipeline does not replace professional legal advice.
## Execution Mode
**Agent Team** — 5 agents communicate directly via SendMessage and cross-verify each other's work.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|negotiation-playbook
When your agent uses it
A contract negotiation strategy and amendment proposal playbook. The 'clause-drafter' and 'comparison-reviewer' agents must use this skill's strategy framework and wording templates when drafting amendments or deriving negotiation points. Used for contract negotiation-related tasks such as 'negotiation strategy', 'amendment proposal', 'contract terms coordination', etc. Note: Overall contract orchestration or risk score calculation is outside the scope of this skill.
What it loads into context
Frontmatter
97 tokensAlways available to the agent
SKILL.md
1,079 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Basic Negotiation Framework: BATNA-ZOPA Analysis
- Clause-Level Negotiation Strategies and Alternative Wording
- Negotiation Communication 4-Step Structure
- BATNA Deployment When Negotiations Stall
- Negotiation Outcome Evaluation
- Unfair Terms Review Criteria
- Notes
Files
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# Negotiation Playbook — Contract Negotiation Strategy Playbook
Provides clause-level negotiation strategies, alternative wording templates, and concession-exchange matrices.
## Basic Negotiation Framework: BATNA-ZOPA Analysis
### Negotiating Power Diagnosis Formula
```
negotiating_power = (alternative_strength x 0.3) + (time_flexibility x 0.2) + (information_advantage x 0.2) + (market_position x 0.3)
Each item on a 1-10 scale
Result: 8-10 Aggressive | 5-7 Balanced | 1-4 Defensive, focus on essentialsaudit-checklist-engine
When your agent uses it
A systematic checklist generation engine for compliance audits. The 'status-auditor' and 'remediation-planner' agents must use this skill's audit framework and checklist templates when conducting status assessments and developing remediation plans. Used for 'audit checklist', 'compliance inspection form', 'compliance status assessment', etc. Note: Law mapping or full orchestration is outside the scope of this skill.
What it loads into context
Frontmatter
89 tokensAlways available to the agent
SKILL.md
1,214 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Audit Framework: 5-Level Maturity Model
- Domain-Specific Audit Checklist Templates
- Audit Report Output Structure
- Improvement Priority Calculation Formula
- Notes
Files
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# Audit Checklist Engine — Compliance Audit Checklist Generation Engine
Converts regulatory obligations into practical inspection items and quantitatively assesses compliance levels.
## Audit Framework: 5-Level Maturity Model
### Compliance Maturity Levels
| Level | Name | Description | Score |
|-------|------|-------------|-------|
| L1 | Unaware | Unaware that the obligation exists | 0 |
| L2 | Aware/Non-Compliant | Aware but no action taken | 25 |
| L3 | Partially Compliant | Some actions completed, deficiencies exist | 50 |
| L4 | Fully Compliant | Minimum legal requirements met | 75 |compliance-checker
When your agent uses it
A full compliance verification pipeline. An agent team collaborates to perform law mapping, status audit, gap analysis, and remediation planning in a single pass. Use this skill for contexts such as 'check regulatory compliance', 'compliance check', 'legal compliance status', 'run gap analysis', 'regulatory response plan', 'legal risk analysis', 'compliance audit', 'regulatory inspection', 'compliance status assessment', and other compliance verification tasks. Note: Actual legal counsel (attorney opinions), litigation representation, administrative filings/submissions, and direct integration with legal databases (case law search systems) are outside the scope of this skill.
What it loads into context
Frontmatter
137 tokensAlways available to the agent
SKILL.md
1,561 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Modes by Request Scope
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# Compliance Checker — Compliance Verification Pipeline
Systematically diagnoses an organization's law and regulation compliance status, analyzes gaps, and develops actionable remediation plans.
## Execution Mode
**Agent Team** — 4 agents communicate directly via SendMessage and cross-verify each other's work.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| law-mapper | `.claude/agents/law-mapper.md` | Law identification, clause mapping, obligation extraction | general-purpose |
| status-auditor | `.claude/agents/status-auditor.md` | Status investigation, evidence collection, compliance assessment | general-purpose |regulation-knowledge-base
When your agent uses it
A structured knowledge base of key regulatory laws. The 'law-mapper' and 'gap-analyst' agents must use this skill's law database and mapping methodology when identifying applicable laws by industry and mapping obligations. Used for 'applicable law verification', 'regulatory mapping', 'obligation extraction', etc. Note: Full compliance orchestration or remediation planning is outside the scope of this skill.
What it loads into context
Frontmatter
90 tokensAlways available to the agent
SKILL.md
993 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Industry-Specific Key Applicable Law Matrix
- Organization Size-Based Law Application Branches
- Obligation Structuring Template
- Risk Impact Assessment
- Notes
Files
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# Regulation Knowledge Base — Structured Regulatory Law Knowledge Base
Systematically maps applicable laws, obligations, and penalty criteria by industry sector.
## Industry-Specific Key Applicable Law Matrix
### IT/Online Services
| Law | Application Condition | Key Obligations | Violation Sanctions |
|-----|----------------------|----------------|-------------------|
| Personal Information Protection Act | When processing personal data | Consent for collection, privacy policy disclosure, safety measures | Fines up to 50M, 3% of revenue |
| Information and Communications Network Act | When providing online services | Technical safeguards, breach incident reporting | Fines up to 30M |
| E-Commerce Act | When selling goods/services | Right of withdrawal, labeling/advertising, payment | Fines up to 100M |
| Location Information Act | When collecting location data | Location service business registration, consent | Fines up to 50M |claim-drafting-patterns
When your agent uses it
Strategic drafting patterns and claim scope design guide for patent claims. The 'claim-drafter' and 'patent-reviewer' agents must use this skill's drafting patterns, terminology rules, and dependent claim strategies when writing or verifying claims. Used for 'claim drafting', 'claim scope design', 'dependent claim strategy', etc. Note: Overall patent orchestration or prior art search is outside the scope of this skill.
What it loads into context
Frontmatter
96 tokensAlways available to the agent
SKILL.md
1,060 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Drafting Patterns by Claim Type
- Claim Scope Design Strategy
- Terminology Rules
- Rejection Response Patterns
- Claim Self-Check Checklist
- Notes
Files
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# Claim Drafting Patterns — Claim Drafting Pattern Guide
Strategic composition, terminology selection, and claim scope optimization methodology for patent claims.
## Drafting Patterns by Claim Type
### Apparatus (Article) Claim Structure
```
In a [title of invention],
[Component A];
[Component B] connected to said [Component A] and performing [Function 1]; and
[Component C] receiving [data/signal] from said [Component B] and performing [Function 2],
comprising [title of invention].patent-drafter
When your agent uses it
A full patent specification drafting pipeline. An agent team collaborates to generate prior art search, claims, specification, and drawing descriptions in a single pass. Use this skill for contexts such as 'write a patent specification', 'patent application', 'invention patent', 'draft claims', 'prior art search', 'patent draft', 'patent specification draft', 'convert invention report to patent', 'turn an idea into a patent', and other patent specification drafting tasks. Note: Actual patent office filing, patent examination responses (opinion statements/amendments), patent litigation, and international filing (PCT/Paris Convention) practice are outside the scope of this skill.
What it loads into context
Frontmatter
145 tokensAlways available to the agent
SKILL.md
1,598 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Modes by Request Scope
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
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# Patent Drafter — Patent Specification Drafting Pipeline
Converts an invention's technical idea into a systematic patent specification set.
## Execution Mode
**Agent Team** — 5 agents communicate directly via SendMessage and cross-verify each other's work.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| prior-art-researcher | `.claude/agents/prior-art-researcher.md` | Prior art search, novelty/inventive step analysis | general-purpose |
| claim-drafter | `.claude/agents/claim-drafter.md` | Independent/dependent claim drafting, claim scope design | general-purpose |prior-art-search-strategy
When your agent uses it
A strategic search methodology for patent prior art investigation. The 'prior-art-researcher' agent must use this skill's search strategies, classification code system, and analysis frameworks when searching prior art and determining novelty and inventive step. Used for 'prior art search', 'novelty determination', 'inventive step analysis', etc. Note: Claim drafting or specification writing is outside the scope of this skill.
What it loads into context
Frontmatter
92 tokensAlways available to the agent
SKILL.md
1,188 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 3-Phase Search Strategy Framework
- IPC/CPC Classification Code Utilization
- Novelty and Inventive Step Judgment Framework
- Search Report Output Structure
- Notes
Files
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# Prior Art Search Strategy — Prior Art Search Strategy Guide
Search strategies, IPC/CPC classification utilization, and analysis frameworks for systematic prior art investigation.
## 3-Phase Search Strategy Framework
### Phase 1: Invention Decomposition
```
Invention -> Technical Problem -> Solution Means -> Components
Decomposition Matrix:
| Component | Function | Relationship | Tech Field | Core Keywords |
|-----------|----------|-------------|-----------|--------------|data-flow-mapper
When your agent uses it
A data flow mapping tool that systematically maps personal information processing flows and identifies risk points. The 'pia-assessor' and 'process-architect' agents must utilize this skill's mapping methodology and risk point identification patterns when analyzing data flows and designing protective measures. Use for 'data flow analysis', 'processing activity mapping', 'risk point identification', and similar tasks. Note that legal analysis or consent form drafting is outside the scope of this skill.
What it loads into context
Frontmatter
98 tokensAlways available to the agent
SKILL.md
1,076 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Data Lifecycle Mapping Framework
- Risk Point Identification Patterns
- Data Flow Diagram Creation
- Risk Assessment Scoring
- References
Files
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# Data Flow Mapper — Personal Information Data Flow Mapping Tool
Visualizes the complete lifecycle of personal information — collection → processing → storage → transfer → destruction — and identifies risk points.
## Data Lifecycle Mapping Framework
### 6-Stage Lifecycle
```
Collection → Use → Storage → Sharing
→ Entrustment → Destruction
Checklist for each stage:
Collection: items collected, collection channels, legal basis, consent methodWhen your agent uses it
What it loads into context
Frontmatter
0 tokensAlways available to the agent
SKILL.md
1,340 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
Files
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```markdown
---
name: gdpr-pipa-cross-reference
description: "Cross-reference database for GDPR and Korea's Personal Information Protection Act (PIPA). The 'privacy-law-analyst' and 'consent-designer' agents must use this skill's article mappings and gap analysis when analyzing multi-jurisdiction privacy requirements and designing consent forms. Use for 'GDPR vs PIPA comparison', 'legal requirements cross-analysis', 'global compliance strategies', etc. Note: data flow mapping and technical safeguard design are outside the scope of this skill."
---
# GDPR-PIPA Cross Reference — GDPR & PIPA Cross-Reference DB
Article-level mapping, gap analysis, and unified compliance guide for EU GDPR and Korea's Personal Information Protection Act (PIPA).
## Core Principles Cross-Mapping
| Principle | GDPR (Article) | PIPA (Article) | Differences |
|-----------|---------------|----------------|-------------|
| Lawfulness | Art.6 (6 legal bases) | Art.15 (Consent principle) | GDPR provides more legal bases |privacy-engineer
When your agent uses it
Full privacy engineering pipeline. An agent team collaborates to perform GDPR/PIPA analysis → PIA → consent forms → process design in a single run. Use this skill for all privacy-related needs including: 'privacy by design', 'GDPR compliance', 'privacy impact assessment', 'PIA execution', 'consent form drafting', 'privacy policy', 'privacy design', 'personal data protection law compliance', 'PIPA response', 'data protection framework', etc. Note: actual submissions to the Personal Information Protection Commission, legal litigation representation, ISMS-P certification audits, and physical security system implementation are outside the scope of this skill.
What it loads into context
Frontmatter
136 tokensAlways available to the agent
SKILL.md
1,474 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Modes by Task Scope
- Data Handoff Protocol
- Error Handling
- Test Scenarios
- Per-Agent Extended Skills
Files
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# Privacy Engineer — Privacy Engineering Pipeline
Systematically builds a service's privacy protection framework from legal analysis through process design.
## Execution Mode
**Agent Team** — 4 agents communicate directly via SendMessage and perform cross-validation.
## Agent Composition
| Agent | File | Role | Type |
|---------|------|------|------|
| privacy-law-analyst | `.claude/agents/privacy-law-analyst.md` | GDPR/PIPA analysis, applicability determination | general-purpose |
| pia-assessor | `.claude/agents/pia-assessor.md` | Privacy impact assessment, risk scoring | general-purpose |When your agent uses it
What it loads into context
Frontmatter
0 tokensAlways available to the agent
SKILL.md
1,362 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Issue Structuring Techniques
- Key Legal Principle Patterns by Area of Law
- References
Files
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```markdown
---
name: case-analysis-framework
description: "A systematic framework for case analysis and issue structuring methodology. The 'case-searcher' and 'legal-analyst' agents must use this skill's IRAC framework, case analysis matrix, and issue structuring techniques when searching, analyzing cases, and deriving legal principles. Used for 'case analysis', 'issue organization', 'legal principle derivation', etc. However, drafting opinions or developing strategy is outside the scope of this skill."
---
# Case Analysis Framework
A methodology for systematically analyzing cases, structuring legal issues, and evaluating precedential value.
## IRAC Analysis Framework
### Structure
```When your agent uses it
What it loads into context
Frontmatter
0 tokensAlways available to the agent
SKILL.md
1,430 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
Files
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```markdown
---
name: legal-research
description: "Full legal research pipeline. An agent team collaborates to perform case search → legal doctrine analysis → opinion drafting → strategy formulation in one pass. Use this skill for all legal research tasks including 'legal research', 'case search', 'legal doctrine analysis', 'legal opinion', 'litigation strategy', 'legal issue analysis', 'legal review', 'dispute response strategy', 'legal risk analysis', 'legal advisory materials', etc. However, actual legal advice (attorney opinion letters), litigation/arbitration representation, direct integration with legal databases (comprehensive legal information systems), and notarization of legal documents are outside the scope of this skill."
---
# Legal Research — Legal Research Pipeline
Systematically performs case search, legal doctrine analysis, opinion drafting, and strategy formulation for legal issues.
## Execution Modes
**Agent Team** — 4 agents communicate directly via SendMessage and perform cross-validation.
## Agent CompositionWhen your agent uses it
What it loads into context
Frontmatter
0 tokensAlways available to the agent
SKILL.md
1,050 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Argumentation Techniques
- Citation Formats
- Risk Response Strategy Framework
- References
Files
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```markdown
---
name: legal-writing-methodology
description: "Professional methodology for drafting legal opinions and strategy reports. The 'opinion-writer' and 'strategy-advisor' agents must utilize the document structure, argumentation techniques, and citation formats in this skill when drafting legal opinions or formulating strategies. Used for 'legal opinion drafting', 'legal document structure', 'argumentation methods', etc. Note: case law research and legal doctrine analysis are outside the scope of this skill."
---
# Legal Writing Methodology
Professional structure and argumentation techniques for legal opinions and strategy reports.
## Standard Legal Opinion Structure
### Official Opinion Template
```markdownWhen your agent uses it
What it loads into context
Frontmatter
0 tokensAlways available to the agent
SKILL.md
1,113 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Version Control Rules
- References
Files
skill.mdcore5,388 bytes
Read SKILL.md
```markdown
---
name: cross-document-linker
description: "A document linking tool that manages cross-references and consistency across service legal documents. The 'consistency-reviewer' and each specialist agent MUST use this skill's linking matrix and check rules to maintain consistent definitions, clauses, and terminology across documents. Use for 'cross-document consistency', 'cross-reference management', 'terminology unification', etc. Note: authoring individual documents is outside the scope of this skill."
---
# Cross Document Linker — Legal Document Cross-Reference & Consistency Management
Manages reference relationships and consistency across Terms of Service, Privacy Policy, Cookie Policy, Refund Policy, and Copyright Notice.
## Cross-Reference Matrix Between Documents
### Shared Definition Framework
| Shared Term | Source Document | Referencing Documents | Consistency Rule |service-legal-docs
When your agent uses it
Full pipeline for generating a service legal document set. An agent team collaborates to generate Terms of Service → Privacy Policy → Cookie Policy → Refund Policy → Copyright Notice all at once. Use this skill for any service legal document creation including: 'create service terms', 'write terms of service', 'privacy policy', 'legal document set', 'service launch legal documents', 'terms package', 'write refund policy', 'cookie policy', 'copyright notice', 'legal document package', etc. Note: actual legal counsel (attorney review), terms review (fair trade commission), legal dispute response, and notarization of legal documents are outside the scope of this skill.
What it loads into context
Frontmatter
143 tokensAlways available to the agent
SKILL.md
1,598 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Modes
- Agent Configuration
- Workflow
- Mode by Request Scope
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extended Skills
Files
skill.mdcore7,425 bytes
Read SKILL.md
# Service Legal Docs — Service Legal Document Set Generation Pipeline
Generates all legal documents required for service launch: Terms of Service, Privacy Policy, Cookie Policy, Refund Policy, and Copyright Notice.
## Execution Modes
**Agent Team** — 4 members communicate directly via SendMessage and perform cross-validation.
## Agent Configuration
| Agent | File | Role | Type |
|---------|------|------|------|
| tos-specialist | `.claude/agents/tos-specialist.md` | Terms of Service, unfair terms prevention | general-purpose |
| privacy-specialist | `.claude/agents/privacy-specialist.md` | Privacy policy, cookie policy, consent framework | general-purpose |When your agent uses it
What it loads into context
Frontmatter
0 tokensAlways available to the agent
SKILL.md
1,124 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
Files
skill.mdcore5,136 bytes
Read SKILL.md
```markdown
---
name: unfair-terms-detector
description: "A specialized tool for detecting unfair contract terms and suggesting revisions. The 'tos-specialist' and 'consistency-reviewer' agents MUST use this skill's judgment criteria and revision patterns when drafting or validating terms of service. Use for 'unfair terms detection', 'terms of service law violation checks', 'FTC standard application', and similar tasks. Note: drafting privacy policies or cookie policies is outside the scope of this skill."
---
# Unfair Terms Detector — Detection & Revision Tool
Automatically detects unfair clauses based on the Act on the Regulation of Terms and Conditions (Terms Act) and suggests fair alternatives.
## Classification of Unfair Terms Types (Terms Act Standards)
### Liability Exemption Clauses (Article 7)
| Violation Type | Description | Unfair Example | Fair Revision |When your agent uses it
What it loads into context
Frontmatter
0 tokensAlways available to the agent
SKILL.md
1,051 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Attachment Quality Standards
- Electronic Civil Service Submission Guide
- Notes
Files
skill.mdcore5,008 bytes
Read SKILL.md
```markdown
---
name: form-filling-guide
description: "Item-by-item filling guide for administrative forms (applications, business plans). The 'document-drafter' and 'attachment-preparer' agents MUST use the filling rules and writing patterns from this skill when preparing applications and attachments. Used for 'how to fill out an application', 'form completion tips', 'form writing guide', etc. Note: requirement research and submission validation are outside the scope of this skill."
---
# Form Filling Guide — Administrative Form Completion Guide
Accurate completion methods and notes for administrative forms such as permit applications and business plans.
## Basic Filling Principles
### Common Rules
```permit-requirements-db
When your agent uses it
A requirements database that systematically organizes permit and license requirements and required documents by industry. The 'requirements-investigator' and 'submission-verifier' agents must use this skill's requirements DB and checklist rules when investigating permit requirements and verifying document completeness. Use for 'permit requirement lookup', 'required documents check', 'license condition review', etc. Note: drafting applications or preparing attachments is outside the scope of this skill.
What it loads into context
Frontmatter
93 tokensAlways available to the agent
SKILL.md
1,224 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Permit/License Type Classification
- Permit/License Requirements by Major Industry
- Document Issuance Location & Processing Time Guide
- Permit/License Completeness Checklist
- References
Files
skill.mdcore6,033 bytes
Read SKILL.md
# Permit Requirements DB — Industry-Specific Permit & License Requirements Database
A DB that systematically organizes permit/license types, requirements, required documents, and processing times for major industries.
## Permit/License Type Classification
### Permit · Authorization · Registration · Notification Distinction
| Type | Legal Nature | Review Intensity | Examples |
|------|-------------|-----------------|---------|
| Permit | Prohibition lifted (discretionary) | High | Restaurant business permit, building permit |
| Authorization | Supplementary act (binding) | High | Corporate establishment authorization, merger authorization |
| Registration | Accepted upon meeting requirements | Medium | Mail-order business, tutoring center registration |
| Notification | Effective upon receipt (self-completing) | Low | Business registration, home-sharing notification |When your agent uses it
What it loads into context
Frontmatter
0 tokensAlways available to the agent
SKILL.md
1,688 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
Files
skill.mdcore8,350 bytes
Read SKILL.md
```markdown
---
name: regulatory-filing
description: "A full pipeline where an agent team collaborates to handle the entire process from requirements research to submission checklists for regulatory permits and filings. Use this skill for all document preparation related to permits, filings, and registrations — including requests like 'prepare permit documents', 'business registration documents', 'business license application', 'building permit preparation', 'food manufacturing permit', 'medical device licensing', 'prepare filing documents', 'required document list', 'permit requirements research', 'submission checklist'. Also supports validation and supplementation of existing documents. However, acting as a representative for electronic civil affairs submissions at administrative agencies, providing legal advice (replacing attorneys/administrative agents), or representing in administrative appeals/litigation is outside the scope of this skill."
---
# Regulatory Filing — Full Permit & Filing Pipeline
An agent team collaborates to generate the complete pipeline in one pass: requirements research → required document list → application drafting → attachment preparation → submission checklist.
## Execution Modes
**Agent Team** — 4 agents communicate directly via SendMessage and perform cross-validation.
## Agent CompositionWhen your agent uses it
What it loads into context
Frontmatter
0 tokensAlways available to the agent
SKILL.md
1,011 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
Files
skill.mdcore4,245 bytes
Read SKILL.md
```markdown
---
name: ingredient-substitution-engine
description: "A guide for ingredient substitutions and allergy/dietary restriction responses. When the 'recipe-writer' and 'meal-designer' agents write recipes that accommodate dietary restrictions or select substitute ingredients, they must use the substitution matrix and conversion rules from this skill. Use for 'ingredient substitution', 'allergy response', 'vegan substitution', and similar requests. Note: calorie calculation and grocery lists are outside the scope of this skill."
---
# Ingredient Substitution Engine
Selects appropriate substitutes and adjusts cooking methods for dietary restrictions, allergies, and missing ingredients.
## Allergy Substitution Matrix
### Substitutes for the 8 Major Allergens
| Allergen | Substitute | Ratio by Use Case | Nutritional Notes |When your agent uses it
What it loads into context
Frontmatter
0 tokensAlways available to the agent
SKILL.md
1,647 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
Files
skill.mdcore7,333 bytes
Read SKILL.md
```markdown
---
name: meal-planner
description: "A full pipeline where an agent team collaborates to handle everything from nutritional analysis to cooking guides for meal management. Use this skill for any meal, nutrition, or recipe-related requests such as 'create a meal plan', 'weekly meal plan', 'diet meal plan', 'bulking meal plan', 'diabetic meal plan', 'baby food plan', 'grocery list', 'analyze my nutrition', 'give me a recipe', 'meal prep plan', 'calorie count', 'manage my diet'. If an existing meal plan is provided, supports nutritional analysis and improvement. Does NOT cover medical nutrition therapy (MNT) prescriptions, food safety certification, or restaurant menu development consulting."
---
# Meal Planner — Full Meal Management Pipeline
An agent team collaborates to generate nutrition analysis → meal design → recipes → grocery list → cooking guide all at once.
## Execution Modes
**Agent Team** — 4 agents communicate directly via SendMessage and cross-validate each other.
## Agent CompositionWhen your agent uses it
What it loads into context
Frontmatter
0 tokensAlways available to the agent
SKILL.md
1,412 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
Files
skill.mdcore4,553 bytes
Read SKILL.md
```markdown
---
name: nutrition-calculator
description: "Specialized calculation engine for nutrient requirement estimation and macro distribution. The 'nutritionist' and 'meal-designer' agents must use this skill's formulas and reference tables when calculating individual calorie/macro targets and designing meal plans. Use for 'calorie calculation', 'macro distribution', 'TDEE estimation', etc. Recipe writing and grocery lists are outside the scope of this skill."
---
# Nutrition Calculator — Nutrient Calculation Engine
Calculates energy requirements, macro distribution, and micronutrient targets based on individual body metrics.
## Basal Metabolic Rate (BMR) Calculation
### Mifflin-St Jeor Formula (Recommended)
```When your agent uses it
What it loads into context
Frontmatter
0 tokensAlways available to the agent
SKILL.md
1,173 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
Files
skill.mdcore4,953 bytes
Read SKILL.md
```markdown
---
name: exercise-biomechanics
description: "Biomechanical analysis of exercise movements and safe execution guides. When the 'exercise-guide' agent explains exercise movements and presents alternative exercises, it must utilize the muscle activation data, joint load analysis, and injury prevention guides from this skill. Use for 'exercise form guide', 'muscle activation', 'injury prevention', 'alternative exercises', etc. However, program design and nutrition strategy are outside the scope of this skill."
---
# Exercise Biomechanics — Exercise Biomechanics Guide
Analyzes muscle activation, joint load, correct form, and alternative exercises for major movements.
## Major Strength Exercise Analysis
### Squat
```fitness-program
When your agent uses it
A full pipeline where an agent team collaborates to generate everything from goal-based fitness program design to progress tracking templates. Use this skill for requests related to fitness and training programs such as 'create a workout program', 'gym routine', 'strength program', 'diet workout', 'home training', 'weekly workout schedule', 'bulk-up program', 'marathon training', 'workout routine recommendation', 'PPL program', 'bodyweight routine', etc. If an existing program is provided, analysis or improvement is supported. However, rehabilitation program prescription (physical therapist work), performance-enhancing drug consultation, and real-time personal training are outside the scope of this skill.
What it loads into context
Frontmatter
141 tokensAlways available to the agent
SKILL.md
1,635 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Modes
- Agent Roster
- Workflow
- Mode by Request Scope
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Per-Agent Extended Skills
Files
skill.mdcore7,431 bytes
Read SKILL.md
# Fitness Program — Full Design Pipeline
An agent team collaborates to generate goal-based program design → weekly schedule → exercise guide document → nutrition pairing chart → progress tracking template all at once.
## Execution Modes
**Agent Team** — 4 agents communicate directly via SendMessage and perform cross-validation.
## Agent Roster
| Agent | File | Role | Type |
|---------|------|------|------|
| program-architect | `.claude/agents/program-architect.md` | Program design, periodization, scheduling | general-purpose |
| exercise-guide | `.claude/agents/exercise-guide.md` | Exercise descriptions, form guides, substitutions | general-purpose |periodization-engine
When your agent uses it
Periodization design and progressive overload strategy engine for training programs. When 'program-architect' and 'template-builder' agents design programs and create progress tracking templates, they must utilize this skill's periodization models, volume/intensity calculation methods, and deload strategies. Use for 'periodization design', 'progressive overload', 'volume calculation', etc. Note: exercise form explanations and nutrition strategies are outside the scope of this skill.
What it loads into context
Frontmatter
96 tokensAlways available to the agent
SKILL.md
1,453 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Periodization Models
- Volume & Intensity Calculations
- Progressive Overload Strategies
- Deload Strategies
- Program Split Templates
- References
Files
skill.mdcore4,923 bytes
Read SKILL.md
# Periodization Engine
Meso/microcycle design, volume/intensity management, and deload strategies for training programs.
## Periodization Models
### Linear Periodization
```
Best for: Beginners, hypertrophy goals
12-week block structure:
Week 1-3: Adaptation — 3×12 @60-65% 1RM
Week 4-6: Accumulation — 4×10 @70-75% 1RMWhen your agent uses it
What it loads into context
Frontmatter
0 tokensAlways available to the agent
SKILL.md
1,603 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
Files
skill.mdcore6,018 bytes
Read SKILL.md
```markdown
---
name: deduction-optimizer-engine
description: "A deduction optimization engine that maximizes income deductions and tax credits through optimal combinations. The 'deduction-optimizer' agent must use this skill's deduction limit tables, priority algorithms, and simulation methods when analyzing deduction items and deriving optimal combinations. Used for 'deduction optimization', 'tax credit maximization', 'year-end tax settlement simulation', etc. However, income classification and tax calculation are outside the scope of this skill."
---
# Deduction Optimizer Engine
Provides limits, requirements, and optimal combination strategies for income deductions and tax credits.
## Income Deduction Item Framework (Based on Employment Income)
### Personal Deductions
| Category | Deduction Amount | Requirements |When your agent uses it
What it loads into context
Frontmatter
0 tokensAlways available to the agent
SKILL.md
1,573 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- References
Files
skill.mdcore5,117 bytes
Read SKILL.md
```markdown
---
name: tax-bracket-simulator
description: "A tax bracket analyzer that simulates tax liability by bracket and identifies tax-saving points. The 'tax-engine' and 'strategy-advisor' agents must use this skill's tax rate tables, calculation formulas, and bracket analysis methods when computing taxes and building tax-saving strategies. Use for 'tax bracket analysis', 'tax liability simulation', 'marginal rate calculation', etc. Note: deduction optimization and income classification are outside the scope of this skill."
---
# Tax Bracket Simulator
Income tax calculation by bracket, marginal rate analysis, and tax-saving point identification.
## Comprehensive Income Tax Rate Table
### 2024 Tax Rates
| Taxable Income Bracket | Rate | Progressive Deduction | Bracket Tax |When your agent uses it
What it loads into context
Frontmatter
0 tokensAlways available to the agent
SKILL.md
1,690 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
Files
skill.mdcore7,874 bytes
Read SKILL.md
```markdown
---
name: tax-calculator
description: "A full pipeline where an agent team collaborates to handle the entire process of tax calculation and tax-saving strategy development. Use this skill for requests related to tax calculation, tax savings, and tax filing such as: 'calculate my taxes', 'year-end tax settlement simulation', 'how much will my comprehensive income tax be', 'tax-saving methods', 'tax credit optimization', 'pension savings tax credit', 'business income tax', 'freelancer taxes', 'capital gains tax calculation', 'effective tax rate analysis'. If existing tax documents are available, it supports analysis and optimization. However, replacing certified tax accountant or CPA work, acting as a tax agent or filing on behalf of clients, and representing tax appeals or adjudications are outside the scope of this skill."
---
# Tax Calculator — Full Tax Calculation & Tax-Saving Strategy Pipeline
An agent team collaborates to produce income analysis → deduction optimization → tax calculation → tax-saving simulation → filing preparation in one pass.
## Execution Modes
**Agent Team** — 4 agents communicate directly via SendMessage and cross-validate each other.
## Agent Compositionbudget-calculator
When your agent uses it
A budget calculator that itemizes travel costs and presents savings strategies. The 'budget-manager' agent must use this skill's cost reference tables, budget allocation formulas, and savings tips when calculating travel expenses and allocating budgets. Used for 'travel budget calculation', 'cost comparison', 'savings tips', etc. Itinerary design and local information are outside this skill's scope.
What it loads into context
Frontmatter
83 tokensAlways available to the agent
SKILL.md
1,392 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Budget Allocation Formula
- Daily Cost Reference by Major City
- Itemized Cost Calculation
- Savings Strategies
- Budget Plan Output Format
- Notes
Files
skill.mdcore4,767 bytes
Read SKILL.md
# Budget Calculator — Travel Budget Calculator
Itemizes travel costs and compares budget scenarios by spending level.
## Budget Allocation Formula
### Standard Allocation Ratios
```
Total Budget Allocation:
Flights: 25-35%
Accommodation: 25-30%
Meals: 15-25%
Local Transport: 5-10%route-optimizer
When your agent uses it
A route optimization tool that optimizes travel routing and minimizes travel time and cost. The 'itinerary-designer' agent must use this skill's route optimization algorithms, transport comparison matrices, and time block allocation rules when designing daily routes. Used for 'route optimization', 'travel routes', 'transport comparison', etc. Budget calculation and local information are outside this skill's scope.
What it loads into context
Frontmatter
84 tokensAlways available to the agent
SKILL.md
1,288 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Route Optimization Principles
- Time Block Allocation Template
- Transport Comparison Matrix
- City-Specific Transport Tips
- Itinerary Output Format
- Notes
Files
skill.mdcore4,661 bytes
Read SKILL.md
# Route Optimizer — Travel Route Optimization Tool
Daily visit route optimization, transport selection, and time block allocation strategies.
## Route Optimization Principles
### 5 Core Principles
```
1. Clustering: Group nearby attractions on the same day
2. Circular routes: Accommodation→Sightseeing→Accommodation loop (no zigzagging)
3. Time alignment: Reflect operating hours/day-of-week constraints
4. Peak avoidance: Schedule popular attractions early morning or evening
5. Buffer time: Recommend daily transit time under 2 hourstravel-planner
When your agent uses it
A full pipeline where an agent team collaborates to generate everything from destination analysis to local information for travel planning. Used for 'plan a trip', 'Japan travel itinerary', 'Europe backpacking', 'weekend getaway', 'international travel prep', 'travel budget', 'accommodation recommendations', 'travel itinerary', 'local restaurants', 'travel route recommendations', etc. Supports analysis or improvement of existing itineraries. Real-time flight/accommodation booking, visa application processing, and travel agency package comparisons are outside this skill's scope.
What it loads into context
Frontmatter
114 tokensAlways available to the agent
SKILL.md
1,503 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Modes by Request Scale
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
skill.mdcore6,830 bytes
Read SKILL.md
# Travel Planner — Travel Planning Full Pipeline
Generates destination analysis, itinerary, accommodation, budget, and local information through agent team collaboration in one go.
## Execution Mode
**Agent Team** — 4 agents communicate directly via SendMessage and cross-verify.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| destination-analyst | `.claude/agents/destination-analyst.md` | Destination research, attractions, safety info | general-purpose |
| itinerary-designer | `.claude/agents/itinerary-designer.md` | Daily itinerary, route optimization, accommodation | general-purpose |color-harmony-engine
When your agent uses it
A color harmony engine for designing interior color palettes. The 'moodboard-designer' and 'style-analyst' agents must use this skill's color theory, palette formulas, and style-specific palette database when composing color palettes and analyzing styles. Used for 'color palette design', 'color harmony', 'color psychology', etc. Furniture selection and budget management are outside this skill's scope.
What it loads into context
Frontmatter
89 tokensAlways available to the agent
SKILL.md
1,249 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Basic Palette Formulas
- Interior Style Color Palettes
- Color Psychology — Application by Space
- Color Strategy by Space Size
- Color Palette Output Format
- References
Files
skill.mdcore4,685 bytes
Read SKILL.md
# Color Harmony Engine — Interior Color Harmony Engine
Provides systematic color theory, palette formulas, and psychological effects for interior design.
## Basic Palette Formulas
### 60-30-10 Rule
```
60% — Dominant: Walls, ceiling, large furniture
30% — Secondary: Fabric, curtains, rugs, small furniture
10% — Accent: Cushions, accessories, artwork
Example (Scandinavian):space-concept-board
When your agent uses it
A full pipeline where an agent team collaborates to generate an interior space concept board all at once. Use this skill for 'interior concept design', 'living room makeover', 'room atmosphere change', 'interior moodboard', 'furniture recommendations', 'space styling', 'color palette design', 'interior budget', 'DIY interior', 'home styling', 'studio interior', 'office interior', and all other space decoration tasks. Also supports item curation and budget management when an existing moodboard is provided. Actual construction work (tile installation, electrical wiring), 3D rendering, and AR furniture placement app integration are outside this skill's scope.
What it loads into context
Frontmatter
142 tokensAlways available to the agent
SKILL.md
1,631 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Composition
- Workflow
- Modes by Request Scale
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
skill.mdcore7,322 bytes
Read SKILL.md
# Space Concept Board Pipeline
An agent team collaborates to generate style analysis, moodboard, color palette, furniture/accessory list, budget sheet, and shopping guide all at once.
## Execution Mode
**Agent Team** — 5 agents communicate directly via SendMessage and cross-verify each other's work.
## Agent Composition
| Agent | File | Role | Type |
|-------|------|------|------|
| style-analyst | `.claude/agents/style-analyst.md` | Space assessment, style diagnosis, reference collection | general-purpose |
| moodboard-designer | `.claude/agents/moodboard-designer.md` | Color palette, texture, material composition | general-purpose |spatial-layout-guide
When your agent uses it
A layout guide for optimizing furniture placement and spatial traffic flow. The 'item-curator' and 'style-analyst' agents must use this skill's placement rules, dimension standards, and traffic flow design methods when selecting and arranging furniture. Used for 'furniture placement', 'spatial layout', 'traffic flow design', etc. Color design and budget management are outside this skill's scope.
What it loads into context
Frontmatter
88 tokensAlways available to the agent
SKILL.md
1,248 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Basic Dimension Rules
- Layout Patterns by Room
- Standard Apartment Floor Plan Tips
- Lighting Placement Guide
- References
Files
skill.mdcore4,410 bytes
Read SKILL.md
# Spatial Layout Guide
Interior furniture placement dimension rules, traffic flow design, and layout patterns by room type.
## Basic Dimension Rules
### Clearance Standards
| Location | Minimum | Recommended | Notes |
|----------|---------|-------------|-------|
| Main pathway (hallway) | 80cm | 90-120cm | Two-person passing |
| Between furniture | 60cm | 75-90cm | Single-person passage |
| Behind dining chairs | 75cm | 90-100cm | Chair pull-out + passage |
| TV to sofa distance | TV diagonal x 1.5 | x 2.0 | Viewing distance |compound-interest-simulator
When your agent uses it
and simulation and basis asset nature example tool. 'investment-advisor' and 'tax-strategist' agent investment revenue simulationand retirement specialist designto do when this skill's official, scenario comparison, retirement goal total must be utilized. ' total', 'asset nature example', 'retirement specialist simulation' etc. However, budget design tax total is outside this skill's scope.
What it loads into context
Frontmatter
88 tokensAlways available to the agent
SKILL.md
1,580 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- core official
- 72 (asset 2 duration)
- asset by expectedrevenuerate
- scenario comparison simulation
- retirement design total
- simulation capability
- reference
Files
skill.mdcore4,534 bytes
Read SKILL.md
# Compound Interest Simulator — simulator
and simulation, asset nature example, retirement specialist total.
## core official
### daywhen
```
FV = PV × (1 + r)^n
FV: un- value (Future Value)
PV: current value (Present Value)
r: annual revenuerate (number)financial-ratio-analyzer
When your agent uses it
itemsperson financial casebeforenature diagnosis financial ratio analysis tool. 'financial-analyst' and 'finance-reviewer' agent financial status diagnosisand figure verifyto do when this skill's financial ratio official, casebeforenature standard, diagnosis framework must be utilized. 'financial casebeforenature diagnosis', 'financial ratio analysis', 'total financial inspection' etc. However, investment strategy tax savings approach is outside this skill's scope.
What it loads into context
Frontmatter
100 tokensAlways available to the agent
SKILL.md
1,295 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- core financial ratio 8
- comprehensive financial casebeforenature score
- financial diagnosis report capability
- reference
Files
skill.mdcore4,440 bytes
Read SKILL.md
# Financial Ratio Analyzer — itemsperson financial ratio analysisbasis
itemsperson/ financial casebeforenature core ratio diagnosisand, improvement direction present.
## core financial ratio 8
### 1. savingsrate (Savings Rate)
```
savingsrate = (month savings + investment) / taxafter month × 100
: 20%+ quality: 10-20% risk: 10% less than
taxdepartment standard:personal-finance
When your agent uses it
itemsperson financialmanagement A pipeline where an agent team collaborates for comprehensive planning. 'financialmanagement ', 'totaldepartment organization', ' ', 'investment ', 'tax savings method', 'annual optimization', 'retirement preparation', 'budget ', 'savings plan', 're-', 'assetmanagement', 'financialdesign' etc. itemsperson financial before skill usage. existing totaldepartment data case analysisdepartment whenworkto do number . However, actual execution, , tax versus is outside this skill's scope.
What it loads into context
Frontmatter
111 tokensAlways available to the agent
SKILL.md
1,550 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- execution mode
- agent composition
- workflow
- task scaleby mode
- data deliver protocol
- error handling
- test scenario
- agentby extension skill
Files
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# Personal Finance — itemsperson financialmanagement comprehensive pipeline
incomeexpenseanalysis→budgetdesign→investmentstrategy→tax savingsapproach→retirementdesign An agent team collaborates to generate all deliverables at once.
## execution mode
**agent team** — 5 agents communicate directly via SendMessage and cross-verify each other's work.
## agent composition
| agent | file | role | type |
|---------|------|------|------|
| financial-analyst | `.claude/agents/financial-analyst.md` | incomeexpense analysis, financialcasebeforenature diagnosis | general-purpose |
| budget-planner | `.claude/agents/budget-planner.md` | budget design, savings plan | general-purpose |market-sizing-calculator
When your agent uses it
companyproject market scale estimationand revenue model verify market scale totalbasis. 'idea-validator' agent idea marketnature verifyto do when this skill's TAM/SAM/SOM framework, revenue model total, competition analysis matrix must be utilized. 'market scale estimation', 'revenue model verify', 'competition analysis' etc. However, tech stack MVP design is outside this skill's scope.
What it loads into context
Frontmatter
87 tokensAlways available to the agent
SKILL.md
1,177 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- TAM/SAM/SOM framework
- revenue model typeby total
- competition analysis matrix
- companyproject revenue actualcurrent possiblenature score
- reference
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# Market Sizing Calculator — market scale totalbasis
companyproject market opportunity qualityas estimationand revenue possiblenature verify.
## TAM/SAM/SOM framework
### and calculation
```
TAM (Total Addressable Market): overall market scale
→ applicable problem overall re- client × annualbetween expense
SAM (Serviceable Addressable Market): possible market
→ TAM × degree//platform constraint side-project-launcher
When your agent uses it
companyproject basis A pipeline where an agent team collaborates for comprehensive planning. 'companyproject basis', 'company project idea', ' project', 'MVP ', ' reporting ', 'service launch', '1person development', 'indie hacking', 'week project', 'tech stack ', 'company ' etc. companyproject basis before skill usage. existing idea case also tech stack MVP design degreeKRW. However, actual code writing, specialistperson whenplan work, person/from versus is outside this skill's scope.
What it loads into context
Frontmatter
113 tokensAlways available to the agent
SKILL.md
1,424 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- execution mode
- agent composition
- workflow
- task scaleby mode
- data deliver protocol
- error handling
- test scenario
- agentby extension skill
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# Side Project Launcher — companyproject basis pipeline
ideaverify→tech stack→MVP→developmentroadmap→launchchecklist An agent team collaborates to generate all deliverables at once.
## execution mode
**agent team** — 5 agents communicate directly via SendMessage and cross-verify each other's work.
## agent composition
| agent | file | role | type |
|---------|------|------|------|
| idea-validator | `.claude/agents/idea-validator.md` | market analysis, competition research, differentiation verify | general-purpose |
| techstack-analyst | `.claude/agents/techstack-analyst.md` | tech stack comparison, recommendation, person design | general-purpose |techstack-decision-matrix
When your agent uses it
companyproject tech stack systematicas comparison· decision-making matrix. 'techstack-analyst' agent tech stack comparisonand recommendationto do when this skill's assessment standard, cost total, pattern must be utilized. 'tech stack comparison', 'person cost total', ' ' etc. However, market analysis MVP design is outside this skill's scope.
What it loads into context
Frontmatter
81 tokensAlways available to the agent
SKILL.md
1,451 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- assessment standard framework (5)
- comparison
- comparison
- data comparison
- person·deployment cost comparison
- recommendation
- decision-making matrix capability
- reference
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# TechStack Decision Matrix — tech stack decision-making matrix
companyproject optimizationdone tech stack comparison, cost calculation, recommendation .
## assessment standard framework (5)
```
1. learning (Learning Curve): time
2. development within also (Development Speed): MVPto time
3. operations cost (Operating Cost): month person cost
4. extensionnature (Scalability): user increase when response nature
5. total (Ecosystem): library, , hiring market
```
vendor-negotiation-guide
When your agent uses it
vendor(wedding hall·studio/dress/makeup·honeymoon etc.) comparison and negotiation strategy guide. 'vendor-analyst' and 'budget-controller' agent vendor comparisonand estimate analysisto do when this skill's vendor comparison matrix, price standardtable, negotiation must be utilized. 'vendor comparison', 'estimate analysis', ' negotiation' etc. However, timeline design checklist writing is outside this skill's scope.
What it loads into context
Frontmatter
94 tokensAlways available to the agent
SKILL.md
1,448 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- key vendor typeby price standard (2024-2025)
- vendor comparison matrix
- negotiation strategy
- totalapprox. before required confirm matters
- reference
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# Vendor Negotiation Guide — vendor comparison·negotiation guide
vendorby price standard, comparison point, negotiation strategy provide.
## key vendor typeby price standard (2024-2025)
### wedding hall
| type | price scope (1person) | guaranteed headcount | characteristic |
|------|-----------------|---------|------|
| day wedding hall | 6-100,000 KRW | 150-250people | nature, nature |
| (4nature) | 10-150,000 KRW | 200-300people | service, weekgap |
| (5nature) | 15-300,000 KRW | 200-400people | premium |
| | 8-150,000 KRW | 80-150people | between |wedding-budget-optimizer
When your agent uses it
wedding budget itemby allocation and cost reduction strategy optimization budget management tool. 'budget-controller' and 'wedding-reviewer' agent budget allocationand cost verifyto do when this skill's budget allocation official, cost standardtable, approx. strategy must be utilized. 'wedding budget allocation', 'cost reduction', 'budget simulation' etc. However, vendor comparison timeline design is outside this skill's scope.
What it loads into context
Frontmatter
93 tokensAlways available to the agent
SKILL.md
1,787 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- wedding cost structure (Korean 2024-2025)
- budget allocation official
- cost reduction strategy TOP 10
- budget levelby scenario
- budget management trackingtable
- reference
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# Wedding Budget Optimizer — wedding budget optimization tool
wedding budget itemby allocation ratio, cost standard, approx. strategy provide.
## wedding cost structure (Korean 2024-2025)
### overall cost pyeongbalanced
```
Korean pyeongbalanced wedding cost (2024):
totalcost: approx. 2.5-3.500M KRW (both families )
composition:
week(beforetax/): 1.5-2.500M KRW (50-70%)wedding-planner
When your agent uses it
wedding preparation A pipeline where an agent team collaborates for comprehensive planning. 'wedding preparation ', ' ', 'wedding budget', 'wedding hall recommendation', 'studio/dress/makeup comparison', 'invitation document', 'wedding checklist', 'honeymoon plan', 'betrothal gifts preparation', 'trousseau list', 'wedding timeline' etc. wedding preparation before skill usage. item only neededKorean case also applicable departmentminute only degreeKRW. However, actual vendor exampleapprox. versus, processing, marriage registration versus is outside this skill's scope.
What it loads into context
Frontmatter
127 tokensAlways available to the agent
SKILL.md
1,539 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- execution mode
- agent composition
- workflow
- task scaleby mode
- data deliver protocol
- error handling
- test scenario
- agentby extension skill
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# Wedding Planner — wedding preparation comprehensive pipeline
timelinedesign→budgetmanagementtable→vendorcomparisontable→checklist→invitationdocument An agent team collaborates to generate all deliverables at once.
## execution mode
**agent team** — 5 agents communicate directly via SendMessage and cross-verify each other's work.
## agent composition
| agent | file | role | type |
|---------|------|------|------|
| timeline-designer | `.claude/agents/timeline-designer.md` | D-day , monthby schedule | general-purpose |
| budget-controller | `.claude/agents/budget-controller.md` | budget allocation, cost reduction | general-purpose |api-doc-standards
When your agent uses it
API document writing tablelevel and pattern library. doc-writer agent REST/GraphQL/gRPC API document writingto do when reference tablelevel. 'API document tablelevel', 'API reference writing' request when usage. However, OpenAPI Spec specialist creation API test execution scope outside.
What it loads into context
Frontmatter
68 tokensAlways available to the agent
SKILL.md
973 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- REST API document required section
- endpoint document template
- error tablelevel
- HTTP status code mapping
- degree document tablelevel
- authentication section tablelevel
- Rate Limiting document tablelevel
- document tablelevel
- document quality checklist
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# API Doc Standards — API document writing tablelevel
doc-writer agent API document quality tablelevel and pattern.
## REST API document required section
```
1. overview — API purpose, target user, basic URL
2. authentication — authentication method, /
3. — request/ format, degree, error code
4. endpoint reference — by CRUD
5. error processing — error code ,
6. change capability — versionby changematters
```code-example-patterns
When your agent uses it
technical document code example pattern library. doc-writer agent code example, writingto do when reference. 'code example pattern', ' code writing' request when usage. However, actual code file test execution scope outside.
What it loads into context
Frontmatter
53 tokensAlways available to the agent
SKILL.md
656 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 5stage example structure
- example vs example
- by style guide
- code composition pattern
- code annotation rule
- information processing
- quality checklist
Files
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# Code Example Patterns — code example pattern library
doc-writer agent technical document includedto do code example quality pattern.
## 5stage example structure
```
1. goal — " code X perform"
2. companybefore condition — library, environment number, setting
3. core code — minimum work example
4. execution result — expected capability
5. extension point — "next stage Y to do number "
```
diagram-patterns
When your agent uses it
Mermaid diagram pattern library. diagram-maker agent technical document diagram writingto do when reference verifydone pattern . 'diagram pattern', 'Mermaid template', ' diagram pattern' request when usage. However, actual un-degree specialistperson tool work scope outside.
What it loads into context
Frontmatter
59 tokensAlways available to the agent
SKILL.md
1,123 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- diagram pattern
- when diagram pattern
- flowchart pattern
- ER diagram pattern
- status diagram pattern
- diagram quality checklist
- planpattern
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# Diagram Patterns — Mermaid diagram pattern library
diagram-maker agent diagram quality verifydone pattern .
## diagram pattern
### pattern 1: total (Layered Architecture)
```mermaid
graph TD
subgraph Presentation["presentation total"]
UI[web UI]
API_GW[API Gateway]
endtechnical-writer
When your agent uses it
technical document agent team to specialistqualityas writing pipeline. 'technical document writingplease do', 'API document', ' document', 'user guide', 'developmentspecialist document', 'README writing', ' create it', 'operations ', 'technical blog', 'document', 'documentation', 'technical peopletaxfrom' etc. technical document writing before skill usage. existing code existing document case also review and improvement degreeKRW. However, code writing, test execution, CI/CD building, actual document deployment is outside this skill's scope.
What it loads into context
Frontmatter
118 tokensAlways available to the agent
SKILL.md
1,590 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- execution mode
- agent composition
- workflow
- task scaleby mode
- data deliver protocol
- error handling
- test scenario
- agentby extension skill
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# Technical Writer — technical document writing pipeline
structuredesign→→diagram→review→versionmanagement An agent team collaborates to generate all deliverables at once.
## execution mode
**agent team** — 5 agents communicate directly via SendMessage and cross-verify each other's work.
## agent composition
| agent | file | role | type |
|---------|------|------|------|
| info-architect | `.claude/agents/info-architect.md` | structure design, reader analysis, table of contents | general-purpose |
| doc-writer | `.claude/agents/doc-writer.md` | body text writing, code example, | general-purpose |data-visualization-guide
When your agent uses it
data visualization guide. visualizer agent chart·graph designto do when reference visualization principle and chart optional framework. 'chart optional', 'visualization guide' request when usage. However, actual BI tool work dashboard building scope outside.
What it loads into context
Frontmatter
59 tokensAlways available to the agent
SKILL.md
904 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- chart optional framework
- Mermaid based chart peopletax pattern
- visualization principle
- design tablelevel
- report typeby visualization
- quality checklist
Files
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# Data Visualization Guide — data visualization guide
visualizer agent chart design quality visualization principle and pattern.
## chart optional framework
### data purposeby chart mapping
| purpose | recommendation chart | data condition |
|------|----------|-----------|
| comparison (item between) | versuschart, | week 2~15items |
| comparison (whentotal) | , chart | time required |
| composition/ratio | , quality versus, | total=100% |
| minute | , , point also | annualwithin figure |kpi-dashboard-patterns
When your agent uses it
KPI dashboard design pattern. analyst agent core indicator analysisand executive-summarizer management reporting dashboard compositionto do when reference. 'KPI analysis', 'dashboard design', ' indicator' request when usage. However, actualtime BI whensystem building scope outside.
What it loads into context
Frontmatter
64 tokensAlways available to the agent
SKILL.md
1,119 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- KPI framework (SMART-R)
- dashboard pattern
- KPI analysis method
- scorecard design
- report typeby KPI tax
- quality checklist
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# KPI Dashboard Patterns — KPI dashboard design pattern
analyst / executive-summarizer agent indicator analysis and dashboard composition tablelevel pattern.
## KPI framework (SMART-R)
| element | description | examplewhen |
|------|------|------|
| **S**pecific | specific target | "monthbetween specialist number" |
| **M**easurable | quality possible | peopleKorean figure (case, KRW, %) |
| **A**chievable | nature possibleKorean goal | beforeyear versus +20% |
| **R**elevant | goal and annual | sales → client secure → specialist |
| **T**ime-bound | duration specify | monthbetween, minutebasis, annualbetween |
| **R**esponsible | responsibilityspecialist/departmentfrom degree | team team |report-generator
When your agent uses it
work report agent team to datacollection→analysis→visualization→→summaryto Korean creation Full pipeline. 'work report create it', 'monthbetween report writing', 'minutebasis results reporting', 'project report', 'marketanalysis report', ' report', 'KPI report', 'data analysis report', 'results summary reporting' etc. work report writing before skill usage. existing data analysis result case also visualization, , summary degreeKRW. However, actualtime BI dashboard building, data directly annual, ERP whensystem integration is outside this skill's scope.
What it loads into context
Frontmatter
124 tokensAlways available to the agent
SKILL.md
1,578 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- execution mode
- agent composition
- workflow
- task scaleby mode
- data deliver protocol
- error handling
- test scenario
- agentby extension skill
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# Report Generator — work report Full pipeline
work report datacollection→analysis→visualization→→summary An agent team collaborates to generate all deliverables at once.
## execution mode
**agent team** — 5 agents communicate directly via SendMessage and cross-verify each other's work.
## agent composition
| agent | file | role | type |
|---------|------|------|------|
| data-collector | `.claude/agents/data-collector.md` | data , figure , refinement | general-purpose |
| analyst | `.claude/agents/analyst.md` | statistics analysis, trend, insight derive | general-purpose |checklist-design
When your agent uses it
checklist design principle. checklist-designer agent execution inspectiontable and quality designto do when reference. 'checklist design', 'quality ', 'inspectiontable writing' request when usage. However, checklist development specialist whensystem building scope outside.
What it loads into context
Frontmatter
59 tokensAlways available to the agent
SKILL.md
1,014 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- checklist type classification
- checklist writing 7principle
- checklist template
- quality design
- checklist quality checklist
Files
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# Checklist Design — checklist design principle
checklist-designer agent checklist quality design principle and pattern.
## checklist type classification
### Atul Gawande classification (The Checklist Manifesto)
| type | description | usage timing |
|------|------|----------|
| DO-CONFIRM | task after confirm | specialist basis00M dependency degree |
| READ-DO | orderversus execution | reportspecialist/basis task/risk task |
| COMMUNICATION | team between information deliver | personnumberpersontotal, versus |
process-mapping
When your agent uses it
process mapping method. process-analyst agent work flow analysisand visualizationto do when reference mapping technique and tabletechnique. 'SIPOC', 'process map', 'Value Stream Map' request when usage. However, BPM whensystem building specialist development scope outside.
What it loads into context
Frontmatter
64 tokensAlways available to the agent
SKILL.md
1,115 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- SIPOC analysis framework
- process map tabletechnique
- Value Stream Mapping (VSM)
- RACI matrix
- / identification checklist
- quality checklist
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# Process Mapping — process mapping method
process-analyst agent work flow analysis quality mapping technique.
## SIPOC analysis framework
### SIPOC template
| S (Supplier) | I (Input) | P (Process) | O (Output) | C (Customer) |
|-------------|-----------|-------------|-----------|-------------|
| gradespecialist/beforestage | input specialistKRW/information | core process | deliverable | client/nextstage |
### writing rule
1. **Process ** — core process 5~7stage definitionsop-writer
When your agent uses it
standard operating procedure(SOP) agent team to processanalysis→procedure document→checklist→training materials→versionmanagementto Korean creation Full pipeline. 'SOP create it', 'standard operating procedurefrom writing', 'work procedurefrom', 'task ', 'operations procedure', 'procedure document writingplease do', 'checklist create it', 'work process document' etc. SOP writing before skill usage. existing process document procedure document·checklist·training materials writing degreeKRW. However, actual BPM whensystem building, workflow specialist development, ISO authentication company versus is outside this skill's scope.
What it loads into context
Frontmatter
129 tokensAlways available to the agent
SKILL.md
1,541 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- execution mode
- agent composition
- workflow
- task scaleby mode
- data deliver protocol
- error handling
- test scenario
- agentby extension skill
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# SOP Writer — standard operating procedure Full pipeline
standard operating procedure(SOP) processanalysis→procedure document→checklist→training materials→versionmanagement An agent team collaborates to generate all deliverables at once.
## execution mode
**agent team** — 5 agents communicate directly via SendMessage and cross-verify each other's work.
## agent composition
| agent | file | role | type |
|---------|------|------|------|
| process-analyst | `.claude/agents/process-analyst.md` | current work flow analysis, SIPOC, RACI | general-purpose |
| procedure-writer | `.claude/agents/procedure-writer.md` | stageby procedure document writing, decision-making minutebasis | general-purpose |decision-frameworks
When your agent uses it
decision-making framework library. framework-designer agent meeting decision-making structure designto do when reference. 'decision-making matrix', 'DACI', 'option assessment' request when usage. However, actual table whensystem decision-making specialist tool building scope outside.
What it loads into context
Frontmatter
62 tokensAlways available to the agent
SKILL.md
1,155 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- decision-making typeby framework mapping
- DACI framework
- during assessment matrix (Weighted Scoring)
- 2x2 priority matrix
- expected analysis (Expected Value)
- derive method
- quality checklist
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# Decision Frameworks — decision-making framework library
framework-designer agent decision-making structure design framework .
## decision-making typeby framework mapping
| decision-making type | also | recommendation framework | quality meeting |
|-------------|--------|---------------|----------|
| specialistday | Low | | 10minute |
| during option optional | duringbetween | during assessment matrix | 30minute decision-making |
| strategyquality direction | High | DACI + scenario | 60minute strategy meeting |
| specialistKRW allocation | High | priority matrix | minutebasis plan |
| risk judgment | High | expected analysis | KRW reporting |
facilitation-techniques
When your agent uses it
meeting facilitation technique library. agenda-architect and followup-planner agent effectiveperson meeting designto do when reference. 'facilitation', 'meeting progress technique', ' design' request when usage. However, actual meeting progress meeting tool operations scope outside.
What it loads into context
Frontmatter
64 tokensAlways available to the agent
SKILL.md
968 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- meeting typeby facilitation design
- idea technique
- problem technique
- time management technique
- technique
- structure
- quality checklist
Files
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# Facilitation Techniques — facilitation technique library
agenda-architect / followup-planner agent meeting design competency technique .
## meeting typeby facilitation design
| meeting type | purpose | time | recommended technique |
|----------|------|------|----------|
| person | idea | 30~60minute | 6-3-5, |
| decision-making | /optional | 30~60minute | DACI, Dot Voting |
| problem | cause→ | 60~90minute | 5 Whys, when |
| strategyestablish | direction setting | 90~120minute | SWOT, scenario |
| | improvement derive | 45~60minute | Start-Stop-Continue |
| | / | 60~90minute | project |meeting-strategist
When your agent uses it
meeting strategy document agent team to agenda itemstructuredesign→backgroundmaterialresearch→decision-makingframework→meetingrecordtemplate→to Korean creation Full pipeline. 'meeting preparationplease do', 'meeting agenda item create it', 'un- preparation material', 'meeting strategy', 'decision-making meeting design', 'company agenda item', 'project meeting', 'team un- preparation', ' design' etc. meeting preparation before skill usage. existing agenda item backgroundmaterial·framework·template writing degreeKRW. However, actual meeting progress(meeting whensystem operations), meetingactual exampleapprox., attendee schedule is outside this skill's scope.
What it loads into context
Frontmatter
134 tokensAlways available to the agent
SKILL.md
1,616 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- execution mode
- agent composition
- workflow
- task scaleby mode
- data deliver protocol
- error handling
- test scenario
- agentby extension skill
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# Meeting Strategist — meeting strategy document Full pipeline
meeting strategy document agenda itemstructuredesign→backgroundmaterialresearch→decision-makingframework→meetingrecordtemplate→ An agent team collaborates to generate all deliverables at once.
## execution mode
**agent team** — 5 agents communicate directly via SendMessage and cross-verify each other's work.
## agent composition
| agent | file | role | type |
|---------|------|------|------|
| agenda-architect | `.claude/agents/agenda-architect.md` | agenda item structure, time allocation, attendee role | general-purpose |
| background-researcher | `.claude/agents/background-researcher.md` | background data, stakeholder, case research | general-purpose |audience-engagement
When your agent uses it
audience strategy library. audience-analyst and rehearsal-coach agent audience analysis and presentation preparation to do when reference. 'audience analysis', 'presentation ', 'stage annual' request when usage. However, specialistperson scope outside.
What it loads into context
Frontmatter
56 tokensAlways available to the agent
SKILL.md
763 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- audience analysis framework
- technique ( 30)
- technique (degree 60)
- presentation management
- quality communication
- quality checklist
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# Audience Engagement — audience strategy
audience-analyst / rehearsal-coach agent audience analysis and design competency .
## audience analysis framework
### 5W audience analysis
| element | question | analysis point |
|------|------|-----------|
| Who | person | grade, specialistnature, personKRW, annualversus |
| What | expected | information, , , person |
| Why | | specialist/, basis, company |
| Where | environmentperson | versus/person, venue, timeversus |public-speaking
When your agent uses it
comprehensive preparation agent team to speechdocument→presentationversus→debatepreparationfrom→Q&Aexpectedanswer→rehearsalguideto Korean creation Full pipeline. 'speechdocument ', 'presentation preparationplease do', 'presentation versus', 'debate preparation', 'value writing', 'basisspeech', 'investment value', 'presentation annual guide', 'Q&A preparation', 'interview presentation preparation' etc. preparation before skill usage. existing presentation material debatepreparation·Q&A·rehearsal guide degreeKRW. However, actual specialistperson(PowerPoint/Keynote file creation), /, actualtime presentation is outside this skill's scope.
What it loads into context
Frontmatter
142 tokensAlways available to the agent
SKILL.md
1,630 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- execution mode
- agent composition
- workflow
- task scaleby mode
- data deliver protocol
- error handling
- test scenario
- agentby extension skill
Files
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# Public Speaking — comprehensive pipeline
audienceanalysis→speechdocument→debatepreparation→Q&A→rehearsalguide An agent team collaborates to generate all deliverables at once.
## execution mode
**agent team** — 5 agents communicate directly via SendMessage and cross-verify each other's work.
## agent composition
| agent | file | role | type |
|---------|------|------|------|
| audience-analyst | `.claude/agents/audience-analyst.md` | audience file, emotion , message | general-purpose |
| speech-writer | `.claude/agents/speech-writer.md` | speechdocument/presentation versus, numbercompany, stage degreewhen | general-purpose |rhetoric-patterns
When your agent uses it
numbercompany pattern library. speech-writer and debate-preparer agent persuasioncapability speech and buildingto do when reference. 'numbercompany', ' structure', 'persuasion technique' request when usage. However, actual presentation nature training scope outside.
What it loads into context
Frontmatter
59 tokensAlways available to the agent
SKILL.md
953 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- speech structure pattern
- 3element
- structure (debate)
- numbercompanyquality value
- quality checklist
Files
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# Rhetoric Patterns — numbercompany pattern library
speech-writer / debate-preparer agent persuasioncapability numbercompany pattern.
## speech structure pattern
### pattern 1: Monroe's Motivated Sequence
| stage | purpose | technique |
|------|------|------|
| 1. Attention (week) | during | statistics, story, question |
| 2. Need (needed) | problem person | currentactual when, data present |
| 3. Satisfaction | present | specific approach, quality description |
| 4. Visualization (visualization) | un- | nature/failure scenario |proposal-writer
When your agent uses it
proposal agent team to clientanalysis→solutiondesign→price→differentiation→specialistpersonto Korean creation Full pipeline. 'proposal create it', 'proposal writing', 'RFP response', ' proposal', 'technical proposal', 'company proposal', 'project proposal', ' proposal', 'service proposal', 'solution proposal' etc. proposal writing before skill usage. existing client analysis solution design price·differentiation·integration writing degreeKRW. However, actual whensystem etc.record, beforespecialisttotalapprox., quality proposal person/person is outside this skill's scope.
What it loads into context
Frontmatter
129 tokensAlways available to the agent
SKILL.md
1,603 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- execution mode
- agent composition
- workflow
- task scaleby mode
- data deliver protocol
- error handling
- test scenario
- agentby extension skill
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# Proposal Writer — proposal writing Full pipeline
proposal clientanalysis→solutiondesign→price→differentiation→specialistperson An agent team collaborates to generate all deliverables at once.
## execution mode
**agent team** — 5 agents communicate directly via SendMessage and cross-verify each other's work.
## agent composition
| agent | file | role | type |
|---------|------|------|------|
| client-analyst | `.claude/agents/client-analyst.md` | client , decision-makingstructure, competitionsituation | general-purpose |
| solution-architect | `.claude/agents/solution-architect.md` | solution composition, implementation plan, WBS | general-purpose |roi-calculator
When your agent uses it
ROI calculation framework. pricing-strategist and solution-architect agent proposal investment versus revenue to do when reference. 'ROI total', 'costanalysis', 'TCO' request when usage. However, financial company tax scope outside.
What it loads into context
Frontmatter
55 tokensAlways available to the agent
SKILL.md
1,226 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- ROI basic official
- TCO (Total Cost of Ownership) analysis
- Payback Period (investmentnumberduration)
- NPV (currentvalue)
- IRR (withindepartmentrevenuerate)
- naturequality
- scenario analysis
- proposal ROI tablecurrent guide
- quality checklist
Files
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# ROI Calculator — ROI calculation framework
pricing-strategist / solution-architect agent investmentrevenue analysis tablelevel.
## ROI basic official
```
ROI = (profit / totalinvestmentcost) × 100
profit = total revenue - total cost
totalinvestmentcost = initial investment + operations cost
```
## TCO (Total Cost of Ownership) analysiswin-theme-builder
When your agent uses it
Win Theme building framework. differentiator and client-analyst agent proposal core differentiation message buildingto do when reference. 'Win Theme', 'differentiation strategy', 'competition advantage' request when usage. However, competitor report collection scope outside.
What it loads into context
Frontmatter
59 tokensAlways available to the agent
SKILL.md
899 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Win Theme definition
- Win Theme development process
- proposal overall Win Theme consistency
- differentiation type
- Executive Summary Win Theme
- quality checklist
Files
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# Win Theme Builder — Win Theme building framework
differentiator / client-analyst agent proposal differentiation strategy .
## Win Theme definition
```
Win Theme = client core + only differentiation competency + people possibleKorean basis
official:
"[client] [core task] basis for
[ differentiation competency]as
[quality performance] nature"
```crisis-communication
When your agent uses it
crisis situation occurrence when situationidentify, messagestrategy, press release, Q&A, monitoringto agent team to integration crisis package Korean creation Full pipeline. 'crisis response', 'crisis communication', 'press release writing', 'crisismanagement', 'crisis management', 'grade response', ' response', 'basisspecialist preparation', 'official document', 'crisis strategy', 'companydocument writing', ' response', 'data response', 'companycase company response' etc. crisis situation communication before skill usage. crisis type degree also crisis response framework provide. However, actual rate specialistdocument, insurance , company/company versus, actualtime SNS monitoring API annual is outside this skill's scope.
What it loads into context
Frontmatter
150 tokensAlways available to the agent
SKILL.md
1,740 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- execution mode
- agent composition
- workflow
- task scaleby mode
- data deliver protocol
- error handling
- test scenario
- agentby extension skill
Files
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# Crisis Communication — crisis Full pipeline
crisis situation situationidentify→messagestrategy→press release→Q&A→monitoring An agent team collaborates to generate all deliverables at once.
## execution mode
**agent team** — 5 agents communicate directly via SendMessage and cross-verify each other's work.
## agent composition
| agent | file | role | type |
|---------|------|------|------|
| situation-analyst | `.claude/agents/situation-analyst.md` | companyactualtotal, stakeholder, crisisetc.grade | general-purpose |
| message-strategist | `.claude/agents/message-strategist.md` | coremessage, tone, channelstrategy | general-purpose |media-response-templates
When your agent uses it
media response template library. press-release-writer and qa-preparer agent press release, statement, Q&A writingto do when reference. 'press release template', 'basisspecialist preparation', 'media Q&A' request when usage. However, actual media deployment basisspecialist scope outside.
What it loads into context
Frontmatter
69 tokensAlways available to the agent
SKILL.md
1,052 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- press release structure (un-)
- Q&A when design
- basisspecialist checklist
- media response
- quality checklist
Files
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# Media Response Templates — media response template
press-release-writer / qa-preparer agent media response document quality tablelevel.
## press release structure (un-)
```
1. person — core companyactual 1sentence
2. from — report information 1sentence
3. (1) — 5W1H summary
4. body text (2~3) — detailed companyactual, response, person
5. CEO/versustable comment — official persondocument
6. response action — specific action plan
7. boilerplate — company itemsstakeholder-mapping
When your agent uses it
crisis stakeholder mapping framework. situation-analyst and message-strategist agent crisis when stakeholderby response strategy establishto do when reference. 'stakeholder analysis', 'crisis etc.grade', 'impact assessment' request when usage. However, rate specialistdocument versus scope outside.
What it loads into context
Frontmatter
66 tokensAlways available to the agent
SKILL.md
870 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- crisis etc.grade classification total
- stakeholder impact- matrix
- crisis communication timeline
- message strategy
- quality checklist
Files
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# Stakeholder Mapping — crisis stakeholder mapping
situation-analyst / message-strategist agent stakeholder analysis competency .
## crisis etc.grade classification total
| etc.grade | standard | response time | decision-makingspecialist |
|------|------|----------|----------|
| Level 1 (un-) | withindepartment impact, media Low | 24time | departmentfrom |
| Level 2 (report) | client impact, degree media | 12time | department/KRW |
| Level 3 (each) | versusscale impact, before media | 4time | C-Level |
| Level 4 (crisis) | people/planbefore, basis within | 1time | CEO + company |
## stakeholder impact- matrixrisk-register
When your agent uses it
project risk managementversus riskidentification, probability·impactassessment, responsestrategyestablish, monitoringplan, statusreport agent team to Korean creation Full pipeline. 'risk management', 'risk etc.recorddepartment', 'risk managementversus', 'risk register', 'risk matrix', 'risk assessment', 'risk response', 'project risk management', 'risk monitoring', 'risk report', 'EMV analysis', 'risk ' etc. project risk management before skill usage. However, insurance total, risk(VaR/CVaR), actualtime risk dashboard whensystem building, ERM(beforecompany risk management) annual is outside this skill's scope.
What it loads into context
Frontmatter
140 tokensAlways available to the agent
SKILL.md
1,511 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- execution mode
- agent composition
- workflow
- task scaleby mode
- data deliver protocol
- error handling
- test scenario
- agentby extension skill
Files
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# Risk Register — project risk managementversus Full pipeline
project risk identification→assessment→response→monitoring→reporting An agent team collaborates to generate all deliverables at once.
## execution mode
**agent team** — 5 agents communicate directly via SendMessage and cross-verify each other's work.
## agent composition
| agent | file | role | type |
|---------|------|------|------|
| risk-identifier | `.claude/agents/risk-identifier.md` | risk identification, RBS | general-purpose |
| assessment-analyst | `.claude/agents/assessment-analyst.md` | probability·impact assessment, matrix | general-purpose |risk-response-patterns
When your agent uses it
risk response strategy pattern library. response-strategist and monitoring-planner agent risk response plan establishto do when reference. 'risk response', 'mitigation strategy', 'response plan' request when usage. However, insurance design legal risk specialistdocument scope outside.
What it loads into context
Frontmatter
63 tokensAlways available to the agent
SKILL.md
1,013 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 4versus response strategy
- risk response planfrom template
- risk monitoring dashboard
- quality checklist
Files
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# Risk Response Patterns — risk response strategy pattern
response-strategist / monitoring-planner agent response plan establish competency .
## 4versus response strategy
| strategy | description | quality condition | cost |
|------|------|----------|------|
| **avoidance (Avoid)** | risk cause | score ≥16, possible | High |
| **transfer (Transfer)** | 3specialistto responsibility before | financialquality impact, specialistnature insufficient | duringbetween |
| **mitigation (Mitigate)** | probability/impact decrease | versusdepartmentminute risk | duringbetween |
| **acceptance (Accept)** | risk number | score ≤4, cost > and | Low |
### strategyby detailed patternrisk-scoring-matrix
When your agent uses it
risk assessment matrix and analysis tool. assessment-analyst agent risk probability and impact systematicas assessmentto do when reference. 'risk matrix', 'probability impact analysis', 'risk score' request when usage. However, insurance total risk model scope outside.
What it loads into context
Frontmatter
62 tokensAlways available to the agent
SKILL.md
1,163 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 5x5 probability-impact matrix
- risk category classification (RBS)
- quality risk analysis
- risk etc.recorddepartment template
- KRI (Key Risk Indicator) design
- quality checklist
Files
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# Risk Scoring Matrix — risk assessment matrix
assessment-analyst agent risk /nature assessment tablelevel.
## 5x5 probability-impact matrix
### probability etc.grade
| etc.grade | score | probability scope | description |
|------|------|----------|------|
| Low | 1 | <5% | occurrencedegree |
| Low | 2 | 5~20% | possiblenature Low |
| report | 3 | 20~50% | occurrenceto do number |
| High | 4 | 50~80% | occurrence possiblenature High |budget-planning
When your agent uses it
event budget plan framework. concept-planner and logistics-manager agent event budget establishand managementto do when reference. 'event budget', 'cost calculation', 'budget allocation' request when usage. However, total processing tax scope outside.
What it loads into context
Frontmatter
55 tokensAlways available to the agent
SKILL.md
812 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- event budget category
- budget calculation template
- cost reduction strategy
- from guide
- quality checklist
Files
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# Budget Planning — event budget plan
concept-planner / logistics-manager agent budget establish competency .
## event budget category
### cost structure (tablelevel allocation)
| category | ratio | taxdepartment item |
|---------|------|----------|
| venue | 25~35% | versus, departmentversuswhen, insurance |
| catering | 20~30% | , from, equipment |
| content | 15~20% | speaker, content work, equipment |
| | 10~15% | promotion, person, degree |event-organizer
When your agent uses it
event concept basis, venue·logistics, program design, promotion, execution plan, companyafter assessment agent team to Korean creation Full pipeline. 'event basis', 'event preparation', ' basis', 'taxun- preparation', ' design', ' event', 'beforewhen basis', ' basis', 'event program', 'event promotion', 'event checklist', 'event budget' etc. event basis·operations before skill usage. scale team department versusscale to all scale applied possible. However, actual venue exampleapprox., processing, actualtime technical operations, quality person work is outside this skill's scope.
What it loads into context
Frontmatter
130 tokensAlways available to the agent
SKILL.md
1,439 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- execution mode
- agent composition
- workflow
- task scaleby mode
- data deliver protocol
- error handling
- test scenario
- agentby extension skill
Files
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# Event Organizer — event basis·operations Full pipeline
event concept→venue→program→promotion→execution→companyafterassessment An agent team collaborates to generate all deliverables at once.
## execution mode
**agent team** — 5 agents communicate directly via SendMessage and cross-verify each other's work.
## agent composition
| agent | file | role | type |
|---------|------|------|------|
| concept-planner | `.claude/agents/concept-planner.md` | concept, goal, target, budget | general-purpose |
| logistics-manager | `.claude/agents/logistics-manager.md` | venue, flow of movement, equipment, planbefore | general-purpose |venue-evaluation
When your agent uses it
venue assessment scorecard. logistics-manager agent event venue comparison assessmentto do when reference. 'venue assessment', ' comparison', 'venue ' request when usage. However, venue exampleapprox. versus totalapprox. scope outside.
What it loads into context
Frontmatter
53 tokensAlways available to the agent
SKILL.md
944 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- venue assessment standard (during scorecard)
- event typeby venue requirement
- current company checklist
- totalapprox. confirm matters
- quality checklist
Files
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# Venue Evaluation — venue assessment scorecard
logistics-manager agent venue decision-making total.
## venue assessment standard (during scorecard)
| standard | duringvalue | assessment item |
|------|--------|----------|
| nature | 20% | versusduring, weekgap, |
| acceptancecapability | 20% | personKRW, annualnature |
| when/equipment | 15% | AV, WiFi, beforecapability, people |
| cost | 15% | versus, departmentversuscost, negotiation degree |
| catering | 10% | withindepartment/external, quality, limitation |
| minutecrisis | 10% | specialistperson, brand qualitynature |competency-model
When your agent uses it
competency model design framework. jd-writer and screening-expert agent jobby core competency definitionand assessment standard establishto do when reference. 'competency model', 'job competency', 'skill matrix' request when usage. However, personcompany assessment whensystem building grade total design scope outside.
What it loads into context
Frontmatter
69 tokensAlways available to the agent
SKILL.md
853 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- competency model structure
- jobby competency mapping examplewhen
- JD writing competency annualtotal
- screening matrix
- quality checklist
Files
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# Competency Model — competency model design
jd-writer / screening-expert agent competency based hiring design competency .
## competency model structure
### 3total competency framework
| total | description | examplewhen |
|------|------|------|
| core competency (Core) | beforecompany | client during, , |
| leadership competency | managementspecialist or more | vision present, , decision-making |
| job competency (Functional) | job | , data analysis, specialistperson |
hiring-pipeline
When your agent uses it
hiring process JDwriting, sourcing, screening, interview design, assessment, offerto agent team to Korean creation Full pipeline. 'hiring', 'talent hiring', 'JD writing', 'job description', 'hiringposting', 'interview question', 'interview design', 'hiring process', 'sourcing strategy', 'screening', 'offer', 'hiring pipeline', 'hiring', 'talent secure' etc. hiring before skill usage. However, actual hiring platform(ATS) annual, grade whensystem etc.record, hiring totalapprox.from legal capability report, reference execution is outside this skill's scope.
What it loads into context
Frontmatter
138 tokensAlways available to the agent
SKILL.md
1,441 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- execution mode
- agent composition
- workflow
- task scaleby mode
- data deliver protocol
- error handling
- test scenario
- agentby extension skill
Files
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# Hiring Pipeline — hiring process Full pipeline
hiring JDwriting→sourcing→screening→interview→assessment→offer An agent team collaborates to generate all deliverables at once.
## execution mode
**agent team** — 5 agents communicate directly via SendMessage and cross-verify each other's work.
## agent composition
| agent | file | role | type |
|---------|------|------|------|
| jd-writer | `.claude/agents/jd-writer.md` | job description, hiringposting | general-purpose |
| sourcing-specialist | `.claude/agents/sourcing-specialist.md` | channelstrategy, value | general-purpose |interview-scorecard
When your agent uses it
structure interview design and evaluation form framework. interview-designer agent interview process designand assessment standard tablelevelto do when reference. 'interview design', 'evaluation form', 'structure interview' request when usage. However, interview actualwhen pass scope outside.
What it loads into context
Frontmatter
60 tokensAlways available to the agent
SKILL.md
1,111 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- structure interview principle
- BEI (Behavioral Event Interview) question design
- assessment scorecard design
- interviewer degree
- hiring pipeline beforeexchange value
- quality checklist
Files
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# Interview Scorecard — structure interview design
interview-designer agent interview process design competency .
## structure interview principle
### structure vs structure
| item | structure | structure |
|------|---------|--------|
| question | interviewer specialist | companybefore design |
| assessment | /person | scorecard |
| example also | 0.2~0.4 | 0.5~0.7 |
| legal risk | High | Low |buddy-program-guide
When your agent uses it
Buddy/mentor program design guide. Referenced by the mentor-matcher agent when matching new hire mentors/buddies and structuring programs. Used for 'buddy program', 'mentor matching', 'onboarding buddy' requests. Note: HR system integration and actual personnel assignments are out of scope.
What it loads into context
Frontmatter
68 tokensAlways available to the agent
SKILL.md
872 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Buddy vs Mentor Distinction
- Buddy Matching Criteria
- Buddy Activity Guide
- Mentoring Conversation Structure
- Program Operations Templates
- Quality Checklist
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# Buddy Program Guide — Buddy/Mentor Program Design
Enhances the mentor-matcher agent's mentor/buddy program design capabilities.
## Buddy vs Mentor Distinction
| Aspect | Buddy | Mentor |
|--------|-------|--------|
| Purpose | Adaptation support, culture guidance | Career growth, professional development |
| Duration | 1-3 months | 6-12 months |
| Relationship | Peer/slightly senior | Senior/leader |
| Topics | Daily life, team culture, systems | Skills, career, performance |
| Meetings | Daily to 2x/week | Biweekly to monthly |
| Format | Informal | Structured |learning-path-design
When your agent uses it
Learning path design framework. Referenced by training-builder and onboarding-architect agents when designing new hire learning curricula. Used for 'learning path', 'curriculum design', 'training program' requests. Note: LMS system development and e-learning content production are out of scope.
What it loads into context
Frontmatter
63 tokensAlways available to the agent
SKILL.md
861 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Learning Path Design Principles
- 30-60-90 Day Learning Path Template
- Learning Objective Design (Bloom's Taxonomy)
- Assessment Framework (Kirkpatrick 4 Levels)
- Quality Checklist
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# Learning Path Design
Enhances the curriculum design capabilities of training-builder / onboarding-architect agents.
## Learning Path Design Principles
### ADDIE Model Application
| Phase | Onboarding Application | Deliverable |
|-------|----------------------|-------------|
| Analysis | Job competency gap analysis | Competency gap matrix |
| Design | Learning objectives + path design | Curriculum map |
| Development | Training content development | Lesson plans, quizzes, labs |
| Implementation | Training execution | Schedule, progress tracker |onboarding-system
When your agent uses it
A full pipeline where an agent team collaborates to generate onboarding checklists, training, mentor assignments, and 30-60-90 day plans for new hires all at once. Use this skill for 'onboarding', 'new hire', 'new employee training', 'onboarding checklist', 'mentor assignment', '30-60-90', 'onboarding program', 'new employee orientation', 'onboarding process', 'first day', 'new employee adaptation', and similar new hire onboarding topics. Applicable to full-time, contract, intern, and remote new hires. Note: actual HR system (SAP, Workday) integration, payroll/tax processing, legal review of employment contracts, and security system access provisioning are out of scope.
What it loads into context
Frontmatter
156 tokensAlways available to the agent
SKILL.md
1,562 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Roster
- Workflow
- Execution Modes by Scope
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
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# Onboarding System — New Hire Onboarding Full Pipeline
Generates new hire onboarding checklists, training, mentor assignments, and 30-60-90 day plans through agent team collaboration in a single pass.
## Execution Mode
**Agent Team** — 5 members communicate directly via SendMessage and cross-validate each other's work.
## Agent Roster
| Agent | File | Role | Type |
|-------|------|------|------|
| onboarding-architect | `.claude/agents/onboarding-architect.md` | Checklists, schedules, stakeholders | general-purpose |
| training-builder | `.claude/agents/training-builder.md` | Curriculum, learning materials, quizzes | general-purpose |flowchart-standards
When your agent uses it
Process flowchart standards guide. Notation and patterns referenced by the flowchart-designer agent when visualizing business processes in Mermaid. Used for 'flowchart standards', 'process diagram' requests. Note: BPM engine implementation is out of scope.
What it loads into context
Frontmatter
60 tokensAlways available to the agent
SKILL.md
722 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Standard Symbol System
- Process Type Patterns
- Complexity Management Rules
- Process-Document Mapping
- Quality Checklist
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# Flowchart Standards — Process Flowchart Standards
Standardizes the flowchart-designer agent's process visualization quality.
## Standard Symbol System
| Symbol | Mermaid | Meaning | Usage |
|--------|---------|---------|-------|
| Rounded rectangle | `([text])` | Start/End | Process entry/exit |
| Rectangle | `[text]` | Processing/Task | Unit work activity |
| Diamond | `{text}` | Decision/Branch | Decision point |
| Parallelogram | `[/text/]` | Input/Output | Document/Data |
| Cylinder | `[(text)]` | Data store | DB/System |
| Subgraph | `subgraph` | Area grouping | Department/Phase |knowledge-base-design
When your agent uses it
Knowledge base design guide. Referenced by faq-builder and manual-writer agents when systematically organizing FAQs and troubleshooting guides. Used for 'FAQ design', 'knowledge management', 'troubleshooting guide' requests. Note: wiki system implementation is out of scope.
What it loads into context
Frontmatter
60 tokensAlways available to the agent
SKILL.md
868 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- FAQ Design Principles
- Troubleshooting Guide Structure
- Knowledge Management Lifecycle
- Search Optimization
- Quality Checklist
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# Knowledge Base Design
Enhances the knowledge systematization capabilities of faq-builder / manual-writer agents.
## FAQ Design Principles
### FAQ Category Design
```
Step 1: User journey-based classification
Getting started → Basic usage → Advanced features → Troubleshooting → Administration
Step 2: 5-10 questions per category
- Sort by frequency (highest first)operations-manual
When your agent uses it
An automated operations manual generation pipeline. An agent team collaborates to analyze existing documents and code to produce process flowcharts, step-by-step manuals, FAQs, and training materials. Use this skill for 'create operations manual', 'write SOP', 'auto-generate SOP', 'process documentation', 'manual writing', 'create work guide', 'procedure automation', 'create training materials', and similar process documentation topics. Code review, technical document translation, and marketing content creation are out of scope.
What it loads into context
Frontmatter
107 tokensAlways available to the agent
SKILL.md
1,663 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Roster
- Workflow
- Execution Modes by Scope
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
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# Operations Manual — Automated Operations Manual Generation Pipeline
Analyzes existing documents, code, and wikis to produce process flowcharts, step-by-step manuals, FAQs, and training materials through agent team collaboration.
## Execution Mode
**Agent Team** — 5 members communicate directly via SendMessage and cross-validate each other's work.
## Agent Roster
| Agent | File | Role | Type |
|-------|------|------|------|
| document-analyst | `.claude/agents/document-analyst.md` | Existing document/code analysis, process extraction | general-purpose |
| flowchart-designer | `.claude/agents/flowchart-designer.md` | Mermaid flowcharts, RACI matrix | general-purpose |feedback-analyzer
When your agent uses it
A comprehensive customer/employee feedback analysis pipeline. An agent team collaborates to handle data collection, sentiment analysis, topic classification, trend detection, and insight reporting. Use this skill for 'analyze feedback', 'customer review analysis', 'survey results analysis', 'VOC analysis', 'employee satisfaction analysis', 'NPS analysis', 'customer complaint analysis', 'feedback trends', 'sentiment analysis', and similar feedback/review/survey analysis topics. Survey design, customer response manual creation, and CRM system development are out of scope.
What it loads into context
Frontmatter
115 tokensAlways available to the agent
SKILL.md
1,576 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Roster
- Workflow
- Execution Modes by Scope
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
skill.mdcore7,294 bytesskill.mdcore7,294 bytes
Read SKILL.md
# Feedback Analyzer — Comprehensive Feedback Analysis Pipeline
Collects and analyzes customer/employee feedback data to produce sentiment analysis, topic classification, trend detection, and insight reports through agent team collaboration.
## Execution Mode
**Agent Team** — 5 members communicate directly via SendMessage and cross-validate each other's work.
## Agent Roster
| Agent | File | Role | Type |
|-------|------|------|------|
| data-collector | `.claude/agents/data-collector.md` | Data collection, cleansing, normalization | general-purpose |
| sentiment-analyst | `.claude/agents/sentiment-analyst.md` | Sentiment analysis, emotion scoring | general-purpose |sentiment-scoring
When your agent uses it
Sentiment analysis scoring framework. Referenced by the sentiment-analyst agent for systematic sentiment classification and scoring of text data. Used for 'sentiment analysis', 'emotion score', 'NPS analysis' requests. Note: ML model training and NLP pipeline development are out of scope.
What it loads into context
Frontmatter
66 tokensAlways available to the agent
SKILL.md
902 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Sentiment Classification System
- Sentiment Analysis Methodology
- NPS (Net Promoter Score) Analysis
- Sentiment Trend Analysis
- Quality Checklist
Files
skill.mdcore3,543 bytes
Read SKILL.md
# Sentiment Scoring
Enhances the sentiment-analyst agent's sentiment classification and scoring capabilities.
## Sentiment Classification System
### 3-Level Basic Classification
| Classification | Score Range | Signal Words |
|---------------|------------|--------------|
| Positive | +0.5 to +1.0 | good, satisfied, recommend, convenient, best |
| Neutral | -0.5 to +0.5 | average, okay, so-so |
| Negative | -1.0 to -0.5 | dissatisfied, disappointed, worst, inconvenient, slow |
text-analytics-methods
When your agent uses it
Text analytics methodology. Referenced by topic-classifier and trend-detector agents when extracting topics and deriving trends from unstructured text. Used for 'topic classification', 'keyword analysis', 'text mining' requests. Note: NLP model training and large-scale data processing pipeline development are out of scope.
What it loads into context
Frontmatter
70 tokensAlways available to the agent
SKILL.md
883 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Topic Classification Methodology
- Keyword Analysis
- Trend Analysis Techniques
- Insight Derivation Framework
- Quality Checklist
Files
skill.mdcore3,672 bytes
Read SKILL.md
# Text Analytics Methods
Enhances the text analysis capabilities of topic-classifier / trend-detector agents.
## Topic Classification Methodology
### Bottom-up Classification
```
1. Read all feedback (sample: 100+ entries)
2. Identify recurring keywords/phrases
3. Cluster similar keywords
4. Assign topic names to clusters
5. Finalize topic system (MECE verification)audit-report
When your agent uses it
An internal audit report generation pipeline. An agent team collaborates to produce everything from audit scope design through checklists, findings, improvement recommendations, and tracking ledgers. Use this skill for 'create audit report', 'internal audit preparation', 'create audit checklist', 'organize audit findings', 'corrective action plan', 'audit tracking ledger', 'compliance audit', 'operational audit report', and similar internal audit topics. External financial audits, tax investigations, and litigation-related audits are out of scope.
What it loads into context
Frontmatter
110 tokensAlways available to the agent
SKILL.md
1,593 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Execution Mode
- Agent Roster
- Workflow
- Execution Modes by Scope
- Data Transfer Protocol
- Error Handling
- Test Scenarios
- Agent Extension Skills
Files
skill.mdcore7,649 bytes
Read SKILL.md
# Audit Report — Internal Audit Report Generation Pipeline
Generates audit scope design, checklists, findings analysis, improvement recommendations, and implementation tracking ledgers through agent team collaboration.
## Execution Mode
**Agent Team** — 5 members communicate directly via SendMessage and cross-validate each other's work.
## Agent Roster
| Agent | File | Role | Type |
|-------|------|------|------|
| scope-designer | `.claude/agents/scope-designer.md` | Audit scope, criteria, plan design | general-purpose |
| checklist-builder | `.claude/agents/checklist-builder.md` | Control items, test procedures, evidence | general-purpose |finding-classification
When your agent uses it
Audit finding classification and reporting framework. Referenced by findings-analyst and recommendation-writer agents when systematically classifying findings and writing improvement recommendations. Used for 'finding classification', 'audit reporting', 'improvement recommendations' requests. Note: legal sanction decisions and disciplinary procedures are out of scope.
What it loads into context
Frontmatter
68 tokensAlways available to the agent
SKILL.md
848 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Finding Rating System
- Finding Report Structure
- Root Cause Analysis
- Recommendation Writing Rules
- Implementation Tracking Ledger
- Quality Checklist
Files
skill.mdcore4,130 bytes
Read SKILL.md
# Finding Classification — Finding Classification Framework
Enhances the finding classification and reporting capabilities of findings-analyst / recommendation-writer agents.
## Finding Rating System
### 4-Level Classification
| Rating | Name | Definition | Response Timeline |
|--------|------|-----------|-------------------|
| Critical | Critical | Risk of major loss/regulatory violation | Immediate (7 days) |
| High | High | Key control failure, recurring | 30 days |
| Medium | Medium | Partial control deficiency, improvement needed | 90 days |
| Low | Low | Efficiency improvement, best practice suggestion | 180 days |internal-control-framework
When your agent uses it
Internal control framework guide. Referenced by scope-designer and checklist-builder agents when designing audit scope and control items. Used for 'COSO', 'internal controls', 'control testing' requests. Note: external audit representation and legal opinion preparation are out of scope.
What it loads into context
Frontmatter
62 tokensAlways available to the agent
SKILL.md
739 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- COSO Internal Control Framework
- Audit Scope Design Framework
- Checklist Design Patterns
- Quality Checklist
Files
skill.mdcore3,556 bytes
Read SKILL.md
# Internal Control Framework
Enhances the audit design capabilities of scope-designer / checklist-builder agents.
## COSO Internal Control Framework
### 5 Components
| Component | Description | Audit Points |
|-----------|-------------|-------------|
| Control Environment | Organizational culture, ethics, competence | Code of ethics, segregation of duties, training |
| Risk Assessment | Identification/analysis of risks to objectives | Risk assessment process, documentation |
| Control Activities | Policies/procedures responding to risks | Approvals, verification, physical controls |
| Information/Communication | Timely delivery of necessary information | Reporting structure, IT controls |Skills included
- hook-writing
- thumbnail-psychology
- youtube-production
- audio-storytelling
- interview-techniques
- podcast-growth
- podcast-studio
- audience-segmentation
- deliverability-optimization
- email-copywriting
- newsletter-engine
- content-atomization
- content-repurposer
- platform-adaptation
- branching-logic
- dialogue-systems
- game-narrative
- quest-design-patterns
- brand-archetype
- brand-identity
- color-psychology
- naming-methodology
- character-design-system
- comic-creator
- panel-composition
- visual-narrative
- assessment-engineering
- course-builder
- lab-scaffolding
- learning-design
- documentary-research
- interview-design
- investigative-research
- narrative-structure
- hashtag-science
- platform-algorithms
- social-media-manager
- viral-copywriting
- ip-landscape-analysis
- ip-portfolio
- patent-valuation
- book-metadata-seo
- book-publishing
- cover-design-psychology
- developmental-editing
- ad-copywriting-formulas
- advertising-campaign
- media-mix-calculator
- data-visualization-guide
- presentation-designer
- slide-layout-patterns
- cultural-adaptation-guide
- translation-localization
- translation-quality-mqm
- image-prompt-engineering
- narrative-structure-patterns
- visual-storytelling
- api-security-checklist
- component-patterns
- fullstack-webapp
- app-store-optimization
- mobile-app-builder
- mobile-ux-patterns
- api-designer
- api-error-design
- rest-api-conventions
- database-architect
- normalization-patterns
- query-optimization-catalog
- cicd-pipeline
- deployment-strategies
- pipeline-security-gates
- code-reviewer
- refactoring-catalog
- vulnerability-patterns
- dependency-analysis
- legacy-modernizer
- strangler-fig-patterns
- ddd-context-mapping
- distributed-patterns
- microservice-designer
- mocking-strategy
- test-automation
- test-design-patterns
- incident-postmortem
- rca-methodology
- sla-impact-calculator
- cloud-cost-models
- infra-as-code
- terraform-module-patterns
- dag-orchestration-patterns
- data-pipeline
- data-quality-framework
- cve-analysis
- owasp-testing-guide
- security-audit
- threat-modeling
- caching-strategy-selector
- performance-optimizer
- query-optimization-patterns
- community-health-metrics
- license-compatibility-matrix
- open-source-launcher
- experiment-tracking-setup
- feature-engineering-cookbook
- ml-experiment
- model-selection-guide
- data-analysis
- statistical-tests-selector
- visualization-chooser
- nlp-preprocessing-toolkit
- sentiment-lexicon-builder
- text-processor
- data-migration
- data-validation-patterns
- type-mapping-encyclopedia
- api-client-generator
- openapi-spec-patterns
- sdk-design-patterns
- design-system
- token-generator
- wcag-checker
- anti-bot-analyzer
- selector-generator
- web-scraper
- chatbot-builder
- conversation-flow-validator
- intent-taxonomy-builder
- changelog-generator
- commit-parser
- semver-analyzer
- arg-parser-generator
- cli-tool-builder
- ux-linter
- chunking-strategy-guide
- llm-app-builder
- prompt-optimizer
- bi-dashboard
- chart-selector
- kpi-tree-builder
- pitch-deck-framework
- startup-launcher
- unit-economics-calculator
- market-research
- porter-five-forces
- tam-sam-som-calculator
- budget-standard-checker
- gov-funding-plan
- scoring-optimizer
- product-manager
- rice-prioritizer
- story-point-estimator
- okr-quality-checker
- strategy-framework
- tows-matrix-builder
- objection-handler
- roi-calculator
- sales-enablement
- csat-analyzer
- customer-support
- escalation-flowchart
- price-elasticity-calculator
- pricing-strategy
- psm-analyzer
- financial-ratio-analyzer
- investor-report
- ir-narrative-builder
- kpi-benchmark-engine
- decision-trigger-mapper
- scenario-narrative-engine
- scenario-planner
- steep-framework
- dcf-valuation
- financial-modeler
- sensitivity-analysis
- unit-economics
- budget-rule-engine
- grant-writer
- scoring-optimizer
- pricing-calculator
- rfp-responder
- win-theme-builder
- cefr-assessment
- language-tutor
- spaced-repetition
- bloom-taxonomy-engine
- error-pattern-analyzer
- exam-prep
- academic-writing-style
- research-methodology
- thesis-advisor
- code-kata-generator
- coding-bootcamp
- tech-interview-prep
- argumentation-framework
- debate-simulator
- logical-fallacy-detector
- bars-assessment
- competency-modeler
- ksa-taxonomy
- adr-writer
- madr-template-engine
- quality-attribute-analyzer
- citation-formatter
- research-assistant
- systematic-review-protocol
- content-lifecycle-manager
- information-architecture
- knowledge-base-builder
- ats-optimizer
- linkedin-seo
- personal-branding
- clause-risk-database
- contract-analyzer
- negotiation-playbook
- audit-checklist-engine
- compliance-checker
- regulation-knowledge-base
- claim-drafting-patterns
- patent-drafter
- prior-art-search-strategy
- data-flow-mapper
- privacy-engineer
- service-legal-docs
- permit-requirements-db
- fitness-program
- periodization-engine
- budget-calculator
- route-optimizer
- travel-planner
- color-harmony-engine
- space-concept-board
- spatial-layout-guide
- compound-interest-simulator
- financial-ratio-analyzer
- personal-finance
- market-sizing-calculator
- side-project-launcher
- techstack-decision-matrix
- vendor-negotiation-guide
- wedding-budget-optimizer
- wedding-planner
- api-doc-standards
- code-example-patterns
- diagram-patterns
- technical-writer
- data-visualization-guide
- kpi-dashboard-patterns
- report-generator
- checklist-design
- process-mapping
- sop-writer
- decision-frameworks
- facilitation-techniques
- meeting-strategist
- audience-engagement
- public-speaking
- rhetoric-patterns
- proposal-writer
- roi-calculator
- win-theme-builder
- crisis-communication
- media-response-templates
- stakeholder-mapping
- risk-register
- risk-response-patterns
- risk-scoring-matrix
- budget-planning
- event-organizer
- venue-evaluation
- competency-model
- hiring-pipeline
- interview-scorecard
- buddy-program-guide
- learning-path-design
- onboarding-system
- flowchart-standards
- knowledge-base-design
- operations-manual
- feedback-analyzer
- sentiment-scoring
- text-analytics-methods
- audit-report
- finding-classification
- internal-control-framework
Showing 300 of 630 skills. See GitHub for the complete repository.
Repository facts
- License
- Apache-2.0
- Created
- Mar 22, 2026
- Last pushed
- Mar 22, 2026
- Forks
- 459
- Open issues
- 0
- Project activity
- Slowing
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Before you install
Network or broad shellAutomated signals, not a guarantee
Checked Nov 3, 2026
Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.
Show 283 notes
en/04-content-repurposer/.claude/skills/content-atomization/skill.md:1Analysis incomplete: Referenced executable target unavailable; not analyzeden/04-content-repurposer/.claude/skills/content-atomization/skill.md:1Analysis incomplete: Referenced executable target unavailable; not analyzeden/04-content-repurposer/.claude/skills/content-atomization/skill.md:1Analysis incomplete: Referenced executable target unavailable; not analyzeden/04-content-repurposer/.claude/skills/content-atomization/skill.md:1Analysis incomplete: Referenced executable target unavailable; not analyzeden/04-content-repurposer/.claude/skills/content-atomization/skill.md:1Analysis incomplete: Referenced executable target unavailable; not analyzeden/04-content-repurposer/.claude/skills/content-atomization/skill.md:1Analysis incomplete: Referenced executable target unavailable; not analyzeden/04-content-repurposer/.claude/skills/content-atomization/skill.md:1Analysis incomplete: Referenced executable target unavailable; not analyzeden/04-content-repurposer/.claude/skills/content-repurposer/skill.md:1Analysis incomplete: Referenced executable target unavailable; not analyzeden/04-content-repurposer/.claude/skills/content-repurposer/skill.md:1Analysis incomplete: Referenced executable target unavailable; not analyzeden/04-content-repurposer/.claude/skills/content-repurposer/skill.md:1Analysis incomplete: Referenced executable target unavailable; not analyzeden/04-content-repurposer/.claude/skills/content-repurposer/skill.md:1Analysis incomplete: Referenced executable target unavailable; not analyzeden/04-content-repurposer/.claude/skills/content-repurposer/skill.md:1Analysis incomplete: Referenced executable target unavailable; not analyzeden/04-content-repurposer/.claude/skills/content-repurposer/skill.md:1Analysis incomplete: Referenced executable target unavailable; not analyzeden/04-content-repurposer/.claude/skills/content-repurposer/skill.md:1Analysis incomplete: Referenced executable target unavailable; not analyzeden/07-comic-creator/.claude/skills/visual-narrative/skill.md:1Analysis incomplete: Referenced executable target unavailable; not analyzeden/09-documentary-research/.claude/skills/documentary-research/skill.md:1Analysis incomplete: Referenced executable target unavailable; not analyzeden/09-documentary-research/.claude/skills/documentary-research/skill.md:1Analysis incomplete: Referenced executable target unavailable; not analyzeden/09-documentary-research/.claude/skills/documentary-research/skill.md:1Analysis incomplete: Referenced executable target unavailable; not analyzeden/09-documentary-research/.claude/skills/documentary-research/skill.md:1Analysis incomplete: Referenced executable target unavailable; not analyzeden/09-documentary-research/.claude/skills/investigative-research/skill.md:1Analysis incomplete: Referenced executable target unavailable; not analyzed
- No broad tool permissions
- 2 dangerous shell commandsin 2 files: vulnerability-patterns/skill.md:124 vulnerability-patterns/skill.md:124
- 104 network referencesin 33 files: mocking-strategy/skill.md:55 exercise-biomechanics/skill.md:98 mocking-strategy/skill.md:55 and 30 more
- No hidden or obfuscated text
- No instruction overrides
- No executable scripts
- 18 references to secretsin 10 files: sdk-design-patterns/skill.md:36 code-example-patterns/skill.md:32 sdk-design-patterns/skill.md:36 and 7 more
- No requests to vote in Hot
Show all 124 signals by file
en/14-translation-localization/.claude/skills/cultural-adaptation-guide/skill.md
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| Terminology | API, SDK, OAuth | Source text (when description) | | / | `{username}`, `%d` | vs | | URL/ | https://..., info@... | URL substitution | - Network accessline 127
| / | `{username}`, `%d` | vs | | URL/ | https://..., info@... | URL substitution | | | GDPR, CCPA | Source text + | - Network accessline 128
| URL/ | https://..., info@... | URL substitution |
en/16-fullstack-webapp/.claude/skills/api-security-checklist/skill.md
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| Environment | Setting | |------------|---------| | Development | `origin: 'http://localhost:3000'` | - Network accessline 94
|------------|---------| | Development | `origin: 'http://localhost:3000'` | | Production | `origin: ['https://example.com']` — specify domains | - Network accessline 95
| Development | `origin: 'http://localhost:3000'` | - Network accessline 96
| Production | `origin: ['https://example.com']` — specify domains |
en/18-api-designer/.claude/skills/rest-api-conventions/skill.md
en/21-code-reviewer/.claude/skills/vulnerability-patterns/skill.md
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eval(userInput); - Network accessline 153
// Safe DocumentBuilderFactory dbf = DocumentBuilderFactory.newInstance(); dbf.setFeature("http://apache.org/xml/features/disallow-doctype-decl", true); - Network accessline 154
DocumentBuilderFactory dbf = DocumentBuilderFactory.newInstance(); dbf.setFeature("http://apache.org/xml/features/disallow-doctype-decl", true); dbf.setFeature("http://xml.org/sax/features/external-general-entities", false); - Network accessline 155
dbf.setFeature("http://apache.org/xml/features/disallow-doctype-decl", true); - Network accessline 156
dbf.setFeature("http://xml.org/sax/features/external-general-entities", false);
en/24-test-automation/.claude/skills/mocking-strategy/skill.md
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def test_payment_api(): responses.add( responses.POST, "https://api.pg.com/charge", - Network accessline 56
responses.add( responses.POST, "https://api.pg.com/charge", json={"status": "success", "tx_id": "TX123"}, - Network accessline 57
responses.POST, "https://api.pg.com/charge", - Network accessline 64
# Timeout / Error simulation responses.add( responses.POST, "https://api.pg.com/charge", - Network accessline 65
responses.add( responses.POST, "https://api.pg.com/charge", body=ConnectionError("timeout") - Network accessline 66
responses.POST, "https://api.pg.com/charge",
en/28-security-audit/.claude/skills/owasp-testing-guide/skill.md
en/30-open-source-launcher/.claude/skills/community-health-metrics/skill.md
en/31-ml-experiment/.claude/skills/experiment-tracking-setup/skill.md
en/35-api-client-generator/.claude/skills/openapi-spec-patterns/skill.md
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flows: authorizationCode: authorizationUrl: https://auth.example.com/authorize - Network accessline 61
authorizationCode: authorizationUrl: https://auth.example.com/authorize tokenUrl: https://auth.example.com/token - Network accessline 62
authorizationUrl: https://auth.example.com/authorize - Network accessline 63
tokenUrl: https://auth.example.com/token
en/35-api-client-generator/.claude/skills/sdk-design-patterns/skill.md
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const client = new ApiClient({ baseUrl: 'https://api.example.com', - Network accessline 35
baseUrl: 'https://api.example.com', - Access to secretsline 36
[Credential-related source omitted] - Network accessline 53
client = ApiClient( base_url="https://api.example.com", - Network accessline 54
base_url="https://api.example.com", - Access to secretsline 55
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en/37-web-scraper/.claude/skills/anti-bot-analyzer/skill.md
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| Defense | Detection Method | Response Strategy | |---------|-----------------|-------------------| | Cookie-based sessions | Set-Cookie tracking | Maintain `requests.Session()` | - Network accessline 27
|---------|-----------------|-------------------| | Cookie-based sessions | Set-Cookie tracking | Maintain `requests.Session()` | | JavaScript rendering required | Empty HTML body | Use Playwright/Puppeteer | - Network accessline 28
| Cookie-based sessions | Set-Cookie tracking | Maintain `requests.Session()` |
en/40-cli-tool-builder/.claude/skills/arg-parser-generator/skill.md
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Journal: Author. (Year). Title. Journal Name, Volume(Issue), Pages. https://doi.org/xxx
en/63-research-assistant/.claude/skills/citation-formatter/skill.md
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Author. (Year). Article title. Journal Name, Volume(Issue), Pages. https://doi.org/xxx
en/74-fitness-program/.claude/skills/exercise-biomechanics/skill.md
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| Back | Lat pulldown | Barbell row | Weighted pull-up | Inverted row | | Shoulder | Machine shoulder press | DB shoulder press | Military press | Pike push-up | | Biceps | Machine curl | Barbell curl | Incline DB curl | Chin-up (supinated) - Network accessline 99
| Shoulder | Machine shoulder press | DB shoulder press | Military press | Pike push-up | | Biceps | Machine curl | Barbell curl | Incline DB curl | Chin-up (supinated) | | Triceps | Cable pushdown | Dips | Close-grip bench | Diamond push-u - Network accessline 100
| Biceps | Machine curl | Barbell curl | Incline DB curl | Chin-up (supinated) | - Network accessline 106
|--------|----------|--------------|----------|-------------------| | Quadriceps | Leg press | Barbell squat | Front squat | Bulgarian split squat | | Hamstrings | Leg curl | RDL | Nordic curl | Sliding leg curl | - Network accessline 107
| Quadriceps | Leg press | Barbell squat | Front squat | Bulgarian split squat | | Hamstrings | Leg curl | RDL | Nordic curl | Sliding leg curl | | Glutes | Bodyweight hip thrust | Barbell hip thrust | Single-leg RDL | Glute bridge | - Network accessline 108
| Hamstrings | Leg curl | RDL | Nordic curl | Sliding leg curl |
en/81-technical-writer/.claude/skills/api-doc-standards/skill.md
- Access to secretsline 104
[Credential-related source omitted] - Network accessline 138
| constraintcondition | , , pattern | | authentication | endpointby needed authority | | SDK example | cURL + 1items or more | - Network accessline 139
| authentication | endpointby needed authority | | SDK example | cURL + 1items or more | | change capability | date + change + impact scope | - Network accessline 140
| SDK example | cURL + 1items or more |
en/81-technical-writer/.claude/skills/code-example-patterns/skill.md
en/98-academic-paper/.claude/skills/citation-standards/skill.md
- Network accessline 26
Kim, J. H., & Lee, S. (2024). Title of article. Journal Name, 15(2), 123-145. https://doi.org/10.xxxx/xxxxx - Network accessline 28
https://doi.org/10.xxxx/xxxxx - Network accessline 37
Webpage: Organization. (2024, January 15). Title of page. https://www.example.com/page - Network accessline 39
https://www.example.com/page
ko/14-translation-localization/.claude/skills/cultural-adaptation-guide/skill.md
- Network accessline 126
| 기술 용어 | API, SDK, OAuth | 원문 유지 (필요시 괄호 설명) | | 코드/변수 | `{username}`, `%d` | 절대 변경 금지 | | URL/이메일 | https://..., info@... | 현지 URL이 있으면 대체 | - Network accessline 127
| 코드/변수 | `{username}`, `%d` | 절대 변경 금지 | | URL/이메일 | https://..., info@... | 현지 URL이 있으면 대체 | | 법적 명칭 | GDPR, CCPA | 원문 유지 + 현지 명칭 병기 | - Network accessline 128
| URL/이메일 | https://..., info@... | 현지 URL이 있으면 대체 |
ko/16-fullstack-webapp/.claude/skills/api-security-checklist/skill.md
- Network accessline 93
| 환경 | 설정 | |------|------| | 개발 | `origin: 'http://localhost:3000'` | - Network accessline 94
|------|------| | 개발 | `origin: 'http://localhost:3000'` | | 프로덕션 | `origin: ['https://example.com']` — 도메인 명시 | - Network accessline 95
| 개발 | `origin: 'http://localhost:3000'` | - Network accessline 96
| 프로덕션 | `origin: ['https://example.com']` — 도메인 명시 |
ko/18-api-designer/.claude/skills/rest-api-conventions/skill.md
ko/21-code-reviewer/.claude/skills/vulnerability-patterns/skill.md
- Dangerous shell operationline 124
eval(userInput); - Network accessline 153
// 안전 DocumentBuilderFactory dbf = DocumentBuilderFactory.newInstance(); dbf.setFeature("http://apache.org/xml/features/disallow-doctype-decl", true); - Network accessline 154
DocumentBuilderFactory dbf = DocumentBuilderFactory.newInstance(); dbf.setFeature("http://apache.org/xml/features/disallow-doctype-decl", true); dbf.setFeature("http://xml.org/sax/features/external-general-entities", false); - Network accessline 155
dbf.setFeature("http://apache.org/xml/features/disallow-doctype-decl", true); - Network accessline 156
dbf.setFeature("http://xml.org/sax/features/external-general-entities", false);
ko/24-test-automation/.claude/skills/mocking-strategy/skill.md
- Network accessline 55
def test_payment_api(): responses.add( responses.POST, "https://api.pg.com/charge", - Network accessline 56
responses.add( responses.POST, "https://api.pg.com/charge", json={"status": "success", "tx_id": "TX123"}, - Network accessline 57
responses.POST, "https://api.pg.com/charge", - Network accessline 64
# 타임아웃 / 에러 시뮬레이션 responses.add( responses.POST, "https://api.pg.com/charge", - Network accessline 65
responses.add( responses.POST, "https://api.pg.com/charge", body=ConnectionError("timeout") - Network accessline 66
responses.POST, "https://api.pg.com/charge",
ko/28-security-audit/.claude/skills/owasp-testing-guide/skill.md
ko/30-open-source-launcher/.claude/skills/community-health-metrics/skill.md
ko/31-ml-experiment/.claude/skills/experiment-tracking-setup/skill.md
ko/35-api-client-generator/.claude/skills/openapi-spec-patterns/skill.md
- Network accessline 60
flows: authorizationCode: authorizationUrl: https://auth.example.com/authorize - Network accessline 61
authorizationCode: authorizationUrl: https://auth.example.com/authorize tokenUrl: https://auth.example.com/token - Network accessline 62
authorizationUrl: https://auth.example.com/authorize - Network accessline 63
tokenUrl: https://auth.example.com/token
ko/35-api-client-generator/.claude/skills/sdk-design-patterns/skill.md
- Network accessline 34
const client = new ApiClient({ baseUrl: 'https://api.example.com', - Network accessline 35
baseUrl: 'https://api.example.com', - Access to secretsline 36
[Credential-related source omitted] - Network accessline 53
client = ApiClient( base_url="https://api.example.com", - Network accessline 54
base_url="https://api.example.com", - Access to secretsline 55
[Credential-related source omitted] - Access to secretsline 61
[Credential-related source omitted]
ko/37-web-scraper/.claude/skills/anti-bot-analyzer/skill.md
- Network accessline 26
| 방어 | 감지 방법 | 대응 전략 | |------|----------|----------| | 쿠키 기반 세션 | Set-Cookie 추적 | `requests.Session()` 유지 | - Network accessline 27
|------|----------|----------| | 쿠키 기반 세션 | Set-Cookie 추적 | `requests.Session()` 유지 | | JavaScript 렌더링 필수 | 빈 HTML body | Playwright/Puppeteer 사용 | - Network accessline 28
| 쿠키 기반 세션 | Set-Cookie 추적 | `requests.Session()` 유지 |
ko/40-cli-tool-builder/.claude/skills/arg-parser-generator/skill.md
- Access to secretsline 25
[Credential-related source omitted]
ko/58-thesis-advisor/.claude/skills/academic-writing-style/skill.md
- Network accessline 114
학술지: 저자. (연도). 제목. 학술지명, 권(호), 페이지. https://doi.org/xxx
ko/63-research-assistant/.claude/skills/citation-formatter/skill.md
- Network accessline 32
저자. (연도). 논문 제목. 학술지명, 권(호), 페이지. https://doi.org/xxx
ko/81-technical-writer/.claude/skills/api-doc-standards/skill.md
- Access to secretsline 104
[Credential-related source omitted] - Network accessline 138
| 제약조건 | 길이, 허용 값, 패턴 | | 인증 | 엔드포인트별 필요 권한 | | SDK 예제 | cURL + 1개 이상 언어 | - Network accessline 139
| 인증 | 엔드포인트별 필요 권한 | | SDK 예제 | cURL + 1개 이상 언어 | | 변경 이력 | 날짜 + 변경 + 영향 범위 | - Network accessline 140
| SDK 예제 | cURL + 1개 이상 언어 |
ko/81-technical-writer/.claude/skills/code-example-patterns/skill.md
- Access to secretsline 32
[Credential-related source omitted] - Network accessline 52
### cURL - 줄바꿈(\)으로 가독성 확보 - Network accessline 76
| 방식 | 장점 | 단점 | 코드 | |------|------|------|------| | 동기 | 단순 | 블로킹 | `result = fetch()` | - Network accessline 77
|------|------|------|------| | 동기 | 단순 | 블로킹 | `result = fetch()` | | 비동기 | 성능 | 복잡 | `result = await fetch()` | - Network accessline 78
| 동기 | 단순 | 블로킹 | `result = fetch()` | - Network accessline 79
| 비동기 | 성능 | 복잡 | `result = await fetch()` | - Access to secretsline 95
[Credential-related source omitted] - Access to secretsline 98
[Credential-related source omitted]
ko/98-academic-paper/.claude/skills/citation-standards/skill.md
- Network accessline 26
Kim, J. H., & Lee, S. (2024). Title of article. Journal Name, 15(2), 123-145. https://doi.org/10.xxxx/xxxxx - Network accessline 28
https://doi.org/10.xxxx/xxxxx - Network accessline 37
웹페이지: Organization. (2024, January 15). Title of page. https://www.example.com/page - Network accessline 39
https://www.example.com/page
How the signals fit together
Facts from a static read of the files at the pinned commit. They describe what the code does, not why.
Some files could not be read; the facts below still hold.
No combined signals at this commit.
Works with
| Agent | Status | Evidence | Install to |
|---|---|---|---|
| Claude Code | Compatible | Standard SKILL.md en/01-youtube-production/.claude/skills/hook-writing/skill.md | .claude/skills/<skill-name>/ |
| Codex | Compatible | Standard SKILL.md en/01-youtube-production/.claude/skills/hook-writing/skill.md | .agents/skills/<skill-name>/ |
| Cursor | Compatible | Standard SKILL.md en/01-youtube-production/.claude/skills/hook-writing/skill.md | .cursor/skills/<skill-name>/ |
| Gemini CLI | Compatible | Standard SKILL.md en/01-youtube-production/.claude/skills/hook-writing/skill.md | .gemini/skills/<skill-name>/ |
| GitHub Copilot | Compatible | Standard SKILL.md en/01-youtube-production/.claude/skills/hook-writing/skill.md | .github/skills/<skill-name>/ |
| OpenCode | Compatible | Standard SKILL.md en/01-youtube-production/.claude/skills/hook-writing/skill.md | .opencode/skills/<skill-name>/ |
- Native The repository ships a manifest, folder or frontmatter field for this agent.
- Compatible A standard SKILL.md that this agent can read.
- Unknown No evidence either way.
Derived automatically from paths, manifests and frontmatter. Not tested on each agent.
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