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aj-geddes/useful-ai-prompts
A curated collection of useful AI prompts for various tasks and use cases
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.
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skills/ab-test-analysis/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
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skills/access-control-rbac/SKILL.md
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skills/accessibility-compliance/SKILL.md
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skills/accessibility-testing/SKILL.md
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skills/agile-sprint-planning/SKILL.md
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skills/alert-management/SKILL.md
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skills/android-kotlin-development/SKILL.md
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skills/angular-module-design/SKILL.md
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skills/anomaly-detection/SKILL.md
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skills/ansible-automation/SKILL.md
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skills/api-authentication/SKILL.md
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skills/api-changelog-versioning/SKILL.md
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skills/api-contract-testing/SKILL.md
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skills/api-error-handling/SKILL.md
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skills/api-filtering-sorting/SKILL.md
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skills/api-gateway-configuration/SKILL.md
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skills/api-pagination/SKILL.md
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skills/api-rate-limiting/SKILL.md
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skills/api-reference-documentation/SKILL.md
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skills/api-response-optimization/SKILL.md
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skills/api-security-hardening/SKILL.md
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skills/api-versioning-strategy/SKILL.md
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skills/app-store-deployment/SKILL.md
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skills/application-logging/SKILL.md
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skills/architecture-diagrams/SKILL.md
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skills/artifact-management/SKILL.md
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skills/autoscaling-configuration/SKILL.md
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skills/aws-cloudfront-cdn/SKILL.md
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skills/aws-ec2-setup/SKILL.md
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skills/aws-lambda-functions/SKILL.md
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skills/aws-rds-database/SKILL.md
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skills/aws-s3-management/SKILL.md
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skills/azure-app-service/SKILL.md
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skills/azure-functions/SKILL.md
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skills/background-job-processing/SKILL.md
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skills/backup-disaster-recovery/SKILL.md
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skills/batch-processing-jobs/SKILL.md
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skills/blue-green-deployment/SKILL.md
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skills/browser-debugging/SKILL.md
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skills/bundle-size-optimization/SKILL.md
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skills/business-case-development/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
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skills/caching-strategy/SKILL.md
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skills/canary-deployment/SKILL.md
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skills/capacity-planning/SKILL.md
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skills/causal-inference/SKILL.md
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skills/changelog-maintenance/SKILL.md
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skills/cicd-pipeline-setup/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
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skills/circuit-breaker-pattern/SKILL.md
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skills/classification-modeling/SKILL.md
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skills/cloud-cost-management/SKILL.md
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skills/cloud-migration-planning/SKILL.md
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skills/cloud-security-configuration/SKILL.md
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skills/cloud-storage-optimization/SKILL.md
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skills/clustering-analysis/SKILL.md
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skills/code-documentation/SKILL.md
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skills/code-generation-template/SKILL.md
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skills/code-metrics-analysis/SKILL.md
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skills/code-review-analysis/SKILL.md
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skills/cohort-analysis/SKILL.md
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skills/color-accessibility/SKILL.md
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skills/competitor-analysis/SKILL.md
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skills/computer-vision/SKILL.md
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skills/concurrency-patterns/SKILL.md
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skills/configuration-management/SKILL.md
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skills/container-debugging/SKILL.md
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skills/container-registry-management/SKILL.md
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skills/continuous-testing/SKILL.md
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skills/correlation-analysis/SKILL.md
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skills/correlation-tracing/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
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skills/cpu-profiling/SKILL.md
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skills/cross-platform-compatibility/SKILL.md
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skills/csrf-protection/SKILL.md
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skills/css-architecture/SKILL.md
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skills/data-cleaning-pipeline/SKILL.md
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skills/data-encryption/SKILL.md
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skills/data-migration-scripts/SKILL.md
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skills/data-replication-setup/SKILL.md
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skills/data-visualization/SKILL.md
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skills/database-backup-restore/SKILL.md
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skills/database-indexing-strategy/SKILL.md
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skills/database-migration-management/SKILL.md
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skills/database-monitoring/SKILL.md
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skills/database-performance-debugging/SKILL.md
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skills/database-query-optimization/SKILL.md
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First observation → 3f5182cfd739
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skills/database-schema-design/SKILL.md
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skills/database-schema-documentation/SKILL.md
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skills/database-sharding/SKILL.md
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skills/dependency-management/SKILL.md
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skills/dependency-tracking/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
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skills/deployment-automation/SKILL.md
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skills/deployment-documentation/SKILL.md
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skills/design-handoff/SKILL.md
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skills/design-patterns-implementation/SKILL.md
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skills/design-system-creation/SKILL.md
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skills/developer-onboarding/SKILL.md
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skills/dimensionality-reduction/SKILL.md
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skills/disaster-recovery-testing/SKILL.md
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skills/distributed-tracing/SKILL.md
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skills/django-application/SKILL.md
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skills/dns-management/SKILL.md
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skills/docker-containerization/SKILL.md
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skills/documentation-site-setup/SKILL.md
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skills/e2e-testing-automation/SKILL.md
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skills/email-service-integration/SKILL.md
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skills/error-tracking/SKILL.md
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skills/event-sourcing/SKILL.md
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skills/exploratory-data-analysis/SKILL.md
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skills/fastapi-development/SKILL.md
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skills/feature-engineering/SKILL.md
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skills/feature-flag-system/SKILL.md
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skills/file-upload-handling/SKILL.md
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skills/flask-api-development/SKILL.md
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skills/flutter-development/SKILL.md
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skills/form-validation/SKILL.md
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skills/frontend-accessibility/SKILL.md
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skills/frontend-routing/SKILL.md
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skills/frontend-state-management/SKILL.md
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skills/frontend-testing/SKILL.md
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skills/funnel-analysis/SKILL.md
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skills/gap-analysis/SKILL.md
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skills/gcp-cloud-functions/SKILL.md
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skills/gcp-cloud-run/SKILL.md
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skills/git-hooks-setup/SKILL.md
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skills/git-workflow-strategy/SKILL.md
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skills/github-actions-workflow/SKILL.md
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skills/gitlab-cicd-pipeline/SKILL.md
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skills/graceful-shutdown/SKILL.md
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skills/grafana-dashboard/SKILL.md
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skills/graphql-implementation/SKILL.md
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skills/grpc-service-development/SKILL.md
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skills/health-check-endpoints/SKILL.md
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skills/idempotency-handling/SKILL.md
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Verified commit 3f5182cfd739fc113f4af5244a1cf342ad7f7911
git clone --filter=blob:none --no-checkout https://github.com/aj-geddes/useful-ai-prompts.git .hotskills/aj-geddes-useful-ai-prompts && git -C .hotskills/aj-geddes-useful-ai-prompts checkout --detach 3f5182cfd739fc113f4af5244a1cf342ad7f7911
# Copy each selected skill directory from .hotskills/aj-geddes-useful-ai-prompts into .claude/skills/<skill-name>/Heat
5.1- Star growth, last 7 daysNot available
- Star growth, last 24 hoursNot available
- Rank movement, last 7 daysNot available
- Commits, last 30 daysNot available
- Accounts asking about it through MCP, last 7 daysNot available
- Hot votes this weekNot available
Heat never changes the order by stars, and sponsorship never touches it. How heat works
Stars over time
30-day change not yet available: not enough history.
Individual skills in this repository
- A/B Test Analysis
skills/ab-test-analysis - access-control-rbac
skills/access-control-rbac - accessibility-compliance
skills/accessibility-compliance - accessibility-testing
skills/accessibility-testing - agile-sprint-planning
skills/agile-sprint-planning - alert-management
skills/alert-management - android-kotlin-development
skills/android-kotlin-development - angular-module-design
skills/angular-module-design - Anomaly Detection
skills/anomaly-detection - ansible-automation
skills/ansible-automation - api-authentication
skills/api-authentication - api-changelog-versioning
skills/api-changelog-versioning - api-contract-testing
skills/api-contract-testing - api-error-handling
skills/api-error-handling - api-filtering-sorting
skills/api-filtering-sorting - api-gateway-configuration
skills/api-gateway-configuration - api-pagination
skills/api-pagination - api-rate-limiting
skills/api-rate-limiting - api-reference-documentation
skills/api-reference-documentation - api-response-optimization
skills/api-response-optimization - api-security-hardening
skills/api-security-hardening - api-versioning-strategy
skills/api-versioning-strategy - app-store-deployment
skills/app-store-deployment - application-logging
skills/application-logging - architecture-diagrams
skills/architecture-diagrams - artifact-management
skills/artifact-management - autoscaling-configuration
skills/autoscaling-configuration - aws-cloudfront-cdn
skills/aws-cloudfront-cdn - aws-ec2-setup
skills/aws-ec2-setup - aws-lambda-functions
skills/aws-lambda-functions - aws-rds-database
skills/aws-rds-database - aws-s3-management
skills/aws-s3-management - azure-app-service
skills/azure-app-service - azure-functions
skills/azure-functions - background-job-processing
skills/background-job-processing - backup-disaster-recovery
skills/backup-disaster-recovery - batch-processing-jobs
skills/batch-processing-jobs - blue-green-deployment
skills/blue-green-deployment - browser-debugging
skills/browser-debugging - bundle-size-optimization
skills/bundle-size-optimization - business-case-development
skills/business-case-development - caching-strategy
skills/caching-strategy - canary-deployment
skills/canary-deployment - capacity-planning
skills/capacity-planning - Causal Inference
skills/causal-inference - changelog-maintenance
skills/changelog-maintenance - cicd-pipeline-setup
skills/cicd-pipeline-setup - circuit-breaker-pattern
skills/circuit-breaker-pattern - Classification Modeling
skills/classification-modeling - cloud-cost-management
skills/cloud-cost-management - cloud-migration-planning
skills/cloud-migration-planning - cloud-security-configuration
skills/cloud-security-configuration - cloud-storage-optimization
skills/cloud-storage-optimization - Clustering Analysis
skills/clustering-analysis - code-documentation
skills/code-documentation - code-generation-template
skills/code-generation-template - code-metrics-analysis
skills/code-metrics-analysis - code-review-analysis
skills/code-review-analysis - Cohort Analysis
skills/cohort-analysis - color-accessibility
skills/color-accessibility - competitor-analysis
skills/competitor-analysis - Computer Vision
skills/computer-vision - concurrency-patterns
skills/concurrency-patterns - configuration-management
skills/configuration-management - container-debugging
skills/container-debugging - container-registry-management
skills/container-registry-management - continuous-testing
skills/continuous-testing - Correlation Analysis
skills/correlation-analysis - correlation-tracing
skills/correlation-tracing - cpu-profiling
skills/cpu-profiling - cross-platform-compatibility
skills/cross-platform-compatibility - csrf-protection
skills/csrf-protection - css-architecture
skills/css-architecture - Data Cleaning Pipeline
skills/data-cleaning-pipeline - data-encryption
skills/data-encryption - data-migration-scripts
skills/data-migration-scripts - data-replication-setup
skills/data-replication-setup - Data Visualization
skills/data-visualization - database-backup-restore
skills/database-backup-restore - database-indexing-strategy
skills/database-indexing-strategy - database-migration-management
skills/database-migration-management - database-monitoring
skills/database-monitoring - database-performance-debugging
skills/database-performance-debugging - database-query-optimization
skills/database-query-optimization - database-schema-design
skills/database-schema-design - database-schema-documentation
skills/database-schema-documentation - database-sharding
skills/database-sharding - dependency-management
skills/dependency-management - dependency-tracking
skills/dependency-tracking - deployment-automation
skills/deployment-automation - deployment-documentation
skills/deployment-documentation - design-handoff
skills/design-handoff - design-patterns-implementation
skills/design-patterns-implementation - design-system-creation
skills/design-system-creation - developer-onboarding
skills/developer-onboarding - Dimensionality Reduction
skills/dimensionality-reduction - disaster-recovery-testing
skills/disaster-recovery-testing - distributed-tracing
skills/distributed-tracing - django-application
skills/django-application - dns-management
skills/dns-management - docker-containerization
skills/docker-containerization - documentation-site-setup
skills/documentation-site-setup - e2e-testing-automation
skills/e2e-testing-automation - email-service-integration
skills/email-service-integration - error-tracking
skills/error-tracking - event-sourcing
skills/event-sourcing - Exploratory Data Analysis
skills/exploratory-data-analysis - fastapi-development
skills/fastapi-development - Feature Engineering
skills/feature-engineering - feature-flag-system
skills/feature-flag-system - file-upload-handling
skills/file-upload-handling - flask-api-development
skills/flask-api-development - flutter-development
skills/flutter-development - form-validation
skills/form-validation - frontend-accessibility
skills/frontend-accessibility - frontend-routing
skills/frontend-routing - frontend-state-management
skills/frontend-state-management - frontend-testing
skills/frontend-testing - Funnel Analysis
skills/funnel-analysis - gap-analysis
skills/gap-analysis - gcp-cloud-functions
skills/gcp-cloud-functions - gcp-cloud-run
skills/gcp-cloud-run - git-hooks-setup
skills/git-hooks-setup - git-workflow-strategy
skills/git-workflow-strategy - github-actions-workflow
skills/github-actions-workflow - gitlab-cicd-pipeline
skills/gitlab-cicd-pipeline - graceful-shutdown
skills/graceful-shutdown - grafana-dashboard
skills/grafana-dashboard - graphql-implementation
skills/graphql-implementation - grpc-service-development
skills/grpc-service-development - health-check-endpoints
skills/health-check-endpoints - idempotency-handling
skills/idempotency-handling - image-optimization
skills/image-optimization - incident-response-plan
skills/incident-response-plan - information-architecture
skills/information-architecture - infrastructure-cost-optimization
skills/infrastructure-cost-optimization - infrastructure-monitoring
skills/infrastructure-monitoring - integration-testing
skills/integration-testing - interaction-design
skills/interaction-design - intermittent-issue-debugging
skills/intermittent-issue-debugging - internationalization-i18n
skills/internationalization-i18n - ios-swift-development
skills/ios-swift-development - jenkins-pipeline
skills/jenkins-pipeline - kpi-dashboard-design
skills/kpi-dashboard-design - kubernetes-deployment
skills/kubernetes-deployment - load-balancer-setup
skills/load-balancer-setup - log-aggregation
skills/log-aggregation - log-analysis
skills/log-analysis - logging-best-practices
skills/logging-best-practices - markdown-documentation
skills/markdown-documentation - memory-leak-detection
skills/memory-leak-detection - memory-optimization
skills/memory-optimization - microservices-architecture
skills/microservices-architecture - ML Model Explanation
skills/ml-model-explanation - ML Model Training
skills/ml-model-training - ML Pipeline Automation
skills/ml-pipeline-automation - mobile-app-debugging
skills/mobile-app-debugging - mobile-app-testing
skills/mobile-app-testing - mobile-first-design
skills/mobile-first-design - mobile-offline-support
skills/mobile-offline-support - mocking-stubbing
skills/mocking-stubbing - Model Deployment
skills/model-deployment - Model Hyperparameter Tuning
skills/model-hyperparameter-tuning - Model Monitoring
skills/model-monitoring - monorepo-management
skills/monorepo-management - multi-cloud-strategy
skills/multi-cloud-strategy - mutation-testing
skills/mutation-testing - Natural Language Processing
skills/natural-language-processing - Network Analysis
skills/network-analysis - network-debugging
skills/network-debugging - network-security-groups
skills/network-security-groups - Neural Network Design
skills/neural-network-design - nginx-configuration
skills/nginx-configuration - nodejs-express-server
skills/nodejs-express-server - nosql-database-design
skills/nosql-database-design - oauth-implementation
skills/oauth-implementation - payment-gateway-integration
skills/payment-gateway-integration - penetration-testing
skills/penetration-testing - performance-regression-debugging
skills/performance-regression-debugging - performance-testing
skills/performance-testing - polyglot-integration
skills/polyglot-integration - process-mapping
skills/process-mapping - profiling-optimization
skills/profiling-optimization - progressive-web-app
skills/progressive-web-app - project-estimation
skills/project-estimation - prometheus-monitoring
skills/prometheus-monitoring - property-based-testing
skills/property-based-testing - pull-request-automation
skills/pull-request-automation - push-notification-setup
skills/push-notification-setup - query-caching-strategies
skills/query-caching-strategies - rate-limiting-implementation
skills/rate-limiting-implementation - react-component-architecture
skills/react-component-architecture - react-native-app
skills/react-native-app - reactive-programming
skills/reactive-programming - real-time-features
skills/real-time-features - Recommendation Engine
skills/recommendation-engine - Recommendation System
skills/recommendation-system - refactor-legacy-code
skills/refactor-legacy-code - Regression Modeling
skills/regression-modeling - release-planning
skills/release-planning - requirements-gathering
skills/requirements-gathering - responsive-web-design
skills/responsive-web-design - rest-api-design
skills/rest-api-design - retrospective-facilitation
skills/retrospective-facilitation - risk-assessment
skills/risk-assessment - root-cause-analysis
skills/root-cause-analysis - ruby-rails-application
skills/ruby-rails-application - runbook-creation
skills/runbook-creation - secrets-management
skills/secrets-management - secrets-rotation
skills/secrets-rotation - security-audit-logging
skills/security-audit-logging - security-compliance-audit
skills/security-compliance-audit - security-documentation
skills/security-documentation - security-headers-configuration
skills/security-headers-configuration - security-testing
skills/security-testing - semantic-versioning
skills/semantic-versioning - Sentiment Analysis
skills/sentiment-analysis - server-side-rendering
skills/server-side-rendering - serverless-architecture
skills/serverless-architecture - service-mesh-implementation
skills/service-mesh-implementation - session-management
skills/session-management - spring-boot-application
skills/spring-boot-application - sql-injection-prevention
skills/sql-injection-prevention - sql-query-optimization
skills/sql-query-optimization - ssl-certificate-management
skills/ssl-certificate-management - stakeholder-communication
skills/stakeholder-communication - static-code-analysis
skills/static-code-analysis - Statistical Hypothesis Testing
skills/statistical-hypothesis-testing - stored-procedures
skills/stored-procedures - stress-testing
skills/stress-testing - Survival Analysis
skills/survival-analysis - synthetic-monitoring
skills/synthetic-monitoring - technical-debt-assessment
skills/technical-debt-assessment - technical-roadmap-planning
skills/technical-roadmap-planning - technical-specification
skills/technical-specification - terraform-infrastructure
skills/terraform-infrastructure - test-automation-framework
skills/test-automation-framework - test-data-generation
skills/test-data-generation - third-party-integration
skills/third-party-integration - Time Series Analysis
skills/time-series-analysis - transaction-management
skills/transaction-management - troubleshooting-guide
skills/troubleshooting-guide - unit-testing-framework
skills/unit-testing-framework - uptime-monitoring
skills/uptime-monitoring - user-guide-creation
skills/user-guide-creation - user-persona-creation
skills/user-persona-creation - user-research-analysis
skills/user-research-analysis - user-story-writing
skills/user-story-writing - visual-regression-testing
skills/visual-regression-testing - vue-application-structure
skills/vue-application-structure - vulnerability-scanning
skills/vulnerability-scanning - web-performance-audit
skills/web-performance-audit - web-performance-optimization
skills/web-performance-optimization - webhook-development
skills/webhook-development - webhook-integration
skills/webhook-integration - websocket-implementation
skills/websocket-implementation - wireframe-prototyping
skills/wireframe-prototyping - xss-prevention
skills/xss-prevention - zero-trust-architecture
skills/zero-trust-architecture
How it works
A/B Test Analysis
When your agent uses it
Design and analyze A/B tests, calculate statistical significance, and determine sample sizes for conversion optimization and experiment validation
What it loads into context
Frontmatter
30 tokensAlways available to the agent
SKILL.md
2,742 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use
- Core Components
- Analysis Steps
- Implementation with Python
- Sample Size Determination
- Key Metrics
- Deliverables
Scripts executed separately
scripts/scaffold-analysis.shtemplates/notebook-template.py
Files
SKILL.mdcore9,745 bytesSKILL.mdcore9,745 bytesscripts/scaffold-analysis.shruns394 bytestemplates/notebook-template.pyruns360 bytes
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# A/B Test Analysis
## Overview
A/B testing is a statistical method to compare two variants and determine which performs better, enabling data-driven optimization decisions.
## When to Use
- Comparing two versions of a product feature, webpage, or marketing campaign
- Optimizing conversion rates, click-through rates, or user engagement metrics
- Making data-driven decisions with statistical confidence about changes
- Determining sample size requirements for experiment validity
- Analyzing treatment effects and measuring lift from interventions
- Evaluating whether observed differences are statistically significantView the complete source on GitHubaccess-control-rbac
When your agent uses it
Implement Role-Based Access Control (RBAC), permissions management, and authorization policies. Use when building secure access control systems with fine-grained permissions.
What it loads into context
Frontmatter
44 tokensAlways available to the agent
SKILL.md
480 tokensWhen the skill is activated
Reference documents
3,047 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/security-checklist.sh
Files
SKILL.mdcore2,194 bytesreferences/java-spring-security-rbac.mddoc3,342 bytesreferences/nodejs-rbac-system.mddoc4,758 bytesreferences/python-abac-attribute-based-access-control.mddoc6,010 bytesscripts/security-checklist.shruns734 bytes
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# Access Control & RBAC
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement comprehensive Role-Based Access Control systems with permissions management, attribute-based policies, and least privilege principles.
View the complete source on GitHubaccessibility-compliance
When your agent uses it
Implement WCAG 2.1/2.2 accessibility standards, screen reader compatibility, keyboard navigation, and a11y testing. Use when building inclusive web applications, ensuring regulatory compliance, or improving user experience for people with disabilities.
What it loads into context
Frontmatter
62 tokensAlways available to the agent
SKILL.md
668 tokensWhen the skill is activated
Reference documents
2,066 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
templates/component-template.tsx
Files
SKILL.mdcore3,078 bytesreferences/color-contrast-validator.mddoc1,887 bytesreferences/focus-management.mddoc1,228 bytesreferences/keyboard-navigation-handler.mddoc1,327 bytesreferences/react-component-with-accessibility.mddoc1,755 bytesreferences/screen-reader-announcements.mddoc1,299 bytesreferences/semantic-html-with-aria.mddoc757 bytestemplates/component-template.tsxruns318 bytes
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# Accessibility Compliance
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement comprehensive accessibility features following WCAG guidelines to ensure your application is usable by everyone, including people with disabilities.
View the complete source on GitHubaccessibility-testing
When your agent uses it
Test web applications for WCAG compliance and ensure usability for users with disabilities. Use for accessibility test, a11y, axe, ARIA, keyboard navigation, screen reader compatibility, and WCAG validation.
What it loads into context
Frontmatter
54 tokensAlways available to the agent
SKILL.md
719 tokensWhen the skill is activated
Reference documents
3,103 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/scaffold-tests.shtemplates/test-template.js
Files
SKILL.mdcore3,209 bytesreferences/aria-testing.mddoc2,653 bytesreferences/axe-core-with-playwright.mddoc2,604 bytesreferences/cypress-accessibility-testing.mddoc1,061 bytesreferences/jest-with-jest-axe.mddoc1,051 bytesreferences/keyboard-navigation-testing.mddoc4,014 bytesreferences/python-with-selenium-and-axe.mddoc2,098 bytesscripts/scaffold-tests.shruns574 bytestemplates/test-template.jsruns541 bytes
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# Accessibility Testing
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Accessibility testing ensures web applications are usable by people with disabilities, including those using screen readers, keyboard navigation, or other assistive technologies. It validates compliance with WCAG (Web Content Accessibility Guidelines) and identifies barriers to accessibility.
View the complete source on GitHubagile-sprint-planning
When your agent uses it
Plan and execute effective sprints using Agile methodologies. Define sprint goals, estimate user stories, manage sprint backlog, and facilitate daily standups to maximize team productivity and deliver value incrementally.
What it loads into context
Frontmatter
53 tokensAlways available to the agent
SKILL.md
655 tokensWhen the skill is activated
Reference documents
1,373 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Files
SKILL.mdcore3,187 bytesreferences/daily-standup-management.mddoc1,087 bytesreferences/sprint-goal-definition.mddoc790 bytesreferences/sprint-planning-meeting-structure.mddoc1,975 bytesreferences/story-point-estimation.mddoc1,626 bytestemplates/process-template.mddoc415 bytes
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# Agile Sprint Planning
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Agile sprint planning provides a structured approach to organize work into time-boxed iterations, enabling teams to deliver value incrementally while maintaining flexibility and responding to change.
View the complete source on GitHubalert-management
When your agent uses it
Implement comprehensive alert management with PagerDuty, escalation policies, and incident coordination. Use when setting up alerting systems, managing on-call schedules, or coordinating incident response.
What it loads into context
Frontmatter
45 tokensAlways available to the agent
SKILL.md
604 tokensWhen the skill is activated
Reference documents
2,478 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-api.sh
Files
SKILL.mdcore2,761 bytesreferences/alert-handler-middleware.mddoc2,836 bytesreferences/alert-routing-engine.mddoc1,569 bytesreferences/alertmanager-configuration.mddoc1,341 bytesreferences/docker-compose-alert-stack.mddoc790 bytesreferences/pagerduty-client-integration.mddoc3,719 bytesscripts/validate-api.shruns440 bytestemplates/api-scaffold.yamlasset467 bytes
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# Alert Management
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Design and implement sophisticated alert management systems with PagerDuty integration, escalation policies, alert routing, and incident coordination.
View the complete source on GitHubandroid-kotlin-development
When your agent uses it
Develop native Android apps with Kotlin. Covers MVVM with Jetpack, Compose for modern UI, Retrofit for API calls, Room for local storage, and navigation architecture.
What it loads into context
Frontmatter
48 tokensAlways available to the agent
SKILL.md
597 tokensWhen the skill is activated
Reference documents
1,822 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-api.sh
Files
SKILL.mdcore2,548 bytesreferences/jetpack-compose-ui.mddoc3,808 bytesreferences/models-api-service.mddoc1,755 bytesreferences/mvvm-viewmodels-with-jetpack.mddoc1,923 bytesscripts/validate-api.shruns440 bytestemplates/api-scaffold.yamlasset467 bytes
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# Android Kotlin Development
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Build robust native Android applications using Kotlin with modern architecture patterns, Jetpack libraries, and Compose for declarative UI.
View the complete source on GitHubangular-module-design
When your agent uses it
Design Angular modules using feature modules, lazy loading, and dependency injection. Use when organizing large Angular applications with proper separation of concerns.
What it loads into context
Frontmatter
40 tokensAlways available to the agent
SKILL.md
485 tokensWhen the skill is activated
Reference documents
1,428 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
templates/component-template.tsx
Files
SKILL.mdcore2,361 bytesreferences/dependency-injection-and-providers.mddoc1,009 bytesreferences/feature-module-structure.mddoc725 bytesreferences/lazy-loading-routes.mddoc745 bytesreferences/service-with-rxjs.mddoc1,977 bytesreferences/smart-and-presentational-components.mddoc1,671 bytestemplates/component-template.tsxruns318 bytes
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# Angular Module Design
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Architect scalable Angular applications using feature modules, lazy loading, services, and RxJS for reactive programming patterns.
View the complete source on GitHubAnomaly Detection
When your agent uses it
Identify unusual patterns, outliers, and anomalies in data using statistical methods, isolation forests, and autoencoders for fraud detection and quality monitoring
What it loads into context
Frontmatter
36 tokensAlways available to the agent
SKILL.md
3,065 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use
- Detection Methods
- Anomaly Types
- Implementation with Python
- Method Selection Guide
- Threshold Selection
- Deliverables
Scripts executed separately
scripts/scaffold-analysis.shtemplates/notebook-template.py
Files
SKILL.mdcore10,884 bytesSKILL.mdcore10,884 bytesscripts/scaffold-analysis.shruns394 bytestemplates/notebook-template.pyruns360 bytes
Read SKILL.md
# Anomaly Detection
## Overview
Anomaly detection identifies unusual patterns, outliers, and anomalies in data that deviate significantly from normal behavior, enabling fraud detection and system monitoring.
## When to Use
- Detecting fraudulent transactions or suspicious activity in financial data
- Identifying system failures, network intrusions, or security breaches
- Monitoring manufacturing quality and identifying defective products
- Finding unusual patterns in healthcare data or patient vital signs
- Detecting abnormal sensor readings in IoT or industrial systems
- Identifying outliers in customer behavior for targeted interventionView the complete source on GitHubansible-automation
When your agent uses it
Infrastructure automation and configuration management using Ansible playbooks, roles, and inventory. Use for deploying applications, patching, and managing servers.
What it loads into context
Frontmatter
43 tokensAlways available to the agent
SKILL.md
551 tokensWhen the skill is activated
Reference documents
1,674 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-config.sh
Files
SKILL.mdcore2,511 bytesreferences/ansible-deployment-script.mddoc1,150 bytesreferences/configuration-template.mddoc715 bytesreferences/inventory-and-variables.mddoc637 bytesreferences/playbook-structure-and-best-practices.mddoc3,395 bytesscripts/validate-config.shruns427 bytestemplates/config-starter.yamlasset453 bytes
Read SKILL.md
# Ansible Automation
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Automate infrastructure provisioning, configuration management, and application deployment across multiple servers using Ansible playbooks, roles, and dynamic inventory management.
View the complete source on GitHubapi-authentication
When your agent uses it
Implement secure API authentication with JWT, OAuth 2.0, API keys, and session management. Use when securing APIs, managing tokens, or implementing user authentication flows.
What it loads into context
Frontmatter
48 tokensAlways available to the agent
SKILL.md
629 tokensWhen the skill is activated
Reference documents
1,920 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/security-checklist.sh
Files
SKILL.mdcore2,895 bytesreferences/api-key-authentication.mddoc1,412 bytesreferences/jwt-authentication.mddoc3,338 bytesreferences/oauth-20-implementation.mddoc1,311 bytesreferences/python-authentication-implementation.mddoc1,708 bytesscripts/security-checklist.shruns734 bytes
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# API Authentication
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement comprehensive authentication strategies for APIs including JWT tokens, OAuth 2.0, API keys, and session management with proper security practices.
View the complete source on GitHubapi-changelog-versioning
When your agent uses it
Document API changes, breaking changes, migration guides, and version history for APIs. Use when documenting API versioning, breaking changes, or creating API migration guides.
What it loads into context
Frontmatter
48 tokensAlways available to the agent
SKILL.md
537 tokensWhen the skill is activated
Reference documents
2,784 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
Scripts executed separately
scripts/validate-api.sh
Files
SKILL.mdcore2,306 bytesreferences/breaking-changes.mddoc1,921 bytesreferences/improvements.mddoc1,651 bytesreferences/new-features.mddoc2,121 bytesreferences/security.mddoc1,623 bytesreferences/step-1-update-base-url.mddoc2,664 bytesscripts/validate-api.shruns440 bytestemplates/api-scaffold.yamlasset467 bytes
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# API Changelog & Versioning
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Create comprehensive API changelogs that document changes, deprecations, breaking changes, and provide migration guides for API consumers.
View the complete source on GitHubapi-contract-testing
When your agent uses it
Verify API contracts between services to ensure compatibility and prevent breaking changes. Use for contract testing, Pact, API contract validation, schema validation, and consumer-driven contracts.
What it loads into context
Frontmatter
45 tokensAlways available to the agent
SKILL.md
710 tokensWhen the skill is activated
Reference documents
3,678 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/scaffold-tests.shtemplates/test-template.js
Files
SKILL.mdcore3,250 bytesreferences/contract-testing-with-postman.mddoc1,080 bytesreferences/json-schema-validation.mddoc3,443 bytesreferences/openapi-schema-validation.mddoc1,288 bytesreferences/pact-broker-integration.mddoc1,150 bytesreferences/pact-for-consumer-driven-contracts.mddoc6,027 bytesreferences/rest-assured-for-java.mddoc2,423 bytesscripts/scaffold-tests.shruns574 bytestemplates/test-template.jsruns541 bytes
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# API Contract Testing
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Contract testing verifies that APIs honor their contracts between consumers and providers. It ensures that service changes don't break dependent consumers without requiring full integration tests. Contract tests validate request/response formats, data types, and API behavior independently.
View the complete source on GitHubapi-error-handling
When your agent uses it
Implement comprehensive API error handling with standardized error responses, logging, monitoring, retry logic, and validation patterns. Use when building resilient APIs, debugging issues, improving error reporting, implementing retry logic, handling HTTP error codes, managing API timeouts, designing error response handling, or adding circuit breaker patterns.
What it loads into context
Frontmatter
77 tokensAlways available to the agent
SKILL.md
848 tokensWhen the skill is activated
Reference documents
4,317 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Files
SKILL.mdcore3,815 bytesreferences/error-codes-reference.mddoc5,724 bytesreferences/monitoring-patterns.mddoc3,082 bytesreferences/retry-strategies.mddoc3,539 bytesreferences/validation-examples.mddoc4,893 bytes
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# API Error Handling
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Build robust error handling systems with standardized error responses, detailed
logging, error categorization, and user-friendly error messages. This skillView the complete source on GitHubapi-filtering-sorting
When your agent uses it
Implement advanced filtering and sorting capabilities for APIs with query parsing, field validation, and optimization. Use when building search features, complex queries, or flexible data retrieval endpoints.
What it loads into context
Frontmatter
49 tokensAlways available to the agent
SKILL.md
597 tokensWhen the skill is activated
Reference documents
2,863 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-schema.sh
Files
SKILL.mdcore2,825 bytesreferences/advanced-filter-parser.mddoc2,317 bytesreferences/elasticsearch-filtering.mddoc1,633 bytesreferences/filter-builder-pattern.mddoc1,855 bytesreferences/python-filtering-sqlalchemy.mddoc2,276 bytesreferences/query-parameter-filtering.mddoc2,214 bytesreferences/query-validation.mddoc692 bytesscripts/validate-schema.shruns426 bytestemplates/migration-template.sqlasset302 bytes
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# API Filtering & Sorting
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Build flexible filtering and sorting systems that handle complex queries efficiently with proper validation, security, and performance optimization.
View the complete source on GitHubapi-gateway-configuration
When your agent uses it
Configure API gateways for routing, authentication, rate limiting, and request/response transformation. Use when deploying microservices, setting up reverse proxies, or managing API traffic.
What it loads into context
Frontmatter
49 tokensAlways available to the agent
SKILL.md
582 tokensWhen the skill is activated
Reference documents
2,207 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-api.sh
Files
SKILL.mdcore2,643 bytesreferences/aws-api-gateway-configuration.mddoc1,920 bytesreferences/kong-configuration.mddoc1,644 bytesreferences/nginx-configuration.mddoc2,589 bytesreferences/nodejs-gateway-implementation.mddoc1,489 bytesreferences/traefik-configuration.mddoc1,184 bytesscripts/validate-api.shruns440 bytestemplates/api-scaffold.yamlasset467 bytes
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# API Gateway Configuration
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Design and configure API gateways to handle routing, authentication, rate limiting, and request/response transformation for microservice architectures.
View the complete source on GitHubapi-pagination
When your agent uses it
Implement efficient pagination strategies for large datasets using offset/limit, cursor-based, and keyset pagination. Use when returning collections, managing large result sets, or optimizing query performance.
What it loads into context
Frontmatter
48 tokensAlways available to the agent
SKILL.md
652 tokensWhen the skill is activated
Reference documents
2,412 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-api.sh
Files
SKILL.mdcore3,063 bytesreferences/cursor-based-pagination.mddoc1,783 bytesreferences/keyset-pagination.mddoc1,498 bytesreferences/offsetlimit-pagination.mddoc1,985 bytesreferences/pagination-response-formats.mddoc954 bytesreferences/python-pagination-sqlalchemy.mddoc1,185 bytesreferences/search-pagination.mddoc1,666 bytesscripts/validate-api.shruns440 bytestemplates/api-scaffold.yamlasset467 bytes
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# API Pagination
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement scalable pagination strategies for handling large datasets with efficient querying, navigation, and performance optimization.
View the complete source on GitHubapi-rate-limiting
When your agent uses it
Implement API rate limiting strategies using token bucket, sliding window, and fixed window algorithms. Use when protecting APIs from abuse, managing traffic, or implementing tiered rate limits.
What it loads into context
Frontmatter
50 tokensAlways available to the agent
SKILL.md
659 tokensWhen the skill is activated
Reference documents
2,051 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-api.sh
Files
SKILL.mdcore2,831 bytesreferences/python-rate-limiting-flask.mddoc1,385 bytesreferences/redis-based-rate-limiting.mddoc1,559 bytesreferences/response-headers.mddoc579 bytesreferences/sliding-window-algorithm.mddoc1,539 bytesreferences/tiered-rate-limiting.mddoc1,250 bytesreferences/token-bucket-algorithm.mddoc1,637 bytesscripts/validate-api.shruns440 bytestemplates/api-scaffold.yamlasset467 bytes
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# API Rate Limiting
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Protect APIs from abuse and manage traffic using various rate limiting algorithms with per-user, per-IP, and per-endpoint strategies.
View the complete source on GitHubapi-reference-documentation
When your agent uses it
Create comprehensive API reference documentation with OpenAPI/Swagger specs, REST endpoints, authentication, examples, and SDKs. Use when documenting REST APIs, GraphQL APIs, endpoint documentation, or OpenAPI specifications.
What it loads into context
Frontmatter
55 tokensAlways available to the agent
SKILL.md
605 tokensWhen the skill is activated
Reference documents
2,234 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-api.sh
Files
SKILL.mdcore2,819 bytesreferences/list-products.mddoc1,420 bytesreferences/openapi-specification-example.mddoc8,404 bytesscripts/validate-api.shruns440 bytestemplates/api-scaffold.yamlasset467 bytes
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# API Reference Documentation
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Generate professional API documentation that developers can use to integrate with your API, including endpoint specifications, authentication, request/response examples, and interactive documentation.
View the complete source on GitHubapi-response-optimization
When your agent uses it
Optimize API response times through caching, compression, and efficient payloads. Improve backend performance and reduce network traffic.
What it loads into context
Frontmatter
35 tokensAlways available to the agent
SKILL.md
537 tokensWhen the skill is activated
Reference documents
1,296 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-api.sh
Files
SKILL.mdcore2,199 bytesreferences/caching-strategies.mddoc1,603 bytesreferences/compression-performance.mddoc1,245 bytesreferences/optimization-checklist.mddoc914 bytesreferences/response-payload-optimization.mddoc900 bytesscripts/validate-api.shruns440 bytestemplates/api-scaffold.yamlasset467 bytes
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# API Response Optimization
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Fast API responses improve overall application performance and user experience. Optimization focuses on payload size, caching, and query efficiency.
View the complete source on GitHubapi-security-hardening
When your agent uses it
Secure REST APIs with authentication, rate limiting, CORS, input validation, and security middleware. Use when building or hardening API endpoints against common attacks.
What it loads into context
Frontmatter
45 tokensAlways available to the agent
SKILL.md
530 tokensWhen the skill is activated
Reference documents
3,906 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/security-checklist.sh
Files
SKILL.mdcore2,459 bytesreferences/api-gateway-security-configuration.mddoc2,723 bytesreferences/nodejsexpress-api-security.mddoc8,534 bytesreferences/python-fastapi-security.mddoc5,805 bytesscripts/security-checklist.shruns734 bytes
Read SKILL.md
# API Security Hardening
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement comprehensive API security measures including authentication, authorization, rate limiting, input validation, and attack prevention to protect against common vulnerabilities.
View the complete source on GitHubapi-versioning-strategy
When your agent uses it
Implement API versioning strategies including URL versioning, header versioning, backward compatibility, deprecation strategies, and migration guides. Use when dealing with API versions, deprecating endpoints, or managing breaking changes.
What it loads into context
Frontmatter
60 tokensAlways available to the agent
SKILL.md
918 tokensWhen the skill is activated
Reference documents
3,811 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-api.sh
Files
SKILL.mdcore4,030 bytesreferences/backward-compatibility-patterns.mddoc2,621 bytesreferences/date-format.mddoc416 bytesreferences/deprecation-strategy.mddoc2,643 bytesreferences/graphql-versioning.mddoc641 bytesreferences/grpc-versioning.mddoc566 bytesreferences/javascripttypescript.mddoc662 bytesreferences/migration-guide-example.mddoc100 bytesreferences/pattern-1-version-agnostic-core.mddoc1,017 bytesreferences/response-structure.mddoc408 bytesreferences/testing-multiple-versions.mddoc1,622 bytesreferences/version-detection-routing.mddoc1,698 bytesreferences/versioning-approaches.mddoc2,098 bytesscripts/validate-api.shruns440 bytestemplates/api-scaffold.yamlasset467 bytes
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# API Versioning Strategy
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Comprehensive guide to API versioning approaches, deprecation strategies, backward compatibility techniques, and migration planning for REST APIs, GraphQL, and gRPC services.
View the complete source on GitHubapp-store-deployment
When your agent uses it
Deploy iOS and Android apps to App Store and Google Play. Covers signing, versioning, build configuration, submission process, and release management.
What it loads into context
Frontmatter
41 tokensAlways available to the agent
SKILL.md
697 tokensWhen the skill is activated
Reference documents
1,796 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-pipeline.sh
Files
SKILL.mdcore3,102 bytesSKILL.mdcore3,102 bytesreferences/android-deployment-setup.mddoc1,185 bytesreferences/automated-cicd-with-github-actions.mddoc2,439 bytesreferences/ios-deployment-setup.mddoc1,753 bytesreferences/pre-deployment-checklist.mddoc889 bytesreferences/version-management.mddoc586 bytesscripts/validate-pipeline.shruns502 bytestemplates/pipeline.yamlasset665 bytes
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# App Store Deployment
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Publish mobile applications to official app stores with proper code signing, versioning, testing, and submission procedures.
View the complete source on GitHubapplication-logging
When your agent uses it
Implement structured logging across applications with log aggregation and centralized analysis. Use when setting up application logging, implementing ELK stack, or analyzing application behavior.
What it loads into context
Frontmatter
43 tokensAlways available to the agent
SKILL.md
587 tokensWhen the skill is activated
Reference documents
1,341 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-api.sh
Files
SKILL.mdcore2,727 bytesreferences/elk-stack-setup.mddoc854 bytesreferences/express-http-request-logging.mddoc1,179 bytesreferences/flask-integration.mddoc1,267 bytesreferences/logstash-configuration.mddoc442 bytesreferences/nodejs-structured-logging-with-winston.mddoc926 bytesreferences/python-structured-logging.mddoc808 bytesscripts/validate-api.shruns440 bytestemplates/api-scaffold.yamlasset467 bytes
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# Application Logging
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement comprehensive structured logging with proper levels, context, and centralized aggregation for effective debugging and monitoring.
View the complete source on GitHubarchitecture-diagrams
When your agent uses it
Create system architecture diagrams using Mermaid, PlantUML, C4 model, flowcharts, and sequence diagrams. Use when documenting architecture, system design, data flows, or technical workflows.
What it loads into context
Frontmatter
50 tokensAlways available to the agent
SKILL.md
689 tokensWhen the skill is activated
Reference documents
2,357 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-schema.sh
Files
SKILL.mdcore3,160 bytesreferences/c4-context-diagram.mddoc818 bytesreferences/class-diagram.mddoc783 bytesreferences/component-diagram-2.mddoc876 bytesreferences/component-diagram.mddoc1,104 bytesreferences/data-flow-diagram.mddoc649 bytesreferences/deployment-diagram-2.mddoc839 bytesreferences/deployment-diagram.mddoc1,320 bytesreferences/sequence-diagram.mddoc982 bytesreferences/system-architecture-diagram.mddoc1,356 bytesscripts/validate-schema.shruns426 bytestemplates/migration-template.sqlasset302 bytes
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# Architecture Diagrams
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Create clear, maintainable architecture diagrams using code-based diagramming tools like Mermaid and PlantUML for system design, data flows, and technical documentation.
View the complete source on GitHubartifact-management
When your agent uses it
Manage build artifacts, Docker images, and package registries. Configure artifact repositories, versioning, and distribution strategies.
What it loads into context
Frontmatter
34 tokensAlways available to the agent
SKILL.md
613 tokensWhen the skill is activated
Reference documents
1,114 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-pipeline.sh
Files
SKILL.mdcore2,783 bytesSKILL.mdcore2,783 bytesSKILL.mdcore2,783 bytesreferences/docker-registry-configuration.mddoc822 bytesreferences/github-container-registry-ghcr-push.mddoc1,500 bytesreferences/npm-package-publishing.mddoc1,797 bytesscripts/validate-pipeline.shruns502 bytestemplates/pipeline.yamlasset665 bytes
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# Artifact Management
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement comprehensive artifact management strategies for storing, versioning, and distributing built binaries, Docker images, and packages across environments.
View the complete source on GitHubautoscaling-configuration
When your agent uses it
Configure autoscaling for Kubernetes, VMs, and serverless workloads based on metrics, schedules, and custom indicators.
What it loads into context
Frontmatter
36 tokensAlways available to the agent
SKILL.md
556 tokensWhen the skill is activated
Reference documents
2,246 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-config.sh
Files
SKILL.mdcore2,481 bytesreferences/autoscaling-script.mddoc1,284 bytesreferences/aws-auto-scaling.mddoc3,223 bytesreferences/custom-metrics-autoscaling.mddoc1,217 bytesreferences/kubernetes-horizontal-pod-autoscaler.mddoc1,813 bytesreferences/monitoring-autoscaling.mddoc1,384 bytesscripts/validate-config.shruns427 bytestemplates/config-starter.yamlasset453 bytes
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# Autoscaling Configuration
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement autoscaling strategies to automatically adjust resource capacity based on demand, ensuring cost efficiency while maintaining performance and availability.
View the complete source on GitHubaws-cloudfront-cdn
When your agent uses it
Distribute content globally using CloudFront with caching, security headers, WAF integration, and origin configuration. Use for low-latency content delivery.
What it loads into context
Frontmatter
45 tokensAlways available to the agent
SKILL.md
635 tokensWhen the skill is activated
Reference documents
2,272 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-config.sh
Files
SKILL.mdcore2,784 bytesSKILL.mdcore2,784 bytesreferences/cloudfront-distribution-with-aws-cli.mddoc2,012 bytesreferences/custom-headers-and-security-configuration.mddoc829 bytesreferences/terraform-cloudfront-configuration.mddoc6,102 bytesscripts/validate-config.shruns427 bytestemplates/config-starter.yamlasset453 bytes
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# AWS CloudFront CDN
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Amazon CloudFront is a fast, globally distributed content delivery network (CDN). Cache content at edge locations worldwide to reduce latency, improve performance, and provide high availability with DDoS protection.
View the complete source on GitHubaws-ec2-setup
When your agent uses it
Launch and configure EC2 instances with security groups, IAM roles, key pairs, AMIs, and auto-scaling. Use for virtual servers and managed infrastructure.
What it loads into context
Frontmatter
46 tokensAlways available to the agent
SKILL.md
617 tokensWhen the skill is activated
Reference documents
2,342 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-config.sh
Files
SKILL.mdcore2,514 bytesSKILL.mdcore2,514 bytesreferences/ec2-instance-creation-with-aws-cli.mddoc1,805 bytesreferences/terraform-ec2-configuration.mddoc4,285 bytesreferences/user-data-script.mddoc1,965 bytesscripts/validate-config.shruns427 bytestemplates/config-starter.yamlasset453 bytes
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# AWS EC2 Setup
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Amazon EC2 provides resizable compute capacity in the cloud. Launch and configure virtual servers with complete control over networking, storage, and security settings. Scale automatically based on demand.
View the complete source on GitHubaws-lambda-functions
When your agent uses it
Create and deploy serverless functions using AWS Lambda with event sources, permissions, layers, and environment configuration. Use for event-driven computing without managing servers.
What it loads into context
Frontmatter
44 tokensAlways available to the agent
SKILL.md
694 tokensWhen the skill is activated
Reference documents
1,818 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-api.sh
Files
SKILL.mdcore3,135 bytesSKILL.mdcore3,135 bytesreferences/basic-lambda-function-with-aws-cli.mddoc1,066 bytesreferences/lambda-function-with-nodejs.mddoc1,168 bytesreferences/lambda-layers-for-code-sharing.mddoc423 bytesreferences/lambda-with-sam-serverless-application-model.mddoc2,206 bytesreferences/terraform-lambda-deployment.mddoc2,424 bytesscripts/validate-api.shruns440 bytestemplates/api-scaffold.yamlasset467 bytes
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# AWS Lambda Functions
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
AWS Lambda enables you to run code without provisioning or managing servers. Build serverless applications using event-driven triggers, pay only for compute time consumed, and scale automatically with workload.
View the complete source on GitHubaws-rds-database
When your agent uses it
Deploy and manage relational databases using RDS with Multi-AZ, read replicas, backups, and encryption. Use for PostgreSQL, MySQL, MariaDB, and Oracle.
What it loads into context
Frontmatter
48 tokensAlways available to the agent
SKILL.md
627 tokensWhen the skill is activated
Reference documents
2,018 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-schema.sh
Files
SKILL.mdcore2,751 bytesSKILL.mdcore2,751 bytesreferences/database-connection-and-configuration.mddoc838 bytesreferences/rds-instance-creation-with-aws-cli.mddoc1,764 bytesreferences/terraform-rds-configuration.mddoc4,822 bytesscripts/validate-schema.shruns426 bytestemplates/migration-template.sqlasset302 bytes
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# AWS RDS Database
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Amazon RDS simplifies relational database deployment and operations. Support multiple database engines with automated backups, replication, encryption, and high availability through Multi-AZ deployments.
View the complete source on GitHubaws-s3-management
When your agent uses it
Manage S3 buckets with versioning, encryption, access control, lifecycle policies, and replication. Use for object storage, static sites, and data lakes.
What it loads into context
Frontmatter
46 tokensAlways available to the agent
SKILL.md
655 tokensWhen the skill is activated
Reference documents
1,941 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-api.sh
Files
SKILL.mdcore2,864 bytesSKILL.mdcore2,864 bytesreferences/s3-access-with-presigned-urls.mddoc365 bytesreferences/s3-bucket-creation-and-configuration-with-aws-cli.mddoc1,209 bytesreferences/s3-lifecycle-policy-configuration.mddoc894 bytesreferences/terraform-s3-configuration.mddoc4,859 bytesscripts/validate-api.shruns440 bytestemplates/api-scaffold.yamlasset467 bytes
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# AWS S3 Management
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Amazon S3 provides secure, durable, and highly scalable object storage. Manage buckets with encryption, versioning, access controls, lifecycle policies, and cross-region replication for reliable data storage and retrieval.
View the complete source on GitHubazure-app-service
When your agent uses it
Deploy and manage web apps using Azure App Service with auto-scaling, deployment slots, SSL/TLS, and monitoring. Use for hosting web applications on Azure.
What it loads into context
Frontmatter
45 tokensAlways available to the agent
SKILL.md
584 tokensWhen the skill is activated
Reference documents
2,264 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-schema.sh
Files
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# Azure App Service
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Azure App Service provides a fully managed platform for building and hosting web applications, REST APIs, and mobile backends. Support multiple programming languages with integrated DevOps, security, and high availability.
View the complete source on GitHubazure-functions
When your agent uses it
Create serverless functions on Azure with triggers, bindings, authentication, and monitoring. Use for event-driven computing without managing infrastructure.
What it loads into context
Frontmatter
37 tokensAlways available to the agent
SKILL.md
602 tokensWhen the skill is activated
Reference documents
2,305 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-config.sh
Files
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# Azure Functions
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Azure Functions enables serverless computing on Microsoft Azure. Build event-driven applications with automatic scaling, flexible bindings to various Azure services, and integrated monitoring through Application Insights.
View the complete source on GitHubbackground-job-processing
When your agent uses it
Implement background job processing systems with task queues, workers, scheduling, and retry mechanisms. Use when handling long-running tasks, sending emails, generating reports, and processing large datasets asynchronously.
What it loads into context
Frontmatter
50 tokensAlways available to the agent
SKILL.md
695 tokensWhen the skill is activated
Reference documents
3,305 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/health-check.sh
Files
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# Background Job Processing
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Build robust background job processing systems with distributed task queues, worker pools, job scheduling, error handling, retry policies, and monitoring for efficient asynchronous task execution.
View the complete source on GitHubbackup-disaster-recovery
When your agent uses it
Implement backup strategies, disaster recovery plans, and data restoration procedures for protecting critical infrastructure and data.
What it loads into context
Frontmatter
33 tokensAlways available to the agent
SKILL.md
589 tokensWhen the skill is activated
Reference documents
2,906 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-schema.sh
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# Backup and Disaster Recovery
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Design and implement comprehensive backup and disaster recovery strategies to ensure data protection, business continuity, and rapid recovery from infrastructure failures.
View the complete source on GitHubbatch-processing-jobs
When your agent uses it
Implement robust batch processing systems with job queues, schedulers, background tasks, and distributed workers. Use when processing large datasets, scheduled tasks, async operations, or resource-intensive computations.
What it loads into context
Frontmatter
49 tokensAlways available to the agent
SKILL.md
575 tokensWhen the skill is activated
Reference documents
4,033 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-pipeline.sh
Files
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# Batch Processing Jobs
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement scalable batch processing systems for handling large-scale data processing, scheduled tasks, and async operations efficiently.
View the complete source on GitHubblue-green-deployment
When your agent uses it
Implement blue-green deployment strategies for zero-downtime releases with instant rollback capability and traffic switching between environments.
What it loads into context
Frontmatter
34 tokensAlways available to the agent
SKILL.md
563 tokensWhen the skill is activated
Reference documents
2,442 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-schema.sh
Files
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# Blue-Green Deployment
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Deploy applications using blue-green deployment patterns to maintain two identical production environments, enabling instant traffic switching and rapid rollback capabilities.
View the complete source on GitHubbrowser-debugging
When your agent uses it
Debug client-side issues using browser developer tools. Identify JavaScript errors, styling issues, and performance problems in the browser.
What it loads into context
Frontmatter
36 tokensAlways available to the agent
SKILL.md
453 tokensWhen the skill is activated
Reference documents
1,164 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
templates/component-template.tsx
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# Browser Debugging
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Browser debugging tools help identify and fix client-side issues including JavaScript errors, layout problems, and performance issues.
View the complete source on GitHubbundle-size-optimization
When your agent uses it
Reduce JavaScript and CSS bundle sizes through code splitting, tree shaking, and optimization techniques. Improve load times and overall application performance.
What it loads into context
Frontmatter
40 tokensAlways available to the agent
SKILL.md
469 tokensWhen the skill is activated
Reference documents
934 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
templates/component-template.tsx
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# Bundle Size Optimization
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Smaller bundles download faster, parse faster, and execute faster, dramatically improving perceived performance especially on slower networks.
View the complete source on GitHubbusiness-case-development
When your agent uses it
Build compelling business cases to justify investments and secure funding. Quantify benefits, assess costs, manage risks, and present compelling ROI arguments to leadership.
What it loads into context
Frontmatter
42 tokensAlways available to the agent
SKILL.md
511 tokensWhen the skill is activated
Reference documents
978 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Files
SKILL.mdcore2,493 bytesreferences/business-case-presentation.mddoc1,438 bytesreferences/financial-analysis.mddoc2,112 bytestemplates/process-template.mddoc415 bytes
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# Business Case Development
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
A strong business case combines financial analysis, strategic alignment, and risk assessment to justify investment decisions and secure leadership approval.
View the complete source on GitHubcaching-strategy
When your agent uses it
Implement efficient caching strategies using Redis, Memcached, CDN, and cache invalidation patterns. Use when optimizing application performance, reducing database load, or improving response times.
What it loads into context
Frontmatter
47 tokensAlways available to the agent
SKILL.md
635 tokensWhen the skill is activated
Reference documents
3,465 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-api.sh
Files
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# Caching Strategy
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement effective caching strategies to improve application performance, reduce latency, and decrease load on backend systems.
View the complete source on GitHubcanary-deployment
When your agent uses it
Implement canary deployment strategies to gradually roll out new versions to subset of users with automatic rollback based on metrics.
What it loads into context
Frontmatter
35 tokensAlways available to the agent
SKILL.md
491 tokensWhen the skill is activated
Reference documents
2,770 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/scaffold-tests.shtemplates/test-template.js
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# Canary Deployment
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Deploy new versions gradually to a small percentage of users, monitor metrics for issues, and automatically rollback or proceed based on predefined thresholds.
View the complete source on GitHubcapacity-planning
When your agent uses it
Analyze team capacity, plan resource allocation, and balance workload across projects. Forecast staffing needs and optimize team utilization while maintaining sustainable pace.
What it loads into context
Frontmatter
40 tokensAlways available to the agent
SKILL.md
670 tokensWhen the skill is activated
Reference documents
1,896 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Files
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# Capacity Planning
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Capacity planning ensures teams have sufficient resources to deliver work at sustainable pace, prevents burnout, and enables accurate commitment to stakeholders.
View the complete source on GitHubCausal Inference
When your agent uses it
Determine cause-and-effect relationships using propensity scoring, instrumental variables, and causal graphs for policy evaluation and treatment effects
What it loads into context
Frontmatter
30 tokensAlways available to the agent
SKILL.md
2,940 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use
- Key Concepts
- Causal Methods
- Implementation with Python
- Causal Assumptions
- Treatment Effect Types
- Method Strengths
- Deliverables
Scripts executed separately
scripts/scaffold-analysis.shtemplates/notebook-template.py
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# Causal Inference
## Overview
Causal inference determines cause-and-effect relationships and estimates treatment effects, going beyond correlation to understand what causes what.
## When to Use
- Evaluating the impact of policy interventions or business decisions
- Estimating treatment effects when randomized experiments aren't feasible
- Controlling for confounding variables in observational data
- Determining if a marketing campaign or product change caused an outcome
- Analyzing heterogeneous treatment effects across different user segments
- Making causal claims from non-experimental data using propensity scores or instrumental variablesView the complete source on GitHubchangelog-maintenance
When your agent uses it
Maintain comprehensive changelogs and release notes following Keep a Changelog format. Use when documenting version history, release notes, or tracking changes across versions.
What it loads into context
Frontmatter
39 tokensAlways available to the agent
SKILL.md
3,279 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
- Overview
- When to Use
- CHANGELOG.md Template
- [1.5.2] - 2024-12-15
- [1.5.0] - 2024-12-01
- [1.0.0] - 2024-10-01
- 🔧 Improvements
- 🐛 Bug Fixes
- 🔒 Security Updates
- 📋 Breaking Changes
- 📖 Documentation
- 🔄 Upgrading
- 🙏 Contributors
- 📞 Support
- 🔜 What's Next?
Scripts executed separately
scripts/validate-api.sh
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# Changelog Maintenance
## Overview
Create and maintain structured changelogs that document all notable changes to your project, following industry best practices like Keep a Changelog and Semantic Versioning.
## When to Use
- Version history documentation
- Release notes generation
- Breaking changes tracking
- Migration guide creation
- Deprecation notices
- Security patch documentationView the complete source on GitHubcicd-pipeline-setup
When your agent uses it
Design and implement CI/CD pipelines with GitHub Actions, GitLab CI, Jenkins, or CircleCI. Use for automated testing, building, and deployment workflows.
What it loads into context
Frontmatter
46 tokensAlways available to the agent
SKILL.md
525 tokensWhen the skill is activated
Reference documents
2,092 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-pipeline.sh
Files
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# CI/CD Pipeline Setup
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Build automated continuous integration and deployment pipelines that test code, build artifacts, run security checks, and deploy to multiple environments with minimal manual intervention.
View the complete source on GitHubcircuit-breaker-pattern
When your agent uses it
Implement circuit breaker patterns for fault tolerance, automatic failure detection, and fallback mechanisms. Use when calling external services, handling cascading failures, or implementing resilience patterns.
What it loads into context
Frontmatter
45 tokensAlways available to the agent
SKILL.md
595 tokensWhen the skill is activated
Reference documents
2,750 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-api.sh
Files
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# Circuit Breaker Pattern
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement circuit breaker patterns to prevent cascading failures and provide graceful degradation when dependencies fail.
View the complete source on GitHubClassification Modeling
When your agent uses it
Build binary and multiclass classification models using logistic regression, decision trees, and ensemble methods for categorical prediction and classification
What it loads into context
Frontmatter
29 tokensAlways available to the agent
SKILL.md
2,275 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use
- Classification Types
- Common Algorithms
- Key Metrics
- Implementation with Python
- Class Imbalance Handling
- Threshold Selection
- Deliverables
Scripts executed separately
scripts/scaffold-analysis.shtemplates/notebook-template.py
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# Classification Modeling
## Overview
Classification modeling predicts categorical target values, assigning observations to discrete classes or categories based on input features.
## When to Use
- Predicting binary outcomes like customer churn, loan default, or email spam
- Classifying items into multiple categories such as product types or sentiment
- Building credit scoring models or risk assessment systems
- Identifying disease diagnosis or medical condition from patient data
- Predicting customer purchase likelihood or response to marketing
- Detecting fraud, anomalies, or quality defects in production systemsView the complete source on GitHubcloud-cost-management
When your agent uses it
Optimize and manage cloud costs across AWS, Azure, and GCP using reserved instances, spot pricing, and cost monitoring tools.
What it loads into context
Frontmatter
37 tokensAlways available to the agent
SKILL.md
682 tokensWhen the skill is activated
Reference documents
2,842 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-config.sh
Files
SKILL.mdcore3,072 bytesSKILL.mdcore3,072 bytesreferences/aws-cost-optimization-with-aws-cli.mddoc1,481 bytesreferences/azure-cost-management.mddoc1,000 bytesreferences/cost-monitoring-dashboard.mddoc4,776 bytesreferences/gcp-cost-optimization.mddoc880 bytesreferences/terraform-cost-management-configuration.mddoc3,716 bytesscripts/validate-config.shruns427 bytestemplates/config-starter.yamlasset453 bytes
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# Cloud Cost Management
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Cloud cost management involves monitoring, analyzing, and optimizing cloud spending. Implement strategies using reserved instances, spot pricing, proper sizing, and cost allocation to maximize ROI and prevent budget overruns.
View the complete source on GitHubcloud-migration-planning
When your agent uses it
Plan and execute cloud migrations with assessment, database migration, application refactoring, and cutover strategies across AWS, Azure, and GCP.
What it loads into context
Frontmatter
41 tokensAlways available to the agent
SKILL.md
625 tokensWhen the skill is activated
Reference documents
3,575 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-config.sh
Files
SKILL.mdcore2,938 bytesSKILL.mdcore2,938 bytesreferences/cutover-validation-checklist.mddoc1,963 bytesreferences/database-migration-strategies.mddoc1,645 bytesreferences/migration-assessment-and-planning.mddoc5,531 bytesreferences/terraform-migration-infrastructure.mddoc5,734 bytesscripts/validate-config.shruns427 bytestemplates/config-starter.yamlasset453 bytes
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# Cloud Migration Planning
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Cloud migration planning involves assessing current infrastructure, designing migration strategies, executing migrations with minimal downtime, and validating outcomes. Support lift-and-shift, replatforming, and refactoring approaches for smooth cloud adoption.
View the complete source on GitHubcloud-security-configuration
When your agent uses it
Implement comprehensive cloud security across AWS, Azure, and GCP with IAM, encryption, network security, compliance, and threat detection.
What it loads into context
Frontmatter
38 tokensAlways available to the agent
SKILL.md
622 tokensWhen the skill is activated
Reference documents
3,006 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-config.sh
Files
SKILL.mdcore2,882 bytesSKILL.mdcore2,882 bytesreferences/aws-security-configuration.mddoc1,434 bytesreferences/azure-security-configuration.mddoc929 bytesreferences/gcp-security-configuration.mddoc909 bytesreferences/terraform-security-configuration.mddoc8,156 bytesscripts/validate-config.shruns427 bytestemplates/config-starter.yamlasset453 bytes
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# Cloud Security Configuration
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Cloud security requires comprehensive strategies spanning identity management, encryption, network controls, compliance, and threat detection. Implement defense-in-depth with multiple layers of protection and continuous monitoring.
View the complete source on GitHubcloud-storage-optimization
When your agent uses it
Optimize cloud storage across AWS S3, Azure Blob, and GCP Cloud Storage with compression, partitioning, lifecycle policies, and cost management.
What it loads into context
Frontmatter
42 tokensAlways available to the agent
SKILL.md
640 tokensWhen the skill is activated
Reference documents
2,298 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-config.sh
Files
SKILL.mdcore2,877 bytesSKILL.mdcore2,877 bytesreferences/aws-s3-storage-optimization.mddoc1,274 bytesreferences/data-compression-and-partitioning-strategy.mddoc4,999 bytesreferences/data-lake-partitioning-strategy.mddoc1,348 bytesreferences/terraform-multi-cloud-storage-configuration.mddoc2,817 bytesscripts/validate-config.shruns427 bytestemplates/config-starter.yamlasset453 bytes
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# Cloud Storage Optimization
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Optimize cloud storage costs and performance across multiple cloud providers using compression, intelligent tiering, data partitioning, and lifecycle management. Reduce storage costs while maintaining accessibility and compliance requirements.
View the complete source on GitHubClustering Analysis
When your agent uses it
Identify groups and patterns in data using k-means, hierarchical clustering, and DBSCAN for cluster discovery, customer segmentation, and unsupervised learning
What it loads into context
Frontmatter
37 tokensAlways available to the agent
SKILL.md
2,368 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use
- Clustering Algorithms
- Key Concepts
- Implementation with Python
- Cluster Quality Metrics
- Algorithm Selection
- Deliverables
Scripts executed separately
scripts/scaffold-analysis.shtemplates/notebook-template.py
Files
SKILL.mdcore8,885 bytesSKILL.mdcore8,885 bytesscripts/scaffold-analysis.shruns394 bytestemplates/notebook-template.pyruns360 bytes
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# Clustering Analysis
## Overview
Clustering partitions data into groups of similar observations without pre-defined labels, enabling discovery of natural patterns and structures in data.
## When to Use
- Segmenting customers based on purchasing behavior or demographics
- Discovering natural groupings in data without prior knowledge of categories
- Identifying market segments for targeted marketing campaigns
- Organizing large datasets into meaningful categories for further analysis
- Finding patterns in gene expression data or medical imaging
- Grouping documents, products, or users by similarity for recommendation systemsView the complete source on GitHubcode-documentation
When your agent uses it
Write comprehensive code documentation including JSDoc, Python docstrings, inline comments, function documentation, and API comments. Use when documenting code, writing docstrings, or creating inline documentation.
What it loads into context
Frontmatter
50 tokensAlways available to the agent
SKILL.md
701 tokensWhen the skill is activated
Reference documents
2,972 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Files
SKILL.mdcore3,059 bytesreferences/class-documentation-2.mddoc2,577 bytesreferences/class-documentation.mddoc2,577 bytesreferences/function-documentation-2.mddoc1,885 bytesreferences/function-documentation.mddoc1,885 bytesreferences/module-documentation.mddoc1,397 bytesreferences/type-definitions.mddoc1,097 bytestemplates/doc-template.mddoc374 bytes
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# Code Documentation
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Create clear, comprehensive code documentation using language-specific standards like JSDoc, Python docstrings, JavaDoc, and inline comments.
View the complete source on GitHubcode-generation-template
When your agent uses it
Generate code from templates and patterns including scaffolding, boilerplate generation, AST-based code generation, and template engines. Use when generating code, scaffolding projects, creating boilerplate, or using templates.
What it loads into context
Frontmatter
56 tokensAlways available to the agent
SKILL.md
670 tokensWhen the skill is activated
Reference documents
4,269 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-api.sh
Files
SKILL.mdcore3,151 bytesreferences/ast-based-code-generation.mddoc3,221 bytesreferences/database-model-generation.mddoc1,484 bytesreferences/graphql-code-generation.mddoc678 bytesreferences/openapi-client-generation.mddoc2,843 bytesreferences/plopjs-generator.mddoc1,916 bytesreferences/project-scaffolding.mddoc4,717 bytesreferences/template-engines.mddoc2,737 bytesscripts/validate-api.shruns440 bytestemplates/api-scaffold.yamlasset467 bytes
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# Code Generation & Templates
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Comprehensive guide to code generation techniques including template engines, AST manipulation, code scaffolding, and automated boilerplate generation for increased productivity and consistency.
View the complete source on GitHubcode-metrics-analysis
When your agent uses it
Analyze code complexity, cyclomatic complexity, maintainability index, and code churn using metrics tools. Use when assessing code quality, identifying refactoring candidates, or monitoring technical debt.
What it loads into context
Frontmatter
50 tokensAlways available to the agent
SKILL.md
570 tokensWhen the skill is activated
Reference documents
2,763 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/scaffold-tests.shtemplates/test-template.js
Files
SKILL.mdcore2,534 bytesreferences/cicd-quality-gates.mddoc886 bytesreferences/eslint-plugin-for-complexity.mddoc1,264 bytesreferences/python-code-metrics-using-radon.mddoc4,502 bytesreferences/typescript-complexity-analyzer.mddoc5,060 bytesscripts/scaffold-tests.shruns574 bytestemplates/test-template.jsruns541 bytes
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# Code Metrics Analysis
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Measure and analyze code quality metrics to identify complexity, maintainability issues, and areas for improvement.
View the complete source on GitHubcode-review-analysis
When your agent uses it
Perform comprehensive code reviews with best practices, security checks, and constructive feedback. Use when reviewing pull requests, analyzing code quality, checking for security vulnerabilities, or providing code improvement suggestions.
What it loads into context
Frontmatter
52 tokensAlways available to the agent
SKILL.md
478 tokensWhen the skill is activated
Reference documents
1,059 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-schema.sh
Files
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# Code Review Analysis
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Systematic code review process covering code quality, security, performance, maintainability, and best practices following industry standards.
View the complete source on GitHubCohort Analysis
When your agent uses it
Track and analyze user cohorts over time, calculate retention rates, and identify behavioral patterns for customer lifecycle and retention analysis
What it loads into context
Frontmatter
30 tokensAlways available to the agent
SKILL.md
2,712 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use
- Core Concepts
- Cohort Types
- Implementation with Python
- Key Metrics
- Insights to Look For
- Deliverables
Scripts executed separately
scripts/scaffold-analysis.shtemplates/notebook-template.py
Files
SKILL.mdcore9,795 bytesSKILL.mdcore9,795 bytesscripts/scaffold-analysis.shruns394 bytestemplates/notebook-template.pyruns360 bytes
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# Cohort Analysis
## Overview
Cohort analysis tracks groups of users with shared characteristics over time, revealing patterns in retention, engagement, and lifetime value.
## When to Use
- Measuring user retention rates and identifying when users churn
- Analyzing customer lifetime value (LTV) and payback periods
- Comparing performance across different user acquisition channels or campaigns
- Understanding how product changes affect different user groups over time
- Tracking engagement patterns and identifying early warning signs of churn
- Evaluating the long-term impact of onboarding improvements or feature releasesView the complete source on GitHubcolor-accessibility
When your agent uses it
Design color palettes that are accessible to all users including those with color blindness. Ensure sufficient contrast, meaningful use of color, and inclusive design.
What it loads into context
Frontmatter
42 tokensAlways available to the agent
SKILL.md
618 tokensWhen the skill is activated
Reference documents
1,448 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
templates/component-template.tsx
Files
SKILL.mdcore2,594 bytesreferences/accessible-color-usage.mddoc1,590 bytesreferences/color-contrast-standards.mddoc848 bytesreferences/color-vision-deficiency-simulation.mddoc2,400 bytesreferences/testing-validation.mddoc1,104 bytestemplates/component-template.tsxruns318 bytes
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# Color Accessibility
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Accessible color design ensures all users, including those with color vision deficiency, can access and understand information.
View the complete source on GitHubcompetitor-analysis
When your agent uses it
Analyze competitive landscape to identify strengths, weaknesses, opportunities, and threats. Inform product strategy and positioning based on market insights.
What it loads into context
Frontmatter
36 tokensAlways available to the agent
SKILL.md
631 tokensWhen the skill is activated
Reference documents
1,094 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Files
SKILL.mdcore3,055 bytesSKILL.mdcore3,055 bytesreferences/competitive-insights-report.mddoc171 bytesreferences/competitive-matrix.mddoc149 bytesreferences/competitor-identification.mddoc2,407 bytesreferences/swot-analysis.mddoc2,155 bytestemplates/process-template.mddoc415 bytes
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# Competitor Analysis
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Systematic competitor analysis reveals market positioning, identifies competitive advantages, and informs strategic product decisions.
View the complete source on GitHubComputer Vision
When your agent uses it
Implement computer vision tasks including image classification, object detection, segmentation, and pose estimation using PyTorch and TensorFlow
What it loads into context
Frontmatter
29 tokensAlways available to the agent
SKILL.md
3,164 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
- Overview
- When to Use
- Computer Vision Tasks
- Popular Architectures
- Python Implementation
- Common CV Architectures
- Image Preprocessing
- Evaluation Metrics
- Deliverables
Scripts executed separately
scripts/scaffold-analysis.shtemplates/notebook-template.py
Files
SKILL.mdcore12,008 bytesSKILL.mdcore12,008 bytesscripts/scaffold-analysis.shruns394 bytestemplates/notebook-template.pyruns360 bytes
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# Computer Vision
## Overview
Computer vision enables machines to understand visual information from images and videos, powering applications like autonomous driving, medical imaging, and surveillance.
## When to Use
- Image classification and object recognition tasks
- Object detection and localization in images
- Semantic or instance segmentation projects
- Pose estimation and human activity recognition
- Face recognition and biometric systems
- Medical imaging analysis and diagnosticsView the complete source on GitHubconcurrency-patterns
When your agent uses it
Implement thread-safe code, mutexes, semaphores, async/await patterns, and concurrent data structures. Use when handling parallel operations, race conditions, or building high-performance concurrent systems.
What it loads into context
Frontmatter
52 tokensAlways available to the agent
SKILL.md
611 tokensWhen the skill is activated
Reference documents
2,957 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-api.sh
Files
SKILL.mdcore2,744 bytesreferences/async-patterns-python-asyncio.mddoc2,068 bytesreferences/go-style-channels-simulation.mddoc1,996 bytesreferences/mutex-and-semaphore-typescript.mddoc1,974 bytesreferences/promise-pool-typescript.mddoc1,158 bytesreferences/python-threading-patterns.mddoc2,912 bytesreferences/worker-pool-nodejs.mddoc2,384 bytesscripts/validate-api.shruns440 bytestemplates/api-scaffold.yamlasset467 bytes
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# Concurrency Patterns
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement safe concurrent code using proper synchronization primitives and patterns for parallel execution.
View the complete source on GitHubconfiguration-management
When your agent uses it
Manage application configuration including environment variables, settings management, configuration hierarchies, secret management, feature flags, and 12-factor app principles. Use for config, environment setup, or settings management.
What it loads into context
Frontmatter
54 tokensAlways available to the agent
SKILL.md
700 tokensWhen the skill is activated
Reference documents
4,184 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-schema.sh
Files
SKILL.mdcore3,332 bytesSKILL.mdcore3,332 bytesSKILL.mdcore3,332 bytesreferences/12-factor-app-configuration.mddoc1,936 bytesreferences/configuration-hierarchies.mddoc2,301 bytesreferences/configuration-validation.mddoc1,041 bytesreferences/dynamic-configuration-remote-config.mddoc1,591 bytesreferences/environment-variables.mddoc2,915 bytesreferences/feature-flags.mddoc3,401 bytesreferences/secret-management.mddoc4,022 bytesscripts/validate-schema.shruns426 bytestemplates/migration-template.sqlasset302 bytes
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# Configuration Management
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Comprehensive guide to managing application configuration across environments, including environment variables, configuration files, secrets, feature flags, and following 12-factor app methodology.
View the complete source on GitHubcontainer-debugging
When your agent uses it
Debug Docker containers and containerized applications. Diagnose deployment issues, container lifecycle problems, and resource constraints.
What it loads into context
Frontmatter
32 tokensAlways available to the agent
SKILL.md
483 tokensWhen the skill is activated
Reference documents
985 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-config.sh
Files
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# Container Debugging
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Container debugging focuses on issues within Docker/Kubernetes environments including resource constraints, networking, and application runtime problems.
View the complete source on GitHubcontainer-registry-management
When your agent uses it
Manage container registries (Docker Hub, ECR, GCR) with image scanning, retention policies, and access control.
What it loads into context
Frontmatter
37 tokensAlways available to the agent
SKILL.md
625 tokensWhen the skill is activated
Reference documents
2,721 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-config.sh
Files
SKILL.mdcore2,694 bytesSKILL.mdcore2,694 bytesreferences/aws-ecr-setup-and-management.mddoc5,638 bytesreferences/container-image-build-and-push.mddoc1,305 bytesreferences/image-signing-with-notary.mddoc428 bytesreferences/registry-access-control.mddoc1,304 bytesreferences/registry-monitoring.mddoc1,891 bytesscripts/validate-config.shruns427 bytestemplates/config-starter.yamlasset453 bytes
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# Container Registry Management
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement comprehensive container registry management including image scanning, vulnerability detection, retention policies, access control, and multi-region replication.
View the complete source on GitHubcontinuous-testing
When your agent uses it
Integrate automated testing into CI/CD pipelines for continuous quality feedback. Use for continuous testing, CI testing, automated testing pipelines, test orchestration, and DevOps quality practices.
What it loads into context
Frontmatter
47 tokensAlways available to the agent
SKILL.md
615 tokensWhen the skill is activated
Reference documents
4,249 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-pipeline.sh
Files
SKILL.mdcore2,757 bytesreferences/flaky-test-detection.mddoc1,981 bytesreferences/github-actions-ci-pipeline.mddoc6,000 bytesreferences/gitlab-ci-pipeline.mddoc1,770 bytesreferences/jenkins-pipeline.mddoc3,545 bytesreferences/test-metrics-dashboard.mddoc2,264 bytesreferences/test-selection-strategy.mddoc1,832 bytesscripts/validate-pipeline.shruns502 bytestemplates/pipeline.yamlasset665 bytes
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# Continuous Testing
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Continuous testing integrates automated testing throughout the software development lifecycle, providing rapid feedback on quality at every stage. It shifts testing left in the development process and ensures that code changes are validated automatically before reaching production.
View the complete source on GitHubCorrelation Analysis
When your agent uses it
Measure relationships between variables using correlation coefficients, correlation matrices, and association tests for correlation measurement, relationship analysis, and multicollinearity detection
What it loads into context
Frontmatter
35 tokensAlways available to the agent
SKILL.md
1,924 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use
- Correlation Types
- Key Concepts
- Implementation with Python
- Interpretation Guidelines
- Important Notes
- Visualization Strategies
- Deliverables
Scripts executed separately
scripts/scaffold-analysis.shtemplates/notebook-template.py
Files
SKILL.mdcore7,386 bytesSKILL.mdcore7,386 bytesscripts/scaffold-analysis.shruns394 bytestemplates/notebook-template.pyruns360 bytes
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# Correlation Analysis
## Overview
Correlation analysis measures the strength and direction of relationships between variables, helping identify which features are related and detect multicollinearity.
## When to Use
- Identifying relationships between numerical variables
- Detecting multicollinearity before regression modeling
- Exploratory data analysis to understand feature dependencies
- Feature selection and dimensionality reduction
- Validating assumptions about variable relationships
- Comparing linear and non-linear associationsView the complete source on GitHubcorrelation-tracing
When your agent uses it
Implement distributed tracing with correlation IDs, trace propagation, and span tracking across microservices. Use when debugging distributed systems, monitoring request flows, or implementing observability.
What it loads into context
Frontmatter
45 tokensAlways available to the agent
SKILL.md
576 tokensWhen the skill is activated
Reference documents
2,646 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/health-check.sh
Files
SKILL.mdcore2,673 bytesreferences/correlation-id-middleware-express.mddoc3,609 bytesreferences/manual-trace-propagation.mddoc3,299 bytesreferences/opentelemetry-integration.mddoc2,188 bytesreferences/python-distributed-tracing.mddoc1,895 bytesscripts/health-check.shruns383 bytestemplates/dashboard-config.yamlasset472 bytes
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# Correlation & Distributed Tracing
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement correlation IDs and distributed tracing to track requests across multiple services and understand system behavior.
View the complete source on GitHubcpu-profiling
When your agent uses it
Profile CPU usage to identify hot spots and bottlenecks. Optimize code paths consuming most CPU time for better performance and resource efficiency.
What it loads into context
Frontmatter
39 tokensAlways available to the agent
SKILL.md
456 tokensWhen the skill is activated
Reference documents
1,077 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
templates/component-template.tsx
Files
SKILL.mdcore2,010 bytesreferences/analysis-interpretation.mddoc724 bytesreferences/monitoring-best-practices.mddoc1,169 bytesreferences/optimization-process.mddoc1,343 bytesreferences/profiling-tools.mddoc846 bytestemplates/component-template.tsxruns318 bytes
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# CPU Profiling
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
CPU profiling identifies which functions consume most CPU time, enabling targeted optimization of expensive code paths.
View the complete source on GitHubcross-platform-compatibility
When your agent uses it
Handle cross-platform compatibility including file paths, environment detection, platform-specific dependencies, and testing across Windows, macOS, and Linux. Use when dealing with platform-specific code or OS compatibility.
What it loads into context
Frontmatter
52 tokensAlways available to the agent
SKILL.md
830 tokensWhen the skill is activated
Reference documents
3,850 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/scaffold-tests.shtemplates/test-template.js
Files
SKILL.mdcore3,973 bytesreferences/build-configuration.mddoc562 bytesreferences/character-encoding.mddoc1,395 bytesreferences/environment-variables.mddoc1,007 bytesreferences/file-path-handling.mddoc2,346 bytesreferences/file-permissions.mddoc965 bytesreferences/line-endings.mddoc990 bytesreferences/platform-detection.mddoc2,313 bytesreferences/platform-specific-dependencies.mddoc1,001 bytesreferences/process-management.mddoc1,551 bytesreferences/shell-commands.mddoc1,521 bytesreferences/testing-across-platforms.mddoc1,888 bytesscripts/scaffold-tests.shruns574 bytestemplates/test-template.jsruns541 bytes
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# Cross-Platform Compatibility
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Comprehensive guide to writing code that works seamlessly across Windows, macOS, and Linux. Covers file path handling, environment detection, platform-specific features, and testing strategies.
View the complete source on GitHubcsrf-protection
When your agent uses it
Implement Cross-Site Request Forgery (CSRF) protection using tokens, SameSite cookies, and origin validation. Use when building forms and state-changing operations.
What it loads into context
Frontmatter
46 tokensAlways available to the agent
SKILL.md
587 tokensWhen the skill is activated
Reference documents
2,684 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/security-checklist.sh
Files
SKILL.mdcore2,537 bytesreferences/double-submit-cookie-pattern.mddoc1,885 bytesreferences/frontend-csrf-implementation.mddoc2,844 bytesreferences/nodejsexpress-csrf-protection.mddoc3,154 bytesreferences/origin-and-referer-validation.mddoc796 bytesreferences/python-flask-csrf-protection.mddoc2,202 bytesscripts/security-checklist.shruns734 bytes
Read SKILL.md
# CSRF Protection
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement comprehensive Cross-Site Request Forgery protection using synchronizer tokens, double-submit cookies, SameSite cookie attributes, and custom headers.
View the complete source on GitHubcss-architecture
When your agent uses it
Organize CSS using BEM, SMACSS, and CSS-in-JS patterns. Use when building scalable, maintainable styling systems with proper naming conventions.
What it loads into context
Frontmatter
44 tokensAlways available to the agent
SKILL.md
561 tokensWhen the skill is activated
Reference documents
2,294 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
templates/component-template.tsx
Files
SKILL.mdcore2,357 bytesreferences/bem-block-element-modifier-pattern.mddoc1,269 bytesreferences/css-in-js-with-styled-components.mddoc1,370 bytesreferences/css-variables-custom-properties.mddoc1,630 bytesreferences/smacss-scalable-and-modular-architecture-for-css.mddoc1,361 bytesreferences/utility-first-css-tailwind-pattern.mddoc1,402 bytestemplates/component-template.tsxruns318 bytes
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# CSS Architecture
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Build maintainable CSS systems using methodologies like BEM (Block Element Modifier), SMACSS, and CSS-in-JS patterns with proper organization and conventions.
View the complete source on GitHubData Cleaning Pipeline
When your agent uses it
Build robust processes for data cleaning, missing value imputation, outlier handling, and data transformation for data preprocessing, data quality, and data pipeline automation
What it loads into context
Frontmatter
38 tokensAlways available to the agent
SKILL.md
1,780 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use
- Core Components
- Cleaning Strategies
- Implementation with Python
- Pipeline Architecture
- Advanced Cleaning Techniques
- Key Decisions
- Validation Steps
- Deliverables
Scripts executed separately
scripts/scaffold-analysis.shtemplates/notebook-template.py
Files
SKILL.mdcore7,141 bytesSKILL.mdcore7,141 bytesSKILL.mdcore7,141 bytesSKILL.mdcore7,141 bytesscripts/scaffold-analysis.shruns394 bytestemplates/notebook-template.pyruns360 bytes
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# Data Cleaning Pipeline
## Overview
Data cleaning pipelines transform raw, messy data into clean, standardized formats suitable for analysis and modeling through systematic handling of missing values, outliers, and data quality issues.
## When to Use
- Preparing raw datasets for analysis or modeling
- Handling missing values and data quality issues
- Removing duplicates and standardizing formats
- Detecting and treating outliers
- Building automated data preprocessing workflows
- Ensuring data integrity and consistencyView the complete source on GitHubdata-encryption
When your agent uses it
Implement strong encryption using AES, RSA, TLS, and proper key management. Use when securing data at rest, in transit, or implementing end-to-end encryption.
What it loads into context
Frontmatter
45 tokensAlways available to the agent
SKILL.md
608 tokensWhen the skill is activated
Reference documents
3,648 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/security-checklist.sh
Files
SKILL.mdcore2,537 bytesreferences/database-encryption-postgresql.mddoc1,468 bytesreferences/nodejs-encryption-library.mddoc6,448 bytesreferences/python-cryptography-implementation.mddoc6,103 bytesreferences/tlsssl-configuration.mddoc1,206 bytesscripts/security-checklist.shruns734 bytes
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# Data Encryption
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement robust encryption strategies for protecting sensitive data at rest and in transit using industry-standard cryptographic algorithms and key management practices.
View the complete source on GitHubdata-migration-scripts
When your agent uses it
Create safe, reversible database migration scripts with rollback capabilities, data validation, and zero-downtime deployments. Use when changing database schemas, migrating data between systems, or performing large-scale data transformations.
What it loads into context
Frontmatter
56 tokensAlways available to the agent
SKILL.md
781 tokensWhen the skill is activated
Reference documents
3,379 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-schema.sh
Files
SKILL.mdcore3,477 bytesreferences/alembic-migrations-pythonsqlalchemy.mddoc2,050 bytesreferences/cross-database-migration.mddoc2,282 bytesreferences/knexjs-migrations-nodejs.mddoc2,532 bytesreferences/large-data-migration-with-batching.mddoc2,929 bytesreferences/migration-validation.mddoc3,044 bytesreferences/zero-downtime-migration-pattern.mddoc1,525 bytesscripts/validate-schema.shruns426 bytestemplates/migration-template.sqlasset302 bytes
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# Data Migration Scripts
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Create robust, safe, and reversible data migration scripts for database schema changes and data transformations with minimal downtime.
View the complete source on GitHubdata-replication-setup
When your agent uses it
Set up database replication for high availability and disaster recovery. Use when configuring master-slave replication, multi-master setups, or replication monitoring.
What it loads into context
Frontmatter
44 tokensAlways available to the agent
SKILL.md
475 tokensWhen the skill is activated
Reference documents
952 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-schema.sh
Files
SKILL.mdcore2,069 bytesreferences/logical-replication.mddoc715 bytesreferences/master-slave-primary-standby-setup.mddoc1,580 bytesreferences/master-slave-setup.mddoc1,325 bytesscripts/validate-schema.shruns426 bytestemplates/migration-template.sqlasset302 bytes
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# Data Replication Setup
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Configure database replication for disaster recovery, load distribution, and high availability. Covers master-slave, multi-master replication, and monitoring strategies.
View the complete source on GitHubData Visualization
When your agent uses it
Create effective visualizations using matplotlib and seaborn for exploratory analysis, presenting insights, and communicating findings with business stakeholders
What it loads into context
Frontmatter
29 tokensAlways available to the agent
SKILL.md
3,173 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
- Overview
- When to Use
- Visualization Types
- Design Principles
- Implementation with Python
- Visualization Best Practices
- Common Chart Types
- Deliverables
Scripts executed separately
scripts/scaffold-analysis.shtemplates/notebook-template.py
Files
SKILL.mdcore11,173 bytesSKILL.mdcore11,173 bytesscripts/scaffold-analysis.shruns394 bytestemplates/notebook-template.pyruns360 bytes
Read SKILL.md
# Data Visualization
## Overview
Data visualization transforms complex data into clear, compelling visual representations that reveal patterns, trends, and insights for storytelling and decision-making.
## When to Use
- Exploratory data analysis and pattern discovery
- Communicating insights to stakeholders
- Comparing distributions and relationships
- Presenting findings in reports and dashboards
- Identifying outliers and anomalies visually
- Creating publication-ready charts and graphsView the complete source on GitHubdatabase-backup-restore
When your agent uses it
Implement backup and restore strategies for disaster recovery. Use when creating backup plans, testing restore procedures, or setting up automated backups.
What it loads into context
Frontmatter
41 tokensAlways available to the agent
SKILL.md
509 tokensWhen the skill is activated
Reference documents
1,913 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-schema.sh
Files
SKILL.mdcore2,228 bytesSKILL.mdcore2,228 bytesreferences/binary-log-backups.mddoc651 bytesreferences/full-database-backup-2.mddoc1,442 bytesreferences/full-database-backup.mddoc1,442 bytesreferences/incremental-differential-backups.mddoc1,151 bytesreferences/mysql-restore.mddoc1,006 bytesreferences/postgresql-restore.mddoc1,319 bytesscripts/validate-schema.shruns426 bytestemplates/migration-template.sqlasset302 bytes
Read SKILL.md
# Database Backup & Restore
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement comprehensive backup and disaster recovery strategies. Covers backup types, retention policies, restore testing, and recovery time objectives (RTO/RPO).
View the complete source on GitHubdatabase-indexing-strategy
When your agent uses it
Design and implement database indexing strategies. Use when creating indexes, choosing index types, or optimizing index performance in PostgreSQL and MySQL.
What it loads into context
Frontmatter
40 tokensAlways available to the agent
SKILL.md
422 tokensWhen the skill is activated
Reference documents
942 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-schema.sh
Files
SKILL.mdcore1,979 bytesreferences/mysql-index-types.mddoc707 bytesreferences/postgresql-index-types.mddoc1,226 bytesreferences/single-column-indexes.mddoc2,071 bytesscripts/validate-schema.shruns426 bytestemplates/migration-template.sqlasset302 bytes
Read SKILL.md
# Database Indexing Strategy
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Design comprehensive indexing strategies to improve query performance, reduce lock contention, and maintain data integrity. Covers index types, design patterns, and maintenance procedures.
View the complete source on GitHubdatabase-migration-management
When your agent uses it
Manage database migrations and schema versioning. Use when planning migrations, version control, rollback strategies, or data transformations in PostgreSQL and MySQL.
What it loads into context
Frontmatter
44 tokensAlways available to the agent
SKILL.md
528 tokensWhen the skill is activated
Reference documents
921 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-schema.sh
Files
SKILL.mdcore2,507 bytesreferences/adding-columns.mddoc811 bytesreferences/creating-indexes-non-blocking.mddoc1,021 bytesreferences/data-transformations.mddoc898 bytesreferences/renaming-columns.mddoc454 bytesreferences/table-structure-changes.mddoc701 bytesscripts/validate-schema.shruns426 bytestemplates/migration-template.sqlasset302 bytes
Read SKILL.md
# Database Migration Management
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement robust database migration systems with version control, rollback capabilities, and data transformation strategies. Includes migration frameworks and production deployment patterns.
View the complete source on GitHubdatabase-monitoring
When your agent uses it
Monitor database performance and health. Use when setting up monitoring, analyzing metrics, or troubleshooting database issues.
What it loads into context
Frontmatter
31 tokensAlways available to the agent
SKILL.md
510 tokensWhen the skill is activated
Reference documents
2,231 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-schema.sh
Files
SKILL.mdcore2,438 bytesreferences/automated-monitoring-dashboard.mddoc1,153 bytesreferences/connection-monitoring.mddoc1,264 bytesreferences/innodb-monitoring.mddoc1,029 bytesreferences/performance-schema.mddoc989 bytesreferences/postgresql-monitoring-setup.mddoc1,166 bytesreferences/query-performance-monitoring.mddoc1,237 bytesreferences/table-index-monitoring.mddoc1,710 bytesscripts/validate-schema.shruns426 bytestemplates/migration-template.sqlasset302 bytes
Read SKILL.md
# Database Monitoring
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement comprehensive database monitoring for performance analysis, health checks, and proactive alerting. Covers metrics collection, analysis, and troubleshooting strategies.
View the complete source on GitHubdatabase-performance-debugging
When your agent uses it
Debug database performance issues through query analysis, index optimization, and execution plan review. Identify and fix slow queries.
What it loads into context
Frontmatter
34 tokensAlways available to the agent
SKILL.md
475 tokensWhen the skill is activated
Reference documents
1,122 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-schema.sh
Files
SKILL.mdcore2,180 bytesreferences/common-issues-solutions.mddoc1,364 bytesreferences/debugging-process.mddoc1,101 bytesreferences/execution-plan-analysis.mddoc988 bytesreferences/identify-slow-queries.mddoc716 bytesscripts/validate-schema.shruns426 bytestemplates/migration-template.sqlasset302 bytes
Read SKILL.md
# Database Performance Debugging
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Database performance issues directly impact application responsiveness. Debugging focuses on identifying slow queries and optimizing execution plans.
View the complete source on GitHubdatabase-query-optimization
When your agent uses it
Improve database query performance through indexing, query optimization, and execution plan analysis. Reduce response times and database load.
What it loads into context
Frontmatter
35 tokensAlways available to the agent
SKILL.md
462 tokensWhen the skill is activated
Reference documents
1,051 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-schema.sh
Files
SKILL.mdcore2,103 bytesreferences/indexing-strategy.mddoc1,101 bytesreferences/optimization-checklist.mddoc1,361 bytesreferences/query-analysis.mddoc619 bytesreferences/query-optimization-techniques.mddoc1,136 bytesscripts/validate-schema.shruns426 bytestemplates/migration-template.sqlasset302 bytes
Read SKILL.md
# Database Query Optimization
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Slow database queries are a common performance bottleneck. Optimization through indexing, efficient queries, and caching dramatically improves application performance.
View the complete source on GitHubdatabase-schema-design
When your agent uses it
Design database schemas with normalization, relationships, and constraints. Use when creating new database schemas, designing tables, or planning data models for PostgreSQL and MySQL.
What it loads into context
Frontmatter
45 tokensAlways available to the agent
SKILL.md
534 tokensWhen the skill is activated
Reference documents
882 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-schema.sh
Files
SKILL.mdcore2,289 bytesreferences/entity-relationship-patterns.mddoc1,420 bytesreferences/first-normal-form-1nf.mddoc656 bytesreferences/second-normal-form-2nf.mddoc770 bytesreferences/third-normal-form-3nf.mddoc660 bytesscripts/validate-schema.shruns426 bytestemplates/migration-template.sqlasset302 bytes
Read SKILL.md
# Database Schema Design
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Design scalable, normalized database schemas with proper relationships, constraints, and data types. Includes normalization techniques, relationship patterns, and constraint strategies.
View the complete source on GitHubdatabase-schema-documentation
When your agent uses it
Document database schemas, ERD diagrams, table relationships, indexes, and constraints. Use when documenting database schema, creating ERD diagrams, or writing table documentation.
What it loads into context
Frontmatter
47 tokensAlways available to the agent
SKILL.md
567 tokensWhen the skill is activated
Reference documents
2,222 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
Scripts executed separately
scripts/validate-schema.sh
Files
SKILL.mdcore2,563 bytesreferences/enum-types.mddoc701 bytesreferences/orderitems.mddoc1,713 bytesreferences/orders.mddoc2,769 bytesreferences/products.mddoc2,640 bytesreferences/users.mddoc2,133 bytesscripts/validate-schema.shruns426 bytestemplates/migration-template.sqlasset302 bytes
Read SKILL.md
# Database Schema Documentation
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Create comprehensive database schema documentation including entity relationship diagrams (ERD), table definitions, indexes, constraints, and data dictionaries.
View the complete source on GitHubdatabase-sharding
When your agent uses it
Implement database sharding for horizontal scalability. Use when scaling large databases, distributing data across multiple servers, or designing sharded architectures.
What it loads into context
Frontmatter
40 tokensAlways available to the agent
SKILL.md
556 tokensWhen the skill is activated
Reference documents
1,090 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-schema.sh
Files
SKILL.mdcore2,395 bytesreferences/directory-based-sharding.mddoc994 bytesreferences/hash-based-sharding.mddoc1,883 bytesreferences/range-based-sharding.mddoc911 bytesscripts/validate-schema.shruns426 bytestemplates/migration-template.sqlasset302 bytes
Read SKILL.md
# Database Sharding
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement horizontal data partitioning across multiple database servers. Covers sharding strategies, consistent hashing, shard key selection, and cross-shard querying patterns.
View the complete source on GitHubdependency-management
When your agent uses it
Manage project dependencies across languages including npm install, package versioning, dependency conflicts, security scanning, and lock files. Use when dealing with dependencies, version pinning, semantic versioning, or resolving conflicts.
What it loads into context
Frontmatter
56 tokensAlways available to the agent
SKILL.md
751 tokensWhen the skill is activated
Reference documents
2,036 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/scaffold-tests.shtemplates/test-template.js
Files
SKILL.mdcore3,485 bytesSKILL.mdcore3,485 bytesreferences/cicd-best-practices.mddoc615 bytesreferences/dependency-lock-files.mddoc963 bytesreferences/dependency-update-strategies.mddoc765 bytesreferences/monorepo-dependency-management.mddoc715 bytesreferences/package-manager-basics.mddoc1,025 bytesreferences/peer-dependencies.mddoc501 bytesreferences/performance-optimization.mddoc590 bytesreferences/resolving-dependency-conflicts.mddoc899 bytesreferences/security-vulnerability-management.mddoc802 bytesreferences/semantic-versioning-semver.mddoc666 bytesscripts/scaffold-tests.shruns574 bytestemplates/test-template.jsruns541 bytes
Read SKILL.md
# Dependency Management
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Comprehensive dependency management across JavaScript/Node.js, Python, Ruby, Java, and other ecosystems. Covers version control, conflict resolution, security auditing, and best practices for maintaining healthy dependencies.
View the complete source on GitHubdependency-tracking
When your agent uses it
Map, track, and manage project dependencies across teams, systems, and organizations. Identify critical path items and prevent blocking issues through proactive dependency management.
What it loads into context
Frontmatter
43 tokensAlways available to the agent
SKILL.md
623 tokensWhen the skill is activated
Reference documents
1,856 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Files
SKILL.mdcore3,141 bytesSKILL.mdcore3,141 bytesreferences/dependency-dashboard-metrics.mddoc626 bytesreferences/dependency-management-board.mddoc1,779 bytesreferences/dependency-mapping.mddoc3,350 bytesreferences/dependency-resolution.mddoc2,318 bytestemplates/process-template.mddoc415 bytes
Read SKILL.md
# Dependency Tracking
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Dependency tracking ensures visibility of task relationships, identifies blocking issues early, and enables better resource planning and risk mitigation.
View the complete source on GitHubdeployment-automation
When your agent uses it
Automate deployments across environments using Helm, Terraform, and ArgoCD. Implement blue-green deployments, canary releases, and rollback strategies.
What it loads into context
Frontmatter
39 tokensAlways available to the agent
SKILL.md
594 tokensWhen the skill is activated
Reference documents
970 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-config.sh
Files
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# Deployment Automation
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Establish automated deployment pipelines that safely and reliably move applications across development, staging, and production environments with minimal manual intervention and risk.
View the complete source on GitHubdeployment-documentation
When your agent uses it
Document deployment processes, infrastructure setup, CI/CD pipelines, and configuration management. Use when creating deployment guides, infrastructure docs, or CI/CD documentation.
What it loads into context
Frontmatter
43 tokensAlways available to the agent
SKILL.md
486 tokensWhen the skill is activated
Reference documents
1,711 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
Scripts executed separately
scripts/validate-config.sh
Files
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# Deployment Documentation
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Create comprehensive deployment documentation covering infrastructure setup, CI/CD pipelines, deployment procedures, and rollback strategies.
View the complete source on GitHubdesign-handoff
When your agent uses it
Prepare designs for development handoff. Document specifications, interactions, and assets to enable efficient development and maintain design quality.
What it loads into context
Frontmatter
36 tokensAlways available to the agent
SKILL.md
541 tokensWhen the skill is activated
Reference documents
1,314 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
templates/component-template.tsx
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# Design Handoff
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Design handoff bridges design and development, ensuring developers have all information needed to implement designs accurately and efficiently.
View the complete source on GitHubdesign-patterns-implementation
When your agent uses it
Apply appropriate design patterns (Singleton, Factory, Observer, Strategy, etc.) to solve architectural problems. Use when refactoring code architecture, implementing extensible systems, or following SOLID principles.
What it loads into context
Frontmatter
52 tokensAlways available to the agent
SKILL.md
536 tokensWhen the skill is activated
Reference documents
1,465 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/scaffold-tests.shtemplates/test-template.js
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# Design Patterns Implementation
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Apply proven design patterns to create maintainable, extensible, and testable code architectures.
View the complete source on GitHubdesign-system-creation
When your agent uses it
Build comprehensive design systems with components, patterns, and guidelines. Enable consistent design, faster development, and better collaboration across teams.
What it loads into context
Frontmatter
39 tokensAlways available to the agent
SKILL.md
627 tokensWhen the skill is activated
Reference documents
1,286 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
templates/component-template.tsx
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# Design System Creation
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
A design system is a structured set of components, guidelines, and principles that ensure consistency, accelerate development, and improve product quality.
View the complete source on GitHubdeveloper-onboarding
When your agent uses it
Create comprehensive developer onboarding documentation including setup guides, README files, contributing guidelines, and getting started tutorials. Use when onboarding new developers or creating setup documentation.
What it loads into context
Frontmatter
43 tokensAlways available to the agent
SKILL.md
736 tokensWhen the skill is activated
Reference documents
1,843 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
Files
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# Developer Onboarding
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Create comprehensive onboarding documentation that helps new developers quickly set up their development environment, understand the codebase, and start contributing effectively.
View the complete source on GitHubDimensionality Reduction
When your agent uses it
Reduce feature dimensionality using PCA, t-SNE, and feature selection for feature reduction, visualization, and computational efficiency
What it loads into context
Frontmatter
32 tokensAlways available to the agent
SKILL.md
2,328 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
- Overview
- When to Use
- Techniques
- Benefits
- Implementation with Python
- Algorithm Comparison
- Choosing Number of Components
- Deliverables
Scripts executed separately
scripts/scaffold-analysis.shtemplates/notebook-template.py
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# Dimensionality Reduction
## Overview
Dimensionality reduction techniques reduce the number of features while preserving important information, improving model efficiency and enabling visualization of high-dimensional data.
## When to Use
- High-dimensional datasets with many features
- Visualizing complex datasets in 2D or 3D
- Reducing computational complexity and training time
- Removing redundant or highly correlated features
- Preventing overfitting in machine learning models
- Preprocessing data before clustering or classificationView the complete source on GitHubdisaster-recovery-testing
When your agent uses it
Execute comprehensive disaster recovery tests, validate recovery procedures, and document lessons learned from DR exercises.
What it loads into context
Frontmatter
30 tokensAlways available to the agent
SKILL.md
537 tokensWhen the skill is activated
Reference documents
2,590 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-config.sh
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# Disaster Recovery Testing
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement systematic disaster recovery testing to validate recovery procedures, measure RTO/RPO, identify gaps, and ensure team readiness for actual incidents.
View the complete source on GitHubdistributed-tracing
When your agent uses it
Implement distributed tracing with Jaeger and Zipkin for tracking requests across microservices. Use when debugging distributed systems, tracking request flows, or analyzing service performance.
What it loads into context
Frontmatter
45 tokensAlways available to the agent
SKILL.md
513 tokensWhen the skill is activated
Reference documents
1,267 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-api.sh
Files
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# Distributed Tracing
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Set up distributed tracing infrastructure with Jaeger or Zipkin to track requests across microservices and identify performance bottlenecks.
View the complete source on GitHubdjango-application
When your agent uses it
Develop production-grade Django applications with models, views, ORM queries, authentication, and admin interfaces. Use when building web applications, managing databases with Django ORM, and implementing authentication systems.
What it loads into context
Frontmatter
48 tokensAlways available to the agent
SKILL.md
549 tokensWhen the skill is activated
Reference documents
2,005 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-schema.sh
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# Django Application
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Build comprehensive Django web applications with proper model design, view hierarchies, database operations, user authentication, and admin functionality following Django conventions and best practices.
View the complete source on GitHubdns-management
When your agent uses it
Manage DNS records, routing policies, and failover configurations for high availability and disaster recovery.
What it loads into context
Frontmatter
29 tokensAlways available to the agent
SKILL.md
586 tokensWhen the skill is activated
Reference documents
2,330 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-config.sh
Files
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# DNS Management
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement DNS management strategies for traffic routing, failover, geo-routing, and high availability using Route53, Azure DNS, or CloudFlare.
View the complete source on GitHubdocker-containerization
When your agent uses it
Create optimized Docker containers with multi-stage builds, security best practices, and minimal image sizes. Use when containerizing applications, creating Dockerfiles, optimizing container images, or setting up Docker Compose services.
What it loads into context
Frontmatter
54 tokensAlways available to the agent
SKILL.md
614 tokensWhen the skill is activated
Reference documents
1,220 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-pipeline.sh
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# Docker Containerization
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Build production-ready Docker containers following best practices for security, performance, and maintainability.
View the complete source on GitHubdocumentation-site-setup
When your agent uses it
Set up documentation websites using Docusaurus, MkDocs, VitePress, GitBook, or static site generators. Use when creating docs sites, setting up documentation portals, or building static documentation.
What it loads into context
Frontmatter
55 tokensAlways available to the agent
SKILL.md
545 tokensWhen the skill is activated
Reference documents
3,468 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
templates/component-template.tsx
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# Documentation Site Setup
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Set up professional documentation websites using popular static site generators like Docusaurus, MkDocs, VitePress, and GitBook.
View the complete source on GitHube2e-testing-automation
When your agent uses it
Build end-to-end automated tests that simulate real user interactions across the full application stack. Use for E2E test, Selenium, Cypress, Playwright, browser automation, and user journey testing.
What it loads into context
Frontmatter
55 tokensAlways available to the agent
SKILL.md
754 tokensWhen the skill is activated
Reference documents
3,009 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/scaffold-tests.shtemplates/test-template.js
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# E2E Testing Automation
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
End-to-end (E2E) testing validates complete user workflows from the UI through all backend systems, ensuring the entire application stack works together correctly from a user's perspective. E2E tests simulate real user interactions with browsers, handling authentication, navigation, form submissions, and validating results.
View the complete source on GitHubemail-service-integration
When your agent uses it
Integrate email services with backends using SMTP, third-party providers, templates, and asynchronous sending. Use when implementing email functionality, sending transactional emails, and managing email workflows.
What it loads into context
Frontmatter
49 tokensAlways available to the agent
SKILL.md
694 tokensWhen the skill is activated
Reference documents
3,271 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-pipeline.sh
Files
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# Email Service Integration
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Build comprehensive email systems with SMTP integration, third-party email providers (SendGrid, Mailgun, AWS SES), HTML templates, email validation, retry mechanisms, and proper error handling.
View the complete source on GitHuberror-tracking
When your agent uses it
Implement error tracking with Sentry for automatic exception monitoring, release tracking, and performance issues. Use when setting up error monitoring, tracking bugs in production, or analyzing application stability.
What it loads into context
Frontmatter
48 tokensAlways available to the agent
SKILL.md
464 tokensWhen the skill is activated
Reference documents
1,504 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-api.sh
Files
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# Error Tracking
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Set up comprehensive error tracking with Sentry to automatically capture, report, and analyze exceptions, performance issues, and application stability.
View the complete source on GitHubevent-sourcing
When your agent uses it
Implement event sourcing and CQRS patterns using event stores, aggregates, and projections. Use when building audit trails, temporal queries, or systems requiring full history.
What it loads into context
Frontmatter
45 tokensAlways available to the agent
SKILL.md
544 tokensWhen the skill is activated
Reference documents
2,878 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/scaffold-analysis.shtemplates/notebook-template.py
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# Event Sourcing
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Store state changes as a sequence of events rather than the current state, enabling temporal queries, audit trails, and event replay.
View the complete source on GitHubExploratory Data Analysis
When your agent uses it
Discover patterns, distributions, and relationships in data through visualization, summary statistics, and hypothesis generation for exploratory data analysis, data profiling, and initial insights
What it loads into context
Frontmatter
38 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
- Overview
- Core Concepts
- When to Use
- Implementation with Python
- Advanced EDA Techniques
- Key Questions to Ask
- Best Practices
- Common Pitfalls
- Deliverables
Scripts executed separately
scripts/scaffold-analysis.shtemplates/notebook-template.py
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# Exploratory Data Analysis (EDA)
## Overview
Exploratory Data Analysis (EDA) is the critical first step in data science projects, systematically examining datasets to understand their characteristics, identify patterns, and assess data quality before formal modeling.
## Core Concepts
- **Data Profiling**: Understanding basic statistics and data types
- **Distribution Analysis**: Examining how variables are distributed
- **Relationship Discovery**: Identifying patterns between variables
- **Anomaly Detection**: Finding outliers and unusual patterns
- **Data Quality Assessment**: Evaluating completeness and consistency
View the complete source on GitHubfastapi-development
When your agent uses it
Build high-performance FastAPI applications with async routes, validation, dependency injection, security, and automatic API documentation. Use when developing modern Python APIs with async support, automatic OpenAPI documentation, and high performance requirements.
What it loads into context
Frontmatter
57 tokensAlways available to the agent
SKILL.md
716 tokensWhen the skill is activated
Reference documents
2,964 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-api.sh
Files
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# FastAPI Development
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Create fast, modern Python APIs using FastAPI with async/await support, automatic API documentation, type validation using Pydantic, dependency injection, JWT authentication, and SQLAlchemy ORM integration.
View the complete source on GitHubFeature Engineering
When your agent uses it
Create and transform features using encoding, scaling, polynomial features, and domain-specific transformations for improved model performance and interpretability
What it loads into context
Frontmatter
30 tokensAlways available to the agent
SKILL.md
2,336 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
- Overview
- When to Use
- Engineering Techniques
- Key Principles
- Implementation with Python
- Best Practices
- Common Transformations
- Deliverables
Scripts executed separately
scripts/scaffold-analysis.shtemplates/notebook-template.py
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# Feature Engineering
## Overview
Feature engineering creates and transforms features to improve model performance, interpretability, and generalization through domain knowledge and mathematical transformations.
## When to Use
- When you need to improve model performance beyond using raw features
- When dealing with categorical variables that need encoding for ML algorithms
- When features have different scales and require normalization
- When creating domain-specific features based on business knowledge
- When handling skewed distributions or non-linear relationships
- When preparing data for different types of ML algorithms with specific requirementsView the complete source on GitHubfeature-flag-system
When your agent uses it
Implement feature flags (toggles) for controlled feature rollouts, A/B testing, canary deployments, and kill switches. Use when deploying new features gradually, testing in production, or managing feature lifecycles.
What it loads into context
Frontmatter
58 tokensAlways available to the agent
SKILL.md
634 tokensWhen the skill is activated
Reference documents
3,746 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/scaffold-tests.shtemplates/test-template.js
Files
SKILL.mdcore2,745 bytesreferences/admin-ui-for-feature-flags.mddoc1,729 bytesreferences/feature-flag-service-typescript.mddoc6,488 bytesreferences/feature-flag-with-analytics.mddoc1,777 bytesreferences/launchdarkly-style-sdk.mddoc3,853 bytesreferences/react-hook-for-feature-flags.mddoc2,180 bytesscripts/scaffold-tests.shruns574 bytestemplates/test-template.jsruns541 bytes
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# Feature Flag System
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement feature flags to decouple deployment from release, enable gradual rollouts, A/B testing, and provide emergency kill switches.
View the complete source on GitHubfile-upload-handling
When your agent uses it
Implement secure file upload handling with validation, virus scanning, storage management, and serving files efficiently. Use when building file upload features, managing file storage, and implementing file download systems.
What it loads into context
Frontmatter
51 tokensAlways available to the agent
SKILL.md
686 tokensWhen the skill is activated
Reference documents
3,954 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-pipeline.sh
Files
SKILL.mdcore3,056 bytesSKILL.mdcore3,056 bytesreferences/fastapi-file-upload.mddoc4,229 bytesreferences/nodejs-express-file-upload-with-multer.mddoc4,611 bytesreferences/pythonflask-file-upload.mddoc6,488 bytesreferences/s3cloud-storage-integration.mddoc1,776 bytesscripts/validate-pipeline.shruns502 bytestemplates/pipeline.yamlasset665 bytes
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# File Upload Handling
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Build secure and robust file upload systems with validation, sanitization, virus scanning, efficient storage management, CDN integration, and proper file serving mechanisms across different backend frameworks.
View the complete source on GitHubflask-api-development
When your agent uses it
Develop lightweight Flask APIs with routing, blueprints, database integration, authentication, and request/response handling. Use when building RESTful APIs, microservices, or lightweight web services with Flask.
What it loads into context
Frontmatter
50 tokensAlways available to the agent
SKILL.md
666 tokensWhen the skill is activated
Reference documents
2,520 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-api.sh
Files
SKILL.mdcore3,204 bytesSKILL.mdcore3,204 bytesreferences/application-factory-and-configuration.mddoc1,267 bytesreferences/authentication-and-jwt.mddoc2,466 bytesreferences/blueprints-for-modular-api-design.mddoc2,115 bytesreferences/database-models-with-sqlalchemy.mddoc2,533 bytesreferences/flask-application-setup.mddoc1,313 bytesreferences/request-validation.mddoc1,205 bytesscripts/validate-api.shruns440 bytestemplates/api-scaffold.yamlasset467 bytes
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# Flask API Development
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Create efficient Flask APIs with blueprints for modular organization, SQLAlchemy for ORM, JWT authentication, comprehensive error handling, and proper request validation following REST principles.
View the complete source on GitHubflutter-development
When your agent uses it
Build beautiful cross-platform mobile apps with Flutter and Dart. Covers widgets, state management with Provider/BLoC, navigation, API integration, and material design.
What it loads into context
Frontmatter
44 tokensAlways available to the agent
SKILL.md
573 tokensWhen the skill is activated
Reference documents
1,546 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
templates/component-template.tsx
Files
SKILL.mdcore2,627 bytesreferences/project-structure-navigation.mddoc1,164 bytesreferences/screens-with-provider-integration.mddoc3,625 bytesreferences/state-management-with-provider.mddoc1,882 bytestemplates/component-template.tsxruns318 bytes
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# Flutter Development
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Create high-performance, visually stunning mobile applications using Flutter with Dart language. Master widget composition, state management patterns, navigation, and API integration.
View the complete source on GitHubform-validation
When your agent uses it
Implement form validation using React Hook Form, Formik, Vee-Validate, and custom validators. Use when building robust form handling with real-time validation.
What it loads into context
Frontmatter
44 tokensAlways available to the agent
SKILL.md
509 tokensWhen the skill is activated
Reference documents
2,434 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
templates/component-template.tsx
Files
SKILL.mdcore2,268 bytesreferences/custom-validator-hook.mddoc1,388 bytesreferences/formik-with-yup-validation.mddoc3,293 bytesreferences/react-hook-form-with-typescript.mddoc2,607 bytesreferences/server-side-validation-integration.mddoc903 bytesreferences/vue-vee-validate.mddoc1,965 bytestemplates/component-template.tsxruns318 bytes
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# Form Validation
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement comprehensive form validation including client-side validation, server-side synchronization, and real-time error feedback with TypeScript type safety.
View the complete source on GitHubfrontend-accessibility
When your agent uses it
Implement WCAG compliance using semantic HTML, ARIA, keyboard navigation, and screen reader support. Use when building inclusive applications for all users.
What it loads into context
Frontmatter
40 tokensAlways available to the agent
SKILL.md
559 tokensWhen the skill is activated
Reference documents
2,319 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
templates/component-template.tsx
Files
SKILL.mdcore2,371 bytesreferences/accessibility-testing.mddoc1,227 bytesreferences/color-contrast-and-visual-accessibility.mddoc1,558 bytesreferences/keyboard-navigation.mddoc2,055 bytesreferences/screen-reader-announcements.mddoc2,023 bytesreferences/semantic-html-and-aria.mddoc2,016 bytestemplates/component-template.tsxruns318 bytes
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# Frontend Accessibility
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Build accessible web applications following WCAG guidelines with semantic HTML, ARIA attributes, keyboard navigation, and screen reader support for inclusive user experiences.
View the complete source on GitHubfrontend-routing
When your agent uses it
Implement client-side routing using React Router, Vue Router, and Angular Router. Use when building multi-page applications with navigation and route protection.
What it loads into context
Frontmatter
40 tokensAlways available to the agent
SKILL.md
537 tokensWhen the skill is activated
Reference documents
2,082 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
templates/component-template.tsx
Files
SKILL.mdcore2,436 bytesreferences/angular-routing.mddoc2,905 bytesreferences/query-parameter-handling.mddoc1,134 bytesreferences/react-router-v6.mddoc2,229 bytesreferences/route-transition-effects.mddoc405 bytesreferences/vue-router-4.mddoc1,845 bytestemplates/component-template.tsxruns318 bytes
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# Frontend Routing
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement client-side routing with navigation, lazy loading, protected routes, and state management for multi-page single-page applications.
View the complete source on GitHubfrontend-state-management
When your agent uses it
Manage application state using Redux, MobX, Zustand, and Context API. Use when centralizing state for complex applications with multiple components.
What it loads into context
Frontmatter
39 tokensAlways available to the agent
SKILL.md
490 tokensWhen the skill is activated
Reference documents
2,057 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
templates/component-template.tsx
Files
SKILL.mdcore2,171 bytesreferences/context-api-usereducer.mddoc2,490 bytesreferences/mobx-observable-state.mddoc1,686 bytesreferences/redux-with-redux-toolkit-react.mddoc2,476 bytesreferences/zustand-lightweight-state-management.mddoc1,530 bytestemplates/component-template.tsxruns318 bytes
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# Frontend State Management
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement scalable state management solutions using modern patterns and libraries to handle application state, side effects, and data flow across components.
View the complete source on GitHubfrontend-testing
When your agent uses it
Implement comprehensive frontend testing using Jest, Vitest, React Testing Library, and Cypress. Use when building robust test suites for UI and integration tests.
What it loads into context
Frontmatter
42 tokensAlways available to the agent
SKILL.md
582 tokensWhen the skill is activated
Reference documents
2,611 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/scaffold-tests.shtemplates/test-template.js
Files
SKILL.mdcore2,592 bytesreferences/cypress-e2e-testing.mddoc2,538 bytesreferences/jest-unit-testing-react.mddoc2,239 bytesreferences/react-testing-library-integration-tests.mddoc3,107 bytesreferences/test-coverage-configuration.mddoc966 bytesreferences/vitest-for-vue-testing.mddoc1,401 bytesscripts/scaffold-tests.shruns574 bytestemplates/test-template.jsruns541 bytes
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# Frontend Testing
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Build comprehensive test suites for frontend applications including unit tests, integration tests, and end-to-end tests with proper coverage and assertions.
View the complete source on GitHubFunnel Analysis
When your agent uses it
Analyze user conversion funnels, identify drop-off points, and optimize conversion rates for conversion optimization and user flow analysis
What it loads into context
Frontmatter
28 tokensAlways available to the agent
SKILL.md
3,082 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use
- Funnel Structure
- Key Metrics
- Implementation with Python
- Funnel Analysis Steps
- Common Drop-off Points
- Deliverables
Scripts executed separately
scripts/scaffold-analysis.shtemplates/notebook-template.py
Files
SKILL.mdcore11,368 bytesSKILL.mdcore11,368 bytesSKILL.mdcore11,368 bytesSKILL.mdcore11,368 bytesscripts/scaffold-analysis.shruns394 bytestemplates/notebook-template.pyruns360 bytes
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# Funnel Analysis
## Overview
Funnel analysis tracks user progression through sequential steps, identifying where users drop off and optimizing each stage for better conversion.
## When to Use
- When optimizing user conversion paths and improving conversion rates
- When identifying bottlenecks and drop-off points in user flows
- When comparing performance across different segments or traffic sources
- When measuring product feature adoption or onboarding effectiveness
- When improving customer journey efficiency and user experience
- When A/B testing different funnel configurations or designsView the complete source on GitHubgap-analysis
When your agent uses it
Identify differences between current state and desired future state. Analyze gaps in capabilities, processes, skills, and technology to plan improvements and investments.
What it loads into context
Frontmatter
40 tokensAlways available to the agent
SKILL.md
599 tokensWhen the skill is activated
Reference documents
1,659 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/scaffold-analysis.shtemplates/notebook-template.py
Files
SKILL.mdcore3,035 bytesSKILL.mdcore3,035 bytesreferences/communication-tracking.mddoc1,068 bytesreferences/gap-analysis-template.mddoc544 bytesreferences/gap-closure-planning.mddoc2,978 bytesreferences/gap-identification-framework.mddoc3,186 bytesscripts/scaffold-analysis.shruns394 bytestemplates/notebook-template.pyruns360 bytes
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# Gap Analysis
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Gap analysis systematically compares current capabilities with desired future state, revealing what needs to change and what investments are required.
View the complete source on GitHubgcp-cloud-functions
When your agent uses it
Deploy serverless functions on Google Cloud Platform with triggers, IAM roles, environment variables, and monitoring. Use for event-driven computing on GCP.
What it loads into context
Frontmatter
41 tokensAlways available to the agent
SKILL.md
587 tokensWhen the skill is activated
Reference documents
2,718 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-config.sh
Files
SKILL.mdcore2,775 bytesSKILL.mdcore2,775 bytesSKILL.mdcore2,775 bytesreferences/cloud-function-creation-with-gcloud-cli.mddoc2,162 bytesreferences/cloud-functions-implementation-nodejs.mddoc3,178 bytesreferences/terraform-cloud-functions-configuration.mddoc6,214 bytesscripts/validate-config.shruns427 bytestemplates/config-starter.yamlasset453 bytes
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# GCP Cloud Functions
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Google Cloud Functions enables event-driven serverless computing on Google Cloud Platform. Build functions with automatic scaling, integrated security, and seamless integration with Google Cloud services for rapid development.
View the complete source on GitHubgcp-cloud-run
When your agent uses it
Deploy containerized applications on Google Cloud Run with automatic scaling, traffic management, and service mesh integration. Use for container-based serverless computing.
What it loads into context
Frontmatter
42 tokensAlways available to the agent
SKILL.md
635 tokensWhen the skill is activated
Reference documents
2,728 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-config.sh
Files
SKILL.mdcore2,810 bytesSKILL.mdcore2,810 bytesreferences/cloud-run-deployment-with-gcloud-cli.mddoc1,068 bytesreferences/containerized-application-nodejs.mddoc1,786 bytesreferences/docker-build-and-push.mddoc406 bytesreferences/terraform-cloud-run-configuration.mddoc7,620 bytesscripts/validate-config.shruns427 bytestemplates/config-starter.yamlasset453 bytes
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# GCP Cloud Run
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Google Cloud Run enables deployment of containerized applications at scale without managing infrastructure. Run stateless HTTP containers with automatic scaling from zero to thousands of instances, paying only for compute time consumed.
View the complete source on GitHubgit-hooks-setup
When your agent uses it
Implement Git hooks using Husky, pre-commit, and custom scripts. Enforce code quality, linting, and testing before commits and pushes.
What it loads into context
Frontmatter
43 tokensAlways available to the agent
SKILL.md
638 tokensWhen the skill is activated
Reference documents
1,433 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/scaffold-tests.shtemplates/test-template.js
Files
SKILL.mdcore2,627 bytesSKILL.mdcore2,627 bytesSKILL.mdcore2,627 bytesreferences/commit-message-validation.mddoc846 bytesreferences/commitlint-configuration.mddoc724 bytesreferences/husky-installation-and-configuration.mddoc515 bytesreferences/pre-commit-framework-python.mddoc1,104 bytesreferences/pre-commit-hook-nodejs.mddoc1,104 bytesreferences/secret-detection-hook.mddoc432 bytesscripts/scaffold-tests.shruns574 bytestemplates/test-template.jsruns541 bytes
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# Git Hooks Setup
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Configure Git hooks to enforce code quality standards, run automated checks, and prevent problematic commits from being pushed to shared repositories.
View the complete source on GitHubgit-workflow-strategy
When your agent uses it
Master Git workflows including GitFlow, GitHub Flow, Trunk-Based Development. Configure branches, merge strategies, and collaboration patterns for team environments.
What it loads into context
Frontmatter
44 tokensAlways available to the agent
SKILL.md
593 tokensWhen the skill is activated
Reference documents
1,050 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-pipeline.sh
Files
SKILL.mdcore2,569 bytesSKILL.mdcore2,569 bytesreferences/collaborative-workflow-with-code-review.mddoc747 bytesreferences/gitflow-workflow-setup.mddoc2,806 bytesreferences/merge-strategy-script.mddoc678 bytesscripts/validate-pipeline.shruns502 bytestemplates/pipeline.yamlasset665 bytes
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# Git Workflow Strategy
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Establish efficient Git workflows that support team collaboration, code quality, and deployment readiness through structured branching strategies and merge patterns.
View the complete source on GitHubgithub-actions-workflow
When your agent uses it
Build comprehensive GitHub Actions workflows for CI/CD, testing, security, and deployment. Master workflows, jobs, steps, and conditional execution.
What it loads into context
Frontmatter
41 tokensAlways available to the agent
SKILL.md
559 tokensWhen the skill is activated
Reference documents
1,051 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-pipeline.sh
Files
SKILL.mdcore2,435 bytesreferences/automated-release-workflow.mddoc875 bytesreferences/complete-cicd-workflow.mddoc2,606 bytesreferences/docker-build-and-push.mddoc585 bytesscripts/validate-pipeline.shruns502 bytestemplates/pipeline.yamlasset665 bytes
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# GitHub Actions Workflow
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Create powerful GitHub Actions workflows to automate testing, building, security scanning, and deployment processes directly from your GitHub repository.
View the complete source on GitHubgitlab-cicd-pipeline
When your agent uses it
Design and implement GitLab CI/CD pipelines with stages, jobs, artifacts, and caching. Configure runners, Docker integration, and deployment strategies.
What it loads into context
Frontmatter
44 tokensAlways available to the agent
SKILL.md
593 tokensWhen the skill is activated
Reference documents
1,658 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-pipeline.sh
Files
SKILL.mdcore2,665 bytesreferences/complete-pipeline-configuration.mddoc2,465 bytesreferences/docker-layer-caching-optimization.mddoc826 bytesreferences/gitlab-runner-configuration.mddoc516 bytesreferences/kubernetes-deployment.mddoc1,331 bytesreferences/multi-project-pipeline.mddoc827 bytesscripts/validate-pipeline.shruns502 bytestemplates/pipeline.yamlasset665 bytes
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# GitLab CI/CD Pipeline
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Create comprehensive GitLab CI/CD pipelines that automate building, testing, and deployment using GitLab Runner infrastructure and container execution.
View the complete source on GitHubgraceful-shutdown
When your agent uses it
Implement graceful shutdown procedures to handle SIGTERM signals, drain connections, complete in-flight requests, and clean up resources properly. Use when deploying containerized applications, handling server restarts, or ensuring zero-downtime deployments.
What it loads into context
Frontmatter
60 tokensAlways available to the agent
SKILL.md
678 tokensWhen the skill is activated
Reference documents
2,981 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-config.sh
Files
SKILL.mdcore3,103 bytesreferences/database-connection-pool-shutdown.mddoc1,218 bytesreferences/expressjs-graceful-shutdown.mddoc5,504 bytesreferences/kubernetes-aware-shutdown.mddoc1,255 bytesreferences/pm2-graceful-shutdown.mddoc1,284 bytesreferences/pythonflask-graceful-shutdown.mddoc1,890 bytesreferences/worker-process-shutdown.mddoc1,960 bytesscripts/validate-config.shruns427 bytestemplates/config-starter.yamlasset453 bytes
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# Graceful Shutdown
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement proper shutdown procedures to ensure all requests are completed, connections are closed, and resources are released before process termination.
View the complete source on GitHubgrafana-dashboard
When your agent uses it
Create professional Grafana dashboards with visualizations, templating, and alerts. Use when building monitoring dashboards, creating data visualizations, or setting up operational insights.
What it loads into context
Frontmatter
45 tokensAlways available to the agent
SKILL.md
586 tokensWhen the skill is activated
Reference documents
1,400 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/health-check.sh
Files
SKILL.mdcore2,702 bytesreferences/docker-compose-setup.mddoc708 bytesreferences/grafana-alert-configuration.mddoc758 bytesreferences/grafana-api-client.mddoc1,000 bytesreferences/grafana-dashboard-json.mddoc2,114 bytesreferences/grafana-provisioning-configuration.mddoc637 bytesscripts/health-check.shruns383 bytestemplates/dashboard-config.yamlasset472 bytes
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# Grafana Dashboard
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Design and implement comprehensive Grafana dashboards with multiple visualization types, variables, and drill-down capabilities for operational monitoring.
View the complete source on GitHubgraphql-implementation
When your agent uses it
Design and implement GraphQL APIs with schema design, resolvers, queries, mutations, subscriptions, and best practices. Use when building GraphQL servers, designing schemas, or migrating from REST to GraphQL.
What it loads into context
Frontmatter
54 tokensAlways available to the agent
SKILL.md
570 tokensWhen the skill is activated
Reference documents
1,765 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-api.sh
Files
SKILL.mdcore2,486 bytesreferences/error-handling.mddoc772 bytesreferences/graphql-schema-design.mddoc1,575 bytesreferences/nodejs-apollo-server-implementation.mddoc1,902 bytesreferences/python-graphql-implementation-graphene.mddoc1,878 bytesreferences/query-examples.mddoc839 bytesscripts/validate-api.shruns440 bytestemplates/api-scaffold.yamlasset467 bytes
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# GraphQL Implementation
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement GraphQL APIs with proper schema design, resolver patterns, error handling, and performance optimization for flexible client-server communication.
View the complete source on GitHubgrpc-service-development
When your agent uses it
Build high-performance gRPC services with Protocol Buffers, bidirectional streaming, and microservice communication. Use when building gRPC servers, defining service contracts, or implementing inter-service communication.
What it loads into context
Frontmatter
50 tokensAlways available to the agent
SKILL.md
591 tokensWhen the skill is activated
Reference documents
1,946 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-api.sh
Files
SKILL.mdcore2,639 bytesreferences/client-implementation.mddoc1,152 bytesreferences/nodejs-grpc-server-implementation.mddoc3,201 bytesreferences/protocol-buffer-service-definition.mddoc1,449 bytesreferences/python-grpc-server-grpcio.mddoc2,268 bytesscripts/validate-api.shruns440 bytestemplates/api-scaffold.yamlasset467 bytes
Read SKILL.md
# gRPC Service Development
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Develop efficient gRPC services using Protocol Buffers for service definition, with support for unary calls, client streaming, server streaming, and bidirectional streaming patterns.
View the complete source on GitHubhealth-check-endpoints
When your agent uses it
Implement comprehensive health check endpoints for liveness, readiness, and dependency monitoring. Use when deploying to Kubernetes, implementing load balancer health checks, or monitoring service availability.
What it loads into context
Frontmatter
48 tokensAlways available to the agent
SKILL.md
564 tokensWhen the skill is activated
Reference documents
2,981 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-config.sh
Files
SKILL.mdcore2,551 bytesreferences/expressjs-health-checks.mddoc7,113 bytesreferences/python-flask-health-checks.mddoc2,570 bytesreferences/spring-boot-actuator-style-java.mddoc3,250 bytesscripts/validate-config.shruns427 bytestemplates/config-starter.yamlasset453 bytes
Read SKILL.md
# Health Check Endpoints
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement health check endpoints to monitor service health, dependencies, and readiness for traffic.
View the complete source on GitHubidempotency-handling
When your agent uses it
Implement idempotency keys and handling to ensure operations can be safely retried without duplicate effects. Use when building payment systems, APIs with retries, or distributed transactions.
What it loads into context
Frontmatter
49 tokensAlways available to the agent
SKILL.md
605 tokensWhen the skill is activated
Reference documents
3,402 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-api.sh
Files
SKILL.mdcore2,649 bytesreferences/database-based-idempotency.mddoc2,771 bytesreferences/express-idempotency-middleware.mddoc4,359 bytesreferences/message-queue-idempotency.mddoc2,647 bytesreferences/stripe-style-idempotency.mddoc5,174 bytesscripts/validate-api.shruns440 bytestemplates/api-scaffold.yamlasset467 bytes
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# Idempotency Handling
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement idempotency to ensure operations produce the same result regardless of how many times they're executed.
View the complete source on GitHubimage-optimization
When your agent uses it
Optimize images for web to reduce file size without sacrificing quality. Use compression, modern formats, and responsive techniques for faster loading.
What it loads into context
Frontmatter
37 tokensAlways available to the agent
SKILL.md
509 tokensWhen the skill is activated
Reference documents
1,035 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
templates/component-template.tsx
Files
SKILL.mdcore2,189 bytesreferences/image-compression-formats.mddoc1,129 bytesreferences/monitoring-best-practices.mddoc768 bytesreferences/optimization-process.mddoc1,126 bytesreferences/responsive-images.mddoc605 bytestemplates/component-template.tsxruns318 bytes
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# Image Optimization
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Images typically comprise 50% of page weight. Optimization dramatically improves performance, especially on mobile networks.
View the complete source on GitHubincident-response-plan
When your agent uses it
Create and execute incident response procedures for security breaches, data leaks, and cyber attacks. Use when handling security incidents, creating response playbooks, or conducting forensic analysis.
What it loads into context
Frontmatter
47 tokensAlways available to the agent
SKILL.md
537 tokensWhen the skill is activated
Reference documents
3,512 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/security-checklist.sh
Files
SKILL.mdcore2,381 bytesSKILL.mdcore2,381 bytesreferences/incident-response-framework.mddoc10,216 bytesreferences/nodejs-incident-detection-response.mddoc5,957 bytesscripts/security-checklist.shruns734 bytes
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# Incident Response Plan
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Structured approach to detecting, responding to, containing, and recovering from security incidents with comprehensive playbooks and automation.
View the complete source on GitHubinformation-architecture
When your agent uses it
Organize and structure information for clarity and discoverability. Design navigation systems, hierarchies, and mental models that match user needs.
What it loads into context
Frontmatter
39 tokensAlways available to the agent
SKILL.md
534 tokensWhen the skill is activated
Reference documents
872 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/scaffold-tests.shtemplates/test-template.js
Files
SKILL.mdcore2,472 bytesreferences/card-sorting-taxonomy.mddoc1,971 bytesreferences/search-discovery.mddoc1,070 bytesreferences/sitemap-navigation-structure.mddoc965 bytesscripts/scaffold-tests.shruns574 bytestemplates/test-template.jsruns541 bytes
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# Information Architecture
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Information Architecture creates logical structures that help users find and understand information easily.
View the complete source on GitHubinfrastructure-cost-optimization
When your agent uses it
Optimize cloud infrastructure costs through resource rightsizing, reserved instances, spot instances, and waste reduction strategies.
What it loads into context
Frontmatter
33 tokensAlways available to the agent
SKILL.md
527 tokensWhen the skill is activated
Reference documents
2,469 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-config.sh
Files
SKILL.mdcore2,386 bytesSKILL.mdcore2,386 bytesreferences/aws-cost-optimization-configuration.mddoc4,672 bytesreferences/cost-monitoring-dashboard.mddoc3,953 bytesreferences/kubernetes-cost-optimization.mddoc2,138 bytesscripts/validate-config.shruns427 bytestemplates/config-starter.yamlasset453 bytes
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# Infrastructure Cost Optimization
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Reduce infrastructure costs through intelligent resource allocation, reserved instances, spot instances, and continuous optimization without sacrificing performance.
View the complete source on GitHubinfrastructure-monitoring
When your agent uses it
Set up comprehensive infrastructure monitoring with Prometheus, Grafana, and alerting systems for metrics, health checks, and performance tracking.
What it loads into context
Frontmatter
38 tokensAlways available to the agent
SKILL.md
487 tokensWhen the skill is activated
Reference documents
2,424 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/health-check.sh
Files
SKILL.mdcore2,270 bytesreferences/alert-rules.mddoc2,708 bytesreferences/alertmanager-configuration.mddoc1,391 bytesreferences/grafana-dashboard.mddoc1,652 bytesreferences/monitoring-deployment.mddoc1,582 bytesreferences/prometheus-configuration.mddoc2,129 bytesscripts/health-check.shruns383 bytestemplates/dashboard-config.yamlasset472 bytes
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# Infrastructure Monitoring
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement comprehensive infrastructure monitoring to track system health, performance metrics, and resource utilization with alerting and visualization across your entire stack.
View the complete source on GitHubintegration-testing
When your agent uses it
Design and implement integration tests that verify component interactions, API endpoints, database operations, and external service communication. Use for integration test, API test, end-to-end component testing, and service layer validation.
What it loads into context
Frontmatter
55 tokensAlways available to the agent
SKILL.md
632 tokensWhen the skill is activated
Reference documents
2,122 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/scaffold-tests.shtemplates/test-template.js
Files
SKILL.mdcore3,134 bytesreferences/api-integration-testing.mddoc4,101 bytesreferences/database-integration-testing.mddoc2,241 bytesreferences/external-service-integration.mddoc1,539 bytesreferences/message-queue-integration.mddoc1,803 bytesscripts/scaffold-tests.shruns574 bytestemplates/test-template.jsruns541 bytes
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# Integration Testing
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Integration testing validates that different components, modules, or services work correctly together. Unlike unit tests that isolate single functions, integration tests verify the interactions between multiple parts of your system including databases, APIs, external services, and infrastructure.
View the complete source on GitHubinteraction-design
When your agent uses it
Design meaningful interactions and microinteractions. Create delightful user experiences through thoughtful animation, feedback, and responsive interface design.
What it loads into context
Frontmatter
36 tokensAlways available to the agent
SKILL.md
547 tokensWhen the skill is activated
Reference documents
990 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
templates/component-template.tsx
Files
SKILL.mdcore2,596 bytesreferences/accessibility-in-interactions.mddoc1,119 bytesreferences/animation-transition-design.mddoc2,543 bytesreferences/error-handling-feedback.mddoc1,045 bytestemplates/component-template.tsxruns318 bytes
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# Interaction Design
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Interaction design focuses on how users engage with systems, creating intuitive and delightful experiences through feedback and responsiveness.
View the complete source on GitHubintermittent-issue-debugging
When your agent uses it
Debug issues that occur sporadically and are hard to reproduce. Use monitoring and systematic investigation to identify root causes of flaky behavior.
What it loads into context
Frontmatter
40 tokensAlways available to the agent
SKILL.md
524 tokensWhen the skill is activated
Reference documents
1,473 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/scaffold-tests.shtemplates/test-template.js
Files
SKILL.mdcore2,384 bytesreferences/capturing-intermittent-issues.mddoc1,571 bytesreferences/common-intermittent-issues.mddoc1,739 bytesreferences/monitoring-prevention.mddoc1,354 bytesreferences/systematic-investigation-process.mddoc1,340 bytesscripts/scaffold-tests.shruns574 bytestemplates/test-template.jsruns541 bytes
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# Intermittent Issue Debugging
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Intermittent issues are the most difficult to debug because they don't occur consistently. Systematic approach and comprehensive monitoring are essential.
View the complete source on GitHubinternationalization-i18n
When your agent uses it
Implement internationalization (i18n) and localization including message extraction, translation catalogs, pluralization rules, date/time/number formatting, RTL language support, and i18n libraries like i18next and gettext. Use for multi-language, translation, or localization needs.
What it loads into context
Frontmatter
71 tokensAlways available to the agent
SKILL.md
922 tokensWhen the skill is activated
Reference documents
4,562 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
templates/component-template.tsx
Files
SKILL.mdcore4,072 bytesreferences/date-and-time-formatting.mddoc2,247 bytesreferences/i18next-javascripttypescript.mddoc3,730 bytesreferences/locale-detection.mddoc1,161 bytesreferences/number-and-currency-formatting.mddoc1,540 bytesreferences/pluralization-rules.mddoc1,634 bytesreferences/python-i18n-gettext.mddoc1,750 bytesreferences/react-intl-formatjs.mddoc1,350 bytesreferences/rtl-right-to-left-language-support.mddoc1,644 bytesreferences/server-side-i18n.mddoc746 bytesreferences/translation-management.mddoc1,976 bytestemplates/component-template.tsxruns318 bytes
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# Internationalization (i18n) & Localization
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Comprehensive guide to implementing internationalization and localization in applications. Covers message translation, pluralization, date/time/number formatting, RTL languages, and integration with popular i18n libraries.
View the complete source on GitHubios-swift-development
When your agent uses it
Develop native iOS apps with Swift. Covers MVVM architecture, SwiftUI, URLSession for networking, Combine for reactive programming, and Core Data persistence.
What it loads into context
Frontmatter
45 tokensAlways available to the agent
SKILL.md
573 tokensWhen the skill is activated
Reference documents
1,487 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-api.sh
Files
SKILL.mdcore2,527 bytesreferences/mvvm-architecture-setup.mddoc1,130 bytesreferences/network-service-with-urlsession.mddoc2,465 bytesreferences/swiftui-views.mddoc2,540 bytesscripts/validate-api.shruns440 bytestemplates/api-scaffold.yamlasset467 bytes
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# iOS Swift Development
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Build high-performance native iOS applications using Swift with modern frameworks including SwiftUI, Combine, and async/await patterns.
View the complete source on GitHubjenkins-pipeline
When your agent uses it
Build Jenkins declarative and scripted pipelines with stages, agents, parameters, and plugins. Implement multi-branch pipelines and deployment automation.
What it loads into context
Frontmatter
40 tokensAlways available to the agent
SKILL.md
498 tokensWhen the skill is activated
Reference documents
714 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-pipeline.sh
Files
SKILL.mdcore2,278 bytesSKILL.mdcore2,278 bytesSKILL.mdcore2,278 bytesSKILL.mdcore2,278 bytesSKILL.mdcore2,278 bytesreferences/declarative-pipeline-jenkinsfile.mddoc1,081 bytesreferences/scripted-pipeline.mddoc1,870 bytesscripts/validate-pipeline.shruns502 bytestemplates/pipeline.yamlasset665 bytes
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# Jenkins Pipeline
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Create enterprise-grade Jenkins pipelines using declarative and scripted approaches to automate building, testing, and deploying with advanced control flow.
View the complete source on GitHubkpi-dashboard-design
When your agent uses it
Design and build dashboards that track key performance indicators. Select relevant metrics, visualize data effectively, and communicate insights to stakeholders.
What it loads into context
Frontmatter
39 tokensAlways available to the agent
SKILL.md
610 tokensWhen the skill is activated
Reference documents
1,463 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/health-check.sh
Files
SKILL.mdcore3,016 bytesSKILL.mdcore3,016 bytesreferences/dashboard-design.mddoc206 bytesreferences/dashboard-implementation.mddoc2,085 bytesreferences/kpi-monitoring-governance.mddoc1,197 bytesreferences/kpi-selection-framework.mddoc2,880 bytesscripts/health-check.shruns383 bytestemplates/dashboard-config.yamlasset472 bytes
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# KPI Dashboard Design
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Effective KPI dashboards make performance visible, enable data-driven decisions, and help teams align around shared goals.
View the complete source on GitHubkubernetes-deployment
When your agent uses it
Deploy, manage, and scale containerized applications on Kubernetes clusters with best practices for production workloads, resource management, and rolling updates.
What it loads into context
Frontmatter
42 tokensAlways available to the agent
SKILL.md
534 tokensWhen the skill is activated
Reference documents
1,581 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-config.sh
Files
SKILL.mdcore2,475 bytesreferences/complete-deployment-with-resource-management.mddoc4,989 bytesreferences/deployment-script.mddoc885 bytesreferences/service-account-and-rbac.mddoc729 bytesscripts/validate-config.shruns427 bytestemplates/config-starter.yamlasset453 bytes
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# Kubernetes Deployment
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Master Kubernetes deployments for managing containerized applications at scale, including multi-container services, resource allocation, health checks, and rolling deployment strategies.
View the complete source on GitHubload-balancer-setup
When your agent uses it
Configure and deploy load balancers (HAProxy, AWS ELB/ALB/NLB) for distributing traffic, session management, and high availability.
What it loads into context
Frontmatter
44 tokensAlways available to the agent
SKILL.md
615 tokensWhen the skill is activated
Reference documents
2,447 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-api.sh
Files
SKILL.mdcore2,652 bytesreferences/aws-application-load-balancer-cloudformation.mddoc4,202 bytesreferences/haproxy-configuration.mddoc3,051 bytesreferences/load-balancer-health-check-script.mddoc1,202 bytesreferences/load-balancer-monitoring.mddoc480 bytesscripts/validate-api.shruns440 bytestemplates/api-scaffold.yamlasset467 bytes
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# Load Balancer Setup
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Deploy and configure load balancers to distribute traffic across multiple backend servers, ensuring high availability, fault tolerance, and optimal resource utilization across your infrastructure.
View the complete source on GitHublog-aggregation
When your agent uses it
Implement centralized logging with ELK Stack, Loki, or Splunk for log collection, parsing, storage, and analysis across infrastructure.
What it loads into context
Frontmatter
38 tokensAlways available to the agent
SKILL.md
667 tokensWhen the skill is activated
Reference documents
2,402 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-config.sh
Files
SKILL.mdcore2,878 bytesreferences/elk-stack-configuration.mddoc1,434 bytesreferences/filebeat-configuration.mddoc1,140 bytesreferences/kibana-dashboard-and-alerts.mddoc1,180 bytesreferences/log-aggregation-deployment-script.mddoc1,595 bytesreferences/logstash-pipeline-configuration.mddoc1,509 bytesreferences/loki-configuration-kubernetes.mddoc1,860 bytesscripts/validate-config.shruns427 bytestemplates/config-starter.yamlasset453 bytes
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# Log Aggregation
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Build comprehensive log aggregation systems to collect, parse, and analyze logs from multiple sources, enabling centralized monitoring, debugging, and compliance auditing.
View the complete source on GitHublog-analysis
When your agent uses it
Analyze application and system logs to identify errors, patterns, and root causes. Use log aggregation tools and structured logging for effective debugging.
What it loads into context
Frontmatter
39 tokensAlways available to the agent
SKILL.md
532 tokensWhen the skill is activated
Reference documents
994 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/security-checklist.sh
Files
SKILL.mdcore2,207 bytesreferences/common-log-analysis-queries.mddoc891 bytesreferences/log-analysis-tools.mddoc1,050 bytesreferences/log-levels-patterns.mddoc1,139 bytesreferences/structured-logging.mddoc784 bytesscripts/security-checklist.shruns734 bytes
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# Log Analysis
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Logs are critical for debugging and monitoring. Effective log analysis quickly identifies issues and enables root cause analysis.
View the complete source on GitHublogging-best-practices
When your agent uses it
Implement structured logging with JSON formats, log levels (DEBUG, INFO, WARN, ERROR), contextual logging, PII handling, and centralized logging. Use for logging, observability, log levels, structured logs, or debugging.
What it loads into context
Frontmatter
60 tokensAlways available to the agent
SKILL.md
848 tokensWhen the skill is activated
Reference documents
4,014 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/health-check.sh
Files
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# Logging Best Practices
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Comprehensive guide to implementing structured, secure, and performant logging across applications. Covers log levels, structured logging formats, contextual information, PII protection, and centralized logging systems.
View the complete source on GitHubmarkdown-documentation
When your agent uses it
Master markdown formatting, GitHub Flavored Markdown, README files, and documentation formatting. Use when writing markdown docs, READMEs, or formatting documentation.
What it loads into context
Frontmatter
45 tokensAlways available to the agent
SKILL.md
550 tokensWhen the skill is activated
Reference documents
1,214 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Files
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# Markdown Documentation
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Master markdown syntax and best practices for creating well-formatted, readable documentation using standard Markdown and GitHub Flavored Markdown (GFM).
View the complete source on GitHubmemory-leak-detection
When your agent uses it
Detect and fix memory leaks using heap snapshots, memory profiling, and leak detection tools. Use when investigating memory growth, OOM errors, or optimizing memory usage.
What it loads into context
Frontmatter
48 tokensAlways available to the agent
SKILL.md
635 tokensWhen the skill is activated
Reference documents
1,822 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
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# Memory Leak Detection
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Identify and fix memory leaks to prevent out-of-memory crashes and optimize application performance.
View the complete source on GitHubmemory-optimization
When your agent uses it
Profile and optimize application memory usage. Identify memory leaks, reduce memory footprint, and improve efficiency for better performance and reliability.
What it loads into context
Frontmatter
38 tokensAlways available to the agent
SKILL.md
478 tokensWhen the skill is activated
Reference documents
1,204 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
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# Memory Optimization
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Memory optimization improves application performance, stability, and reduces infrastructure costs. Efficient memory usage is critical for scalability.
View the complete source on GitHubmicroservices-architecture
When your agent uses it
Design and implement microservices architecture including service boundaries, communication patterns, API gateways, service mesh, service discovery, and distributed system patterns. Use when building microservices, distributed systems, or service-oriented architectures.
What it loads into context
Frontmatter
57 tokensAlways available to the agent
SKILL.md
707 tokensWhen the skill is activated
Reference documents
3,313 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-config.sh
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# Microservices Architecture
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Comprehensive guide to designing, implementing, and maintaining microservices architectures. Covers service decomposition, communication patterns, data management, deployment strategies, and observability for distributed systems.
View the complete source on GitHubML Model Explanation
When your agent uses it
Interpret machine learning models using SHAP, LIME, feature importance, partial dependence, and attention visualization for explainability
What it loads into context
Frontmatter
31 tokensAlways available to the agent
SKILL.md
3,203 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Explanation Techniques
- Explainability Types
- Python Implementation
- Explanation Techniques Comparison
- Interpretability vs Accuracy Trade-off
- Regulatory Compliance
- Deliverables
Scripts executed separately
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# ML Model Explanation
Model explainability makes machine learning decisions transparent and interpretable, enabling trust, compliance, debugging, and actionable insights from predictions.
## Explanation Techniques
- **Feature Importance**: Global feature contribution to predictions
- **SHAP Values**: Game theory-based feature attribution
- **LIME**: Local linear approximations for individual predictions
- **Partial Dependence Plots**: Feature relationship with predictions
- **Attention Maps**: Visualization of model focus areas
- **Surrogate Models**: Simpler interpretable approximations
## Explainability TypesView the complete source on GitHubML Model Training
When your agent uses it
Build and train machine learning models using scikit-learn, PyTorch, and TensorFlow for classification, regression, and clustering tasks
What it loads into context
Frontmatter
34 tokensAlways available to the agent
SKILL.md
2,149 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Training Phases
- Common Algorithms
- Python Implementation
- Training Best Practices
- Key Metrics
- Deliverables
Scripts executed separately
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# ML Model Training
Training machine learning models involves selecting appropriate algorithms, preparing data, and optimizing model parameters to achieve strong predictive performance.
## Training Phases
- **Data Preparation**: Cleaning, encoding, normalization
- **Feature Engineering**: Creating meaningful features
- **Model Selection**: Choosing appropriate algorithms
- **Hyperparameter Tuning**: Optimizing model settings
- **Validation**: Cross-validation and evaluation metrics
- **Deployment**: Preparing models for production
## Common AlgorithmsView the complete source on GitHubML Pipeline Automation
When your agent uses it
Build end-to-end ML pipelines with automated data processing, training, validation, and deployment using Airflow, Kubeflow, and Jenkins
What it loads into context
Frontmatter
35 tokensAlways available to the agent
SKILL.md
3,056 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Pipeline Components
- Orchestration Platforms
- Python Implementation
- Pipeline Best Practices
- Scheduling Strategies
- Deliverables
Scripts executed separately
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# ML Pipeline Automation
ML pipeline automation orchestrates the entire machine learning workflow from data ingestion through model deployment, ensuring reproducibility, scalability, and reliability.
## Pipeline Components
- **Data Ingestion**: Collecting data from multiple sources
- **Data Processing**: Cleaning, transformation, feature engineering
- **Model Training**: Training and hyperparameter tuning
- **Validation**: Cross-validation and testing
- **Deployment**: Moving models to production
- **Monitoring**: Tracking performance metrics
## Orchestration PlatformsView the complete source on GitHubmobile-app-debugging
When your agent uses it
Debug issues specific to mobile applications including platform-specific problems, device constraints, and connectivity issues.
What it loads into context
Frontmatter
31 tokensAlways available to the agent
SKILL.md
458 tokensWhen the skill is activated
Reference documents
1,099 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
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# Mobile App Debugging
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Mobile app debugging addresses platform-specific issues, device hardware limitations, and mobile-specific network conditions.
View the complete source on GitHubmobile-app-testing
When your agent uses it
Comprehensive mobile app testing strategies for iOS and Android. Covers unit tests, UI tests, integration tests, performance testing, and test automation with Detox, Appium, and XCTest.
What it loads into context
Frontmatter
50 tokensAlways available to the agent
SKILL.md
653 tokensWhen the skill is activated
Reference documents
1,814 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
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# Mobile App Testing
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement comprehensive testing strategies for mobile applications including unit tests, UI tests, integration tests, and performance testing.
View the complete source on GitHubmobile-first-design
When your agent uses it
Design for mobile devices first, then scale up to larger screens. Create responsive interfaces that work seamlessly across all device sizes.
What it loads into context
Frontmatter
36 tokensAlways available to the agent
SKILL.md
568 tokensWhen the skill is activated
Reference documents
958 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
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# Mobile-First Design
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Mobile-first design prioritizes small screens as the starting point, ensuring core functionality works on all devices while leveraging larger screens for enhanced experience.
View the complete source on GitHubmobile-offline-support
When your agent uses it
Implement offline-first mobile apps with local storage, sync strategies, and conflict resolution. Covers AsyncStorage, Realm, SQLite, and background sync patterns.
What it loads into context
Frontmatter
44 tokensAlways available to the agent
SKILL.md
565 tokensWhen the skill is activated
Reference documents
2,482 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
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# Mobile Offline Support
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Design offline-first mobile applications that provide seamless user experience regardless of connectivity.
View the complete source on GitHubmocking-stubbing
When your agent uses it
Create and manage mocks, stubs, spies, and test doubles for isolating unit tests from external dependencies. Use for mock, stub, spy, test double, Mockito, Jest mocks, and dependency isolation.
What it loads into context
Frontmatter
55 tokensAlways available to the agent
SKILL.md
696 tokensWhen the skill is activated
Reference documents
3,390 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
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# Mocking and Stubbing
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Mocking and stubbing are essential techniques for isolating units of code during testing by replacing dependencies with controlled test doubles. This enables fast, reliable, and focused unit tests that don't depend on external systems like databases, APIs, or file systems.
View the complete source on GitHubModel Deployment
When your agent uses it
Deploy machine learning models to production using Flask, FastAPI, Docker, cloud platforms (AWS, GCP, Azure), and model serving frameworks
What it loads into context
Frontmatter
35 tokensAlways available to the agent
SKILL.md
2,632 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use
- Deployment Approaches
- Key Considerations
- Python Implementation
- Deployment Checklist
- Cloud Deployment Options
- Performance Optimization
- Deliverables
Scripts executed separately
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# Model Deployment
## Overview
Model deployment is the process of taking a trained machine learning model and making it available for production use through APIs, web services, or batch processing systems.
## When to Use
- When productionizing trained models for real-world inference and predictions
- When building REST APIs or web services for model serving
- When scaling predictions to serve multiple users or applications
- When deploying models to cloud platforms, edge devices, or containers
- When implementing CI/CD pipelines for ML model updates
- When creating batch processing systems for large-scale predictionsView the complete source on GitHubModel Hyperparameter Tuning
When your agent uses it
Optimize hyperparameters using grid search, random search, Bayesian optimization, and automated ML frameworks like Optuna and Hyperopt
What it loads into context
Frontmatter
33 tokensAlways available to the agent
SKILL.md
2,642 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use
- Tuning Methods
- Hyperparameters by Model Type
- Python Implementation
- Tuning Strategy by Model
- Best Practices
- Deliverables
Scripts executed separately
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# Model Hyperparameter Tuning
## Overview
Hyperparameter tuning is the process of systematically searching for the best combination of model configuration parameters to maximize performance on validation data.
## When to Use
- When optimizing model performance beyond baseline configurations
- When comparing different parameter combinations systematically
- When fine-tuning complex models with many hyperparameters
- When seeking the best trade-off between bias, variance, and training time
- When improving model generalization on validation and test data
- When exploring parameter spaces for neural networks, tree models, or ensemble methodsView the complete source on GitHubModel Monitoring
When your agent uses it
Monitor model performance, detect data drift, concept drift, and anomalies in production using Prometheus, Grafana, and MLflow
What it loads into context
Frontmatter
32 tokensAlways available to the agent
SKILL.md
3,399 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use
- Monitoring Components
- Monitoring Tools
- Python Implementation
- Drift Detection Techniques
- Alert Thresholds
- Deliverables
Scripts executed separately
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# Model Monitoring
## Overview
Monitoring deployed machine learning models ensures they continue to perform well in production, detecting data drift, concept drift, and performance degradation.
## When to Use
- When models are deployed in production environments serving real users
- When detecting data drift or concept drift in input features
- When tracking model performance metrics over time
- When ensuring model reliability, accuracy, and operational health
- When implementing ML observability and alerting systems
- When establishing thresholds for model retraining or interventionView the complete source on GitHubmonorepo-management
When your agent uses it
Manage monorepo architectures using Lerna, Turborepo, and Nx. Configure workspaces, dependency versioning, and cross-package testing.
What it loads into context
Frontmatter
43 tokensAlways available to the agent
SKILL.md
649 tokensWhen the skill is activated
Reference documents
1,556 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
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# Monorepo Management
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Establish scalable monorepo structures that support multiple interdependent packages while maintaining build efficiency, dependency management, and deployment coordination.
View the complete source on GitHubmulti-cloud-strategy
When your agent uses it
Design and implement multi-cloud strategies spanning AWS, Azure, and GCP with vendor lock-in avoidance, hybrid deployments, and federation.
What it loads into context
Frontmatter
39 tokensAlways available to the agent
SKILL.md
579 tokensWhen the skill is activated
Reference documents
3,258 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
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# Multi-Cloud Strategy
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Multi-cloud strategies enable leveraging multiple cloud providers for flexibility, redundancy, and optimization. Avoid vendor lock-in, optimize costs by comparing cloud services, and implement hybrid deployments with seamless data synchronization.
View the complete source on GitHubmutation-testing
When your agent uses it
Evaluate test suite quality by introducing code mutations and verifying tests catch them. Use for mutation testing, test quality, mutant detection, Stryker, PITest, and test effectiveness analysis.
What it loads into context
Frontmatter
49 tokensAlways available to the agent
SKILL.md
535 tokensWhen the skill is activated
Reference documents
2,825 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
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# Mutation Testing
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Mutation testing assesses test suite quality by introducing small changes (mutations) to source code and verifying that tests fail. If tests don't catch a mutation, it indicates gaps in test coverage or test quality. This technique helps identify weak or ineffective tests.
View the complete source on GitHubNatural Language Processing
When your agent uses it
Build NLP applications using transformers library, BERT, GPT, text classification, named entity recognition, and sentiment analysis
What it loads into context
Frontmatter
30 tokensAlways available to the agent
SKILL.md
2,758 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use
- NLP Core Tasks
- Popular Models and Libraries
- Python Implementation
- Common NLP Tasks and Models
- Text Preprocessing Pipeline
- Best Practices
- Deliverables
Scripts executed separately
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# Natural Language Processing
## Overview
This skill provides comprehensive tools for building NLP applications using modern transformers, BERT, GPT, and classical NLP techniques for text classification, named entity recognition, sentiment analysis, and more.
## When to Use
- Building text classification systems for sentiment analysis, topic categorization, or intent detection
- Extracting named entities (people, places, organizations) from unstructured text
- Implementing machine translation, text summarization, or question answering systems
- Processing and analyzing large volumes of textual data for insights
- Creating chatbots, virtual assistants, or conversational AI applications
- Fine-tuning pre-trained transformer models for domain-specific NLP tasksView the complete source on GitHubNetwork Analysis
When your agent uses it
Analyze network structures, identify communities, measure centrality, and visualize relationships for social networks and organizational structures
What it loads into context
Frontmatter
27 tokensAlways available to the agent
SKILL.md
2,523 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
- Overview
- When to Use
- Network Concepts
- Key Metrics
- Implementation with Python
- Centrality Measures
- Community Detection
- Applications
- Deliverables
Scripts executed separately
scripts/scaffold-analysis.shtemplates/notebook-template.py
Files
SKILL.mdcore9,334 bytesSKILL.mdcore9,334 bytesSKILL.mdcore9,334 bytesSKILL.mdcore9,334 bytesSKILL.mdcore9,334 bytesSKILL.mdcore9,334 bytesSKILL.mdcore9,334 bytesscripts/scaffold-analysis.shruns394 bytestemplates/notebook-template.pyruns360 bytes
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# Network Analysis
## Overview
This skill enables analysis of network structures to identify communities, measure centrality, detect influential nodes, and visualize complex relationships in social networks, organizational structures, and interconnected systems.
## When to Use
- Analyzing social networks to identify influential users and community structures
- Mapping organizational hierarchies and identifying key connectors or bottlenecks
- Studying citation networks to find impactful research papers and collaboration patterns
- Building recommendation systems based on network relationships and similarities
- Analyzing supply chain networks to optimize logistics and identify vulnerabilities
- Detecting fraud patterns through network analysis of financial transactionsView the complete source on GitHubnetwork-debugging
When your agent uses it
Debug network issues using browser tools and network analysis. Diagnose connection problems, latency, and data transmission issues.
What it loads into context
Frontmatter
33 tokensAlways available to the agent
SKILL.md
494 tokensWhen the skill is activated
Reference documents
1,335 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-api.sh
Files
SKILL.mdcore2,168 bytesreferences/browser-network-tools.mddoc1,378 bytesreferences/checklist.mddoc780 bytesreferences/common-network-issues.mddoc1,794 bytesreferences/debugging-tools-techniques.mddoc1,148 bytesscripts/validate-api.shruns440 bytestemplates/api-scaffold.yamlasset467 bytes
Read SKILL.md
# Network Debugging
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Network debugging identifies connectivity issues, latency problems, and data transmission errors that impact application performance.
View the complete source on GitHubnetwork-security-groups
When your agent uses it
Configure network security groups and firewall rules to control inbound/outbound traffic and implement network segmentation.
What it loads into context
Frontmatter
31 tokensAlways available to the agent
SKILL.md
593 tokensWhen the skill is activated
Reference documents
2,412 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/security-checklist.sh
Files
SKILL.mdcore2,571 bytesreferences/aws-security-groups.mddoc3,205 bytesreferences/gcp-firewall-rules.mddoc952 bytesreferences/kubernetes-network-policies.mddoc2,263 bytesreferences/security-group-management-script.mddoc2,531 bytesscripts/security-checklist.shruns734 bytes
Read SKILL.md
# Network Security Groups
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement network security groups and firewall rules to enforce least privilege access, segment networks, and protect infrastructure from unauthorized access.
View the complete source on GitHubNeural Network Design
When your agent uses it
Design and architect neural networks with various architectures including CNNs, RNNs, Transformers, and attention mechanisms using PyTorch and TensorFlow
What it loads into context
Frontmatter
35 tokensAlways available to the agent
SKILL.md
2,954 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use
- Core Architecture Types
- Network Design Principles
- PyTorch and TensorFlow Implementation
- Architecture Selection Guide
- Key Design Considerations
- Deliverables
Scripts executed separately
scripts/scaffold-analysis.shtemplates/notebook-template.py
Files
SKILL.mdcore11,476 bytesSKILL.mdcore11,476 bytesscripts/scaffold-analysis.shruns394 bytestemplates/notebook-template.pyruns360 bytes
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# Neural Network Design
## Overview
This skill covers designing and implementing neural network architectures including CNNs, RNNs, Transformers, and ResNets using PyTorch and TensorFlow, with focus on architecture selection, layer composition, and optimization techniques.
## When to Use
- Designing custom neural network architectures for computer vision tasks like image classification or object detection
- Building sequence models for time series forecasting, natural language processing, or video analysis
- Implementing transformer-based models for language understanding or generation tasks
- Creating hybrid architectures that combine CNNs, RNNs, and attention mechanisms
- Optimizing network depth, width, and skip connections for better training and performance
- Selecting appropriate activation functions, normalization layers, and regularization techniquesView the complete source on GitHubnginx-configuration
When your agent uses it
Configure Nginx web server for high-performance reverse proxy, load balancing, SSL/TLS, caching, and API gateway functionality.
What it loads into context
Frontmatter
37 tokensAlways available to the agent
SKILL.md
648 tokensWhen the skill is activated
Reference documents
1,900 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-api.sh
Files
SKILL.mdcore2,860 bytesreferences/https-server-with-load-balancing.mddoc3,268 bytesreferences/nginx-configuration-script.mddoc901 bytesreferences/nginx-monitoring-configuration.mddoc554 bytesreferences/production-nginx-configuration.mddoc2,647 bytesscripts/validate-api.shruns440 bytestemplates/api-scaffold.yamlasset467 bytes
Read SKILL.md
# Nginx Configuration
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Master Nginx configuration for production-grade web servers, reverse proxies, load balancing, SSL termination, caching, and API gateway patterns with advanced performance tuning.
View the complete source on GitHubnodejs-express-server
When your agent uses it
Build production-ready Express.js servers with middleware, authentication, routing, and database integration. Use when creating REST APIs, managing requests/responses, implementing middleware chains, and handling server logic.
What it loads into context
Frontmatter
52 tokensAlways available to the agent
SKILL.md
666 tokensWhen the skill is activated
Reference documents
1,631 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/security-checklist.sh
Files
SKILL.mdcore3,189 bytesreferences/authentication-with-jwt.mddoc832 bytesreferences/basic-express-setup.mddoc626 bytesreferences/database-integration-postgresql-with-sequelize.mddoc830 bytesreferences/environment-configuration.mddoc462 bytesreferences/error-handling-middleware.mddoc877 bytesreferences/middleware-chain-implementation.mddoc999 bytesreferences/restful-routes-with-crud-operations.mddoc1,790 bytesscripts/security-checklist.shruns734 bytes
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# Node.js Express Server
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Create robust Express.js applications with proper routing, middleware chains, authentication mechanisms, and database integration following industry best practices.
View the complete source on GitHubnosql-database-design
When your agent uses it
Design NoSQL database schemas for MongoDB and DynamoDB. Use when modeling document structures, designing collections, or planning NoSQL data architectures.
What it loads into context
Frontmatter
44 tokensAlways available to the agent
SKILL.md
547 tokensWhen the skill is activated
Reference documents
1,454 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-schema.sh
Files
SKILL.mdcore2,358 bytesreferences/document-structure-design.mddoc1,419 bytesreferences/dynamodb-item-operations.mddoc809 bytesreferences/global-secondary-indexes-gsi.mddoc888 bytesreferences/indexing-in-mongodb.mddoc668 bytesreferences/schema-validation.mddoc867 bytesreferences/table-structure.mddoc805 bytesscripts/validate-schema.shruns426 bytestemplates/migration-template.sqlasset302 bytes
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# NoSQL Database Design
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Design scalable NoSQL schemas for MongoDB (document) and DynamoDB (key-value). Covers data modeling patterns, denormalization strategies, and query optimization for NoSQL systems.
View the complete source on GitHuboauth-implementation
When your agent uses it
Implement secure OAuth 2.0, OpenID Connect (OIDC), JWT authentication, and SSO integration. Use when building secure authentication systems for web and mobile applications.
What it loads into context
Frontmatter
49 tokensAlways available to the agent
SKILL.md
555 tokensWhen the skill is activated
Reference documents
3,373 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/security-checklist.sh
Files
SKILL.mdcore2,485 bytesreferences/java-spring-security-oauth.mddoc2,404 bytesreferences/nodejs-oauth-20-server.mddoc7,763 bytesreferences/python-openid-connect-implementation.mddoc5,069 bytesscripts/security-checklist.shruns734 bytes
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# OAuth Implementation
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement industry-standard OAuth 2.0 and OpenID Connect authentication flows with JWT tokens, refresh tokens, and secure session management.
View the complete source on GitHubpayment-gateway-integration
When your agent uses it
Integrate payment gateways like Stripe, PayPal, and Square with backends for payment processing, subscription management, and webhook handling. Use when building e-commerce platforms, implementing billing systems, and handling payments securely.
What it loads into context
Frontmatter
60 tokensAlways available to the agent
SKILL.md
647 tokensWhen the skill is activated
Reference documents
3,491 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-api.sh
Files
SKILL.mdcore3,082 bytesSKILL.mdcore3,082 bytesreferences/nodejsexpress-stripe-integration.mddoc4,247 bytesreferences/paypal-integration.mddoc2,204 bytesreferences/stripe-integration-with-pythonflask.mddoc8,831 bytesreferences/subscription-management.mddoc1,867 bytesscripts/validate-api.shruns440 bytestemplates/api-scaffold.yamlasset467 bytes
Read SKILL.md
# Payment Gateway Integration
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Build secure payment processing systems with major payment providers (Stripe, PayPal, Square), handling transactions, subscriptions, webhooks, PCI compliance, and error scenarios across different backend frameworks.
View the complete source on GitHubpenetration-testing
When your agent uses it
Ethical hacking and security testing methodologies using penetration testing tools, exploit frameworks, and manual security validation. Use when assessing application security posture and identifying exploitable vulnerabilities.
What it loads into context
Frontmatter
44 tokensAlways available to the agent
SKILL.md
500 tokensWhen the skill is activated
Reference documents
2,958 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/security-checklist.sh
Files
SKILL.mdcore2,321 bytesSKILL.mdcore2,321 bytesreferences/automated-penetration-testing-framework.mddoc11,316 bytesreferences/burp-suite-automation-script.mddoc3,153 bytesscripts/security-checklist.shruns734 bytes
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# Penetration Testing
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Systematic security testing to identify, exploit, and document vulnerabilities in applications, networks, and infrastructure through simulated attacks.
View the complete source on GitHubperformance-regression-debugging
When your agent uses it
Identify and debug performance regressions from code changes. Use comparison and profiling to locate what degraded performance and restore baseline metrics.
What it loads into context
Frontmatter
40 tokensAlways available to the agent
SKILL.md
513 tokensWhen the skill is activated
Reference documents
1,137 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/scaffold-tests.shtemplates/test-template.js
Files
SKILL.mdcore2,250 bytesreferences/detection-measurement.mddoc1,088 bytesreferences/fixing-verification.mddoc668 bytesreferences/prevention-measures.mddoc884 bytesreferences/root-cause-identification.mddoc1,584 bytesscripts/scaffold-tests.shruns574 bytestemplates/test-template.jsruns541 bytes
Read SKILL.md
# Performance Regression Debugging
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Performance regressions occur when code changes degrade application performance. Detection and quick resolution are critical.
View the complete source on GitHubperformance-testing
When your agent uses it
Design and execute performance tests to measure response times, throughput, and resource utilization. Use for performance test, load test, JMeter, k6, benchmark, latency testing, and scalability analysis.
What it loads into context
Frontmatter
50 tokensAlways available to the agent
SKILL.md
757 tokensWhen the skill is activated
Reference documents
3,123 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-api.sh
Files
SKILL.mdcore3,230 bytesreferences/apache-jmeter.mddoc1,765 bytesreferences/database-query-performance.mddoc2,149 bytesreferences/jmh-for-java-benchmarking.mddoc1,801 bytesreferences/k6-for-api-load-testing.mddoc2,934 bytesreferences/pytest-benchmark-for-python.mddoc2,388 bytesreferences/real-time-monitoring.mddoc1,866 bytesscripts/validate-api.shruns440 bytestemplates/api-scaffold.yamlasset467 bytes
Read SKILL.md
# Performance Testing
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Performance testing measures how systems behave under various load conditions, including response times, throughput, resource utilization, and scalability. It helps identify bottlenecks, validate performance requirements, and ensure systems can handle expected loads.
View the complete source on GitHubpolyglot-integration
When your agent uses it
Integrate multiple programming languages using FFI, native bindings, gRPC, or language bridges. Use when combining strengths of different languages or integrating legacy systems.
What it loads into context
Frontmatter
47 tokensAlways available to the agent
SKILL.md
602 tokensWhen the skill is activated
Reference documents
1,407 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-pipeline.sh
Files
SKILL.mdcore2,457 bytesreferences/grpc-polyglot-communication.mddoc1,516 bytesreferences/java-from-python-py4j.mddoc680 bytesreferences/nodejs-native-addons-c.mddoc1,127 bytesreferences/python-from-nodejs.mddoc1,145 bytesreferences/rust-from-python-pyo3.mddoc821 bytesscripts/validate-pipeline.shruns502 bytestemplates/pipeline.yamlasset665 bytes
Read SKILL.md
# Polyglot Integration
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Integrate code written in different programming languages to leverage their unique strengths and ecosystems.
View the complete source on GitHubprocess-mapping
When your agent uses it
Visualize and document current and future business processes. Identify inefficiencies, dependencies, and improvement opportunities through detailed process mapping and analysis.
What it loads into context
Frontmatter
40 tokensAlways available to the agent
SKILL.md
615 tokensWhen the skill is activated
Reference documents
1,794 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Files
SKILL.mdcore3,021 bytesreferences/current-state-analysis.mddoc1,619 bytesreferences/future-state-design.mddoc2,186 bytesreferences/process-documentation.mddoc2,635 bytesreferences/process-improvement-metrics.mddoc1,019 bytestemplates/process-template.mddoc415 bytes
Read SKILL.md
# Process Mapping
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Process mapping creates visual representations of workflows, helping teams understand current operations, identify bottlenecks, and design improvements.
View the complete source on GitHubprofiling-optimization
When your agent uses it
Profile application performance, identify bottlenecks, and optimize hot paths using CPU profiling, flame graphs, and benchmarking. Use when investigating performance issues or optimizing critical code paths.
What it loads into context
Frontmatter
48 tokensAlways available to the agent
SKILL.md
566 tokensWhen the skill is activated
Reference documents
1,930 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-api.sh
Files
SKILL.mdcore2,531 bytesreferences/benchmarking.mddoc2,001 bytesreferences/chrome-devtools-cpu-profile.mddoc1,069 bytesreferences/database-query-profiling.mddoc1,873 bytesreferences/flame-graph-generation.mddoc307 bytesreferences/nodejs-profiling.mddoc1,166 bytesreferences/python-cprofile.mddoc1,090 bytesscripts/validate-api.shruns440 bytestemplates/api-scaffold.yamlasset467 bytes
Read SKILL.md
# Profiling & Optimization
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Profile code execution to identify performance bottlenecks and optimize critical paths using data-driven approaches.
View the complete source on GitHubprogressive-web-app
When your agent uses it
Build progressive web apps using service workers, web manifest, offline support, and installability. Use when creating app-like web experiences.
What it loads into context
Frontmatter
38 tokensAlways available to the agent
SKILL.md
529 tokensWhen the skill is activated
Reference documents
2,638 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
templates/component-template.tsx
Files
SKILL.mdcore2,312 bytesreferences/install-prompt-and-app-installation.mddoc2,325 bytesreferences/offline-support-with-indexeddb.mddoc1,394 bytesreferences/push-notifications.mddoc1,602 bytesreferences/service-worker-implementation.mddoc3,275 bytesreferences/web-app-manifest.mddoc1,991 bytestemplates/component-template.tsxruns318 bytes
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# Progressive Web App
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Build progressive web applications with offline support, installability, service workers, and web app manifests to deliver app-like experiences in the browser.
View the complete source on GitHubproject-estimation
When your agent uses it
Estimate project scope, timeline, and resource requirements using multiple estimation techniques including bottom-up, top-down, and analogous estimation methods for accurate project planning.
What it loads into context
Frontmatter
43 tokensAlways available to the agent
SKILL.md
741 tokensWhen the skill is activated
Reference documents
1,726 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Files
SKILL.mdcore3,455 bytesSKILL.mdcore3,455 bytesreferences/analogous-estimation.mddoc931 bytesreferences/bottom-up-estimation.mddoc2,075 bytesreferences/estimation-templates.mddoc61 bytesreferences/resource-estimation.mddoc1,531 bytesreferences/three-point-estimation-pert.mddoc1,725 bytestemplates/process-template.mddoc415 bytes
Read SKILL.md
# Project Estimation
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Accurate project estimation determines realistic timelines, budgets, and resource allocation. Effective estimation combines historical data, expert judgment, and structured techniques to minimize surprises.
View the complete source on GitHubprometheus-monitoring
When your agent uses it
Set up Prometheus monitoring for applications with custom metrics, scraping configurations, and service discovery. Use when implementing time-series metrics collection, monitoring applications, or building observability infrastructure.
What it loads into context
Frontmatter
52 tokensAlways available to the agent
SKILL.md
551 tokensWhen the skill is activated
Reference documents
1,119 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/health-check.sh
Files
SKILL.mdcore2,541 bytesreferences/alert-rules.mddoc812 bytesreferences/docker-compose-setup.mddoc597 bytesreferences/nodejs-metrics-implementation.mddoc1,256 bytesreferences/prometheus-configuration.mddoc999 bytesreferences/python-prometheus-integration.mddoc800 bytesscripts/health-check.shruns383 bytestemplates/dashboard-config.yamlasset472 bytes
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# Prometheus Monitoring
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement comprehensive Prometheus monitoring infrastructure for collecting, storing, and querying time-series metrics from applications and infrastructure.
View the complete source on GitHubproperty-based-testing
When your agent uses it
Design property-based tests that verify code properties hold for all inputs using automatic test case generation. Use for property-based, QuickCheck, hypothesis testing, generative testing, and invariant verification.
What it loads into context
Frontmatter
50 tokensAlways available to the agent
SKILL.md
670 tokensWhen the skill is activated
Reference documents
3,239 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/scaffold-tests.shtemplates/test-template.js
Files
SKILL.mdcore3,144 bytesSKILL.mdcore3,144 bytesreferences/fast-check-for-javascripttypescript.mddoc3,906 bytesreferences/hypothesis-for-python.mddoc6,224 bytesreferences/junit-quickcheck-for-java.mddoc3,120 bytesscripts/scaffold-tests.shruns574 bytestemplates/test-template.jsruns541 bytes
Read SKILL.md
# Property-Based Testing
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Property-based testing verifies that code satisfies general properties or invariants for a wide range of automatically generated inputs, rather than testing specific examples. This approach finds edge cases and bugs that example-based tests often miss.
View the complete source on GitHubpull-request-automation
When your agent uses it
Automate pull request workflows with templates, checklists, auto-merge rules, and review assignments. Reduce manual overhead and improve consistency.
What it loads into context
Frontmatter
39 tokensAlways available to the agent
SKILL.md
610 tokensWhen the skill is activated
Reference documents
1,305 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/scaffold-tests.shtemplates/test-template.js
Files
SKILL.mdcore2,876 bytesreferences/bors-merge-automation-configuration.mddoc1,029 bytesreferences/code-coverage-requirement.mddoc628 bytesreferences/github-actions-auto-merge-on-approval.mddoc1,429 bytesreferences/github-actions-auto-review-assignment.mddoc1,511 bytesreferences/gitlab-merge-request-automation.mddoc124 bytesreferences/pr-title-validation-workflow.mddoc842 bytesscripts/scaffold-tests.shruns574 bytestemplates/test-template.jsruns541 bytes
Read SKILL.md
# Pull Request Automation
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement pull request automation to streamline code review processes, enforce quality standards, and reduce manual overhead through templated workflows and intelligent assignment rules.
View the complete source on GitHubpush-notification-setup
When your agent uses it
Implement push notifications for iOS and Android. Covers Firebase Cloud Messaging, Apple Push Notification service, handling notifications, and backend integration.
What it loads into context
Frontmatter
42 tokensAlways available to the agent
SKILL.md
599 tokensWhen the skill is activated
Reference documents
1,992 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-api.sh
Files
SKILL.mdcore3,010 bytesreferences/android-setup-with-kotlin.mddoc2,988 bytesreferences/firebase-cloud-messaging-setup.mddoc2,103 bytesreferences/flutter-implementation.mddoc1,280 bytesreferences/ios-native-setup-with-swift.mddoc2,892 bytesscripts/validate-api.shruns440 bytestemplates/api-scaffold.yamlasset467 bytes
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# Push Notification Setup
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement comprehensive push notification systems for iOS and Android applications using Firebase Cloud Messaging and native platform services.
View the complete source on GitHubquery-caching-strategies
When your agent uses it
Implement query caching strategies to improve performance. Use when setting up caching layers, configuring Redis, or optimizing database query response times.
What it loads into context
Frontmatter
42 tokensAlways available to the agent
SKILL.md
570 tokensWhen the skill is activated
Reference documents
1,617 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-schema.sh
Files
SKILL.mdcore2,475 bytesreferences/event-based-invalidation.mddoc1,368 bytesreferences/memcached-caching.mddoc780 bytesreferences/mysql-query-cache.mddoc478 bytesreferences/postgresql-query-cache.mddoc1,075 bytesreferences/redis-caching-with-postgresql.mddoc1,585 bytesreferences/time-based-invalidation.mddoc964 bytesscripts/validate-schema.shruns426 bytestemplates/migration-template.sqlasset302 bytes
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# Query Caching Strategies
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement multi-level caching strategies using Redis, Memcached, and database-level caching. Covers cache invalidation, TTL strategies, and cache warming patterns.
View the complete source on GitHubrate-limiting-implementation
When your agent uses it
Implement rate limiting, throttling, API quotas, and backpressure mechanisms to protect services from abuse and ensure fair resource usage. Use when building APIs, preventing DOS attacks, or managing system load.
What it loads into context
Frontmatter
56 tokensAlways available to the agent
SKILL.md
743 tokensWhen the skill is activated
Reference documents
3,758 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-api.sh
Files
SKILL.mdcore3,454 bytesreferences/adaptive-rate-limiting.mddoc1,150 bytesreferences/express-middleware.mddoc3,171 bytesreferences/redis-based-distributed-rate-limiter.mddoc3,097 bytesreferences/sliding-window-algorithm-python.mddoc3,401 bytesreferences/tiered-rate-limiting.mddoc2,947 bytesreferences/token-bucket-algorithm-typescript.mddoc2,204 bytesscripts/validate-api.shruns440 bytestemplates/api-scaffold.yamlasset467 bytes
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# Rate Limiting Implementation
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement rate limiting and throttling mechanisms to protect your services from abuse, ensure fair resource allocation, and maintain system stability under load.
View the complete source on GitHubreact-component-architecture
When your agent uses it
Design scalable React components using functional components, hooks, composition patterns, and TypeScript. Use when building reusable component libraries and maintainable UI systems.
What it loads into context
Frontmatter
43 tokensAlways available to the agent
SKILL.md
531 tokensWhen the skill is activated
Reference documents
1,287 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
templates/component-template.tsx
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# React Component Architecture
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Build scalable, maintainable React components using modern patterns including functional components, hooks, composition, and TypeScript for type safety.
View the complete source on GitHubreact-native-app
When your agent uses it
Build cross-platform mobile apps with React Native. Covers navigation with React Navigation, state management with Redux/Context API, API integration, and platform-specific features.
What it loads into context
Frontmatter
44 tokensAlways available to the agent
SKILL.md
660 tokensWhen the skill is activated
Reference documents
1,472 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
templates/component-template.tsx
Files
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# React Native App Development
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Create robust cross-platform mobile applications using React Native with modern development patterns including navigation, state management, API integration, and native module handling.
View the complete source on GitHubreactive-programming
When your agent uses it
Implement reactive programming patterns using RxJS, streams, observables, and backpressure handling. Use when building event-driven UIs, handling async data streams, or managing complex data flows.
What it loads into context
Frontmatter
51 tokensAlways available to the agent
SKILL.md
533 tokensWhen the skill is activated
Reference documents
1,927 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
templates/component-template.tsx
Files
SKILL.mdcore2,412 bytesreferences/backpressure-handling.mddoc697 bytesreferences/combining-multiple-streams.mddoc1,092 bytesreferences/custom-operators.mddoc603 bytesreferences/rxjs-basics.mddoc1,185 bytesreferences/search-with-debounce.mddoc958 bytesreferences/state-management.mddoc1,722 bytesreferences/websocket-with-reconnection.mddoc1,450 bytestemplates/component-template.tsxruns318 bytes
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# Reactive Programming
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Build responsive applications using reactive streams and observables for handling asynchronous data flows.
View the complete source on GitHubreal-time-features
When your agent uses it
Implement real-time functionality using WebSockets, Server-Sent Events (SSE), or long polling. Use when building chat applications, live dashboards, collaborative editing, notifications, or any feature requiring instant updates.
What it loads into context
Frontmatter
56 tokensAlways available to the agent
SKILL.md
642 tokensWhen the skill is activated
Reference documents
3,536 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-api.sh
Files
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# Real-Time Features
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement real-time bidirectional communication between clients and servers for instant data synchronization and live updates.
View the complete source on GitHubRecommendation Engine
When your agent uses it
Build recommendation systems using collaborative filtering, content-based filtering, matrix factorization, and neural network approaches
What it loads into context
Frontmatter
26 tokensAlways available to the agent
SKILL.md
3,311 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use
- Recommendation Approaches
- Key Techniques
- Python Implementation
- Algorithm Comparison
- Common Challenges
- Deliverables
Scripts executed separately
scripts/scaffold-analysis.shtemplates/notebook-template.py
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# Recommendation Engine
## Overview
This skill provides comprehensive implementation of recommendation systems using collaborative filtering, content-based filtering, matrix factorization, and hybrid approaches to predict user preferences and deliver personalized suggestions.
## When to Use
- Building personalized product recommendations for e-commerce platforms
- Creating content recommendation systems for streaming services, news platforms, or social media
- Implementing user-user or item-item collaborative filtering based on interaction patterns
- Addressing cold start problems for new users or items with limited interaction history
- Evaluating recommendation quality using precision@k, recall@k, and NDCG metrics
- Scaling recommendation systems to handle millions of users and items efficientlyView the complete source on GitHubRecommendation System
When your agent uses it
Build collaborative and content-based recommendation engines for product recommendations, personalization, and improving user engagement
What it loads into context
Frontmatter
24 tokensAlways available to the agent
SKILL.md
2,761 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use
- Approaches
- Key Metrics
- Implementation with Python
- Algorithm Comparison
- Implementation Considerations
- Deliverables
Scripts executed separately
scripts/scaffold-analysis.shtemplates/notebook-template.py
Files
SKILL.mdcore10,674 bytesSKILL.mdcore10,674 bytesscripts/scaffold-analysis.shruns394 bytestemplates/notebook-template.pyruns360 bytes
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# Recommendation System
## Overview
This skill implements collaborative and content-based recommendation systems with matrix factorization techniques to predict user preferences, increase engagement, and drive conversions through personalized item suggestions.
## When to Use
- Developing recommendation features to improve user engagement and retention
- Implementing personalized product suggestions to increase sales and conversion rates
- Building hybrid recommendation systems that combine collaborative and content-based approaches
- Analyzing and optimizing recommendation coverage, diversity, and accuracy
- Handling sparse user-item interaction matrices and cold start scenarios
- Running A/B tests to measure the impact of recommendation algorithms on business metricsView the complete source on GitHubrefactor-legacy-code
When your agent uses it
Modernize and improve legacy codebases while maintaining functionality. Use when you need to refactor old code, reduce technical debt, modernize deprecated patterns, or improve code maintainability without breaking existing behavior.
What it loads into context
Frontmatter
58 tokensAlways available to the agent
SKILL.md
675 tokensWhen the skill is activated
Reference documents
2,112 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/scaffold-tests.shtemplates/test-template.js
Files
SKILL.mdcore3,045 bytesSKILL.mdcore3,045 bytesreferences/benefits-achieved.mddoc438 bytesreferences/code-assessment.mddoc686 bytesreferences/complete-refactoring-example.mddoc3,028 bytesreferences/establish-safety-net.mddoc776 bytesreferences/incremental-refactoring.mddoc2,162 bytesreferences/modernize-patterns.mddoc1,130 bytesreferences/reduce-dependencies.mddoc922 bytesscripts/scaffold-tests.shruns574 bytestemplates/test-template.jsruns541 bytes
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# Refactor Legacy Code
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
This skill helps you systematically refactor legacy code to improve maintainability, readability, and performance while preserving existing functionality. It follows industry best practices for safe refactoring with comprehensive testing.
View the complete source on GitHubRegression Modeling
When your agent uses it
Build predictive models using linear regression, polynomial regression, and regularized regression for continuous prediction, trend forecasting, and relationship quantification
What it loads into context
Frontmatter
32 tokensAlways available to the agent
SKILL.md
2,579 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
- Overview
- When to Use
- Regression Types
- Key Metrics
- Implementation with Python
- Assumption Checking
- Model Selection
- Deliverables
Scripts executed separately
scripts/scaffold-analysis.shtemplates/notebook-template.py
Files
SKILL.mdcore9,272 bytesSKILL.mdcore9,272 bytesscripts/scaffold-analysis.shruns394 bytestemplates/notebook-template.pyruns360 bytes
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# Regression Modeling
## Overview
Regression modeling predicts continuous target values based on input features, establishing quantitative relationships between variables for forecasting and analysis.
## When to Use
- Predicting sales, prices, or other continuous numerical outcomes
- Understanding relationships between independent and dependent variables
- Forecasting trends based on historical data
- Quantifying the impact of features on a target variable
- Building baseline models for comparison with more complex algorithms
- Identifying which variables most influence predictionsView the complete source on GitHubrelease-planning
When your agent uses it
Plan, coordinate, and execute software releases across environments. Manage versioning, rollout strategies, rollback procedures, and stakeholder communication for smooth deployments.
What it loads into context
Frontmatter
42 tokensAlways available to the agent
SKILL.md
545 tokensWhen the skill is activated
Reference documents
1,370 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Files
SKILL.mdcore2,641 bytesreferences/release-checklist.mddoc3,194 bytesreferences/rollout-monitoring.mddoc2,037 bytesreferences/versioning-strategy.mddoc744 bytestemplates/process-template.mddoc415 bytes
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# Release Planning
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Release planning ensures coordinated deployment of features to production with minimal risk, clear communication, and established rollback procedures.
View the complete source on GitHubrequirements-gathering
When your agent uses it
Systematically collect, document, and validate requirements from stakeholders. Ensure clarity, completeness, and agreement before development begins to reduce scope creep and rework.
What it loads into context
Frontmatter
44 tokensAlways available to the agent
SKILL.md
643 tokensWhen the skill is activated
Reference documents
2,021 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Files
SKILL.mdcore3,237 bytesSKILL.mdcore3,237 bytesreferences/requirement-validation-sign-off.mddoc1,293 bytesreferences/requirements-documentation.mddoc2,731 bytesreferences/requirements-elicitation-techniques.mddoc2,015 bytesreferences/requirements-traceability-matrix.mddoc960 bytesreferences/stakeholder-discovery.mddoc1,987 bytestemplates/process-template.mddoc415 bytes
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# Requirements Gathering
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Effective requirements gathering establishes a shared understanding of what will be built, preventing misalignment and expensive changes later in the project.
View the complete source on GitHubresponsive-web-design
When your agent uses it
Create responsive layouts using CSS Grid, Flexbox, media queries, and mobile-first design. Use when building adaptive interfaces that work across all devices.
What it loads into context
Frontmatter
43 tokensAlways available to the agent
SKILL.md
503 tokensWhen the skill is activated
Reference documents
1,786 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
templates/component-template.tsx
Files
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# Responsive Web Design
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Build mobile-first responsive interfaces using modern CSS techniques including Flexbox, Grid, and media queries to create adaptable user experiences.
View the complete source on GitHubrest-api-design
When your agent uses it
Design RESTful APIs following best practices for resource modeling, HTTP methods, status codes, versioning, and documentation. Use when creating new APIs, designing endpoints, or improving existing API architecture.
What it loads into context
Frontmatter
52 tokensAlways available to the agent
SKILL.md
589 tokensWhen the skill is activated
Reference documents
2,412 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-api.sh
Files
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# REST API Design
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Design REST APIs that are intuitive, consistent, and follow industry best practices for resource-oriented architecture.
View the complete source on GitHubretrospective-facilitation
When your agent uses it
Facilitate effective retrospectives to capture lessons learned, celebrate successes, and identify actionable improvements for future iterations.
What it loads into context
Frontmatter
35 tokensAlways available to the agent
SKILL.md
639 tokensWhen the skill is activated
Reference documents
2,289 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Files
SKILL.mdcore2,935 bytesreferences/action-item-tracking.mddoc2,453 bytesreferences/facilitation-techniques.mddoc4,714 bytesreferences/retrospective-planning.mddoc966 bytesreferences/retrospective-templates.mddoc1,899 bytestemplates/process-template.mddoc415 bytes
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# Retrospective Facilitation
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Retrospectives are critical ceremonies for team learning and continuous improvement. Effective facilitation creates psychological safety, encourages honest feedback, and drives tangible improvements.
View the complete source on GitHubrisk-assessment
When your agent uses it
Identify, analyze, and prioritize project risks using qualitative and quantitative methods. Develop mitigation strategies to minimize impact and maximize project success probability.
What it loads into context
Frontmatter
40 tokensAlways available to the agent
SKILL.md
594 tokensWhen the skill is activated
Reference documents
2,112 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Files
SKILL.mdcore3,079 bytesSKILL.mdcore3,079 bytesreferences/risk-analysis-matrix.mddoc2,431 bytesreferences/risk-identification-techniques.mddoc2,361 bytesreferences/risk-monitoring-control.mddoc2,164 bytesreferences/risk-response-planning.mddoc1,547 bytestemplates/process-template.mddoc415 bytes
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# Risk Assessment
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Risk assessment is a systematic process of identifying potential threats to project success and developing strategies to mitigate, avoid, or accept them.
View the complete source on GitHubroot-cause-analysis
When your agent uses it
Conduct systematic root cause analysis to identify underlying problems. Use structured methodologies to prevent recurring issues and drive improvements.
What it loads into context
Frontmatter
34 tokensAlways available to the agent
SKILL.md
497 tokensWhen the skill is activated
Reference documents
1,291 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-schema.sh
Files
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# Root Cause Analysis
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Root cause analysis (RCA) identifies underlying reasons for failures, enabling permanent solutions rather than temporary fixes.
View the complete source on GitHubruby-rails-application
When your agent uses it
Develop Ruby on Rails applications with models, controllers, views, Active Record ORM, authentication, and RESTful routes. Use when building Rails applications, managing database relationships, and implementing MVC architecture.
What it loads into context
Frontmatter
56 tokensAlways available to the agent
SKILL.md
540 tokensWhen the skill is activated
Reference documents
2,678 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-schema.sh
Files
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# Ruby Rails Application
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Build comprehensive Ruby on Rails applications with proper model associations, RESTful controllers, Active Record queries, authentication systems, middleware chains, and view rendering following Rails conventions.
View the complete source on GitHubrunbook-creation
When your agent uses it
Create operational runbooks, playbooks, standard operating procedures (SOPs), and incident response guides. Use when documenting operational procedures, on-call guides, or incident response processes.
What it loads into context
Frontmatter
49 tokensAlways available to the agent
SKILL.md
632 tokensWhen the skill is activated
Reference documents
1,504 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
Scripts executed separately
scripts/validate-api.sh
Files
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# Runbook Creation
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Create comprehensive operational runbooks that provide step-by-step procedures for common operational tasks, incident response, and system maintenance.
View the complete source on GitHubsecrets-management
When your agent uses it
Implement secrets management with HashiCorp Vault, AWS Secrets Manager, or Kubernetes Secrets for secure credential storage and rotation.
What it loads into context
Frontmatter
34 tokensAlways available to the agent
SKILL.md
529 tokensWhen the skill is activated
Reference documents
2,598 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-config.sh
Files
SKILL.mdcore2,287 bytesreferences/aws-secrets-manager-configuration.mddoc3,221 bytesreferences/hashicorp-vault-setup.mddoc375 bytesreferences/kubernetes-secrets.mddoc2,269 bytesreferences/vault-kubernetes-integration.mddoc3,101 bytesreferences/vault-secret-configuration.mddoc1,580 bytesscripts/validate-config.shruns427 bytestemplates/config-starter.yamlasset453 bytes
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# Secrets Management
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Deploy and configure secure secrets management systems to store, rotate, and audit access to sensitive credentials, API keys, and certificates across your infrastructure.
View the complete source on GitHubsecrets-rotation
When your agent uses it
Implement automated secrets rotation for API keys, credentials, certificates, and encryption keys. Use when managing secrets lifecycle, compliance requirements, or security hardening.
What it loads into context
Frontmatter
43 tokensAlways available to the agent
SKILL.md
522 tokensWhen the skill is activated
Reference documents
3,268 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/security-checklist.sh
Files
SKILL.mdcore2,466 bytesreferences/kubernetes-secrets-rotation.mddoc1,644 bytesreferences/nodejs-secrets-manager-with-rotation.mddoc7,913 bytesreferences/python-secrets-rotation-with-vault.mddoc5,505 bytesscripts/security-checklist.shruns734 bytes
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# Secrets Rotation
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement automated secrets rotation strategy for credentials, API keys, certificates, and encryption keys with zero-downtime deployment and comprehensive audit logging.
View the complete source on GitHubsecurity-audit-logging
When your agent uses it
Implement comprehensive security audit logging for compliance, forensics, and SIEM integration. Use when building audit trails, compliance logging, or security monitoring systems.
What it loads into context
Frontmatter
46 tokensAlways available to the agent
SKILL.md
536 tokensWhen the skill is activated
Reference documents
3,075 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/security-checklist.sh
Files
SKILL.mdcore2,399 bytesreferences/java-audit-logging.mddoc3,836 bytesreferences/nodejs-audit-logger.mddoc5,402 bytesreferences/python-audit-logging-system.mddoc4,820 bytesscripts/security-checklist.shruns734 bytes
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# Security Audit Logging
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement comprehensive audit logging for security events, user actions, and system changes with structured logging, retention policies, and SIEM integration.
View the complete source on GitHubsecurity-compliance-audit
When your agent uses it
Conduct comprehensive security compliance audits for SOC 2, GDPR, HIPAA, PCI-DSS, and ISO 27001. Use when preparing for certification, annual audits, or compliance validation.
What it loads into context
Frontmatter
52 tokensAlways available to the agent
SKILL.md
494 tokensWhen the skill is activated
Reference documents
3,727 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/security-checklist.sh
Files
SKILL.mdcore2,151 bytesSKILL.mdcore2,151 bytesreferences/automated-compliance-checker.mddoc13,816 bytesreferences/nodejs-compliance-automation.mddoc4,527 bytesscripts/security-checklist.shruns734 bytes
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# Security Compliance Audit
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Systematic evaluation of security controls, policies, and procedures to ensure compliance with industry standards and regulatory requirements.
View the complete source on GitHubsecurity-documentation
When your agent uses it
Create security policies, guidelines, compliance documentation, and security best practices. Use when documenting security policies, compliance requirements, or security guidelines.
What it loads into context
Frontmatter
41 tokensAlways available to the agent
SKILL.md
622 tokensWhen the skill is activated
Reference documents
1,330 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/security-checklist.sh
Files
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# Security Documentation
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Create comprehensive security documentation including policies, guidelines, compliance requirements, and best practices for secure application development and operations.
View the complete source on GitHubsecurity-headers-configuration
When your agent uses it
Configure HTTP security headers including CSP, HSTS, X-Frame-Options, and XSS protection. Use when hardening web applications against common attacks.
What it loads into context
Frontmatter
45 tokensAlways available to the agent
SKILL.md
601 tokensWhen the skill is activated
Reference documents
2,874 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/security-checklist.sh
Files
SKILL.mdcore2,778 bytesreferences/apache-htaccess-configuration.mddoc1,279 bytesreferences/nginx-security-headers-configuration.mddoc2,258 bytesreferences/nodejsexpress-security-headers.mddoc2,841 bytesreferences/python-flask-security-headers.mddoc2,922 bytesreferences/security-headers-testing-script.mddoc2,504 bytesscripts/security-checklist.shruns734 bytes
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# Security Headers Configuration
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement comprehensive HTTP security headers to protect web applications from XSS, clickjacking, MIME sniffing, and other browser-based attacks.
View the complete source on GitHubsecurity-testing
When your agent uses it
Identify security vulnerabilities through SAST, DAST, penetration testing, and dependency scanning. Use for security test, vulnerability scanning, OWASP, SQL injection, XSS, CSRF, and penetration testing.
What it loads into context
Frontmatter
54 tokensAlways available to the agent
SKILL.md
727 tokensWhen the skill is activated
Reference documents
2,839 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/security-checklist.sh
Files
SKILL.mdcore3,275 bytesSKILL.mdcore3,275 bytesreferences/authentication-authorization-testing.mddoc2,023 bytesreferences/csrf-protection-testing.mddoc1,337 bytesreferences/dependency-vulnerability-scanning.mddoc1,096 bytesreferences/owasp-zap-dast.mddoc2,658 bytesreferences/secrets-detection.mddoc322 bytesreferences/security-headers-testing.mddoc1,426 bytesreferences/sql-injection-testing.mddoc1,481 bytesreferences/xss-testing.mddoc1,437 bytesscripts/security-checklist.shruns734 bytes
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# Security Testing
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Security testing identifies vulnerabilities, weaknesses, and threats in applications to ensure data protection, prevent unauthorized access, and maintain system integrity. It combines automated scanning (SAST, DAST) with manual penetration testing and code review.
View the complete source on GitHubsemantic-versioning
When your agent uses it
Implement semantic versioning (SemVer) with automated release management. Use conventional commits, semantic-release, and version bumping strategies.
What it loads into context
Frontmatter
38 tokensAlways available to the agent
SKILL.md
552 tokensWhen the skill is activated
Reference documents
941 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-api.sh
Files
SKILL.mdcore2,418 bytesreferences/changelog-generation.mddoc477 bytesreferences/conventional-commits-format.mddoc1,068 bytesreferences/semantic-release-configuration.mddoc426 bytesreferences/semantic-versioning-configuration.mddoc601 bytesreferences/version-bumping-script.mddoc984 bytesscripts/validate-api.shruns440 bytestemplates/api-scaffold.yamlasset467 bytes
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# Semantic Versioning
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Establish semantic versioning practices to maintain consistent version numbering aligned with release significance, enabling automated version management and release notes generation.
View the complete source on GitHubSentiment Analysis
When your agent uses it
Classify text sentiment using NLP techniques, lexicon-based analysis, and machine learning for opinion mining, brand monitoring, and customer feedback analysis
What it loads into context
Frontmatter
35 tokensAlways available to the agent
SKILL.md
3,051 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
- Overview
- Approaches
- Sentiment Types
- Implementation with Python
- Methods Comparison
- Applications
- Deliverables
Scripts executed separately
scripts/scaffold-analysis.shtemplates/notebook-template.py
Files
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# Sentiment Analysis
## Overview
Sentiment analysis determines emotional tone and opinions in text, enabling understanding of customer satisfaction, brand perception, and feedback analysis.
## Approaches
- **Lexicon-based**: Using sentiment dictionaries
- **Machine Learning**: Training classifiers on labeled data
- **Deep Learning**: Neural networks for complex patterns
- **Aspect-based**: Sentiment about specific features
- **Multilingual**: Non-English text analysis
View the complete source on GitHubserver-side-rendering
When your agent uses it
Implement server-side rendering with template engines, view layers, and dynamic content generation. Use when building server-rendered applications, implementing MVC architectures, and generating HTML on the server.
What it loads into context
Frontmatter
49 tokensAlways available to the agent
SKILL.md
694 tokensWhen the skill is activated
Reference documents
3,931 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-schema.sh
Files
SKILL.mdcore3,241 bytesSKILL.mdcore3,241 bytesreferences/caching-and-performance.mddoc1,029 bytesreferences/django-template-examples.mddoc1,228 bytesreferences/django-templates.mddoc1,749 bytesreferences/ejs-template-examples.mddoc1,743 bytesreferences/flask-with-jinja2-templates.mddoc3,148 bytesreferences/jinja2-template-examples.mddoc4,717 bytesreferences/nodejsexpress-with-ejs-templates.mddoc1,567 bytesscripts/validate-schema.shruns426 bytestemplates/migration-template.sqlasset302 bytes
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# Server-Side Rendering
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Build server-side rendered applications using modern template engines, view layers, and data-driven HTML generation with caching, streaming, and performance optimization across Python, Node.js, and Ruby frameworks.
View the complete source on GitHubserverless-architecture
When your agent uses it
Design and implement serverless applications using AWS Lambda, Azure Functions, and GCP Cloud Functions with event-driven patterns and orchestration.
What it loads into context
Frontmatter
41 tokensAlways available to the agent
SKILL.md
606 tokensWhen the skill is activated
Reference documents
2,335 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-config.sh
Files
SKILL.mdcore2,714 bytesreferences/event-driven-lambda-handler-pattern.mddoc2,647 bytesreferences/monitoring-and-observability.mddoc1,298 bytesreferences/orchestration-with-step-functions.mddoc2,402 bytesreferences/serverless-application-architecture.mddoc3,446 bytesscripts/validate-config.shruns427 bytestemplates/config-starter.yamlasset453 bytes
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# Serverless Architecture
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Serverless architecture enables building complete applications without managing servers. Design event-driven, scalable systems using managed compute services, databases, and messaging systems. Pay only for actual usage with automatic scaling.
View the complete source on GitHubservice-mesh-implementation
When your agent uses it
Implement service mesh (Istio, Linkerd) for service-to-service communication, traffic management, security, and observability.
What it loads into context
Frontmatter
38 tokensAlways available to the agent
SKILL.md
583 tokensWhen the skill is activated
Reference documents
1,892 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/security-checklist.sh
Files
SKILL.mdcore2,685 bytesreferences/istio-core-setup.mddoc1,638 bytesreferences/observability-configuration.mddoc1,522 bytesreferences/security-policies.mddoc1,124 bytesreferences/service-mesh-deployment-script.mddoc1,101 bytesreferences/virtual-service-and-destination-rule.mddoc1,954 bytesscripts/security-checklist.shruns734 bytes
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# Service Mesh Implementation
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Deploy and configure a service mesh to manage microservice communication, enable advanced traffic management, implement security policies, and provide comprehensive observability across distributed systems.
View the complete source on GitHubsession-management
When your agent uses it
Implement secure session management systems with JWT tokens, session storage, token refresh, logout handling, and CSRF protection. Use when managing user authentication state, handling token lifecycle, and securing sessions.
What it loads into context
Frontmatter
50 tokensAlways available to the agent
SKILL.md
726 tokensWhen the skill is activated
Reference documents
3,059 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/security-checklist.sh
Files
SKILL.mdcore3,481 bytesSKILL.mdcore3,481 bytesreferences/csrf-protection.mddoc1,052 bytesreferences/jwt-token-generation-and-validation.mddoc2,486 bytesreferences/nodejsexpress-jwt-implementation.mddoc3,033 bytesreferences/session-cleanup-and-maintenance.mddoc1,483 bytesreferences/session-middleware-chain.mddoc1,875 bytesreferences/session-storage-with-redis.mddoc2,880 bytesreferences/token-refresh-endpoint.mddoc890 bytesscripts/security-checklist.shruns734 bytes
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# Session Management
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement comprehensive session management systems with secure token handling, session persistence, token refresh mechanisms, proper logout procedures, and CSRF protection across different backend frameworks.
View the complete source on GitHubspring-boot-application
When your agent uses it
Build enterprise Spring Boot applications with annotations, dependency injection, data persistence, REST controllers, and security. Use when developing Spring applications, managing beans, implementing services, and configuring Spring Boot projects.
What it loads into context
Frontmatter
56 tokensAlways available to the agent
SKILL.md
781 tokensWhen the skill is activated
Reference documents
3,007 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/security-checklist.sh
Files
SKILL.mdcore3,743 bytesreferences/application-configuration.mddoc560 bytesreferences/entity-models-with-jpa-annotations.mddoc2,705 bytesreferences/repository-layer-with-spring-data-jpa.mddoc1,278 bytesreferences/rest-controllers-with-requestresponse-handling.mddoc2,463 bytesreferences/service-layer-with-business-logic.mddoc3,112 bytesreferences/spring-boot-project-setup.mddoc1,494 bytesreferences/spring-security-configuration.mddoc3,407 bytesscripts/security-checklist.shruns734 bytes
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# Spring Boot Application
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Develop production-ready Spring Boot applications with proper annotation-based configuration, dependency injection, REST controllers, JPA data persistence, service layers, and security implementation following Spring conventions.
View the complete source on GitHubsql-injection-prevention
When your agent uses it
Prevent SQL injection attacks using prepared statements, parameterized queries, and input validation. Use when building database-driven applications securely.
What it loads into context
Frontmatter
40 tokensAlways available to the agent
SKILL.md
552 tokensWhen the skill is activated
Reference documents
2,861 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-schema.sh
Files
SKILL.mdcore2,486 bytesreferences/input-validation-sanitization.mddoc958 bytesreferences/java-jdbc-with-prepared-statements.mddoc4,869 bytesreferences/nodejs-with-postgresql.mddoc3,660 bytesreferences/python-with-sqlalchemy-orm.mddoc3,166 bytesscripts/validate-schema.shruns426 bytestemplates/migration-template.sqlasset302 bytes
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# SQL Injection Prevention
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement comprehensive SQL injection prevention using prepared statements, parameterized queries, ORM best practices, and input validation.
View the complete source on GitHubsql-query-optimization
When your agent uses it
Analyze and optimize SQL queries for performance. Use when improving slow queries, reducing execution time, or analyzing query performance in PostgreSQL and MySQL.
What it loads into context
Frontmatter
44 tokensAlways available to the agent
SKILL.md
454 tokensWhen the skill is activated
Reference documents
929 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-schema.sh
Files
SKILL.mdcore2,054 bytesreferences/analyze-current-performance.mddoc871 bytesreferences/batch-operations.mddoc712 bytesreferences/common-optimization-patterns.mddoc909 bytesreferences/query-rewriting-techniques.mddoc1,088 bytesscripts/validate-schema.shruns426 bytestemplates/migration-template.sqlasset302 bytes
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# SQL Query Optimization
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Analyze SQL queries to identify performance bottlenecks and implement optimization techniques. Includes query analysis, indexing strategies, and rewriting patterns for improved performance.
View the complete source on GitHubssl-certificate-management
When your agent uses it
Manage SSL/TLS certificates with automated provisioning, renewal, and monitoring using Let's Encrypt, ACM, or Vault.
What it loads into context
Frontmatter
35 tokensAlways available to the agent
SKILL.md
607 tokensWhen the skill is activated
Reference documents
2,115 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-config.sh
Files
SKILL.mdcore2,699 bytesreferences/automated-certificate-renewal.mddoc2,083 bytesreferences/aws-acm-certificate-management.mddoc1,554 bytesreferences/certificate-monitoring-and-renewal.mddoc2,229 bytesreferences/certificate-pinning.mddoc595 bytesreferences/lets-encrypt-with-cert-manager.mddoc1,911 bytesscripts/validate-config.shruns427 bytestemplates/config-starter.yamlasset453 bytes
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# SSL Certificate Management
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement automated SSL/TLS certificate management across infrastructure, including provisioning, renewal, monitoring, and secure distribution to services.
View the complete source on GitHubstakeholder-communication
When your agent uses it
Manage stakeholder expectations and engagement through targeted communication, regular updates, and relationship building. Tailor messaging for different stakeholder groups and priorities.
What it loads into context
Frontmatter
39 tokensAlways available to the agent
SKILL.md
623 tokensWhen the skill is activated
Reference documents
1,996 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Files
SKILL.mdcore3,197 bytesSKILL.mdcore3,197 bytesreferences/communication-planning.mddoc1,801 bytesreferences/difficult-conversations.mddoc67 bytesreferences/stakeholder-analysis.mddoc3,417 bytesreferences/status-communication-templates.mddoc3,536 bytestemplates/process-template.mddoc415 bytes
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# Stakeholder Communication
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Effective stakeholder communication ensures alignment, manages expectations, builds trust, and keeps projects on track by addressing concerns proactively.
View the complete source on GitHubstatic-code-analysis
When your agent uses it
Implement static code analysis with linters, formatters, and security scanners to catch bugs early. Use when enforcing code standards, detecting security vulnerabilities, or automating code review.
What it loads into context
Frontmatter
49 tokensAlways available to the agent
SKILL.md
643 tokensWhen the skill is activated
Reference documents
2,632 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/security-checklist.sh
Files
SKILL.mdcore2,660 bytesreferences/custom-ast-analysis.mddoc2,887 bytesreferences/eslint-configuration.mddoc943 bytesreferences/pre-commit-hooks.mddoc974 bytesreferences/python-linting-pylint-mypy.mddoc654 bytesreferences/security-scanning.mddoc3,509 bytesreferences/sonarqube-integration.mddoc1,054 bytesscripts/security-checklist.shruns734 bytes
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# Static Code Analysis
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Use automated tools to analyze code without executing it, catching bugs, security issues, and style violations early.
View the complete source on GitHubStatistical Hypothesis Testing
When your agent uses it
Conduct statistical tests including t-tests, chi-square, ANOVA, and p-value analysis for statistical significance, hypothesis validation, and A/B testing
What it loads into context
Frontmatter
37 tokensAlways available to the agent
SKILL.md
2,350 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- Testing Framework
- Common Tests
- Implementation with Python
- Interpretation Guidelines
- Assumptions Checklist
- Common Pitfalls
- Deliverables
Scripts executed separately
scripts/scaffold-analysis.shtemplates/notebook-template.py
Files
SKILL.mdcore7,650 bytesSKILL.mdcore7,650 bytesscripts/scaffold-analysis.shruns394 bytestemplates/notebook-template.pyruns360 bytes
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# Statistical Hypothesis Testing
## Overview
Hypothesis testing provides a framework for making data-driven decisions by testing whether observed differences are statistically significant or due to chance.
## Testing Framework
- **Null Hypothesis (H0)**: No effect or difference exists
- **Alternative Hypothesis (H1)**: Effect or difference exists
- **Significance Level (α)**: Threshold for rejecting H0 (typically 0.05)
- **P-value**: Probability of observing data if H0 is true
## Common TestsView the complete source on GitHubstored-procedures
When your agent uses it
Implement stored procedures and functions for database logic. Use when creating reusable database routines, complex queries, or server-side calculations.
What it loads into context
Frontmatter
39 tokensAlways available to the agent
SKILL.md
531 tokensWhen the skill is activated
Reference documents
1,996 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-schema.sh
Files
SKILL.mdcore2,340 bytesreferences/complex-procedures-with-error-handling.mddoc1,232 bytesreferences/mysql-triggers.mddoc789 bytesreferences/postgresql-triggers.mddoc1,691 bytesreferences/simple-functions.mddoc1,064 bytesreferences/simple-procedures.mddoc919 bytesreferences/stored-procedures.mddoc2,057 bytesscripts/validate-schema.shruns426 bytestemplates/migration-template.sqlasset302 bytes
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# Stored Procedures & Functions
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement stored procedures, functions, and triggers for business logic, data validation, and performance optimization. Covers procedure design, error handling, and performance considerations.
View the complete source on GitHubstress-testing
When your agent uses it
Test system behavior under extreme load conditions to identify breaking points, capacity limits, and failure modes. Use for stress test, capacity testing, breaking point analysis, spike test, and system limits validation.
What it loads into context
Frontmatter
52 tokensAlways available to the agent
SKILL.md
774 tokensWhen the skill is activated
Reference documents
3,622 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/scaffold-tests.shtemplates/test-template.js
Files
SKILL.mdcore3,266 bytesreferences/auto-scaling-validation.mddoc1,406 bytesreferences/breaking-point-analysis.mddoc2,999 bytesreferences/jmeter-stress-test.mddoc1,695 bytesreferences/k6-stress-testing.mddoc2,572 bytesreferences/soakendurance-testing.mddoc5,473 bytesreferences/spike-testing.mddoc901 bytesscripts/scaffold-tests.shruns574 bytestemplates/test-template.jsruns541 bytes
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# Stress Testing
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Stress testing pushes systems beyond normal operating capacity to identify breaking points, failure modes, and recovery behavior. It validates system stability under extreme conditions and helps determine maximum capacity before degradation or failure.
View the complete source on GitHubSurvival Analysis
When your agent uses it
Analyze time-to-event data, calculate survival probabilities, and compare groups using Kaplan-Meier and Cox proportional hazards models
What it loads into context
Frontmatter
29 tokensAlways available to the agent
SKILL.md
2,548 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- Key Concepts
- Common Models
- Implementation with Python
- Censoring Types
- Model Comparison
- Applications
- Deliverables
Scripts executed separately
scripts/scaffold-analysis.shtemplates/notebook-template.py
Files
SKILL.mdcore8,884 bytesSKILL.mdcore8,884 bytesscripts/scaffold-analysis.shruns394 bytestemplates/notebook-template.pyruns360 bytes
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# Survival Analysis
## Overview
Survival analysis studies time until an event occurs, handling censored data where events haven't happened for some subjects, enabling prediction of lifetimes and risk assessment.
## Key Concepts
- **Survival Time**: Time until event
- **Censoring**: Event not observed (subject dropped out)
- **Hazard**: Instantaneous risk at time t
- **Survival Curve**: Probability of surviving past time t
- **Hazard Ratio**: Relative risk between groups
View the complete source on GitHubsynthetic-monitoring
When your agent uses it
Implement synthetic monitoring and automated testing to simulate user behavior and detect issues before users. Use when creating end-to-end test scenarios, monitoring API flows, or validating user workflows.
What it loads into context
Frontmatter
47 tokensAlways available to the agent
SKILL.md
570 tokensWhen the skill is activated
Reference documents
2,543 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/scaffold-tests.shtemplates/test-template.js
Files
SKILL.mdcore2,638 bytesreferences/api-synthetic-tests.mddoc3,863 bytesreferences/scheduled-synthetic-monitoring.mddoc2,841 bytesreferences/synthetic-tests-with-playwright.mddoc4,457 bytesscripts/scaffold-tests.shruns574 bytestemplates/test-template.jsruns541 bytes
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# Synthetic Monitoring
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Set up synthetic monitoring to automatically simulate real user journeys, API workflows, and critical business transactions to detect issues and validate performance.
View the complete source on GitHubtechnical-debt-assessment
When your agent uses it
Assess, quantify, and prioritize technical debt using code analysis, metrics, and impact analysis. Use when planning refactoring, evaluating codebases, or making architectural decisions.
What it loads into context
Frontmatter
48 tokensAlways available to the agent
SKILL.md
485 tokensWhen the skill is activated
Reference documents
2,306 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Files
SKILL.mdcore2,063 bytesreferences/code-quality-scanner.mddoc5,291 bytesreferences/technical-debt-calculator.mddoc3,394 bytestemplates/process-template.mddoc415 bytes
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# Technical Debt Assessment
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Systematically identify, measure, and manage technical debt to make informed decisions about code quality investments.
View the complete source on GitHubtechnical-roadmap-planning
When your agent uses it
Create comprehensive technical roadmaps aligned with business goals. Plan technology investments, architecture evolution, and infrastructure improvements over quarters and years.
What it loads into context
Frontmatter
41 tokensAlways available to the agent
SKILL.md
586 tokensWhen the skill is activated
Reference documents
1,359 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-config.sh
Files
SKILL.mdcore2,912 bytesreferences/dependency-mapping.mddoc2,535 bytesreferences/execution-planning.mddoc1,234 bytesreferences/technology-evaluation.mddoc2,190 bytesscripts/validate-config.shruns427 bytestemplates/config-starter.yamlasset453 bytes
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# Technical Roadmap Planning
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
A technical roadmap provides a strategic plan for technology evolution, guiding architectural decisions, infrastructure investments, and capability development aligned with business objectives.
View the complete source on GitHubtechnical-specification
When your agent uses it
Create detailed technical specifications, requirements documents, design documents, and system architecture specs. Use when writing technical specs, requirements docs, or design documents.
What it loads into context
Frontmatter
42 tokensAlways available to the agent
SKILL.md
641 tokensWhen the skill is activated
Reference documents
1,691 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Files
SKILL.mdcore2,955 bytesreferences/api-data-models.mddoc544 bytesreferences/authentication-endpoints.mddoc1,133 bytesreferences/database-schema.mddoc1,321 bytesreferences/functional-requirements.mddoc1,084 bytesreferences/non-functional-requirements.mddoc925 bytesreferences/phase-1-core-authentication.mddoc926 bytesreferences/rate-limiting.mddoc340 bytestemplates/doc-template.mddoc374 bytes
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# Technical Specification
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Create comprehensive technical specifications that define system requirements, architecture, implementation details, and acceptance criteria for software projects.
View the complete source on GitHubterraform-infrastructure
When your agent uses it
Infrastructure as Code using Terraform with modular components, state management, and multi-cloud deployments. Use for provisioning and managing cloud resources.
What it loads into context
Frontmatter
39 tokensAlways available to the agent
SKILL.md
538 tokensWhen the skill is activated
Reference documents
1,986 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-config.sh
Files
SKILL.mdcore2,452 bytesSKILL.mdcore2,452 bytesreferences/aws-infrastructure-module.mddoc4,319 bytesreferences/terraform-deployment-script.mddoc1,347 bytesreferences/variables-and-outputs.mddoc1,578 bytesscripts/validate-config.shruns427 bytestemplates/config-starter.yamlasset453 bytes
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# Terraform Infrastructure
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Build scalable infrastructure as code with Terraform, managing AWS, Azure, GCP, and on-premise resources through declarative configuration, remote state, and automated provisioning.
View the complete source on GitHubtest-automation-framework
When your agent uses it
Design and implement scalable test automation frameworks with Page Object Model, fixtures, and reporting. Use for test framework, page object pattern, test architecture, test organization, and automation infrastructure.
What it loads into context
Frontmatter
50 tokensAlways available to the agent
SKILL.md
681 tokensWhen the skill is activated
Reference documents
2,964 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/scaffold-tests.shtemplates/test-template.js
Files
SKILL.mdcore3,190 bytesreferences/configuration-management.mddoc1,441 bytesreferences/custom-reporter.mddoc1,127 bytesreferences/custom-test-utilities.mddoc1,657 bytesreferences/page-object-model-playwrighttypescript.mddoc3,893 bytesreferences/pytest-framework-python.mddoc1,602 bytesreferences/test-fixtures-and-factories.mddoc1,457 bytesreferences/test-organization.mddoc1,024 bytesscripts/scaffold-tests.shruns574 bytestemplates/test-template.jsruns541 bytes
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# Test Automation Framework
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
A test automation framework provides structure, reusability, and maintainability for automated tests. It defines patterns for organizing tests, managing test data, handling dependencies, and generating reports. A well-designed framework reduces duplication, improves reliability, and accelerates test development.
View the complete source on GitHubtest-data-generation
When your agent uses it
Generate realistic, consistent test data using factories, fixtures, and fake data libraries. Use for test data, fixtures, mock data, faker, test builders, and seed data generation.
What it loads into context
Frontmatter
49 tokensAlways available to the agent
SKILL.md
665 tokensWhen the skill is activated
Reference documents
3,186 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/scaffold-tests.shtemplates/test-template.js
Files
SKILL.mdcore3,144 bytesreferences/builder-pattern-for-complex-objects.mddoc2,404 bytesreferences/factory-pattern-for-test-data.mddoc5,611 bytesreferences/fixtures-for-integration-tests.mddoc3,769 bytesreferences/realistic-data-generation.mddoc1,948 bytesscripts/scaffold-tests.shruns574 bytestemplates/test-template.jsruns541 bytes
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# Test Data Generation
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Test data generation creates realistic, consistent, and maintainable test data for automated testing. Well-designed test data reduces test brittleness, improves readability, and makes it easier to create diverse test scenarios.
View the complete source on GitHubthird-party-integration
When your agent uses it
Integrate external APIs and services with error handling, retry logic, and data transformation. Use when connecting to payment processors, messaging services, analytics platforms, or other third-party providers.
What it loads into context
Frontmatter
51 tokensAlways available to the agent
SKILL.md
679 tokensWhen the skill is activated
Reference documents
2,610 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-api.sh
Files
SKILL.mdcore3,155 bytesreferences/data-transformation.mddoc838 bytesreferences/email-service-integration-sendgrid.mddoc1,961 bytesreferences/payment-processor-integration-stripe.mddoc2,794 bytesreferences/python-third-party-integration.mddoc3,169 bytesreferences/third-party-client-wrapper.mddoc2,868 bytesscripts/validate-api.shruns440 bytestemplates/api-scaffold.yamlasset467 bytes
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# Third-Party Integration
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Build robust integrations with external services using standardized patterns for API calls, error handling, authentication, and data transformation.
View the complete source on GitHubTime Series Analysis
When your agent uses it
Analyze temporal data patterns including trends, seasonality, autocorrelation, and forecasting for time series decomposition, trend analysis, and forecasting models
What it loads into context
Frontmatter
34 tokensAlways available to the agent
SKILL.md
2,307 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
- Overview
- When to Use
- Core Components
- Key Techniques
- Implementation with Python
- Stationarity
- Model Selection
- Evaluation Metrics
- Deliverables
Scripts executed separately
scripts/scaffold-analysis.shtemplates/notebook-template.py
Files
SKILL.mdcore8,447 bytesSKILL.mdcore8,447 bytesscripts/scaffold-analysis.shruns394 bytestemplates/notebook-template.pyruns360 bytes
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# Time Series Analysis
## Overview
Time series analysis examines data points collected over time to identify patterns, trends, and seasonality for forecasting and understanding temporal dynamics.
## When to Use
- Forecasting future values based on historical trends
- Detecting seasonality and cyclical patterns in data
- Analyzing trends over time in sales, stock prices, or website traffic
- Understanding autocorrelation and temporal dependencies
- Making time-based predictions with confidence intervals
- Decomposing data into trend, seasonal, and residual componentsView the complete source on GitHubtransaction-management
When your agent uses it
Manage database transactions for data consistency. Use when implementing ACID compliance, handling concurrency, or managing transaction isolation levels.
What it loads into context
Frontmatter
34 tokensAlways available to the agent
SKILL.md
465 tokensWhen the skill is activated
Reference documents
1,852 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-schema.sh
Files
SKILL.mdcore2,179 bytesreferences/deadlock-prevention.mddoc2,075 bytesreferences/mysql-isolation-levels.mddoc912 bytesreferences/mysql-locking.mddoc806 bytesreferences/mysql-transactions.mddoc658 bytesreferences/postgresql-explicit-locking.mddoc970 bytesreferences/postgresql-isolation-levels.mddoc1,381 bytesreferences/postgresql-transactions.mddoc620 bytesscripts/validate-schema.shruns426 bytestemplates/migration-template.sqlasset302 bytes
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# Transaction Management
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement robust transaction management with ACID compliance, concurrency control, and error handling. Covers isolation levels, locking strategies, and deadlock resolution.
View the complete source on GitHubtroubleshooting-guide
When your agent uses it
Create comprehensive troubleshooting guides, FAQ documents, known issues lists, and debug guides. Use when documenting common problems, error messages, or debugging procedures.
What it loads into context
Frontmatter
41 tokensAlways available to the agent
SKILL.md
554 tokensWhen the skill is activated
Reference documents
2,530 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
Scripts executed separately
scripts/validate-api.sh
Files
SKILL.mdcore2,443 bytesSKILL.mdcore2,443 bytesreferences/issue-authentication-failed.mddoc1,635 bytesreferences/issue-connection-timeout.mddoc1,923 bytesreferences/issue-invalid-json-response.mddoc1,922 bytesreferences/issue-rate-limit-exceeded.mddoc2,099 bytesreferences/issue-slow-performance.mddoc2,219 bytesscripts/validate-api.shruns440 bytestemplates/api-scaffold.yamlasset467 bytes
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# Troubleshooting Guide
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Create structured troubleshooting documentation that helps users and support teams quickly diagnose and resolve common issues.
View the complete source on GitHubunit-testing-framework
When your agent uses it
Write comprehensive unit tests with high coverage using testing frameworks like Jest, pytest, JUnit, or RSpec. Use when writing tests for functions, classes, components, or establishing testing standards.
What it loads into context
Frontmatter
51 tokensAlways available to the agent
SKILL.md
716 tokensWhen the skill is activated
Reference documents
2,645 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/scaffold-tests.shtemplates/test-template.js
Files
SKILL.mdcore3,181 bytesreferences/example-complete-test-suite.mddoc3,002 bytesreferences/mocking-test-doubles.mddoc1,261 bytesreferences/test-cases-by-language.mddoc4,519 bytesreferences/test-structure-aaa-pattern.mddoc871 bytesreferences/testing-async-code.mddoc829 bytesreferences/testing-edge-cases.mddoc767 bytesscripts/scaffold-tests.shruns574 bytestemplates/test-template.jsruns541 bytes
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# Unit Testing Framework
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Write effective unit tests that are fast, isolated, readable, and maintainable following industry best practices and AAA (Arrange-Act-Assert) pattern.
View the complete source on GitHubuptime-monitoring
When your agent uses it
Implement uptime monitoring and status page systems for tracking service availability. Use when monitoring application uptime, creating status pages, or implementing health checks.
What it loads into context
Frontmatter
40 tokensAlways available to the agent
SKILL.md
548 tokensWhen the skill is activated
Reference documents
1,845 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/health-check.sh
Files
SKILL.mdcore2,444 bytesreferences/health-check-endpoints.mddoc1,583 bytesreferences/kubernetes-health-probes.mddoc813 bytesreferences/public-status-page-api.mddoc1,730 bytesreferences/python-health-checks.mddoc1,217 bytesreferences/uptime-monitor-with-heartbeat.mddoc2,135 bytesscripts/health-check.shruns383 bytestemplates/dashboard-config.yamlasset472 bytes
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# Uptime Monitoring
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Set up comprehensive uptime monitoring with health checks, status pages, and incident tracking to ensure visibility into service availability.
View the complete source on GitHubuser-guide-creation
When your agent uses it
Create comprehensive user guides, tutorials, how-to documentation, and step-by-step instructions with screenshots and examples. Use when writing user documentation, tutorials, or getting started guides.
What it loads into context
Frontmatter
49 tokensAlways available to the agent
SKILL.md
666 tokensWhen the skill is activated
Reference documents
1,355 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
Files
SKILL.mdcore2,912 bytesreferences/initial-setup.mddoc880 bytesreferences/installation.mddoc1,272 bytesreferences/system-requirements.mddoc579 bytesreferences/task-1-creating-your-first-project.mddoc893 bytesreferences/task-2-importing-existing-data.mddoc1,180 bytesreferences/task-3-exporting-data.mddoc518 bytestemplates/doc-template.mddoc374 bytes
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# User Guide Creation
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Create clear, user-friendly documentation that helps users understand and effectively use your product, with step-by-step instructions, screenshots, and practical examples.
View the complete source on GitHubuser-persona-creation
When your agent uses it
Create detailed user personas based on research and data. Develop realistic representations of target users to guide product decisions and ensure user-centered design.
What it loads into context
Frontmatter
42 tokensAlways available to the agent
SKILL.md
606 tokensWhen the skill is activated
Reference documents
1,025 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
templates/component-template.tsx
Files
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# User Persona Creation
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
User personas synthesize research into realistic user profiles that guide design, development, and marketing decisions.
View the complete source on GitHubuser-research-analysis
When your agent uses it
Analyze user research data to uncover insights, identify patterns, and inform design decisions. Synthesize qualitative and quantitative research into actionable recommendations.
What it loads into context
Frontmatter
41 tokensAlways available to the agent
SKILL.md
616 tokensWhen the skill is activated
Reference documents
1,252 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-api.sh
Files
SKILL.mdcore3,100 bytesSKILL.mdcore3,100 bytesreferences/affinity-mapping.mddoc1,137 bytesreferences/insight-documentation.mddoc1,923 bytesreferences/research-synthesis-methods.mddoc2,087 bytesreferences/research-validation-matrix.mddoc685 bytesscripts/validate-api.shruns440 bytestemplates/api-scaffold.yamlasset467 bytes
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# User Research Analysis
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Effective research analysis transforms raw data into actionable insights that guide product development and design.
View the complete source on GitHubuser-story-writing
When your agent uses it
Write effective user stories that capture requirements from the user's perspective. Create clear stories with detailed acceptance criteria to guide development and define done.
What it loads into context
Frontmatter
40 tokensAlways available to the agent
SKILL.md
553 tokensWhen the skill is activated
Reference documents
1,703 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/scaffold-tests.shtemplates/test-template.js
Files
SKILL.mdcore2,626 bytesreferences/acceptance-criteria-examples.mddoc1,616 bytesreferences/story-estimation.mddoc1,076 bytesreferences/story-refinement-process.mddoc3,340 bytesreferences/story-splitting.mddoc1,793 bytesscripts/scaffold-tests.shruns574 bytestemplates/test-template.jsruns541 bytes
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# User Story Writing
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Well-written user stories communicate requirements in a user-focused way, facilitate discussion, and provide clear acceptance criteria for developers and testers.
View the complete source on GitHubvisual-regression-testing
When your agent uses it
Detect unintended visual changes in UI by comparing screenshots across versions. Use for visual regression, screenshot diff, Percy, Chromatic, UI testing, and visual validation.
What it loads into context
Frontmatter
47 tokensAlways available to the agent
SKILL.md
720 tokensWhen the skill is activated
Reference documents
2,581 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
templates/component-template.tsx
Files
SKILL.mdcore3,364 bytesreferences/backstopjs-configuration.mddoc1,489 bytesreferences/chromatic-for-storybook.mddoc1,624 bytesreferences/cypress-visual-testing.mddoc1,845 bytesreferences/handling-dynamic-content.mddoc800 bytesreferences/percy-visual-testing.mddoc1,464 bytesreferences/playwright-visual-testing.mddoc2,386 bytesreferences/testing-responsive-components.mddoc632 bytestemplates/component-template.tsxruns318 bytes
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# Visual Regression Testing
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Visual regression testing captures screenshots of UI components and pages, then compares them across versions to detect unintended visual changes. This automated approach catches CSS bugs, layout issues, and design regressions that traditional functional tests miss.
View the complete source on GitHubvue-application-structure
When your agent uses it
Structure Vue 3 applications using Composition API, component organization, and TypeScript. Use when building scalable Vue applications with proper separation of concerns.
What it loads into context
Frontmatter
43 tokensAlways available to the agent
SKILL.md
523 tokensWhen the skill is activated
Reference documents
1,613 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
templates/component-template.tsx
Files
SKILL.mdcore2,369 bytesreferences/async-data-fetching-composable.mddoc1,589 bytesreferences/component-organization-structure.mddoc755 bytesreferences/form-handling-composable.mddoc1,840 bytesreferences/pinia-store-state-management.mddoc1,014 bytesreferences/vue-3-composition-api-component.mddoc1,000 bytestemplates/component-template.tsxruns318 bytes
Read SKILL.md
# Vue Application Structure
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Build well-organized Vue 3 applications using Composition API, proper file organization, and TypeScript for type safety and maintainability.
View the complete source on GitHubvulnerability-scanning
When your agent uses it
Automated vulnerability detection using OWASP tools, CVE databases, and security scanners. Use when performing security audits, compliance checks, or continuous security monitoring.
What it loads into context
Frontmatter
44 tokensAlways available to the agent
SKILL.md
519 tokensWhen the skill is activated
Reference documents
2,598 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-config.sh
Files
SKILL.mdcore2,433 bytesreferences/cicd-integration-github-actions.mddoc1,539 bytesreferences/nodejs-vulnerability-scanner.mddoc4,867 bytesreferences/python-owasp-scanner.mddoc5,395 bytesscripts/validate-config.shruns427 bytestemplates/config-starter.yamlasset453 bytes
Read SKILL.md
# Vulnerability Scanning
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Systematically identify security vulnerabilities in applications, dependencies, and infrastructure using automated scanning tools and manual security assessments.
View the complete source on GitHubweb-performance-audit
When your agent uses it
Conduct comprehensive web performance audits. Measure page speed, identify bottlenecks, and recommend optimizations to improve user experience and SEO.
What it loads into context
Frontmatter
39 tokensAlways available to the agent
SKILL.md
555 tokensWhen the skill is activated
Reference documents
1,435 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/health-check.sh
Files
SKILL.mdcore2,506 bytesreferences/monitoring-continuous-improvement.mddoc1,604 bytesreferences/optimization-strategies.mddoc1,313 bytesreferences/performance-analysis-process.mddoc2,204 bytesreferences/performance-metrics.mddoc1,056 bytesscripts/health-check.shruns383 bytestemplates/dashboard-config.yamlasset472 bytes
Read SKILL.md
# Web Performance Audit
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Web performance audits measure load times, identify bottlenecks, and guide optimization efforts to create faster, better user experiences.
View the complete source on GitHubweb-performance-optimization
When your agent uses it
Optimize web application performance using code splitting, lazy loading, caching, compression, and monitoring. Use when improving Core Web Vitals and user experience.
What it loads into context
Frontmatter
43 tokensAlways available to the agent
SKILL.md
519 tokensWhen the skill is activated
Reference documents
1,959 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
templates/component-template.tsx
Files
SKILL.mdcore2,385 bytesreferences/code-splitting-and-lazy-loading-react.mddoc1,492 bytesreferences/gzip-compression-and-asset-optimization.mddoc1,030 bytesreferences/http-caching-and-service-workers.mddoc1,399 bytesreferences/image-optimization.mddoc1,369 bytesreferences/performance-monitoring.mddoc2,772 bytestemplates/component-template.tsxruns318 bytes
Read SKILL.md
# Web Performance Optimization
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement performance optimization strategies including lazy loading, code splitting, caching, compression, and monitoring to improve Core Web Vitals and user experience.
View the complete source on GitHubwebhook-development
When your agent uses it
Implement webhook systems for event-driven integration with retry logic, signature verification, and delivery guarantees. Use when creating event notification systems, integrating with external services, or building event-driven architectures.
What it loads into context
Frontmatter
50 tokensAlways available to the agent
SKILL.md
516 tokensWhen the skill is activated
Reference documents
2,660 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-schema.sh
Files
SKILL.mdcore2,157 bytesreferences/best-practices.mddoc951 bytesreferences/nodejs-webhook-service.mddoc5,760 bytesreferences/python-webhook-handler.mddoc3,782 bytesreferences/webhook-event-schema.mddoc475 bytesscripts/validate-schema.shruns426 bytestemplates/migration-template.sqlasset302 bytes
Read SKILL.md
# Webhook Development
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Build reliable webhook systems with event delivery, signature verification, retry logic, and dead-letter handling for asynchronous integrations.
View the complete source on GitHubwebhook-integration
When your agent uses it
Implement secure webhook systems for event-driven integrations, including signature verification, retry logic, and delivery guarantees. Use when building third-party integrations, event notifications, or real-time data synchronization.
What it loads into context
Frontmatter
52 tokensAlways available to the agent
SKILL.md
580 tokensWhen the skill is activated
Reference documents
3,241 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-pipeline.sh
Files
SKILL.mdcore2,710 bytesreferences/webhook-queue-with-bull.mddoc3,288 bytesreferences/webhook-receiver-express.mddoc4,178 bytesreferences/webhook-sender-typescript.mddoc4,114 bytesreferences/webhook-testing-utilities.mddoc2,496 bytesscripts/validate-pipeline.shruns502 bytestemplates/pipeline.yamlasset665 bytes
Read SKILL.md
# Webhook Integration
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement robust webhook systems for event-driven architectures, enabling real-time communication between services and third-party integrations.
View the complete source on GitHubwebsocket-implementation
When your agent uses it
Implement real-time bidirectional communication with WebSockets including connection management, message routing, and scaling. Use when building real-time features, chat systems, live notifications, or collaborative applications.
What it loads into context
Frontmatter
52 tokensAlways available to the agent
SKILL.md
653 tokensWhen the skill is activated
Reference documents
2,829 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-api.sh
Files
SKILL.mdcore3,080 bytesreferences/browser-websocket-client.mddoc2,833 bytesreferences/message-types-and-protocols.mddoc580 bytesreferences/nodejs-websocket-server-socketio.mddoc4,211 bytesreferences/python-websocket-server-aiohttp.mddoc4,045 bytesreferences/scaling-with-redis.mddoc666 bytesscripts/validate-api.shruns440 bytestemplates/api-scaffold.yamlasset467 bytes
Read SKILL.md
# WebSocket Implementation
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Build scalable WebSocket systems for real-time communication with proper connection management, message routing, error handling, and horizontal scaling support.
View the complete source on GitHubwireframe-prototyping
When your agent uses it
Create wireframes and interactive prototypes to visualize user interfaces and gather feedback early. Use tools and techniques to communicate design ideas before development.
What it loads into context
Frontmatter
43 tokensAlways available to the agent
SKILL.md
596 tokensWhen the skill is activated
Reference documents
827 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
templates/component-template.tsx
Files
SKILL.mdcore2,561 bytesreferences/prototype-testing.mddoc714 bytesreferences/prototyping-tools-techniques.mddoc2,577 bytesreferences/wireframe-examples.mddoc434 bytestemplates/component-template.tsxruns318 bytes
Read SKILL.md
# Wireframe Prototyping
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Wireframes and prototypes bridge the gap between ideas and implementation, enabling teams to test concepts, get feedback, and refine designs before costly development.
View the complete source on GitHubxss-prevention
When your agent uses it
Prevent Cross-Site Scripting (XSS) attacks through input sanitization, output encoding, and Content Security Policy. Use when handling user-generated content in web applications.
What it loads into context
Frontmatter
49 tokensAlways available to the agent
SKILL.md
537 tokensWhen the skill is activated
Reference documents
2,664 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
templates/component-template.tsx
Files
SKILL.mdcore2,254 bytesreferences/content-security-policy.mddoc1,241 bytesreferences/nodejs-xss-prevention.mddoc3,716 bytesreferences/python-xss-prevention.mddoc3,978 bytesreferences/react-xss-prevention.mddoc1,927 bytestemplates/component-template.tsxruns318 bytes
Read SKILL.md
# XSS Prevention
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement comprehensive Cross-Site Scripting (XSS) prevention using input sanitization, output encoding, CSP headers, and secure coding practices.
View the complete source on GitHubzero-trust-architecture
When your agent uses it
Implement Zero Trust security model with identity verification, microsegmentation, least privilege access, and continuous monitoring. Use when building secure cloud-native applications.
What it loads into context
Frontmatter
44 tokensAlways available to the agent
SKILL.md
519 tokensWhen the skill is activated
Reference documents
3,398 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Scripts executed separately
scripts/validate-pipeline.sh
Files
SKILL.mdcore2,439 bytesreferences/python-zero-trust-policy-engine.mddoc4,236 bytesreferences/service-mesh-microsegmentation.mddoc2,201 bytesreferences/zero-trust-gateway.mddoc8,756 bytesscripts/validate-pipeline.shruns502 bytestemplates/pipeline.yamlasset665 bytes
Read SKILL.md
# Zero Trust Architecture
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Implement comprehensive Zero Trust security architecture based on "never trust, always verify" principle with identity-centric security, microsegmentation, and continuous verification.
View the complete source on GitHubSkills included
- A/B Test Analysis
- access-control-rbac
- accessibility-compliance
- accessibility-testing
- agile-sprint-planning
- alert-management
- android-kotlin-development
- angular-module-design
- Anomaly Detection
- ansible-automation
- api-authentication
- api-changelog-versioning
- api-contract-testing
- api-error-handling
- api-filtering-sorting
- api-gateway-configuration
- api-pagination
- api-rate-limiting
- api-reference-documentation
- api-response-optimization
- api-security-hardening
- api-versioning-strategy
- app-store-deployment
- application-logging
- architecture-diagrams
- artifact-management
- autoscaling-configuration
- aws-cloudfront-cdn
- aws-ec2-setup
- aws-lambda-functions
- aws-rds-database
- aws-s3-management
- azure-app-service
- azure-functions
- background-job-processing
- backup-disaster-recovery
- batch-processing-jobs
- blue-green-deployment
- browser-debugging
- bundle-size-optimization
- business-case-development
- caching-strategy
- canary-deployment
- capacity-planning
- Causal Inference
- changelog-maintenance
- cicd-pipeline-setup
- circuit-breaker-pattern
- Classification Modeling
- cloud-cost-management
- cloud-migration-planning
- cloud-security-configuration
- cloud-storage-optimization
- Clustering Analysis
- code-documentation
- code-generation-template
- code-metrics-analysis
- code-review-analysis
- Cohort Analysis
- color-accessibility
- competitor-analysis
- Computer Vision
- concurrency-patterns
- configuration-management
- container-debugging
- container-registry-management
- continuous-testing
- Correlation Analysis
- correlation-tracing
- cpu-profiling
- cross-platform-compatibility
- csrf-protection
- css-architecture
- Data Cleaning Pipeline
- data-encryption
- data-migration-scripts
- data-replication-setup
- Data Visualization
- database-backup-restore
- database-indexing-strategy
- database-migration-management
- database-monitoring
- database-performance-debugging
- database-query-optimization
- database-schema-design
- database-schema-documentation
- database-sharding
- dependency-management
- dependency-tracking
- deployment-automation
- deployment-documentation
- design-handoff
- design-patterns-implementation
- design-system-creation
- developer-onboarding
- Dimensionality Reduction
- disaster-recovery-testing
- distributed-tracing
- django-application
- dns-management
- docker-containerization
- documentation-site-setup
- e2e-testing-automation
- email-service-integration
- error-tracking
- event-sourcing
- Exploratory Data Analysis
- fastapi-development
- Feature Engineering
- feature-flag-system
- file-upload-handling
- flask-api-development
- flutter-development
- form-validation
- frontend-accessibility
- frontend-routing
- frontend-state-management
- frontend-testing
- Funnel Analysis
- gap-analysis
- gcp-cloud-functions
- gcp-cloud-run
- git-hooks-setup
- git-workflow-strategy
- github-actions-workflow
- gitlab-cicd-pipeline
- graceful-shutdown
- grafana-dashboard
- graphql-implementation
- grpc-service-development
- health-check-endpoints
- idempotency-handling
- image-optimization
- incident-response-plan
- information-architecture
- infrastructure-cost-optimization
- infrastructure-monitoring
- integration-testing
- interaction-design
- intermittent-issue-debugging
- internationalization-i18n
- ios-swift-development
- jenkins-pipeline
- kpi-dashboard-design
- kubernetes-deployment
- load-balancer-setup
- log-aggregation
- log-analysis
- logging-best-practices
- markdown-documentation
- memory-leak-detection
- memory-optimization
- microservices-architecture
- ML Model Explanation
- ML Model Training
- ML Pipeline Automation
- mobile-app-debugging
- mobile-app-testing
- mobile-first-design
- mobile-offline-support
- mocking-stubbing
- Model Deployment
- Model Hyperparameter Tuning
- Model Monitoring
- monorepo-management
- multi-cloud-strategy
- mutation-testing
- Natural Language Processing
- Network Analysis
- network-debugging
- network-security-groups
- Neural Network Design
- nginx-configuration
- nodejs-express-server
- nosql-database-design
- oauth-implementation
- payment-gateway-integration
- penetration-testing
- performance-regression-debugging
- performance-testing
- polyglot-integration
- process-mapping
- profiling-optimization
- progressive-web-app
- project-estimation
- prometheus-monitoring
- property-based-testing
- pull-request-automation
- push-notification-setup
- query-caching-strategies
- rate-limiting-implementation
- react-component-architecture
- react-native-app
- reactive-programming
- real-time-features
- Recommendation Engine
- Recommendation System
- refactor-legacy-code
- Regression Modeling
- release-planning
- requirements-gathering
- responsive-web-design
- rest-api-design
- retrospective-facilitation
- risk-assessment
- root-cause-analysis
- ruby-rails-application
- runbook-creation
- secrets-management
- secrets-rotation
- security-audit-logging
- security-compliance-audit
- security-documentation
- security-headers-configuration
- security-testing
- semantic-versioning
- Sentiment Analysis
- server-side-rendering
- serverless-architecture
- service-mesh-implementation
- session-management
- spring-boot-application
- sql-injection-prevention
- sql-query-optimization
- ssl-certificate-management
- stakeholder-communication
- static-code-analysis
- Statistical Hypothesis Testing
- stored-procedures
- stress-testing
- Survival Analysis
- synthetic-monitoring
- technical-debt-assessment
- technical-roadmap-planning
- technical-specification
- terraform-infrastructure
- test-automation-framework
- test-data-generation
- third-party-integration
- Time Series Analysis
- transaction-management
- troubleshooting-guide
- unit-testing-framework
- uptime-monitoring
- user-guide-creation
- user-persona-creation
- user-research-analysis
- user-story-writing
- visual-regression-testing
- vue-application-structure
- vulnerability-scanning
- web-performance-audit
- web-performance-optimization
- webhook-development
- webhook-integration
- websocket-implementation
- wireframe-prototyping
- xss-prevention
- zero-trust-architecture
Repository facts
- License
- MIT
- Created
- Jun 8, 2025
- Last pushed
- Mar 4, 2026
- Forks
- 57
- Open issues
- 1
- Project activity
- Slowing
Before you install
Network or broad shellAutomated signals, not a guarantee
Checked Nov 5, 2026
Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.
Show 123 notes
skills/ab-test-analysis/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/anomaly-detection/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/app-store-deployment/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/artifact-management/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/artifact-management/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/aws-cloudfront-cdn/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/aws-ec2-setup/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/aws-lambda-functions/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/aws-rds-database/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/aws-s3-management/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/azure-app-service/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/azure-functions/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/azure-functions/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/azure-functions/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/background-job-processing/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/backup-disaster-recovery/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/blue-green-deployment/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/capacity-planning/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/causal-inference/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/changelog-maintenance/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzed
- No broad tool permissions
- 18 dangerous shell commandsin 12 files: continuous-testing/references/github-actions-ci-pipeline.md:212 data-replication-setup/references/master-slave-primary-standby-setup.md:30 user-guide-creation/references/installation.md:40 and 9 more
- 1,099 network referencesin 230 files: changelog-maintenance/SKILL.md:30 api-changelog-versioning/references/step-1-update-base-url.md:6 penetration-testing/references/automated-penetration-testing-framework.md:42 and 227 more
- 6 obfuscation signalsin 1 file: data-encryption/references/python-cryptography-implementation.md:64
- No instruction overrides
- 299 executable scriptsin 299 files: ab-test-analysis/scripts/scaffold-analysis.sh:1 ab-test-analysis/templates/notebook-template.py:1 access-control-rbac/scripts/security-checklist.sh:1 and 296 more
- 186 references to secretsin 98 files: configuration-management/references/environment-variables.md:14 dns-management/references/cloudflare-dns-configuration.md:12 oauth-implementation/references/nodejs-oauth-20-server.md:21 and 95 more
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skills/ab-test-analysis/scripts/scaffold-analysis.sh
- Executable scriptline 1
#!/bin/bash
skills/ab-test-analysis/templates/notebook-template.py
- Executable scriptline 1
Executable file
skills/access-control-rbac/scripts/security-checklist.sh
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#!/bin/bash
skills/accessibility-compliance/templates/component-template.tsx
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skills/accessibility-testing/references/python-with-selenium-and-axe.md
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def test_homepage_accessibility(self, driver): """Test homepage for WCAG violations.""" driver.get('http://localhost:3000') - Network accessline 23
driver.get('http://localhost:3000') - Network accessline 35
def test_form_accessibility(self, driver): """Test form accessibility.""" driver.get('http://localhost:3000/contact') - Network accessline 37
driver.get('http://localhost:3000/contact') - Network accessline 59
driver.get('http://localhost:3000')
skills/accessibility-testing/scripts/scaffold-tests.sh
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#!/bin/bash
skills/accessibility-testing/templates/test-template.js
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skills/alert-management/SKILL.md
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constructor(apiToken) { this.apiToken = apiToken; this.baseUrl = "https://api.pagerduty.com"; - Network accessline 41
this.apiToken = apiToken; this.baseUrl = "https://api.pagerduty.com"; this.eventUrl = "https://events.pagerduty.com/v2/enqueue"; - Network accessline 42
this.baseUrl = "https://api.pagerduty.com"; - Network accessline 43
this.eventUrl = "https://events.pagerduty.com/v2/enqueue";
skills/alert-management/references/alert-handler-middleware.md
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skills/alert-management/references/alertmanager-configuration.md
skills/alert-management/references/docker-compose-alert-stack.md
skills/alert-management/references/pagerduty-client-integration.md
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constructor(apiToken) { this.apiToken = apiToken; this.baseUrl = "https://api.pagerduty.com"; - Network accessline 11
this.apiToken = apiToken; this.baseUrl = "https://api.pagerduty.com"; this.eventUrl = "https://events.pagerduty.com/v2/enqueue"; - Network accessline 12
this.baseUrl = "https://api.pagerduty.com"; - Network accessline 13
this.eventUrl = "https://events.pagerduty.com/v2/enqueue"; - Access to secretsline 50
[Credential-related source omitted]
skills/alert-management/scripts/validate-api.sh
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#!/bin/bash
skills/android-kotlin-development/references/models-api-service.md
skills/android-kotlin-development/scripts/validate-api.sh
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#!/bin/bash
skills/angular-module-design/references/dependency-injection-and-providers.md
skills/angular-module-design/templates/component-template.tsx
- Executable scriptline 1
Executable file
skills/anomaly-detection/scripts/scaffold-analysis.sh
- Executable scriptline 1
#!/bin/bash
skills/anomaly-detection/templates/notebook-template.py
- Executable scriptline 1
Executable file
skills/ansible-automation/SKILL.md
skills/ansible-automation/references/configuration-template.md
- Access to secretsline 32
[Credential-related source omitted]
skills/ansible-automation/references/inventory-and-variables.md
- Access to secretsline 18
[Credential-related source omitted] - Network accessline 22
--- app_version: "1.2.3" app_repo_url: "https://github.com/myorg/myapp.git" - Network accessline 23
app_version: "1.2.3" app_repo_url: "https://github.com/myorg/myapp.git" environment: production - Network accessline 24
app_repo_url: "https://github.com/myorg/myapp.git"
skills/ansible-automation/references/playbook-structure-and-best-practices.md
- Network accessline 25
- name: Verify deployment uri: url: "http://{{ inventory_hostname }}:8080/health" - Network accessline 26
uri: url: "http://{{ inventory_hostname }}:8080/health" status_code: 200 - Network accessline 27
url: "http://{{ inventory_hostname }}:8080/health" - Network accessline 46
packages: - curl - git - Network accessline 47
- curl - git - htop - Network accessline 83
- ca-certificates - curl - gnupg - Network accessline 84
- curl - gnupg - lsb-release - Network accessline 88
- name: Add Docker GPG key apt_key: url: https://download.docker.com/linux/ubuntu/gpg - Network accessline 89
apt_key: url: https://download.docker.com/linux/ubuntu/gpg state: present - Network accessline 90
url: https://download.docker.com/linux/ubuntu/gpg - Network accessline 93
- name: Add Docker repository apt_repository: repo: "deb https://download.docker.com/linux/ubuntu {{ ansible_distribution_release }} stable" - Network accessline 94
apt_repository: repo: "deb https://download.docker.com/linux/ubuntu {{ ansible_distribution_release }} stable" state: present - Network accessline 95
repo: "deb https://download.docker.com/linux/ubuntu {{ ansible_distribution_release }} stable" - Access to secretsline 132
[Credential-related source omitted] - Network accessline 160
LOG_LEVEL: "{{ log_level }}" healthcheck: test: ["CMD", "curl", "-f", "http://localhost:8080/health"] - Network accessline 161
healthcheck: test: ["CMD", "curl", "-f", "http://localhost:8080/health"] interval: 30s - Network accessline 162
test: ["CMD", "curl", "-f", "http://localhost:8080/health"]
skills/ansible-automation/scripts/validate-config.sh
- Executable scriptline 1
#!/bin/bash
skills/api-authentication/SKILL.md
skills/api-authentication/references/jwt-authentication.md
skills/api-authentication/references/oauth-20-implementation.md
- Access to secretsline 13
[Credential-related source omitted]
skills/api-authentication/references/python-authentication-implementation.md
skills/api-authentication/scripts/security-checklist.sh
- Executable scriptline 1
#!/bin/bash
skills/api-changelog-versioning/references/new-features.md
skills/api-changelog-versioning/references/security.md
skills/api-changelog-versioning/references/step-1-update-base-url.md
- Network accessline 6
// Before const API_BASE = "https://api.example.com/api"; - Network accessline 7
const API_BASE = "https://api.example.com/api"; - Network accessline 9
// After const API_BASE = "https://api.example.com/api/v3"; - Network accessline 10
const API_BASE = "https://api.example.com/api/v3"; - Network accessline 17
// Before (v2) - API Token const response = await fetch(`${API_BASE}/users`, { - Network accessline 18
const response = await fetch(`${API_BASE}/users`, { - Network accessline 24
// After (v3) - JWT Bearer const tokenResponse = await fetch(`${API_BASE}/auth/login`, { - Network accessline 25
const tokenResponse = await fetch(`${API_BASE}/auth/login`, { - Network accessline 32
const response = await fetch(`${API_BASE}/users`, { - Network accessline 62
// Before (v2) try { const response = await fetch(`${API_BASE}/users`); - Network accessline 63
try { const response = await fetch(`${API_BASE}/users`); if (!response.ok) { - Network accessline 64
const response = await fetch(`${API_BASE}/users`); - Network accessline 73
// After (v3) - Handle multiple errors try { const response = await fetch(`${API_BASE}/users`); - Network accessline 74
try { const response = await fetch(`${API_BASE}/users`); if (!response.ok) { - Network accessline 75
const response = await fetch(`${API_BASE}/users`); - Network accessline 92
// Before (v2) const response = await fetch(`${API_BASE}/users?page=1&per_page=20`); - Network accessline 93
const response = await fetch(`${API_BASE}/users?page=1&per_page=20`); - Network accessline 95
// After (v3) const response = await fetch(`${API_BASE}/users?page[number]=1&page[size]=20`); - Network accessline 96
const response = await fetch(`${API_BASE}/users?page[number]=1&page[size]=20`); - Network accessline 126
const USE_V3 = process.env.USE_API_V3 === 'true'; const API_BASE = USE_V3 ? 'https://api.example.com/api/v3' - Network accessline 127
const API_BASE = USE_V3 ? 'https://api.example.com/api/v3' : 'https://api.example.com/api/v2'; - Network accessline 128
? 'https://api.example.com/api/v3' - Network accessline 129
: 'https://api.example.com/api/v2';
skills/api-changelog-versioning/scripts/validate-api.sh
- Executable scriptline 1
#!/bin/bash
skills/api-contract-testing/SKILL.md
skills/api-contract-testing/references/pact-for-consumer-driven-contracts.md
- Network accessline 21
describe("User Service Contract", () => { const userService = new UserService("http://localhost:1234"); - Network accessline 22
const userService = new UserService("http://localhost:1234"); - Network accessline 193
return new Verifier({ provider: "UserService", providerBaseUrl: "http://localhost:3001", - Network accessline 194
provider: "UserService", providerBaseUrl: "http://localhost:3001", pactUrls: [ - Network accessline 195
providerBaseUrl: "http://localhost:3001",
skills/api-contract-testing/scripts/scaffold-tests.sh
- Executable scriptline 1
#!/bin/bash
skills/api-contract-testing/templates/test-template.js
- Executable scriptline 1
Executable file
skills/api-error-handling/references/validation-examples.md
skills/api-filtering-sorting/scripts/validate-schema.sh
- Executable scriptline 1
#!/bin/bash
skills/api-gateway-configuration/SKILL.md
- Network accessline 41
services: - name: user-service url: http://user-service:3000 - Network accessline 42
- name: user-service url: http://user-service:3000 routes: - Network accessline 43
url: http://user-service:3000 - Network accessline 59
config: origins: - "http://localhost:3000" - Network accessline 60
origins: - "http://localhost:3000" // ... (see reference guides for full implementation) - Network accessline 61
- "http://localhost:3000"
skills/api-gateway-configuration/references/aws-api-gateway-configuration.md
- Network accessline 39
Environment: Variables: USER_SERVICE_URL: !Sub "https://${UserServiceAlb}.elb.amazonaws.com" - Network accessline 40
Variables: USER_SERVICE_URL: !Sub "https://${UserServiceAlb}.elb.amazonaws.com" Events: - Network accessline 41
USER_SERVICE_URL: !Sub "https://${UserServiceAlb}.elb.amazonaws.com"
skills/api-gateway-configuration/references/kong-configuration.md
- Network accessline 10
services: - name: user-service url: http://user-service:3000 - Network accessline 11
- name: user-service url: http://user-service:3000 routes: - Network accessline 12
url: http://user-service:3000 - Network accessline 28
config: origins: - "http://localhost:3000" - Network accessline 29
origins: - "http://localhost:3000" - "https://example.com" - Network accessline 30
- "http://localhost:3000" - Network accessline 31
- "https://example.com" - Network accessline 41
- name: product-service url: http://product-service:3001 - Network accessline 42
url: http://product-service:3001 - Network accessline 57
- name: order-service url: http://order-service:3002 - Network accessline 58
url: http://order-service:3002
skills/api-gateway-configuration/references/nginx-configuration.md
skills/api-gateway-configuration/references/nodejs-gateway-implementation.md
- Access to secretsline 25
[Credential-related source omitted] - Network accessline 42
"/api/users", verifyJwt, httpProxy("http://user-service:3000", { - Network accessline 43
verifyJwt, httpProxy("http://user-service:3000", { proxyReqPathResolver: (req) => `/api/users${req.url}`, - Network accessline 44
httpProxy("http://user-service:3000", { - Network accessline 54
app.use( "/api/products", httpProxy("http://product-service:3001", { - Network accessline 55
"/api/products", httpProxy("http://product-service:3001", { proxyReqPathResolver: (req) => `/api/products${req.url}`, - Network accessline 56
httpProxy("http://product-service:3001", {
skills/api-gateway-configuration/references/traefik-configuration.md
- Network accessline 58
loadBalancer: servers: - url: "http://user-service:3000" - Network accessline 59
servers: - url: "http://user-service:3000" healthCheck: - Network accessline 60
- url: "http://user-service:3000" - Network accessline 68
loadBalancer: servers: - url: "http://product-service:3001" - Network accessline 70
- url: "http://product-service:3001"
skills/api-gateway-configuration/scripts/validate-api.sh
- Executable scriptline 1
#!/bin/bash
skills/api-pagination/scripts/validate-api.sh
- Executable scriptline 1
#!/bin/bash
skills/api-rate-limiting/references/sliding-window-algorithm.md
- Network accessline 17
// Remove old requests outside window this.requests = this.requests.filter((time) => time > windowStart); - Network accessline 18
this.requests = this.requests.filter((time) => time > windowStart); - Network accessline 20
if (this.requests.length < this.maxRequests) { this.requests.push(now); - Network accessline 21
this.requests.push(now); - Network accessline 28
const now = Date.now(); const windowStart = now - this.windowSize; this.requests = this.requests.filter((time) => time > windowStart); - Network accessline 29
const windowStart = now - this.windowSize; this.requests = this.requests.filter((time) => time > windowStart); return Math.max(0, this.maxRequests - this.requests.length); - Network accessline 30
this.requests = this.requests.filter((time) => time > windowStart);
skills/api-rate-limiting/scripts/validate-api.sh
- Executable scriptline 1
#!/bin/bash
skills/api-reference-documentation/SKILL.md
- Access to secretsline 48
[Credential-related source omitted] - Network accessline 58
name: API Support email: api@example.com url: https://example.com/support - Network accessline 59
email: api@example.com url: https://example.com/support license: - Network accessline 60
url: https://example.com/support - Network accessline 61
license: name: MIT url: https://opensource.org/licenses/MIT - Network accessline 62
name: MIT url: https://opensource.org/licenses/MIT // ... (see reference guides for full implementation) - Network accessline 63
url: https://opensource.org/licenses/MIT
skills/api-reference-documentation/references/list-products.md
skills/api-reference-documentation/references/openapi-specification-example.md
- Access to secretsline 13
[Credential-related source omitted] - Network accessline 23
name: API Support email: api@example.com url: https://example.com/support - Network accessline 24
email: api@example.com url: https://example.com/support license: - Network accessline 25
url: https://example.com/support - Network accessline 26
license: name: MIT url: https://opensource.org/licenses/MIT - Network accessline 28
url: https://opensource.org/licenses/MIT - Network accessline 30
servers: - url: https://api.example.com/v2 - Network accessline 31
- url: https://api.example.com/v2 - Network accessline 32
description: Production server - url: https://staging-api.example.com/v2 description: Staging server - Network accessline 33
- url: https://staging-api.example.com/v2 - Network accessline 34
description: Staging server - url: http://localhost:3000/v2 description: Local development - Network accessline 35
- url: http://localhost:3000/v2 - Network accessline 105
format: uri example: - "https://cdn.example.com/products/wh-1000xm5-1.jpg" - Network accessline 106
example: - "https://cdn.example.com/products/wh-1000xm5-1.jpg" - "https://cdn.example.com/products/wh-1000xm5-2.jpg" - Network accessline 107
- "https://cdn.example.com/products/wh-1000xm5-1.jpg" - Network accessline 108
- "https://cdn.example.com/products/wh-1000xm5-2.jpg"
skills/api-reference-documentation/scripts/validate-api.sh
- Executable scriptline 1
#!/bin/bash
skills/api-response-optimization/scripts/validate-api.sh
- Executable scriptline 1
#!/bin/bash
skills/api-security-hardening/references/api-gateway-security-configuration.md
- Network accessline 50
# CORS headers add_header Access-Control-Allow-Origin "https://app.example.com" always; - Network accessline 51
add_header Access-Control-Allow-Origin "https://app.example.com" always; - Network accessline 60
# Proxy to backend proxy_pass http://backend:3000; - Network accessline 61
proxy_pass http://backend:3000; - Network accessline 77
proxy_pass http://backend:3000;
skills/api-security-hardening/references/nodejsexpress-api-security.md
skills/api-security-hardening/references/python-fastapi-security.md
- Network accessline 31
CORSMiddleware, allow_origins=[ "https://example.com", - Network accessline 32
allow_origins=[ "https://example.com", "https://app.example.com" - Network accessline 33
"https://example.com", - Network accessline 34
"https://app.example.com" - Access to secretsline 134
[Credential-related source omitted] - Access to secretsline 136
[Credential-related source omitted] - Access to secretsline 167
[Credential-related source omitted] - Access to secretsline 174
[Credential-related source omitted] - Access to secretsline 179
[Credential-related source omitted]
skills/api-security-hardening/scripts/security-checklist.sh
- Executable scriptline 1
#!/bin/bash
skills/api-versioning-strategy/references/deprecation-strategy.md
- Network accessline 39
sunsetDate: '2024-12-31', message: 'This API version is deprecated. Please migrate to v2.', migrationGuide: 'https://docs.example.com/migration-v1-to-v2' - Network accessline 40
message: 'This API version is deprecated. Please migrate to v2.', migrationGuide: 'https://docs.example.com/migration-v1-to-v2' }, - Network accessline 41
migrationGuide: 'https://docs.example.com/migration-v1-to-v2'
skills/api-versioning-strategy/references/javascripttypescript.md
- Network accessline 7
class ApiClientV1 { async getUsers() { const response = await fetch("/api/v1/users"); - Network accessline 8
async getUsers() { const response = await fetch("/api/v1/users"); const data = await response.json(); - Network accessline 9
const response = await fetch("/api/v1/users"); - Network accessline 16
class ApiClientV2 { async getUsers() { const response = await fetch("/api/v2/users"); - Network accessline 17
async getUsers() { const response = await fetch("/api/v2/users"); const data = await response.json(); - Network accessline 18
const response = await fetch("/api/v2/users"); - Network accessline 29
# v1 response = requests.get(f"{base_url}/api/v1/users") - Network accessline 30
response = requests.get(f"{base_url}/api/v1/users") - Network accessline 33
# v2 response = requests.get(f"{base_url}/api/v2/users") - Network accessline 34
response = requests.get(f"{base_url}/api/v2/users")
skills/api-versioning-strategy/scripts/validate-api.sh
- Executable scriptline 1
#!/bin/bash
skills/app-store-deployment/SKILL.md
- Access to secretsline 36
[Credential-related source omitted]
skills/app-store-deployment/references/ios-deployment-setup.md
- Access to secretsline 7
[Credential-related source omitted]
skills/app-store-deployment/scripts/validate-pipeline.sh
- Executable scriptline 1
#!/bin/bash
skills/application-logging/references/elk-stack-setup.md
skills/application-logging/scripts/validate-api.sh
- Executable scriptline 1
#!/bin/bash
skills/architecture-diagrams/scripts/validate-schema.sh
- Executable scriptline 1
#!/bin/bash
skills/artifact-management/references/npm-package-publishing.md
- Network accessline 12
"files": ["dist", "README.md", "LICENSE"], "publishConfig": { "registry": "https://npm.pkg.github.com", - Network accessline 13
"publishConfig": { "registry": "https://npm.pkg.github.com", "access": "public" - Network accessline 14
"registry": "https://npm.pkg.github.com", - Network accessline 17
"repository": { "type": "git", "url": "https://github.com/myorg/awesome-library.git" - Network accessline 18
"type": "git", "url": "https://github.com/myorg/awesome-library.git" }, - Network accessline 19
"url": "https://github.com/myorg/awesome-library.git" - Network accessline 79
stage: publish script: - npm config set @myorg:registry https://gitlab.example.com/api/v4/packages/npm/ - Network accessline 80
script: - npm config set @myorg:registry https://gitlab.example.com/api/v4/packages/npm/ - npm config set '//gitlab.example.com/api/v4/packages/npm/:_authToken' "${CI_JOB_TOKEN}" - Network accessline 81
- npm config set @myorg:registry https://gitlab.example.com/api/v4/packages/npm/ - Access to secretsline 82
[Credential-related source omitted]
skills/artifact-management/scripts/validate-pipeline.sh
- Executable scriptline 1
#!/bin/bash
skills/autoscaling-configuration/scripts/validate-config.sh
- Executable scriptline 1
#!/bin/bash
skills/aws-cloudfront-cdn/scripts/validate-config.sh
- Executable scriptline 1
#!/bin/bash
skills/aws-ec2-setup/references/terraform-ec2-configuration.md
- Access to secretsline 122
[Credential-related source omitted]
skills/aws-ec2-setup/references/user-data-script.md
- Network accessline 16
# Install dependencies apt-get install -y \ curl \ - Network accessline 17
apt-get install -y curl - Network accessline 18
curl \ - Network accessline 19
wget \ - Network accessline 26
mkdir -p /opt/app cd /opt/app git clone https://github.com/myorg/myapp.git . - Network accessline 27
cd /opt/app git clone https://github.com/myorg/myapp.git . npm install --production - Network accessline 28
git clone https://github.com/myorg/myapp.git . - Network accessline 56
# Install and configure CloudWatch agent wget https://s3.amazonaws.com/amazoncloudwatch-agent/ubuntu/amd64/latest/amazon-cloudwatch-agent.deb - Network accessline 57
wget https://s3.amazonaws.com/amazoncloudwatch-agent/ubuntu/amd64/latest/amazon-cloudwatch-agent.deb
skills/aws-ec2-setup/scripts/validate-config.sh
- Executable scriptline 1
#!/bin/bash
skills/aws-lambda-functions/references/lambda-with-sam-serverless-application-model.md
skills/aws-lambda-functions/scripts/validate-api.sh
- Executable scriptline 1
#!/bin/bash
skills/aws-rds-database/scripts/validate-schema.sh
- Executable scriptline 1
#!/bin/bash
skills/aws-s3-management/references/terraform-s3-configuration.md
- Network accessline 97
allowed_headers = ["*"] allowed_methods = ["GET", "PUT", "POST"] allowed_origins = ["https://example.com"] - Network accessline 98
allowed_methods = ["GET", "PUT", "POST"] allowed_origins = ["https://example.com"] expose_headers = ["ETag"] - Network accessline 99
allowed_origins = ["https://example.com"]
skills/aws-s3-management/scripts/validate-api.sh
- Executable scriptline 1
#!/bin/bash
skills/azure-app-service/references/terraform-app-service-configuration.md
- Network accessline 95
cors { allowed_origins = ["https://example.com"] - Network accessline 96
allowed_origins = ["https://example.com"] - Access to secretsline 243
[Credential-related source omitted] - Network accessline 251
output "app_url" { value = "https://${azurerm_linux_web_app.main.default_hostname}" - Network accessline 252
value = "https://${azurerm_linux_web_app.main.default_hostname}"
skills/azure-app-service/scripts/validate-schema.sh
- Executable scriptline 1
#!/bin/bash
skills/azure-functions/SKILL.md
skills/azure-functions/references/azure-function-creation-with-azure-cli.md
skills/azure-functions/references/azure-functions-with-terraform.md
- Network accessline 105
cors { allowed_origins = ["https://example.com"] - Network accessline 106
allowed_origins = ["https://example.com"] - Network accessline 180
output "function_app_url" { value = "https://${azurerm_linux_function_app.main.default_hostname}" - Network accessline 181
value = "https://${azurerm_linux_function_app.main.default_hostname}"
skills/azure-functions/scripts/validate-config.sh
- Executable scriptline 1
#!/bin/bash
skills/background-job-processing/scripts/health-check.sh
- Executable scriptline 1
#!/bin/bash
skills/backup-disaster-recovery/references/backup-and-restore-script.md
- Dangerous shell operationline 131
find "$BACKUP_BUCKET/$environment" -type f -mtime "+$BACKUP_RETENTION_DAYS" -delete
skills/backup-disaster-recovery/references/database-backup-configuration.md
- Dangerous shell operationline 44
find "$BACKUP_DIR" -type f -mtime +7 -delete
skills/backup-disaster-recovery/references/disaster-recovery-plan-template.md
- Network accessline 47
1. Restore from backup: `restore-backup.sh --backup-id=latest` 2. Update DNS: `aws route53 change-resource-record-sets --cli-input-json file://failover.json` 3. Verify: `curl https://myapp.com/health` - Network accessline 48
2. Update DNS: `aws route53 change-resource-record-sets --cli-input-json file://failover.json` 3. Verify: `curl https://myapp.com/health` 4. Run smoke tests - Network accessline 49
3. Verify: `curl https://myapp.com/health`
skills/backup-disaster-recovery/scripts/validate-schema.sh
- Executable scriptline 1
#!/bin/bash
skills/batch-processing-jobs/references/bull-queue-nodejs.md
- Network accessline 235
// Simulate report generation return { url: `https://cdn.example.com/reports/${uuidv4()}.${format}`, - Network accessline 236
return { url: `https://cdn.example.com/reports/${uuidv4()}.${format}`, size: 1024 * 1024, - Network accessline 237
url: `https://cdn.example.com/reports/${uuidv4()}.${format}`,
skills/batch-processing-jobs/references/celery-style-worker-python.md
- Network accessline 125
return { 'report_id': f"report-{int(time.time())}", 'url': f"https://cdn.example.com/reports/report.{format}", - Network accessline 126
'report_id': f"report-{int(time.time())}", 'url': f"https://cdn.example.com/reports/report.{format}", 'format': format - Network accessline 127
'url': f"https://cdn.example.com/reports/report.{format}",
skills/batch-processing-jobs/scripts/validate-pipeline.sh
- Executable scriptline 1
#!/bin/bash
skills/blue-green-deployment/references/blue-green-with-load-balancer.md
- Network accessline 101
if ! timeout 30 bash -c "until curl -f http://localhost:8080$HEALTH_CHECK_ENDPOINT; do sleep 1; done"; then
skills/blue-green-deployment/references/monitoring-and-validation.md
- Network accessline 42
kubectl exec -it $SMOKE_TEST_POD -n "$ENVIRONMENT" -- bash -c ' echo "Testing health endpoint..." curl -f http://localhost:8080/health || exit 1 - Network accessline 44
curl -f http://localhost:8080/health || exit 1 - Network accessline 46
echo "Testing API endpoints..." curl -f http://localhost:8080/api/version || exit 1 - Network accessline 47
curl -f http://localhost:8080/api/version || exit 1
skills/blue-green-deployment/scripts/validate-schema.sh
- Executable scriptline 1
#!/bin/bash
skills/browser-debugging/templates/component-template.tsx
- Executable scriptline 1
Executable file
skills/bundle-size-optimization/templates/component-template.tsx
- Executable scriptline 1
Executable file
skills/caching-strategy/scripts/validate-api.sh
- Executable scriptline 1
#!/bin/bash
skills/canary-deployment/references/istio-based-canary-deployment.md
- Network accessline 149
webhooks: - name: acceptance-test url: http://flagger-loadtester/ - Network accessline 150
- name: acceptance-test url: http://flagger-loadtester/ timeout: 30s - Network accessline 151
url: http://flagger-loadtester/ - Network accessline 153
metadata: type: smoke cmd: "curl -sd 'test' http://myapp-canary/api/test" - Network accessline 155
cmd: "curl -sd 'test' http://myapp-canary/api/test" - Network accessline 157
- name: load-test url: http://flagger-loadtester/ - Network accessline 158
url: http://flagger-loadtester/ - Network accessline 159
timeout: 5s metadata: cmd: "hey -z 1m -q 10 -c 2 http://myapp-canary/" - Network accessline 160
metadata: cmd: "hey -z 1m -q 10 -c 2 http://myapp-canary/" logCmdOutput: "true" - Network accessline 161
cmd: "hey -z 1m -q 10 -c 2 http://myapp-canary/"
skills/canary-deployment/references/kubernetes-native-canary-script.md
- Network accessline 47
# Check error rate ERROR_RATE=$(kubectl exec -it deployment/${DEPLOYMENT}-canary -n "$NAMESPACE" -- \ curl -s http://localhost:8080/metrics | grep http_requests_total | \ - Network accessline 48
ERROR_RATE=$(kubectl exec -it deployment/${DEPLOYMENT}-canary -n "$NAMESPACE" -- curl -s http://localhost:8080/metrics | grep http_requests_total | - Network accessline 49
curl -s http://localhost:8080/metrics | grep http_requests_total | \
skills/canary-deployment/references/metrics-based-canary-analysis.md
- Network accessline 24
# Query Prometheus for metrics CANARY_ERROR_RATE=$(curl -s 'http://prometheus:9090/api/v1/query' \ - Network accessline 25
CANARY_ERROR_RATE=$(curl -s 'http://prometheus:9090/api/v1/query' \ - Network accessline 29
STABLE_ERROR_RATE=$(curl -s 'http://prometheus:9090/api/v1/query' \ - Network accessline 33
CANARY_LATENCY=$(curl -s 'http://prometheus:9090/api/v1/query' \ - Network accessline 37
STABLE_LATENCY=$(curl -s 'http://prometheus:9090/api/v1/query' \
skills/canary-deployment/scripts/scaffold-tests.sh
- Executable scriptline 1
#!/bin/bash
skills/canary-deployment/templates/test-template.js
- Executable scriptline 1
Executable file
skills/causal-inference/scripts/scaffold-analysis.sh
- Executable scriptline 1
#!/bin/bash
skills/causal-inference/templates/notebook-template.py
- Executable scriptline 1
Executable file
skills/changelog-maintenance/SKILL.md
- Network accessline 30
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), - Network accessline 31
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). - Network accessline 114
- Fixed race condition in order processing causing duplicate charges - Affected versions: 2.0.0 - 2.0.5 - Issue: [#1234](https://github.com/user/repo/issues/1234) - Network accessline 115
- Affected versions: 2.0.0 - 2.0.5 - Issue: [#1234](https://github.com/user/repo/issues/1234) - Fixed memory leak in WebSocket connections - Network accessline 116
- Issue: [#1234](https://github.com/user/repo/issues/1234) - Network accessline 197
// Old (v1) fetch("/api/users/list") - Network accessline 198
fetch("/api/users/list") - Network accessline 202
// New (v2) fetch("/api/v2/users") - Network accessline 203
fetch("/api/v2/users") - Network accessline 257
[Unreleased]: https://github.com/user/repo/compare/v2.1.0...HEAD - Network accessline 258
[2.1.0]: https://github.com/user/repo/compare/v2.0.5...v2.1.0 - Network accessline 259
[2.0.5]: https://github.com/user/repo/compare/v2.0.0...v2.0.5 - Network accessline 260
[2.0.0]: https://github.com/user/repo/compare/v1.5.2...v2.0.0 - Network accessline 261
[1.5.2]: https://github.com/user/repo/compare/v1.5.0...v1.5.2 - Network accessline 262
[1.5.0]: https://github.com/user/repo/compare/v1.0.0...v1.5.0 - Network accessline 263
[1.0.0]: https://github.com/user/repo/releases/tag/v1.0.0 - Network accessline 274
**Download:** [v2.1.0](https://github.com/user/repo/releases/tag/v2.1.0) - Network accessline 327
**Endpoint:** `https://api.example.com/graphql` - Network accessline 328
**Documentation:** [GraphQL API Docs](https://docs.example.com/graphql) - Network accessline 380
- [API Migration Guide](docs/api-migration.md) - [Upgrade Guide](docs/upgrade-guide.md) - [API Documentation](https://docs.example.com/api) - Network accessline 382
- [API Documentation](https://docs.example.com/api) - Network accessline 420
- **Issues**: [GitHub Issues](https://github.com/user/repo/issues) - Network accessline 421
- **Discussions**: [GitHub Discussions](https://github.com/user/repo/discussions) - Network accessline 422
- **Documentation**: [docs.example.com](https://docs.example.com) - Network accessline 483
- [Keep a Changelog](https://keepachangelog.com/) - Network accessline 484
- [Semantic Versioning](https://semver.org/) - Network accessline 485
- [Conventional Commits](https://www.conventionalcommits.org/) - Network accessline 486
- [Release Drafter](https://github.com/release-drafter/release-drafter)
skills/changelog-maintenance/scripts/validate-api.sh
- Executable scriptline 1
#!/bin/bash
skills/cicd-pipeline-setup/references/gitlab-ci-pipeline.md
- Network accessline 63
environment: name: staging url: https://staging.myapp.com - Network accessline 64
name: staging url: https://staging.myapp.com only: - Network accessline 65
url: https://staging.myapp.com - Network accessline 76
environment: name: production url: https://myapp.com - Network accessline 77
name: production url: https://myapp.com when: manual - Network accessline 78
url: https://myapp.com
skills/cicd-pipeline-setup/scripts/validate-pipeline.sh
- Executable scriptline 1
#!/bin/bash
skills/circuit-breaker-pattern/references/opossum-style-circuit-breaker-nodejs.md
- Network accessline 54
// Use circuit breaker async function callExternalAPI() { const response = await fetch("https://api.example.com/data"); - Network accessline 55
async function callExternalAPI() { const response = await fetch("https://api.example.com/data"); if (!response.ok) throw new Error("API error"); - Network accessline 56
const response = await fetch("https://api.example.com/data");
skills/circuit-breaker-pattern/references/python-circuit-breaker.md
skills/circuit-breaker-pattern/references/typescript-circuit-breaker.md
- Network accessline 158
return breaker.execute( async () => { const response = await fetch("https://api.example.com/data"); - Network accessline 159
async () => { const response = await fetch("https://api.example.com/data"); if (!response.ok) throw new Error("API error"); - Network accessline 160
const response = await fetch("https://api.example.com/data");
skills/circuit-breaker-pattern/scripts/validate-api.sh
- Executable scriptline 1
#!/bin/bash
skills/classification-modeling/scripts/scaffold-analysis.sh
- Executable scriptline 1
#!/bin/bash
skills/classification-modeling/templates/notebook-template.py
- Executable scriptline 1
Executable file
skills/cloud-cost-management/references/azure-cost-management.md
skills/cloud-cost-management/scripts/validate-config.sh
- Executable scriptline 1
#!/bin/bash
skills/cloud-migration-planning/references/cutover-validation-checklist.md
- Network accessline 21
steps: - test: "Source to Target connectivity" - command: "nc -zv target-db.rds.amazonaws.com 5432" - Network accessline 22
- test: "Source to Target connectivity" - command: "nc -zv target-db.rds.amazonaws.com 5432" - expected: "Connection successful" - Network accessline 23
- command: "nc -zv target-db.rds.amazonaws.com 5432"
skills/cloud-migration-planning/scripts/validate-config.sh
- Executable scriptline 1
#!/bin/bash
skills/cloud-security-configuration/scripts/validate-config.sh
- Executable scriptline 1
#!/bin/bash
skills/cloud-storage-optimization/scripts/validate-config.sh
- Executable scriptline 1
#!/bin/bash
skills/clustering-analysis/scripts/scaffold-analysis.sh
- Executable scriptline 1
#!/bin/bash
skills/clustering-analysis/templates/notebook-template.py
- Executable scriptline 1
Executable file
skills/code-generation-template/references/graphql-code-generation.md
skills/code-generation-template/scripts/validate-api.sh
- Executable scriptline 1
#!/bin/bash
skills/code-metrics-analysis/scripts/scaffold-tests.sh
- Executable scriptline 1
#!/bin/bash
skills/code-metrics-analysis/templates/test-template.js
- Executable scriptline 1
Executable file
skills/code-review-analysis/scripts/validate-schema.sh
- Executable scriptline 1
#!/bin/bash
skills/cohort-analysis/scripts/scaffold-analysis.sh
- Executable scriptline 1
#!/bin/bash
skills/cohort-analysis/templates/notebook-template.py
- Executable scriptline 1
Executable file
skills/color-accessibility/templates/component-template.tsx
- Executable scriptline 1
Executable file
skills/computer-vision/scripts/scaffold-analysis.sh
- Executable scriptline 1
#!/bin/bash
skills/computer-vision/templates/notebook-template.py
- Executable scriptline 1
Executable file
skills/concurrency-patterns/references/promise-pool-typescript.md
- Network accessline 47
const urls = Array.from( { length: 100 }, (_, i) => `https://api.example.com/item/${i}`, - Network accessline 48
{ length: 100 }, (_, i) => `https://api.example.com/item/${i}`, ); - Network accessline 49
(_, i) => `https://api.example.com/item/${i}`, - Network accessline 52
const results = await pool.map(urls, async (url) => { const response = await fetch(url); - Network accessline 53
const response = await fetch(url);
skills/concurrency-patterns/scripts/validate-api.sh
- Executable scriptline 1
#!/bin/bash
skills/configuration-management/SKILL.md
skills/configuration-management/references/12-factor-app-configuration.md
- Access to secretsline 32
[Credential-related source omitted]
skills/configuration-management/references/configuration-validation.md
- Access to secretsline 24
[Credential-related source omitted]
skills/configuration-management/references/dynamic-configuration-remote-config.md
- Network accessline 18
private async fetchConfig() { try { const response = await fetch(`${this.configServiceUrl}/config`); - Network accessline 19
try { const response = await fetch(`${this.configServiceUrl}/config`); const config = await response.json(); - Network accessline 20
const response = await fetch(`${this.configServiceUrl}/config`); - Network accessline 53
// Usage const remoteConfig = new RemoteConfigService( "https://config-service.example.com", - Network accessline 54
const remoteConfig = new RemoteConfigService( "https://config-service.example.com", ); - Network accessline 55
"https://config-service.example.com",
skills/configuration-management/references/environment-variables.md
- Access to secretsline 14
[Credential-related source omitted] - Access to secretsline 22
[Credential-related source omitted] - Access to secretsline 37
[Credential-related source omitted] - Access to secretsline 42
[Credential-related source omitted] - Access to secretsline 66
[Credential-related source omitted] - Access to secretsline 80
[Credential-related source omitted] - Access to secretsline 88
[Credential-related source omitted] - Access to secretsline 98
[Credential-related source omitted]
skills/configuration-management/references/feature-flags.md
- Access to secretsline 110
[Credential-related source omitted]
skills/configuration-management/references/secret-management.md
- Network accessline 86
this.client = vault({ apiVersion: "v1", endpoint: process.env.VAULT_ADDR || "http://localhost:8200", - Network accessline 87
[Credential-related source omitted] - Network accessline 88
endpoint: process.env.VAULT_ADDR || "http://localhost:8200", - Access to secretsline 89
[Credential-related source omitted] - Access to secretsline 131
[Credential-related source omitted]
skills/configuration-management/scripts/validate-schema.sh
- Executable scriptline 1
#!/bin/bash
skills/container-debugging/scripts/validate-config.sh
- Executable scriptline 1
#!/bin/bash
skills/container-registry-management/references/image-signing-with-notary.md
skills/container-registry-management/scripts/validate-config.sh
- Executable scriptline 1
#!/bin/bash
skills/continuous-testing/references/github-actions-ci-pipeline.md
- Dangerous shell operationline 212
sudo gpg -k - Network accessline 212
sudo gpg -k sudo gpg --no-default-keyring --keyring /usr/share/keyrings/k6-archive-keyring.gpg --keyserver hkp://keyserver.ubuntu.com:80 --recv-keys C5AD17C747E3415A3642D57D77C6C491D6AC1D69 echo "deb [signed-by=/usr/shar - Dangerous shell operationline 213
[Credential-related source omitted] - Network accessline 213
[Credential-related source omitted] - Access to secretsline 213
[Credential-related source omitted] - Dangerous shell operationline 214
[Credential-related source omitted] - Network accessline 214
[Credential-related source omitted] - Access to secretsline 214
[Credential-related source omitted] - Dangerous shell operationline 215
sudo apt-get update - Dangerous shell operationline 216
sudo apt-get install k6
skills/continuous-testing/references/gitlab-ci-pipeline.md
- Access to secretsline 87
[Credential-related source omitted]
skills/continuous-testing/scripts/validate-pipeline.sh
- Executable scriptline 1
#!/bin/bash
skills/correlation-analysis/scripts/scaffold-analysis.sh
- Executable scriptline 1
#!/bin/bash
skills/correlation-analysis/templates/notebook-template.py
- Executable scriptline 1
Executable file
skills/correlation-tracing/references/correlation-id-middleware-express.md
- Network accessline 111
try { const response = await fetch(url, { - Network accessline 112
const response = await fetch(url, { - Network accessline 149
// Call another service with trace propagation const response = await tracedFetch( `http://user-service/users/${req.params.id}`, - Network accessline 150
const response = await tracedFetch( `http://user-service/users/${req.params.id}`, ); - Network accessline 151
`http://user-service/users/${req.params.id}`,
skills/correlation-tracing/references/manual-trace-propagation.md
- Network accessline 73
// In production: // await fetch('http://tracing-collector/api/spans', { - Network accessline 74
// await fetch('http://tracing-collector/api/spans', { - Network accessline 109
// External API call const apiSpan = tracer.startSpan("external_api_call", span.spanId); tracer.setTag(apiSpan, "http.url", "https://api.example.com/data"); - Network accessline 111
tracer.setTag(apiSpan, "http.url", "https://api.example.com/data");
skills/correlation-tracing/references/opentelemetry-integration.md
skills/correlation-tracing/references/python-distributed-tracing.md
- Network accessline 48
# Call another service (automatically traced) with tracer.start_as_current_span("fetch_user_details"): user = requests.get( - Network accessline 49
with tracer.start_as_current_span("fetch_user_details"): user = requests.get( f"http://user-service/users/{order['user_id']}" - Network accessline 50
user = requests.get( - Network accessline 51
f"http://user-service/users/{order['user_id']}"
skills/correlation-tracing/scripts/health-check.sh
- Executable scriptline 1
#!/bin/bash
skills/cpu-profiling/templates/component-template.tsx
- Executable scriptline 1
Executable file
skills/cross-platform-compatibility/scripts/scaffold-tests.sh
- Executable scriptline 1
#!/bin/bash
skills/cross-platform-compatibility/templates/test-template.js
- Executable scriptline 1
Executable file
skills/csrf-protection/references/frontend-csrf-implementation.md
- Network accessline 15
*/ async fetchToken() { const response = await fetch("/api/csrf-token", { - Network accessline 16
async fetchToken() { const response = await fetch("/api/csrf-token", { credentials: "include", - Network accessline 17
const response = await fetch("/api/csrf-token", { - Network accessline 51
return fetch(url, { - Network accessline 109
React.useEffect(() => { async function fetchToken() { const response = await fetch("/api/csrf-token"); - Network accessline 110
async function fetchToken() { const response = await fetch("/api/csrf-token"); const data = await response.json(); - Network accessline 111
const response = await fetch("/api/csrf-token"); - Network accessline 129
await fetch("/api/transfer", {
skills/csrf-protection/references/nodejsexpress-csrf-protection.md
- Access to secretsline 102
[Credential-related source omitted]
skills/csrf-protection/references/origin-and-referer-validation.md
skills/csrf-protection/scripts/security-checklist.sh
- Executable scriptline 1
#!/bin/bash
skills/css-architecture/templates/component-template.tsx
- Executable scriptline 1
Executable file
skills/data-cleaning-pipeline/scripts/scaffold-analysis.sh
- Executable scriptline 1
#!/bin/bash
skills/data-cleaning-pipeline/templates/notebook-template.py
- Executable scriptline 1
Executable file
skills/data-encryption/references/python-cryptography-implementation.md
- Possible obfuscationline 64
base64.b64decode(iv), - Possible obfuscationline 65
base64.b64decode(tag) - Possible obfuscationline 71
plaintext = decryptor.update(base64.b64decode(ciphertext)) + decryptor.finalize() - Possible obfuscationline 84
f.write(base64.b64decode(result['iv'])) - Possible obfuscationline 85
f.write(base64.b64decode(result['ciphertext'])) - Possible obfuscationline 86
f.write(base64.b64decode(result['tag']))
skills/data-encryption/scripts/security-checklist.sh
- Executable scriptline 1
#!/bin/bash
skills/data-migration-scripts/scripts/validate-schema.sh
- Executable scriptline 1
#!/bin/bash
skills/data-replication-setup/references/master-slave-primary-standby-setup.md
skills/data-replication-setup/scripts/validate-schema.sh
- Executable scriptline 1
#!/bin/bash
skills/data-visualization/scripts/scaffold-analysis.sh
- Executable scriptline 1
#!/bin/bash
skills/data-visualization/templates/notebook-template.py
- Executable scriptline 1
Executable file
skills/database-backup-restore/scripts/validate-schema.sh
- Executable scriptline 1
#!/bin/bash
skills/database-indexing-strategy/scripts/validate-schema.sh
- Executable scriptline 1
#!/bin/bash
skills/database-migration-management/scripts/validate-schema.sh
- Executable scriptline 1
#!/bin/bash
skills/database-monitoring/scripts/validate-schema.sh
- Executable scriptline 1
#!/bin/bash
skills/database-performance-debugging/scripts/validate-schema.sh
- Executable scriptline 1
#!/bin/bash
skills/database-query-optimization/scripts/validate-schema.sh
- Executable scriptline 1
#!/bin/bash
skills/database-schema-design/scripts/validate-schema.sh
- Executable scriptline 1
#!/bin/bash
skills/database-schema-documentation/references/enum-types.md
skills/database-schema-documentation/scripts/validate-schema.sh
- Executable scriptline 1
#!/bin/bash
skills/database-sharding/scripts/validate-schema.sh
- Executable scriptline 1
#!/bin/bash
skills/dependency-management/references/dependency-lock-files.md
- Network accessline 14
"node_modules/express": { "version": "4.18.2", "resolved": "https://registry.npmjs.org/express/-/express-4.18.2.tgz", - Network accessline 15
"version": "4.18.2", "resolved": "https://registry.npmjs.org/express/-/express-4.18.2.tgz", "integrity": "sha512-...", - Network accessline 16
"resolved": "https://registry.npmjs.org/express/-/express-4.18.2.tgz",
skills/dependency-management/scripts/scaffold-tests.sh
- Executable scriptline 1
#!/bin/bash
skills/dependency-management/templates/test-template.js
- Executable scriptline 1
Executable file
skills/deployment-automation/references/argocd-deployment.md
skills/deployment-automation/scripts/validate-config.sh
- Executable scriptline 1
#!/bin/bash
skills/deployment-documentation/SKILL.md
skills/deployment-documentation/references/github-actions-workflow.md
skills/deployment-documentation/scripts/validate-config.sh
- Executable scriptline 1
#!/bin/bash
skills/design-handoff/references/developer-friendly-documentation.md
skills/design-handoff/templates/component-template.tsx
- Executable scriptline 1
Executable file
skills/design-patterns-implementation/scripts/scaffold-tests.sh
- Executable scriptline 1
#!/bin/bash
skills/design-patterns-implementation/templates/test-template.js
- Executable scriptline 1
Executable file
skills/design-system-creation/templates/component-template.tsx
- Executable scriptline 1
Executable file
skills/developer-onboarding/SKILL.md
- Network accessline 44
[](https://github.com/username/repo/actions) - Network accessline 45
[](https://codecov.io/gh/username/repo) - Network accessline 46
[](LICENSE) - Network accessline 47
[](https://www.npmjs.com/package/package-name)
skills/developer-onboarding/references/clone-the-repository.md
- Network accessline 6
git clone https://github.com/username/repo.git
skills/developer-onboarding/references/database-setup.md
- Network accessline 30
✓ Server running on http://localhost:3000
skills/developer-onboarding/references/git-workflow.md
skills/developer-onboarding/references/set-up-environment-variables.md
skills/dimensionality-reduction/scripts/scaffold-analysis.sh
- Executable scriptline 1
#!/bin/bash
skills/dimensionality-reduction/templates/notebook-template.py
- Executable scriptline 1
Executable file
skills/disaster-recovery-testing/references/dr-test-plan-and-execution.md
- Network accessline 100
echo "Running health checks..." for i in {1..30}; do if curl -sf http://myapp-dr/health > /dev/null; then - Network accessline 101
for i in {1..30}; do if curl -sf http://myapp-dr/health > /dev/null; then echo "Health check passed" - Network accessline 102
if curl -sf http://myapp-dr/health > /dev/null; then
skills/disaster-recovery-testing/references/dr-test-script.md
skills/disaster-recovery-testing/scripts/validate-config.sh
- Executable scriptline 1
#!/bin/bash
skills/distributed-tracing/references/zipkin-integration.md
- Network accessline 12
const recorder = new BatchRecorder({ logger: new HttpLogger({ endpoint: "http://localhost:9411/api/v2/spans", - Network accessline 13
logger: new HttpLogger({ endpoint: "http://localhost:9411/api/v2/spans", headers: { "Content-Type": "application/json" }, - Network accessline 14
endpoint: "http://localhost:9411/api/v2/spans", - Network accessline 46
response = requests.get('http://localhost:16686/api/traces', params=params)
skills/distributed-tracing/scripts/validate-api.sh
- Executable scriptline 1
#!/bin/bash
skills/django-application/references/url-routing.md
skills/django-application/scripts/validate-schema.sh
- Executable scriptline 1
#!/bin/bash
skills/dns-management/references/cloudflare-dns-configuration.md
- Access to secretsline 12
[Credential-related source omitted] - Network accessline 16
# Get zone ID if [ -z "$ZONE_ID" ]; then ZONE_ID=$(curl -s -X GET "https://api.cloudflare.com/client/v4/zones?name=$DOMAIN" \ - Network accessline 17
if [ -z "$ZONE_ID" ]; then ZONE_ID=$(curl -s -X GET "https://api.cloudflare.com/client/v4/zones?name=$DOMAIN" \ -H "X-Auth-Email: $CF_EMAIL" \ - Network accessline 18
[Credential-related source omitted] - Access to secretsline 18
[Credential-related source omitted] - Access to secretsline 20
[Credential-related source omitted] - Network accessline 34
[Credential-related source omitted] - Access to secretsline 34
[Credential-related source omitted] - Access to secretsline 36
[Credential-related source omitted] - Network accessline 47
# List records list_records() { curl -s -X GET "https://api.cloudflare.com/client/v4/zones/$ZONE_ID/dns_records" \ - Network accessline 48
list_records() { curl -s -X GET "https://api.cloudflare.com/client/v4/zones/$ZONE_ID/dns_records" \ -H "X-Auth-Email: $CF_EMAIL" \ - Network accessline 49
[Credential-related source omitted] - Access to secretsline 49
[Credential-related source omitted] - Access to secretsline 51
[Credential-related source omitted]
skills/dns-management/references/dns-failover-script.md
- Network accessline 31
# Verify new endpoint is healthy echo "Verifying new endpoint health..." if ! curl -sf --max-time 5 "https://${NEW_PRIMARY}/health" > /dev/null; then - Network accessline 32
echo "Verifying new endpoint health..." if ! curl -sf --max-time 5 "https://${NEW_PRIMARY}/health" > /dev/null; then echo "ERROR: New endpoint is not healthy" - Network accessline 33
if ! curl -sf --max-time 5 "https://${NEW_PRIMARY}/health" > /dev/null; then
skills/dns-management/references/dns-monitoring-and-validation.md
skills/dns-management/scripts/validate-config.sh
- Executable scriptline 1
#!/bin/bash
skills/docker-containerization/references/dockerignore-file.md
- Access to secretsline 11
[Credential-related source omitted]
skills/docker-containerization/scripts/validate-pipeline.sh
- Executable scriptline 1
#!/bin/bash
skills/documentation-site-setup/references/configuration-2.md
- Network accessline 8
title: "My Documentation", tagline: "Comprehensive documentation for developers", url: "https://docs.example.com", - Network accessline 9
tagline: "Comprehensive documentation for developers", url: "https://docs.example.com", baseUrl: "/", - Network accessline 10
url: "https://docs.example.com", - Network accessline 22
docs: { sidebarPath: require.resolve("./sidebars.js"), editUrl: "https://github.com/myorg/my-docs/tree/main/", - Network accessline 23
sidebarPath: require.resolve("./sidebars.js"), editUrl: "https://github.com/myorg/my-docs/tree/main/", showLastUpdateTime: true, - Network accessline 24
editUrl: "https://github.com/myorg/my-docs/tree/main/", - Network accessline 28
blog: { showReadingTime: true, editUrl: "https://github.com/myorg/my-docs/tree/main/", - Network accessline 29
showReadingTime: true, editUrl: "https://github.com/myorg/my-docs/tree/main/", }, - Network accessline 30
editUrl: "https://github.com/myorg/my-docs/tree/main/", - Network accessline 57
}, { href: "https://github.com/myorg/repo", - Network accessline 58
{ href: "https://github.com/myorg/repo", label: "GitHub", - Network accessline 59
href: "https://github.com/myorg/repo", - Network accessline 84
{ label: "Discord", href: "https://discord.gg/example", - Network accessline 85
label: "Discord", href: "https://discord.gg/example", }, - Network accessline 86
href: "https://discord.gg/example", - Network accessline 88
{ label: "Twitter", href: "https://twitter.com/example", - Network accessline 89
label: "Twitter", href: "https://twitter.com/example", }, - Network accessline 90
href: "https://twitter.com/example", - Access to secretsline 104
[Credential-related source omitted]
skills/documentation-site-setup/references/configuration-3.md
- Network accessline 8
title: "My Documentation", tagline: "Comprehensive documentation for developers", url: "https://docs.example.com", - Network accessline 9
tagline: "Comprehensive documentation for developers", url: "https://docs.example.com", baseUrl: "/", - Network accessline 10
url: "https://docs.example.com", - Network accessline 22
docs: { sidebarPath: require.resolve("./sidebars.js"), editUrl: "https://github.com/myorg/my-docs/tree/main/", - Network accessline 23
sidebarPath: require.resolve("./sidebars.js"), editUrl: "https://github.com/myorg/my-docs/tree/main/", showLastUpdateTime: true, - Network accessline 24
editUrl: "https://github.com/myorg/my-docs/tree/main/", - Network accessline 28
blog: { showReadingTime: true, editUrl: "https://github.com/myorg/my-docs/tree/main/", - Network accessline 29
showReadingTime: true, editUrl: "https://github.com/myorg/my-docs/tree/main/", }, - Network accessline 30
editUrl: "https://github.com/myorg/my-docs/tree/main/", - Network accessline 57
}, { href: "https://github.com/myorg/repo", - Network accessline 58
{ href: "https://github.com/myorg/repo", label: "GitHub", - Network accessline 59
href: "https://github.com/myorg/repo", - Network accessline 84
{ label: "Discord", href: "https://discord.gg/example", - Network accessline 85
label: "Discord", href: "https://discord.gg/example", }, - Network accessline 86
href: "https://discord.gg/example", - Network accessline 88
{ label: "Twitter", href: "https://twitter.com/example", - Network accessline 89
label: "Twitter", href: "https://twitter.com/example", }, - Network accessline 90
href: "https://twitter.com/example", - Access to secretsline 104
[Credential-related source omitted]
skills/documentation-site-setup/references/configuration.md
- Network accessline 8
title: "My Documentation", tagline: "Comprehensive documentation for developers", url: "https://docs.example.com", - Network accessline 9
tagline: "Comprehensive documentation for developers", url: "https://docs.example.com", baseUrl: "/", - Network accessline 10
url: "https://docs.example.com", - Network accessline 22
docs: { sidebarPath: require.resolve("./sidebars.js"), editUrl: "https://github.com/myorg/my-docs/tree/main/", - Network accessline 23
sidebarPath: require.resolve("./sidebars.js"), editUrl: "https://github.com/myorg/my-docs/tree/main/", showLastUpdateTime: true, - Network accessline 24
editUrl: "https://github.com/myorg/my-docs/tree/main/", - Network accessline 28
blog: { showReadingTime: true, editUrl: "https://github.com/myorg/my-docs/tree/main/", - Network accessline 29
showReadingTime: true, editUrl: "https://github.com/myorg/my-docs/tree/main/", }, - Network accessline 30
editUrl: "https://github.com/myorg/my-docs/tree/main/", - Network accessline 57
}, { href: "https://github.com/myorg/repo", - Network accessline 58
{ href: "https://github.com/myorg/repo", label: "GitHub", - Network accessline 59
href: "https://github.com/myorg/repo", - Network accessline 84
{ label: "Discord", href: "https://discord.gg/example", - Network accessline 85
label: "Discord", href: "https://discord.gg/example", }, - Network accessline 86
href: "https://discord.gg/example", - Network accessline 88
{ label: "Twitter", href: "https://twitter.com/example", - Network accessline 89
label: "Twitter", href: "https://twitter.com/example", }, - Network accessline 90
href: "https://twitter.com/example", - Access to secretsline 104
[Credential-related source omitted]
skills/documentation-site-setup/references/installation-4.md
- Network accessline 52
title: "My Documentation", tagline: "Comprehensive documentation for developers", url: "https://docs.example.com", - Network accessline 53
tagline: "Comprehensive documentation for developers", url: "https://docs.example.com", baseUrl: "/", - Network accessline 54
url: "https://docs.example.com", - Network accessline 66
docs: { sidebarPath: require.resolve("./sidebars.js"), editUrl: "https://github.com/myorg/my-docs/tree/main/", - Network accessline 67
sidebarPath: require.resolve("./sidebars.js"), editUrl: "https://github.com/myorg/my-docs/tree/main/", showLastUpdateTime: true, - Network accessline 68
editUrl: "https://github.com/myorg/my-docs/tree/main/", - Network accessline 72
blog: { showReadingTime: true, editUrl: "https://github.com/myorg/my-docs/tree/main/", - Network accessline 73
showReadingTime: true, editUrl: "https://github.com/myorg/my-docs/tree/main/", }, - Network accessline 74
editUrl: "https://github.com/myorg/my-docs/tree/main/", - Network accessline 101
}, { href: "https://github.com/myorg/repo", - Network accessline 102
{ href: "https://github.com/myorg/repo", label: "GitHub", - Network accessline 103
href: "https://github.com/myorg/repo", - Network accessline 128
{ label: "Discord", href: "https://discord.gg/example", - Network accessline 129
label: "Discord", href: "https://discord.gg/example", }, - Network accessline 130
href: "https://discord.gg/example", - Network accessline 132
{ label: "Twitter", href: "https://twitter.com/example", - Network accessline 133
label: "Twitter", href: "https://twitter.com/example", }, - Network accessline 134
href: "https://twitter.com/example", - Access to secretsline 148
[Credential-related source omitted]
skills/documentation-site-setup/templates/component-template.tsx
- Executable scriptline 1
Executable file
skills/e2e-testing-automation/references/cypress-e2e-tests.md
skills/e2e-testing-automation/references/selenium-with-python-pytest.md
- Network accessline 25
def test_search_with_results(self, driver): """Test search functionality returns relevant results.""" driver.get('http://localhost:3000') - Network accessline 27
driver.get('http://localhost:3000') - Network accessline 50
def test_search_filters(self, driver): """Test applying filters to search results.""" driver.get('http://localhost:3000/search?q=laptop') - Network accessline 52
driver.get('http://localhost:3000/search?q=laptop') - Network accessline 86
def test_pagination(self, driver): """Test navigating through search result pages.""" driver.get('http://localhost:3000/search?q=electronics') - Network accessline 88
driver.get('http://localhost:3000/search?q=electronics') - Network accessline 116
def test_empty_search_results(self, driver): """Test handling of searches with no results.""" driver.get('http://localhost:3000') - Network accessline 118
driver.get('http://localhost:3000')
skills/e2e-testing-automation/scripts/scaffold-tests.sh
- Executable scriptline 1
#!/bin/bash
skills/e2e-testing-automation/templates/test-template.js
- Executable scriptline 1
Executable file
skills/email-service-integration/references/email-templates-with-mjml.md
- Network accessline 10
<mj-section> <mj-column> <mj-image width="100px" src="https://example.com/logo.png"></mj-image> - Network accessline 11
<mj-column> <mj-image width="100px" src="https://example.com/logo.png"></mj-image> </mj-column> - Network accessline 12
<mj-image width="100px" src="https://example.com/logo.png"></mj-image> - Network accessline 28
<mj-column> <mj-button href="https://example.com/dashboard" - Network accessline 29
<mj-button href="https://example.com/dashboard" background-color="#007bff" - Network accessline 30
href="https://example.com/dashboard"
skills/email-service-integration/references/fastapi-email-with-background-tasks.md
- Network accessline 49
<h1>Welcome, {name}!</h1> <p>Thank you for joining us.</p> <a href="https://example.com/dashboard">Start Exploring</a> - Network accessline 50
<p>Thank you for joining us.</p> <a href="https://example.com/dashboard">Start Exploring</a> """ - Network accessline 51
<a href="https://example.com/dashboard">Start Exploring</a>
skills/email-service-integration/references/nodejs-with-sendgrid.md
- Access to secretsline 10
[Credential-related source omitted] - Network accessline 34
<h1>Welcome, ${userName}!</h1> <p>Thank you for joining us.</p> <a href="https://example.com/dashboard">Start Exploring</a> - Network accessline 35
<p>Thank you for joining us.</p> <a href="https://example.com/dashboard">Start Exploring</a> `; - Network accessline 36
<a href="https://example.com/dashboard">Start Exploring</a> - Network accessline 42
[Credential-related source omitted] - Network accessline 43
[Credential-related source omitted] - Network accessline 54
[Credential-related source omitted] - Network accessline 55
[Credential-related source omitted]
skills/email-service-integration/references/pythonflask-with-smtp.md
- Network accessline 60
<h1>Welcome, {{ name }}!</h1> <p>Thank you for joining us. Start exploring now!</p> <a href="https://example.com/dashboard">Go to Dashboard</a> - Network accessline 61
<p>Thank you for joining us. Start exploring now!</p> <a href="https://example.com/dashboard">Go to Dashboard</a> ''', - Network accessline 62
<a href="https://example.com/dashboard">Go to Dashboard</a> - Network accessline 69
[Credential-related source omitted] - Network accessline 70
[Credential-related source omitted] - Network accessline 71
[Credential-related source omitted] - Network accessline 84
[Credential-related source omitted] - Network accessline 85
[Credential-related source omitted] - Network accessline 86
[Credential-related source omitted]
skills/email-service-integration/scripts/validate-pipeline.sh
- Executable scriptline 1
#!/bin/bash
skills/error-tracking/references/performance-monitoring.md
skills/error-tracking/references/python-sentry-integration.md
skills/error-tracking/references/source-maps-and-release-management.md
- Network accessline 11
new SentryCliPlugin({ include: "./dist", urlPrefix: "https://example.com/", - Network accessline 12
include: "./dist", urlPrefix: "https://example.com/", release: process.env.APP_VERSION || "1.0.0", - Network accessline 13
urlPrefix: "https://example.com/", - Access to secretsline 17
[Credential-related source omitted]
skills/error-tracking/scripts/validate-api.sh
- Executable scriptline 1
#!/bin/bash
skills/event-sourcing/scripts/scaffold-analysis.sh
- Executable scriptline 1
#!/bin/bash
skills/event-sourcing/templates/notebook-template.py
- Executable scriptline 1
Executable file
skills/exploratory-data-analysis/scripts/scaffold-analysis.sh
- Executable scriptline 1
#!/bin/bash
skills/exploratory-data-analysis/templates/notebook-template.py
- Executable scriptline 1
Executable file
skills/fastapi-development/SKILL.md
skills/fastapi-development/references/api-routes-with-async-endpoints.md
skills/fastapi-development/references/fastapi-application-setup.md
skills/fastapi-development/references/security-and-jwt-authentication.md
skills/fastapi-development/scripts/validate-api.sh
- Executable scriptline 1
#!/bin/bash
skills/feature-engineering/scripts/scaffold-analysis.sh
- Executable scriptline 1
#!/bin/bash
skills/feature-engineering/templates/notebook-template.py
- Executable scriptline 1
Executable file
skills/feature-flag-system/scripts/scaffold-tests.sh
- Executable scriptline 1
#!/bin/bash
skills/feature-flag-system/templates/test-template.js
- Executable scriptline 1
Executable file
skills/file-upload-handling/references/s3cloud-storage-integration.md
- Access to secretsline 16
[Credential-related source omitted]
skills/file-upload-handling/scripts/validate-pipeline.sh
- Executable scriptline 1
#!/bin/bash
skills/flask-api-development/SKILL.md
- Access to secretsline 46
[Credential-related source omitted]
skills/flask-api-development/references/application-factory-and-configuration.md
- Access to secretsline 22
[Credential-related source omitted]
skills/flask-api-development/references/authentication-and-jwt.md
skills/flask-api-development/references/flask-application-setup.md
- Access to secretsline 15
[Credential-related source omitted]
skills/flask-api-development/scripts/validate-api.sh
- Executable scriptline 1
#!/bin/bash
skills/flutter-development/references/state-management-with-provider.md
- Network accessline 40
try { final response = await http.get( Uri.parse('https://api.example.com/users/$userId'), - Network accessline 41
final response = await http.get( Uri.parse('https://api.example.com/users/$userId'), headers: {'Content-Type': 'application/json'}, - Network accessline 42
Uri.parse('https://api.example.com/users/$userId'), - Network accessline 71
try { final response = await http.get( Uri.parse('https://api.example.com/items'), - Network accessline 72
final response = await http.get( Uri.parse('https://api.example.com/items'), ); - Network accessline 73
Uri.parse('https://api.example.com/items'),
skills/flutter-development/templates/component-template.tsx
- Executable scriptline 1
Executable file
skills/form-validation/references/formik-with-yup-validation.md
skills/form-validation/references/react-hook-form-with-typescript.md
skills/form-validation/references/server-side-validation-integration.md
- Network accessline 7
const useAsyncValidation = () => { const validateEmail = async (email: string) => { const response = await fetch(`/api/validate/email?email=${email}`); - Network accessline 8
const validateEmail = async (email: string) => { const response = await fetch(`/api/validate/email?email=${email}`); const { available } = await response.json(); - Network accessline 9
const response = await fetch(`/api/validate/email?email=${email}`); - Network accessline 14
const validateUsername = async (username: string) => { const response = await fetch(`/api/validate/username?username=${username}`); - Network accessline 15
const response = await fetch(`/api/validate/username?username=${username}`);
skills/form-validation/references/vue-vee-validate.md
skills/form-validation/templates/component-template.tsx
- Executable scriptline 1
Executable file
skills/frontend-accessibility/references/screen-reader-announcements.md
skills/frontend-accessibility/templates/component-template.tsx
- Executable scriptline 1
Executable file
skills/frontend-routing/templates/component-template.tsx
- Executable scriptline 1
Executable file
skills/frontend-state-management/references/context-api-usereducer.md
skills/frontend-state-management/references/mobx-observable-state.md
skills/frontend-state-management/references/redux-with-redux-toolkit-react.md
skills/frontend-state-management/references/zustand-lightweight-state-management.md
skills/frontend-state-management/templates/component-template.tsx
- Executable scriptline 1
Executable file
skills/frontend-testing/references/cypress-e2e-testing.md
- Network accessline 7
describe("Login Flow", () => { beforeEach(() => { cy.visit("http://localhost:3000/login"); - Network accessline 8
beforeEach(() => { cy.visit("http://localhost:3000/login"); }); - Network accessline 9
cy.visit("http://localhost:3000/login"); - Network accessline 40
beforeEach(() => { cy.login("admin@example.com", "password123"); cy.visit("http://localhost:3000/users"); - Network accessline 41
cy.login("admin@example.com", "password123"); cy.visit("http://localhost:3000/users"); }); - Network accessline 42
cy.visit("http://localhost:3000/users"); - Network accessline 73
[Credential-related source omitted] - Network accessline 74
[Credential-related source omitted] - Network accessline 75
cy.visit("http://localhost:3000/login");
skills/frontend-testing/scripts/scaffold-tests.sh
- Executable scriptline 1
#!/bin/bash
skills/frontend-testing/templates/test-template.js
- Executable scriptline 1
Executable file
skills/funnel-analysis/scripts/scaffold-analysis.sh
- Executable scriptline 1
#!/bin/bash
skills/funnel-analysis/templates/notebook-template.py
- Executable scriptline 1
Executable file
skills/gap-analysis/scripts/scaffold-analysis.sh
- Executable scriptline 1
#!/bin/bash
skills/gap-analysis/templates/notebook-template.py
- Executable scriptline 1
Executable file
skills/gcp-cloud-functions/SKILL.md
skills/gcp-cloud-functions/references/cloud-function-creation-with-gcloud-cli.md
- Network accessline 6
# Install Google Cloud SDK curl https://sdk.cloud.google.com | bash - Dangerous shell operationline 7
curl https://sdk.cloud.google.com | bash - Network accessline 7
curl https://sdk.cloud.google.com | bash - Access to secretsline 27
[Credential-related source omitted] - Access to secretsline 38
[Credential-related source omitted]
skills/gcp-cloud-functions/references/terraform-cloud-functions-configuration.md
- Access to secretsline 94
[Credential-related source omitted]
skills/gcp-cloud-functions/scripts/validate-config.sh
- Executable scriptline 1
#!/bin/bash
skills/gcp-cloud-run/references/terraform-cloud-run-configuration.md
- Network accessline 319
http_target { http_method = "POST" uri = "https://${var.region}-run.googleapis.com/apis/run.googleapis.com/v1/projects/${var.project_id}/locations/${var.region}/jobs/batch-processor:run" - Network accessline 321
uri = "https://${var.region}-run.googleapis.com/apis/run.googleapis.com/v1/projects/${var.project_id}/locations/${var.region}/jobs/batch-processor:run"
skills/gcp-cloud-run/scripts/validate-config.sh
- Executable scriptline 1
#!/bin/bash
skills/git-hooks-setup/references/pre-commit-framework-python.md
- Network accessline 6
# .pre-commit-config.yaml repos: - repo: https://github.com/pre-commit/pre-commit-hooks - Network accessline 7
repos: - repo: https://github.com/pre-commit/pre-commit-hooks rev: v4.4.0 - Network accessline 8
- repo: https://github.com/pre-commit/pre-commit-hooks - Network accessline 19
- repo: https://github.com/psf/black - Network accessline 25
- repo: https://github.com/PyCQA/flake8 - Network accessline 31
- repo: https://github.com/PyCQA/isort - Network accessline 37
- repo: https://github.com/Yelp/detect-secrets - Network accessline 43
- repo: https://github.com/commitizen-tools/commitizen
skills/git-hooks-setup/references/secret-detection-hook.md
- Access to secretsline 8
[Credential-related source omitted]
skills/git-hooks-setup/scripts/scaffold-tests.sh
- Executable scriptline 1
#!/bin/bash
skills/git-hooks-setup/templates/test-template.js
- Executable scriptline 1
Executable file
skills/git-workflow-strategy/references/gitflow-workflow-setup.md
skills/git-workflow-strategy/scripts/validate-pipeline.sh
- Executable scriptline 1
#!/bin/bash
skills/github-actions-workflow/scripts/validate-pipeline.sh
- Executable scriptline 1
#!/bin/bash
skills/gitlab-cicd-pipeline/references/complete-pipeline-configuration.md
- Network accessline 90
script: - apk add --no-cache git - git clone https://github.com/aquasecurity/trivy.git - Network accessline 91
- apk add --no-cache git - git clone https://github.com/aquasecurity/trivy.git - ./trivy image $CI_REGISTRY_IMAGE:$CI_COMMIT_SHA - Network accessline 92
- git clone https://github.com/aquasecurity/trivy.git - Network accessline 98
environment: name: review/$CI_COMMIT_REF_SLUG url: https://$CI_COMMIT_REF_SLUG.review.example.com - Network accessline 99
name: review/$CI_COMMIT_REF_SLUG url: https://$CI_COMMIT_REF_SLUG.review.example.com auto_stop_in: 1 week - Network accessline 100
url: https://$CI_COMMIT_REF_SLUG.review.example.com - Network accessline 111
environment: name: production url: https://example.com - Network accessline 112
name: production url: https://example.com script: - Network accessline 113
url: https://example.com
skills/gitlab-cicd-pipeline/references/gitlab-runner-configuration.md
- Network accessline 9
# Register GitLab Runner gitlab-runner register \ --url https://gitlab.com/ \ - Network accessline 10
[Credential-related source omitted] - Access to secretsline 10
[Credential-related source omitted] - Network accessline 11
--url https://gitlab.com/ \ - Access to secretsline 12
[Credential-related source omitted]
skills/gitlab-cicd-pipeline/scripts/validate-pipeline.sh
- Executable scriptline 1
#!/bin/bash
skills/graceful-shutdown/scripts/validate-config.sh
- Executable scriptline 1
#!/bin/bash
skills/grafana-dashboard/references/docker-compose-setup.md
skills/grafana-dashboard/references/grafana-provisioning-configuration.md
skills/grafana-dashboard/scripts/health-check.sh
- Executable scriptline 1
#!/bin/bash
skills/graphql-implementation/scripts/validate-api.sh
- Executable scriptline 1
#!/bin/bash
skills/grpc-service-development/scripts/validate-api.sh
- Executable scriptline 1
#!/bin/bash
skills/health-check-endpoints/references/expressjs-health-checks.md
skills/health-check-endpoints/scripts/validate-config.sh
- Executable scriptline 1
#!/bin/bash
skills/idempotency-handling/scripts/validate-api.sh
- Executable scriptline 1
#!/bin/bash
skills/image-optimization/templates/component-template.tsx
- Executable scriptline 1
Executable file
skills/incident-response-plan/references/nodejs-incident-detection-response.md
- Network accessline 187
async sendToSIEM(incident) { try { await axios.post("https://siem.example.com/api/incidents", incident); - Network accessline 188
try { await axios.post("https://siem.example.com/api/incidents", incident); } catch (error) { - Network accessline 189
await axios.post("https://siem.example.com/api/incidents", incident);
skills/incident-response-plan/scripts/security-checklist.sh
- Executable scriptline 1
#!/bin/bash
skills/information-architecture/scripts/scaffold-tests.sh
- Executable scriptline 1
#!/bin/bash
skills/information-architecture/templates/test-template.js
- Executable scriptline 1
Executable file
skills/infrastructure-cost-optimization/scripts/validate-config.sh
- Executable scriptline 1
#!/bin/bash
skills/infrastructure-monitoring/references/monitoring-deployment.md
skills/infrastructure-monitoring/scripts/health-check.sh
- Executable scriptline 1
#!/bin/bash
skills/integration-testing/scripts/scaffold-tests.sh
- Executable scriptline 1
#!/bin/bash
skills/integration-testing/templates/test-template.js
- Executable scriptline 1
Executable file
skills/interaction-design/templates/component-template.tsx
- Executable scriptline 1
Executable file
skills/intermittent-issue-debugging/scripts/scaffold-tests.sh
- Executable scriptline 1
#!/bin/bash
skills/intermittent-issue-debugging/templates/test-template.js
- Executable scriptline 1
Executable file
skills/internationalization-i18n/templates/component-template.tsx
- Executable scriptline 1
Executable file
skills/ios-swift-development/SKILL.md
- Access to secretsline 81
[Credential-related source omitted]
skills/ios-swift-development/references/mvvm-architecture-setup.md
skills/ios-swift-development/references/network-service-with-urlsession.md
- Network accessline 12
init( session: URLSession = .shared, baseURL: URL = URL(string: "https://api.example.com")! - Network accessline 13
session: URLSession = .shared, baseURL: URL = URL(string: "https://api.example.com")! ) { - Network accessline 14
baseURL: URL = URL(string: "https://api.example.com")! - Access to secretsline 94
[Credential-related source omitted]
skills/ios-swift-development/references/swiftui-views.md
- Network accessline 47
private func loadItems() async { do { items = try await NetworkService.shared.fetch([Item].self, from: "/items") - Network accessline 48
do { items = try await NetworkService.shared.fetch([Item].self, from: "/items") } catch { - Network accessline 49
items = try await NetworkService.shared.fetch([Item].self, from: "/items")
skills/ios-swift-development/scripts/validate-api.sh
- Executable scriptline 1
#!/bin/bash
skills/jenkins-pipeline/scripts/validate-pipeline.sh
- Executable scriptline 1
#!/bin/bash
skills/kpi-dashboard-design/scripts/health-check.sh
- Executable scriptline 1
#!/bin/bash
skills/kubernetes-deployment/references/complete-deployment-with-resource-management.md
- Network accessline 66
"sh", "-c", "until nc -z postgres-service 5432; do echo waiting for db; sleep 2; done", - Network accessline 67
"-c", "until nc -z postgres-service 5432; do echo waiting for db; sleep 2; done", ] - Network accessline 68
"until nc -z postgres-service 5432; do echo waiting for db; sleep 2; done",
skills/kubernetes-deployment/scripts/validate-config.sh
- Executable scriptline 1
#!/bin/bash
skills/load-balancer-setup/references/load-balancer-health-check-script.md
- Dangerous shell operationline 21
if timeout "$TIMEOUT" bash -c "echo >/dev/tcp/$host/$port" 2>/dev/null; then - Network accessline 21
if timeout "$TIMEOUT" bash -c "echo >/dev/tcp/$host/$port" 2>/dev/null; then - Network accessline 22
if curl -sf --max-time "$TIMEOUT" "http://$backend$HEALTH_ENDPOINT" > /dev/null; then
skills/load-balancer-setup/scripts/validate-api.sh
- Executable scriptline 1
#!/bin/bash
skills/log-aggregation/SKILL.md
- Network accessline 51
- elasticsearch_data:/usr/share/elasticsearch/data healthcheck: test: curl -s http://localhost:9200 >/dev/null || exit 1 - Network accessline 52
healthcheck: test: curl -s http://localhost:9200 >/dev/null || exit 1 interval: 10s - Network accessline 53
test: curl -s http://localhost:9200 >/dev/null || exit 1
skills/log-aggregation/references/elk-stack-configuration.md
- Network accessline 19
- elasticsearch_data:/usr/share/elasticsearch/data healthcheck: test: curl -s http://localhost:9200 >/dev/null || exit 1 - Network accessline 20
healthcheck: test: curl -s http://localhost:9200 >/dev/null || exit 1 interval: 10s - Network accessline 21
test: curl -s http://localhost:9200 >/dev/null || exit 1 - Network accessline 41
- "5601:5601" environment: - ELASTICSEARCH_URL=http://elasticsearch:9200 - Network accessline 42
environment: - ELASTICSEARCH_URL=http://elasticsearch:9200 depends_on: - Network accessline 43
- ELASTICSEARCH_URL=http://elasticsearch:9200
skills/log-aggregation/references/log-aggregation-deployment-script.md
- Network accessline 42
# Create default index pattern echo "Setting up Kibana index pattern..." kubectl exec -it -n "$NAMESPACE" svc/kibana -- curl -X POST \ - Network accessline 43
echo "Setting up Kibana index pattern..." kubectl exec -it -n "$NAMESPACE" svc/kibana -- curl -X POST \ http://localhost:5601/api/saved_objects/index-pattern/logs \ - Network accessline 44
kubectl exec -it -n "$NAMESPACE" svc/kibana -- curl -X POST \ - Network accessline 45
http://localhost:5601/api/saved_objects/index-pattern/logs \ - Network accessline 50
echo "Logging stack deployed successfully!" echo "Kibana: http://localhost:5601" - Network accessline 51
echo "Kibana: http://localhost:5601"
skills/log-aggregation/references/logstash-pipeline-configuration.md
- Network accessline 25
# Read from Kubernetes kubernetes { kubernetes_url => "https://kubernetes.default" - Network accessline 26
kubernetes { kubernetes_url => "https://kubernetes.default" ca_file => "/var/run/secrets/kubernetes.io/serviceaccount/ca.crt" - Network accessline 27
kubernetes_url => "https://kubernetes.default"
skills/log-aggregation/scripts/validate-config.sh
- Executable scriptline 1
#!/bin/bash
skills/log-analysis/scripts/security-checklist.sh
- Executable scriptline 1
#!/bin/bash
skills/logging-best-practices/references/distributed-tracing.md
skills/logging-best-practices/scripts/health-check.sh
- Executable scriptline 1
#!/bin/bash
skills/markdown-documentation/references/collapsible-sections.md
- Network accessline 53
 - Network accessline 54
 - Network accessline 55
 - Network accessline 56
 - Network accessline 57
 - Network accessline 58

skills/markdown-documentation/references/extended-syntax-github-flavored-markdown.md
skills/markdown-documentation/references/links-and-images.md
- Network accessline 6
[Link text](https://example.com) - Network accessline 7
[Link with title](https://example.com "Link title") - Network accessline 9
Reference-style link: [Link text][reference] [reference]: https://example.com - Network accessline 11
[reference]: https://example.com - Network accessline 13
Automatic link: <https://example.com> - Network accessline 14
<https://example.com>
skills/memory-leak-detection/scripts/validate-config.sh
- Executable scriptline 1
#!/bin/bash
skills/memory-optimization/templates/component-template.tsx
- Executable scriptline 1
Executable file
skills/microservices-architecture/references/api-gateway-pattern.md
- Access to secretsline 27
[Credential-related source omitted] - Network accessline 37
authenticateToken, httpProxy.createProxyMiddleware({ target: "http://user-service:3000", - Network accessline 38
httpProxy.createProxyMiddleware({ target: "http://user-service:3000", changeOrigin: true, - Network accessline 39
target: "http://user-service:3000", - Network accessline 47
authenticateToken, httpProxy.createProxyMiddleware({ target: "http://order-service:3000", - Network accessline 48
httpProxy.createProxyMiddleware({ target: "http://order-service:3000", changeOrigin: true, - Network accessline 49
target: "http://order-service:3000", - Network accessline 56
"/api/products", httpProxy.createProxyMiddleware({ target: "http://product-service:3000", - Network accessline 57
httpProxy.createProxyMiddleware({ target: "http://product-service:3000", changeOrigin: true, - Network accessline 58
target: "http://product-service:3000", - Network accessline 68
// Parallel requests to multiple services const [order, user, products] = await Promise.all([ fetch(`http://order-service:3000/orders/${orderId}`).then((r) => r.json()), - Network accessline 69
const [order, user, products] = await Promise.all([ fetch(`http://order-service:3000/orders/${orderId}`).then((r) => r.json()), fetch(`http://user-service:3000/users/${req.user.id}`).then((r) => - Network accessline 70
fetch(`http://order-service:3000/orders/${orderId}`).then((r) => r.json()), - Network accessline 71
fetch(`http://user-service:3000/users/${req.user.id}`).then((r) => - Network accessline 72
r.json(), ), fetch(`http://product-service:3000/products?ids=${order.itemIds}`).then( - Network accessline 73
), fetch(`http://product-service:3000/products?ids=${order.itemIds}`).then( (r) => r.json(), - Network accessline 74
fetch(`http://product-service:3000/products?ids=${order.itemIds}`).then(
skills/microservices-architecture/references/communication-patterns.md
skills/microservices-architecture/references/service-discovery.md
- Network accessline 27
port: servicePort, check: { http: `http://${process.env.SERVICE_IP}:${servicePort}/health`, - Network accessline 28
check: { http: `http://${process.env.SERVICE_IP}:${servicePort}/health`, interval: "10s", - Network accessline 29
http: `http://${process.env.SERVICE_IP}:${servicePort}/health`, - Network accessline 47
// Simple round-robin const service = result[Math.floor(Math.random() * result.length)]; return `http://${service.Service.Address}:${service.Service.Port}`; - Network accessline 48
const service = result[Math.floor(Math.random() * result.length)]; return `http://${service.Service.Address}:${service.Service.Port}`; } - Network accessline 49
return `http://${service.Service.Address}:${service.Service.Port}`; - Network accessline 101
// Service call in Kubernetes const userServiceUrl = process.env.USER_SERVICE_URL || "http://user-service"; const response = await fetch(`${userServiceUrl}/users/${userId}`); - Network accessline 102
const userServiceUrl = process.env.USER_SERVICE_URL || "http://user-service"; - Network accessline 103
const response = await fetch(`${userServiceUrl}/users/${userId}`);
skills/microservices-architecture/scripts/validate-config.sh
- Executable scriptline 1
#!/bin/bash
skills/ml-model-explanation/scripts/scaffold-analysis.sh
- Executable scriptline 1
#!/bin/bash
skills/ml-model-explanation/templates/notebook-template.py
- Executable scriptline 1
Executable file
skills/ml-model-training/scripts/scaffold-analysis.sh
- Executable scriptline 1
#!/bin/bash
skills/ml-model-training/templates/notebook-template.py
- Executable scriptline 1
Executable file
skills/ml-pipeline-automation/scripts/scaffold-analysis.sh
- Executable scriptline 1
#!/bin/bash
skills/ml-pipeline-automation/templates/notebook-template.py
- Executable scriptline 1
Executable file
skills/mobile-app-debugging/scripts/scaffold-tests.sh
- Executable scriptline 1
#!/bin/bash
skills/mobile-app-debugging/templates/test-template.js
- Executable scriptline 1
Executable file
skills/mobile-app-testing/references/performance-testing.md
- Network accessline 26
Task { do { _ = try await networkService.fetch(User.self, from: "/users/test") - Network accessline 27
do { _ = try await networkService.fetch(User.self, from: "/users/test") expectation.fulfill() - Network accessline 28
_ = try await networkService.fetch(User.self, from: "/users/test")
skills/mobile-app-testing/scripts/scaffold-tests.sh
- Executable scriptline 1
#!/bin/bash
skills/mobile-app-testing/templates/test-template.js
- Executable scriptline 1
Executable file
skills/mobile-first-design/scripts/validate-config.sh
- Executable scriptline 1
#!/bin/bash
skills/mobile-offline-support/references/ios-core-data-implementation.md
skills/mobile-offline-support/references/react-native-offline-storage.md
- Network accessline 67
if (isOnline) { try { const response = await fetch('https://api.example.com/items'); - Network accessline 68
try { const response = await fetch('https://api.example.com/items'); const items = await response.json(); - Network accessline 69
const response = await fetch('https://api.example.com/items'); - Network accessline 86
if (isOnline) { try { const response = await fetch('https://api.example.com/items', { - Network accessline 87
try { const response = await fetch('https://api.example.com/items', { method: 'POST', - Network accessline 88
const response = await fetch('https://api.example.com/items', { - Network accessline 128
switch (action.type) { case 'CREATE_ITEM': return fetch('https://api.example.com/items', { - Network accessline 129
case 'CREATE_ITEM': return fetch('https://api.example.com/items', { method: 'POST', - Network accessline 130
return fetch('https://api.example.com/items', { - Network accessline 140
async checkConnectivity() { const state = await NetInfo.fetch(); - Network accessline 141
const state = await NetInfo.fetch();
skills/mobile-offline-support/templates/component-template.tsx
- Executable scriptline 1
Executable file
skills/mocking-stubbing/scripts/scaffold-tests.sh
- Executable scriptline 1
#!/bin/bash
skills/mocking-stubbing/templates/test-template.js
- Executable scriptline 1
Executable file
skills/model-deployment/SKILL.md
- Network accessline 239
restart: unless-stopped healthcheck: test: ["CMD", "curl", "-f", "http://localhost:8000/health"] - Network accessline 240
healthcheck: test: ["CMD", "curl", "-f", "http://localhost:8000/health"] interval: 10s - Network accessline 241
test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
skills/model-deployment/scripts/validate-config.sh
- Executable scriptline 1
#!/bin/bash
skills/model-hyperparameter-tuning/scripts/scaffold-analysis.sh
- Executable scriptline 1
#!/bin/bash
skills/model-hyperparameter-tuning/templates/notebook-template.py
- Executable scriptline 1
Executable file
skills/model-monitoring/scripts/scaffold-analysis.sh
- Executable scriptline 1
#!/bin/bash
skills/model-monitoring/templates/notebook-template.py
- Executable scriptline 1
Executable file
skills/monorepo-management/scripts/validate-pipeline.sh
- Executable scriptline 1
#!/bin/bash
skills/multi-cloud-strategy/references/terraform-multi-cloud-configuration.md
- Access to secretsline 116
[Credential-related source omitted] - Network accessline 157
resource "helm_release" "istio" { name = "istio" repository = "https://istio-release.storage.googleapis.com/charts" - Network accessline 158
name = "istio" repository = "https://istio-release.storage.googleapis.com/charts" chart = "istiod" - Network accessline 159
repository = "https://istio-release.storage.googleapis.com/charts"
skills/multi-cloud-strategy/scripts/validate-config.sh
- Executable scriptline 1
#!/bin/bash
skills/mutation-testing/scripts/scaffold-tests.sh
- Executable scriptline 1
#!/bin/bash
skills/mutation-testing/templates/test-template.js
- Executable scriptline 1
Executable file
skills/natural-language-processing/scripts/scaffold-analysis.sh
- Executable scriptline 1
#!/bin/bash
skills/natural-language-processing/templates/notebook-template.py
- Executable scriptline 1
Executable file
skills/network-analysis/scripts/scaffold-analysis.sh
- Executable scriptline 1
#!/bin/bash
skills/network-analysis/templates/notebook-template.py
- Executable scriptline 1
Executable file
skills/network-debugging/references/common-network-issues.md
- Network accessline 13
3. Check request method (GET, POST, etc) 4. Add preflight handling 5. Test with curl first - Network accessline 15
5. Test with curl first - Network accessline 31
Solutions: 1. Use faster DNS (8.8.8.8, 1.1.1.1) 2. Pre-connect to domain: <link rel="preconnect" href="https://api.example.com"> - Network accessline 32
1. Use faster DNS (8.8.8.8, 1.1.1.1) 2. Pre-connect to domain: <link rel="preconnect" href="https://api.example.com"> 3. DNS prefetch: <link rel="dns-prefetch" href="https://cdn.example.com"> - Network accessline 33
2. Pre-connect to domain: <link rel="preconnect" href="https://api.example.com"> - Network accessline 34
3. DNS prefetch: <link rel="dns-prefetch" href="https://cdn.example.com"> - Network accessline 44
Debug: curl -v https://example.com - Network accessline 45
curl -v https://example.com
skills/network-debugging/references/debugging-tools-techniques.md
skills/network-debugging/scripts/validate-api.sh
- Executable scriptline 1
#!/bin/bash
skills/network-security-groups/scripts/security-checklist.sh
- Executable scriptline 1
#!/bin/bash
skills/neural-network-design/scripts/scaffold-analysis.sh
- Executable scriptline 1
#!/bin/bash
skills/neural-network-design/templates/notebook-template.py
- Executable scriptline 1
Executable file
skills/nginx-configuration/references/https-server-with-load-balancing.md
- Network accessline 8
listen 80; server_name myapp.com www.myapp.com; return 301 https://$server_name$request_uri; - Network accessline 9
server_name myapp.com www.myapp.com; return 301 https://$server_name$request_uri; } - Network accessline 10
return 301 https://$server_name$request_uri; - Network accessline 51
proxy_pass http://backend; - Network accessline 77
proxy_pass http://api_backend;
skills/nginx-configuration/references/nginx-configuration-script.md
skills/nginx-configuration/references/nginx-monitoring-configuration.md
skills/nginx-configuration/scripts/validate-api.sh
- Executable scriptline 1
#!/bin/bash
skills/nodejs-express-server/references/authentication-with-jwt.md
- Access to secretsline 12
[Credential-related source omitted]
skills/nodejs-express-server/references/environment-configuration.md
- Access to secretsline 16
[Credential-related source omitted] - Network accessline 18
}, cors: { origin: process.env.CORS_ORIGIN || "http://localhost:3000", - Network accessline 19
cors: { origin: process.env.CORS_ORIGIN || "http://localhost:3000", }, - Network accessline 20
origin: process.env.CORS_ORIGIN || "http://localhost:3000",
skills/nodejs-express-server/references/middleware-chain-implementation.md
- Access to secretsline 21
[Credential-related source omitted]
skills/nodejs-express-server/scripts/security-checklist.sh
- Executable scriptline 1
#!/bin/bash
skills/nosql-database-design/scripts/validate-schema.sh
- Executable scriptline 1
#!/bin/bash
skills/oauth-implementation/SKILL.md
skills/oauth-implementation/references/java-spring-security-oauth.md
- Network accessline 28
.authorizedGrantTypes("authorization_code", "refresh_token") .scopes("read", "write") .redirectUris("https://myapp.com/callback") - Network accessline 29
.scopes("read", "write") .redirectUris("https://myapp.com/callback") .accessTokenValiditySeconds(3600) - Network accessline 30
.redirectUris("https://myapp.com/callback")
skills/oauth-implementation/references/nodejs-oauth-20-server.md
- Access to secretsline 21
[Credential-related source omitted] - Access to secretsline 22
[Credential-related source omitted] - Access to secretsline 88
[Credential-related source omitted] - Access to secretsline 94
[Credential-related source omitted] - Access to secretsline 210
[Credential-related source omitted] - Network accessline 214
algorithm: "RS256", expiresIn: "1h", issuer: "https://auth.example.com", - Network accessline 215
expiresIn: "1h", issuer: "https://auth.example.com", audience: "https://api.example.com", - Network accessline 216
issuer: "https://auth.example.com", - Network accessline 217
audience: "https://api.example.com", - Access to secretsline 232
[Credential-related source omitted] - Network accessline 252
const decoded = jwt.verify(token, this.publicKey, { algorithms: ["RS256"], issuer: "https://auth.example.com", - Network accessline 253
algorithms: ["RS256"], issuer: "https://auth.example.com", audience: "https://api.example.com", - Network accessline 254
issuer: "https://auth.example.com", - Network accessline 255
audience: "https://api.example.com", - Network accessline 284
// Register OAuth client oauthServer.registerClient("client-app-123", "super-secret-key", [ "https://myapp.com/callback", - Network accessline 285
oauthServer.registerClient("client-app-123", "super-secret-key", [ "https://myapp.com/callback", ]); - Network accessline 286
"https://myapp.com/callback",
skills/oauth-implementation/references/python-openid-connect-implementation.md
- Access to secretsline 41
[Credential-related source omitted] - Access to secretsline 44
[Credential-related source omitted] - Network accessline 54
payload = { 'iss': 'https://auth.example.com', - Network accessline 55
'iss': 'https://auth.example.com', - Network accessline 69
'given_name': 'John', 'family_name': 'Doe', 'picture': 'https://example.com/avatar.jpg' - Network accessline 70
'family_name': 'Doe', 'picture': 'https://example.com/avatar.jpg' }) - Network accessline 71
'picture': 'https://example.com/avatar.jpg' - Access to secretsline 78
[Credential-related source omitted] - Network accessline 105
"""OpenID Connect Discovery endpoint""" return jsonify({ 'issuer': 'https://auth.example.com', - Network accessline 106
return jsonify({ 'issuer': 'https://auth.example.com', 'authorization_endpoint': 'https://auth.example.com/oauth/authorize', - Network accessline 107
'issuer': 'https://auth.example.com', - Network accessline 108
'authorization_endpoint': 'https://auth.example.com/oauth/authorize', - Network accessline 109
'token_endpoint': 'https://auth.example.com/oauth/token', - Network accessline 110
'userinfo_endpoint': 'https://auth.example.com/oauth/userinfo', - Network accessline 111
'jwks_uri': 'https://auth.example.com/.well-known/jwks.json', - Network accessline 159
'sample-app', 'secret123', ['https://myapp.com/callback'], - Network accessline 160
'secret123', ['https://myapp.com/callback'], ['openid', 'profile', 'email'] - Network accessline 161
['https://myapp.com/callback'],
skills/oauth-implementation/scripts/security-checklist.sh
- Executable scriptline 1
#!/bin/bash
skills/payment-gateway-integration/SKILL.md
skills/payment-gateway-integration/references/nodejsexpress-stripe-integration.md
skills/payment-gateway-integration/references/paypal-integration.md
- Access to secretsline 13
[Credential-related source omitted] - Network accessline 24
}, "redirect_urls": { "return_url": return_url or "https://example.com/return", - Network accessline 25
"redirect_urls": { "return_url": return_url or "https://example.com/return", "cancel_url": cancel_url or "https://example.com/cancel" - Network accessline 26
"return_url": return_url or "https://example.com/return", - Network accessline 27
"cancel_url": cancel_url or "https://example.com/cancel"
skills/payment-gateway-integration/references/stripe-integration-with-pythonflask.md
- Access to secretsline 10
[Credential-related source omitted] - Access to secretsline 11
[Credential-related source omitted] - Access to secretsline 12
[Credential-related source omitted] - Access to secretsline 21
[Credential-related source omitted] - Access to secretsline 37
[Credential-related source omitted] - Access to secretsline 127
[Credential-related source omitted]
skills/payment-gateway-integration/scripts/validate-api.sh
- Executable scriptline 1
#!/bin/bash
skills/penetration-testing/references/automated-penetration-testing-framework.md
- Network accessline 42
for payload in payloads: try: response = requests.get( - Network accessline 43
try: response = requests.get( url, - Network accessline 44
response = requests.get( - Network accessline 87
for payload in payloads: try: response = requests.get( - Network accessline 88
try: response = requests.get( url, - Network accessline 89
response = requests.get( - Network accessline 122
for username, password in default_creds: try: response = requests.post( - Network accessline 123
try: response = requests.post( login_url, - Network accessline 124
response = requests.post( - Network accessline 148
try: response = requests.get(url, timeout=5) - Network accessline 149
response = requests.get(url, timeout=5) - Network accessline 185
for payload in payloads: try: response = requests.get( - Network accessline 186
try: response = requests.get( url, - Network accessline 187
response = requests.get( - Network accessline 307
# Usage if __name__ == '__main__': tester = PenetrationTester('https://example.com') - Network accessline 309
tester = PenetrationTester('https://example.com') - Network accessline 311
target_urls = [ 'https://example.com/api/users', - Network accessline 312
'https://example.com/api/users', 'https://example.com/search', 'https://example.com/download' - Network accessline 313
'https://example.com/search', 'https://example.com/download' ] - Network accessline 314
'https://example.com/download'
skills/penetration-testing/references/burp-suite-automation-script.md
skills/penetration-testing/scripts/security-checklist.sh
- Executable scriptline 1
#!/bin/bash
skills/performance-regression-debugging/scripts/scaffold-tests.sh
- Executable scriptline 1
#!/bin/bash
skills/performance-regression-debugging/templates/test-template.js
- Executable scriptline 1
Executable file
skills/performance-testing/references/k6-for-api-load-testing.md
- Network accessline 31
// Test data const BASE_URL = "https://api.example.com"; - Network accessline 32
const BASE_URL = "https://api.example.com"; - Network accessline 115
# Output to InfluxDB for visualization k6 run --out influxdb=http://localhost:8086/k6 load-test.js - Network accessline 116
k6 run --out influxdb=http://localhost:8086/k6 load-test.js
skills/performance-testing/references/real-time-monitoring.md
- Network accessline 63
for (let i = 0; i < 100; i++) { await monitor.measureEndpoint("getUsers", async () => { return await fetch("/api/users").then((r) => r.json()); - Network accessline 64
await monitor.measureEndpoint("getUsers", async () => { return await fetch("/api/users").then((r) => r.json()); }); - Network accessline 65
return await fetch("/api/users").then((r) => r.json());
skills/performance-testing/scripts/validate-api.sh
- Executable scriptline 1
#!/bin/bash
skills/polyglot-integration/scripts/validate-pipeline.sh
- Executable scriptline 1
#!/bin/bash
skills/profiling-optimization/scripts/validate-api.sh
- Executable scriptline 1
#!/bin/bash
skills/progressive-web-app/references/push-notifications.md
skills/progressive-web-app/references/service-worker-implementation.md
- Network accessline 56
return ( response || fetch(request).then((res) => { - Network accessline 57
response || fetch(request).then((res) => { if (res.ok) { - Network accessline 58
fetch(request).then((res) => { - Network accessline 76
if (request.url.includes("/api/")) { event.respondWith( fetch(request) - Network accessline 77
event.respondWith( fetch(request) .then((response) => { - Network accessline 78
fetch(request) - Network accessline 96
event.respondWith( caches.match(request).then((cachedResponse) => { const fetchPromise = fetch(request).then((response) => { - Network accessline 97
caches.match(request).then((cachedResponse) => { const fetchPromise = fetch(request).then((response) => { if (response.ok) { - Network accessline 98
const fetchPromise = fetch(request).then((response) => { - Network accessline 127
for (const item of unsynced) { try { await fetch("/api/notes", { - Network accessline 128
try { await fetch("/api/notes", { method: "POST", - Network accessline 129
await fetch("/api/notes", {
skills/progressive-web-app/templates/component-template.tsx
- Executable scriptline 1
Executable file
skills/prometheus-monitoring/scripts/health-check.sh
- Executable scriptline 1
#!/bin/bash
skills/property-based-testing/scripts/scaffold-tests.sh
- Executable scriptline 1
#!/bin/bash
skills/property-based-testing/templates/test-template.js
- Executable scriptline 1
Executable file
skills/pull-request-automation/scripts/scaffold-tests.sh
- Executable scriptline 1
#!/bin/bash
skills/pull-request-automation/templates/test-template.js
- Executable scriptline 1
Executable file
skills/push-notification-setup/references/android-setup-with-kotlin.md
skills/push-notification-setup/references/firebase-cloud-messaging-setup.md
- Network accessline 53
export async function saveTokenToBackend(token) { try { const response = await fetch("https://api.example.com/device-tokens", { - Network accessline 54
try { const response = await fetch("https://api.example.com/device-tokens", { method: "POST", - Network accessline 55
const response = await fetch("https://api.example.com/device-tokens", {
skills/push-notification-setup/references/ios-native-setup-with-swift.md
skills/push-notification-setup/scripts/validate-api.sh
- Executable scriptline 1
#!/bin/bash
skills/query-caching-strategies/scripts/validate-schema.sh
- Executable scriptline 1
#!/bin/bash
skills/rate-limiting-implementation/references/sliding-window-algorithm-python.md
skills/rate-limiting-implementation/scripts/validate-api.sh
- Executable scriptline 1
#!/bin/bash
skills/react-component-architecture/references/render-props-pattern.md
skills/react-component-architecture/templates/component-template.tsx
- Executable scriptline 1
Executable file
skills/react-native-app/references/api-integration-with-axios.md
- Network accessline 9
const apiClient = axios.create({ baseURL: "https://api.example.com", - Network accessline 10
baseURL: "https://api.example.com", - Network accessline 35
const refreshToken = await AsyncStorage.getItem("refreshToken"); const { data } = await axios.post( "https://api.example.com/auth/refresh", - Network accessline 36
const { data } = await axios.post( "https://api.example.com/auth/refresh", { refreshToken }, - Network accessline 37
"https://api.example.com/auth/refresh",
skills/react-native-app/references/functional-component-with-hooks.md
- Network accessline 26
try { setLoading(true); const response = await fetch(`https://api.example.com/items/${itemId}`); - Network accessline 27
setLoading(true); const response = await fetch(`https://api.example.com/items/${itemId}`); const data = await response.json(); - Network accessline 28
const response = await fetch(`https://api.example.com/items/${itemId}`);
skills/react-native-app/references/state-management-with-redux.md
skills/react-native-app/templates/component-template.tsx
- Executable scriptline 1
Executable file
skills/reactive-programming/references/search-with-debounce.md
- Network accessline 24
return fetch(`/api/search?q=${query}`)
skills/reactive-programming/templates/component-template.tsx
- Executable scriptline 1
Executable file
skills/real-time-features/references/server-sent-events-sse.md
- Network accessline 150
// Usage const client = new SSEClient(); client.connect("http://localhost:3000/events", { - Network accessline 151
const client = new SSEClient(); client.connect("http://localhost:3000/events", { onMessage: (data) => { - Network accessline 152
client.connect("http://localhost:3000/events", {
skills/real-time-features/references/socketio-production-ready.md
- Network accessline 11
const io = new Server(httpServer, { cors: { origin: process.env.CLIENT_URL || "http://localhost:3000", - Network accessline 12
cors: { origin: process.env.CLIENT_URL || "http://localhost:3000", methods: ["GET", "POST"], - Network accessline 13
origin: process.env.CLIENT_URL || "http://localhost:3000",
skills/real-time-features/scripts/validate-api.sh
- Executable scriptline 1
#!/bin/bash
skills/recommendation-engine/scripts/scaffold-analysis.sh
- Executable scriptline 1
#!/bin/bash
skills/recommendation-engine/templates/notebook-template.py
- Executable scriptline 1
Executable file
skills/recommendation-system/scripts/scaffold-analysis.sh
- Executable scriptline 1
#!/bin/bash
skills/recommendation-system/templates/notebook-template.py
- Executable scriptline 1
Executable file
skills/refactor-legacy-code/scripts/scaffold-tests.sh
- Executable scriptline 1
#!/bin/bash
skills/refactor-legacy-code/templates/test-template.js
- Executable scriptline 1
Executable file
skills/regression-modeling/scripts/scaffold-analysis.sh
- Executable scriptline 1
#!/bin/bash
skills/regression-modeling/templates/notebook-template.py
- Executable scriptline 1
Executable file
skills/responsive-web-design/templates/component-template.tsx
- Executable scriptline 1
Executable file
skills/rest-api-design/references/http-status-codes.md
skills/rest-api-design/scripts/validate-api.sh
- Executable scriptline 1
#!/bin/bash
skills/root-cause-analysis/scripts/validate-schema.sh
- Executable scriptline 1
#!/bin/bash
skills/ruby-rails-application/scripts/validate-schema.sh
- Executable scriptline 1
#!/bin/bash
skills/runbook-creation/references/investigation-steps.md
- Network accessline 19
# 3. Check application endpoints curl -v https://api.example.com/health - Network accessline 20
curl -v https://api.example.com/health - Network accessline 21
curl -v https://api.example.com/api/v1/status - Network accessline 45
# 4. Check network connectivity kubectl exec -it deployment/api -n production -- \ curl -v https://database.example.com:5432 - Network accessline 46
kubectl exec -it deployment/api -n production -- curl -v https://database.example.com:5432 - Network accessline 47
curl -v https://database.example.com:5432
skills/runbook-creation/references/verification.md
- Network accessline 6
# 1. Check health endpoint curl https://api.example.com/health - Network accessline 7
curl https://api.example.com/health - Network accessline 10
# 2. Check API endpoints curl https://api.example.com/api/v1/users - Network accessline 11
curl https://api.example.com/api/v1/users - Network accessline 14
# 3. Check metrics # Visit https://grafana.example.com - Network accessline 15
# Visit https://grafana.example.com
skills/runbook-creation/scripts/validate-api.sh
- Executable scriptline 1
#!/bin/bash
skills/secrets-management/SKILL.md
skills/secrets-management/references/hashicorp-vault-setup.md
skills/secrets-management/references/kubernetes-secrets.md
skills/secrets-management/references/vault-kubernetes-integration.md
- Network accessline 62
env: - name: VAULT_CLUSTER_ADDR value: "https://127.0.0.1:8201" - Network accessline 63
- name: VAULT_CLUSTER_ADDR value: "https://127.0.0.1:8201" - name: VAULT_API_ADDR - Network accessline 64
value: "https://127.0.0.1:8201" - Network accessline 65
- name: VAULT_API_ADDR value: "https://127.0.0.1:8200" - name: VAULT_SKIP_VERIFY - Network accessline 66
value: "https://127.0.0.1:8200" - Network accessline 142
api_addr = "https://vault:8200" - Network accessline 143
cluster_addr = "https://vault:8201"
skills/secrets-management/references/vault-secret-configuration.md
- Network accessline 11
VAULT_ADDR="https://vault:8200" - Access to secretsline 12
[Credential-related source omitted] - Access to secretsline 15
[Credential-related source omitted] - Network accessline 40
[Credential-related source omitted] - Network accessline 42
aws_access_key="AKIAIOSFODNN7EXAMPLE" \ aws_secret_key="wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY" \ slack_webhook="https://hooks.slack.com/services/..." - Network accessline 44
slack_webhook="https://hooks.slack.com/services/..."
skills/secrets-management/scripts/validate-config.sh
- Executable scriptline 1
#!/bin/bash
skills/secrets-rotation/SKILL.md
skills/secrets-rotation/references/kubernetes-secrets-rotation.md
skills/secrets-rotation/references/nodejs-secrets-manager-with-rotation.md
skills/secrets-rotation/references/python-secrets-rotation-with-vault.md
- Access to secretsline 20
[Credential-related source omitted] - Access to secretsline 22
[Credential-related source omitted] - Access to secretsline 36
[Credential-related source omitted] - Network accessline 153
if __name__ == '__main__': rotation = SecretsRotation( vault_url='http://localhost:8200', - Network accessline 154
[Credential-related source omitted] - Network accessline 155
vault_url='http://localhost:8200', - Access to secretsline 160
[Credential-related source omitted]
skills/secrets-rotation/scripts/security-checklist.sh
- Executable scriptline 1
#!/bin/bash
skills/security-audit-logging/scripts/security-checklist.sh
- Executable scriptline 1
#!/bin/bash
skills/security-compliance-audit/references/nodejs-compliance-automation.md
skills/security-compliance-audit/scripts/security-checklist.sh
- Executable scriptline 1
#!/bin/bash
skills/security-documentation/scripts/security-checklist.sh
- Executable scriptline 1
#!/bin/bash
skills/security-headers-configuration/SKILL.md
- Network accessline 48
"'self'", "'unsafe-inline'", // Remove in production "https://cdn.example.com", - Network accessline 49
"'unsafe-inline'", // Remove in production "https://cdn.example.com", "https://www.google-analytics.com", - Network accessline 50
"https://cdn.example.com", - Network accessline 51
"https://www.google-analytics.com", - Network accessline 54
"'self'", "'unsafe-inline'", "https://fonts.googleapis.com", - Network accessline 55
"'unsafe-inline'", "https://fonts.googleapis.com", ], - Network accessline 56
"https://fonts.googleapis.com", - Network accessline 57
], fontSrc: ["'self'", "https://fonts.gstatic.com"], imgSrc: ["'self'", "data:", "https:", "blob:"], - Network accessline 58
fontSrc: ["'self'", "https://fonts.gstatic.com"], - Network accessline 59
imgSrc: ["'self'", "data:", "https:", "blob:"], connectSrc: ["'self'", "https://api.example.com"], // ... (see reference guides for full implementation) - Network accessline 60
connectSrc: ["'self'", "https://api.example.com"],
skills/security-headers-configuration/references/apache-htaccess-configuration.md
- Network accessline 26
# Content Security Policy Header always set Content-Security-Policy "default-src 'self'; script-src 'self' https://cdn.example.com; style-src 'self' 'unsafe-inline'; img-src 'self' data: https:; frame-ancestors 'none'" - Network accessline 27
Header always set Content-Security-Policy "default-src 'self'; script-src 'self' https://cdn.example.com; style-src 'self' 'unsafe-inline'; img-src 'self' data: https:; frame-ancestors 'none'" - Network accessline 40
RewriteEngine On RewriteCond %{HTTPS} off RewriteRule ^(.*)$ https://%{HTTP_HOST}%{REQUEST_URI} [L,R=301] - Network accessline 42
RewriteRule ^(.*)$ https://%{HTTP_HOST}%{REQUEST_URI} [L,R=301]
skills/security-headers-configuration/references/nginx-security-headers-configuration.md
- Network accessline 27
# Content Security Policy add_header Content-Security-Policy "default-src 'self'; script-src 'self' https://cdn.example.com; style-src 'self' 'unsafe-inline' https://fonts.googleapis.com; font-src 'self' https://fonts.gstatic.com; img-s - Network accessline 28
add_header Content-Security-Policy "default-src 'self'; script-src 'self' https://cdn.example.com; style-src 'self' 'unsafe-inline' https://fonts.googleapis.com; font-src 'self' https://fonts.gstatic.com; img-src 'self' data: https:; connec - Network accessline 46
# API endpoints location /api/ { proxy_pass http://backend:3000; - Network accessline 47
location /api/ { proxy_pass http://backend:3000; proxy_set_header Host $host; - Network accessline 48
proxy_pass http://backend:3000; - Network accessline 62
listen 80; server_name example.com; return 301 https://$server_name$request_uri; - Network accessline 63
server_name example.com; return 301 https://$server_name$request_uri; } - Network accessline 64
return 301 https://$server_name$request_uri;
skills/security-headers-configuration/references/nodejsexpress-security-headers.md
- Network accessline 18
"'self'", "'unsafe-inline'", // Remove in production "https://cdn.example.com", - Network accessline 19
"'unsafe-inline'", // Remove in production "https://cdn.example.com", "https://www.google-analytics.com", - Network accessline 20
"https://cdn.example.com", - Network accessline 21
"https://www.google-analytics.com", - Network accessline 24
"'self'", "'unsafe-inline'", "https://fonts.googleapis.com", - Network accessline 25
"'unsafe-inline'", "https://fonts.googleapis.com", ], - Network accessline 26
"https://fonts.googleapis.com", - Network accessline 27
], fontSrc: ["'self'", "https://fonts.gstatic.com"], imgSrc: ["'self'", "data:", "https:", "blob:"], - Network accessline 28
fontSrc: ["'self'", "https://fonts.gstatic.com"], - Network accessline 29
imgSrc: ["'self'", "data:", "https:", "blob:"], connectSrc: ["'self'", "https://api.example.com"], frameSrc: ["'none'"], - Network accessline 30
connectSrc: ["'self'", "https://api.example.com"],
skills/security-headers-configuration/references/python-flask-security-headers.md
- Network accessline 38
csp = { "default-src": ["'self'"], "script-src": ["'self'", "https://cdn.example.com"], - Network accessline 39
"default-src": ["'self'"], "script-src": ["'self'", "https://cdn.example.com"], "style-src": ["'self'", "'unsafe-inline'"], - Network accessline 40
"script-src": ["'self'", "https://cdn.example.com"], - Network accessline 42
"img-src": ["'self'", "data:", "https:"], "font-src": ["'self'"], "connect-src": ["'self'", "https://api.example.com"], - Network accessline 43
"font-src": ["'self'"], "connect-src": ["'self'", "https://api.example.com"], "frame-ancestors": ["'none'"], - Network accessline 44
"connect-src": ["'self'", "https://api.example.com"],
skills/security-headers-configuration/references/security-headers-testing-script.md
skills/security-headers-configuration/scripts/security-checklist.sh
- Executable scriptline 1
#!/bin/bash
skills/security-testing/SKILL.md
- Network accessline 44
[Credential-related source omitted] - Access to secretsline 44
[Credential-related source omitted] - Network accessline 45
[Credential-related source omitted] - Access to secretsline 45
[Credential-related source omitted] - Network accessline 46
'http': 'http://localhost:8080', - Network accessline 47
'https': 'http://localhost:8080'
skills/security-testing/references/dependency-vulnerability-scanning.md
skills/security-testing/references/owasp-zap-dast.md
- Network accessline 11
[Credential-related source omitted] - Access to secretsline 11
[Credential-related source omitted] - Network accessline 12
[Credential-related source omitted] - Access to secretsline 12
[Credential-related source omitted] - Network accessline 13
'http': 'http://localhost:8080', - Network accessline 14
'https': 'http://localhost:8080' - Network accessline 83
# Usage scanner = SecurityScanner('http://localhost:3000') - Network accessline 84
scanner = SecurityScanner('http://localhost:3000')
skills/security-testing/references/secrets-detection.md
skills/security-testing/scripts/security-checklist.sh
- Executable scriptline 1
#!/bin/bash
skills/semantic-versioning/SKILL.md
- Network accessline 41
"description": "An awesome package", "main": "dist/index.js", "repository": { "type": "git", "url": "https://github.com/org/repo.git" }, - Network accessline 42
"main": "dist/index.js", "repository": { "type": "git", "url": "https://github.com/org/repo.git" }, "scripts": { "release": "semantic-release" }, - Network accessline 43
"repository": { "type": "git", "url": "https://github.com/org/repo.git" },
skills/semantic-versioning/references/changelog-generation.md
skills/semantic-versioning/references/semantic-versioning-configuration.md
- Network accessline 10
"description": "An awesome package", "main": "dist/index.js", "repository": { "type": "git", "url": "https://github.com/org/repo.git" }, - Network accessline 11
"main": "dist/index.js", "repository": { "type": "git", "url": "https://github.com/org/repo.git" }, "scripts": { "release": "semantic-release" }, - Network accessline 12
"repository": { "type": "git", "url": "https://github.com/org/repo.git" },
skills/semantic-versioning/scripts/validate-api.sh
- Executable scriptline 1
#!/bin/bash
skills/sentiment-analysis/scripts/scaffold-analysis.sh
- Executable scriptline 1
#!/bin/bash
skills/sentiment-analysis/templates/notebook-template.py
- Executable scriptline 1
Executable file
skills/server-side-rendering/scripts/validate-schema.sh
- Executable scriptline 1
#!/bin/bash
skills/serverless-architecture/scripts/validate-config.sh
- Executable scriptline 1
#!/bin/bash
skills/service-mesh-implementation/references/security-policies.md
- Network accessline 51
app: api-service jwtRules: - issuer: https://auth.mycompany.com - Network accessline 52
jwtRules: - issuer: https://auth.mycompany.com jwksUri: https://auth.mycompany.com/.well-known/jwks.json - Network accessline 53
- issuer: https://auth.mycompany.com - Network accessline 54
jwksUri: https://auth.mycompany.com/.well-known/jwks.json
skills/service-mesh-implementation/references/service-mesh-deployment-script.md
- Network accessline 17
if [ ! -d "istio-$VERSION" ]; then echo "Downloading Istio..." curl -L https://istio.io/downloadIstio | ISTIO_VERSION=$VERSION sh - - Network accessline 18
echo "Downloading Istio..." curl -L https://istio.io/downloadIstio | ISTIO_VERSION=$VERSION sh - fi - Network accessline 19
curl -L https://istio.io/downloadIstio | ISTIO_VERSION=$VERSION sh -
skills/service-mesh-implementation/scripts/security-checklist.sh
- Executable scriptline 1
#!/bin/bash
skills/session-management/SKILL.md
- Access to secretsline 45
[Credential-related source omitted]
skills/session-management/references/csrf-protection.md
- Network accessline 27
# JavaScript client async function login(email, password) { const response = await fetch('/csrf-token'); - Network accessline 28
async function login(email, password) { const response = await fetch('/csrf-token'); const { csrfToken } = await response.json(); - Network accessline 29
const response = await fetch('/csrf-token'); - Network accessline 32
return fetch('/login', {
skills/session-management/references/jwt-token-generation-and-validation.md
- Access to secretsline 14
[Credential-related source omitted] - Access to secretsline 32
[Credential-related source omitted] - Access to secretsline 44
[Credential-related source omitted] - Access to secretsline 65
[Credential-related source omitted] - Access to secretsline 71
[Credential-related source omitted] - Access to secretsline 77
[Credential-related source omitted]
skills/session-management/references/nodejsexpress-jwt-implementation.md
- Access to secretsline 13
[Credential-related source omitted]
skills/session-management/references/session-middleware-chain.md
skills/session-management/references/token-refresh-endpoint.md
- Access to secretsline 19
[Credential-related source omitted]
skills/session-management/scripts/security-checklist.sh
- Executable scriptline 1
#!/bin/bash
skills/spring-boot-application/references/application-configuration.md
- Access to secretsline 23
[Credential-related source omitted]
skills/spring-boot-application/scripts/security-checklist.sh
- Executable scriptline 1
#!/bin/bash
skills/sql-injection-prevention/scripts/validate-schema.sh
- Executable scriptline 1
#!/bin/bash
skills/sql-query-optimization/scripts/validate-schema.sh
- Executable scriptline 1
#!/bin/bash
skills/ssl-certificate-management/SKILL.md
skills/ssl-certificate-management/references/automated-certificate-renewal.md
skills/ssl-certificate-management/references/certificate-pinning.md
skills/ssl-certificate-management/references/lets-encrypt-with-cert-manager.md
skills/ssl-certificate-management/scripts/validate-config.sh
- Executable scriptline 1
#!/bin/bash
skills/static-code-analysis/references/pre-commit-hooks.md
- Network accessline 6
# .pre-commit-config.yaml repos: - repo: https://github.com/pre-commit/pre-commit-hooks - Network accessline 7
repos: - repo: https://github.com/pre-commit/pre-commit-hooks rev: v4.4.0 - Network accessline 8
- repo: https://github.com/pre-commit/pre-commit-hooks - Network accessline 18
- repo: https://github.com/pre-commit/mirrors-eslint - Network accessline 25
- repo: https://github.com/psf/black - Network accessline 30
- repo: https://github.com/PyCQA/pylint - Network accessline 35
- repo: https://github.com/pre-commit/mirrors-mypy - Network accessline 41
- repo: https://github.com/trufflesecurity/trufflehog
skills/static-code-analysis/scripts/security-checklist.sh
- Executable scriptline 1
#!/bin/bash
skills/statistical-hypothesis-testing/scripts/scaffold-analysis.sh
- Executable scriptline 1
#!/bin/bash
skills/statistical-hypothesis-testing/templates/notebook-template.py
- Executable scriptline 1
Executable file
skills/stored-procedures/scripts/validate-schema.sh
- Executable scriptline 1
#!/bin/bash
skills/stress-testing/references/auto-scaling-validation.md
- Network accessline 10
test.describe("Auto-scaling Stress Test", () => { test("system should scale up under load", async () => { const baseUrl = "http://api.example.com"; - Network accessline 11
test("system should scale up under load", async () => { const baseUrl = "http://api.example.com"; const cloudwatch = new AWS.CloudWatch(); - Network accessline 12
const baseUrl = "http://api.example.com"; - Network accessline 20
const requests = []; for (let i = 0; i < 1000; i++) { requests.push( - Network accessline 21
for (let i = 0; i < 1000; i++) { requests.push( axios - Network accessline 22
requests.push(
skills/stress-testing/references/breaking-point-analysis.md
- Network accessline 23
start = time.time() try: response = requests.get(self.url, timeout=10) - Network accessline 24
try: response = requests.get(self.url, timeout=10) duration = time.time() - start - Network accessline 25
response = requests.get(self.url, timeout=10) - Network accessline 97
# Run test = BreakingPointTest('http://api.example.com/products') - Network accessline 98
test = BreakingPointTest('http://api.example.com/products')
skills/stress-testing/references/k6-stress-testing.md
- Network accessline 33
const BASE_URL = __ENV.BASE_URL || "http://localhost:3000";
skills/stress-testing/references/soakendurance-testing.md
- Network accessline 74
async with aiohttp.ClientSession() as session: - Network accessline 151
if __name__ == '__main__': test = SoakTest( url='http://api.example.com/products', - Network accessline 152
test = SoakTest( url='http://api.example.com/products', duration_hours=4, - Network accessline 153
url='http://api.example.com/products',
skills/stress-testing/references/spike-testing.md
skills/stress-testing/scripts/scaffold-tests.sh
- Executable scriptline 1
#!/bin/bash
skills/stress-testing/templates/test-template.js
- Executable scriptline 1
Executable file
skills/survival-analysis/scripts/scaffold-analysis.sh
- Executable scriptline 1
#!/bin/bash
skills/survival-analysis/templates/notebook-template.py
- Executable scriptline 1
Executable file
skills/synthetic-monitoring/SKILL.md
- Network accessline 39
class SyntheticMonitor { constructor(config = {}) { this.baseUrl = config.baseUrl || "https://app.example.com"; - Network accessline 40
constructor(config = {}) { this.baseUrl = config.baseUrl || "https://app.example.com"; this.timeout = config.timeout || 30000; - Network accessline 41
this.baseUrl = config.baseUrl || "https://app.example.com";
skills/synthetic-monitoring/references/api-synthetic-tests.md
- Network accessline 9
class APISyntheticTests { constructor(config = {}) { this.baseUrl = config.baseUrl || "https://api.example.com"; - Network accessline 10
constructor(config = {}) { this.baseUrl = config.baseUrl || "https://api.example.com"; this.client = axios.create({ baseURL: this.baseUrl }); - Network accessline 11
this.baseUrl = config.baseUrl || "https://api.example.com";
skills/synthetic-monitoring/references/scheduled-synthetic-monitoring.md
- Network accessline 70
async recordResults(testName, metrics) { try { await axios.post("http://monitoring-service/synthetic-results", { - Network accessline 71
try { await axios.post("http://monitoring-service/synthetic-results", { testName, - Network accessline 72
await axios.post("http://monitoring-service/synthetic-results", { - Network accessline 83
async sendAlert(testName, metrics) { try { await axios.post("http://alerting-service/alerts", { - Network accessline 84
try { await axios.post("http://alerting-service/alerts", { type: "synthetic_monitoring", - Network accessline 85
await axios.post("http://alerting-service/alerts", {
skills/synthetic-monitoring/references/synthetic-tests-with-playwright.md
- Network accessline 9
class SyntheticMonitor { constructor(config = {}) { this.baseUrl = config.baseUrl || "https://app.example.com"; - Network accessline 10
constructor(config = {}) { this.baseUrl = config.baseUrl || "https://app.example.com"; this.timeout = config.timeout || 30000; - Network accessline 11
this.baseUrl = config.baseUrl || "https://app.example.com"; - Network accessline 134
async recordMetrics(testName, metrics) { try { await axios.post("http://monitoring-service/synthetic-results", { - Network accessline 135
try { await axios.post("http://monitoring-service/synthetic-results", { testName, - Network accessline 136
await axios.post("http://monitoring-service/synthetic-results", {
skills/synthetic-monitoring/scripts/scaffold-tests.sh
- Executable scriptline 1
#!/bin/bash
skills/synthetic-monitoring/templates/test-template.js
- Executable scriptline 1
Executable file
skills/technical-roadmap-planning/scripts/validate-config.sh
- Executable scriptline 1
#!/bin/bash
skills/technical-specification/references/database-schema.md
- Access to secretsline 25
[Credential-related source omitted]
skills/terraform-infrastructure/scripts/validate-config.sh
- Executable scriptline 1
#!/bin/bash
skills/test-automation-framework/references/configuration-management.md
- Network accessline 25
const environments: Record<string, TestConfig> = { development: { baseUrl: "http://localhost:3000", - Network accessline 26
development: { baseUrl: "http://localhost:3000", apiUrl: "http://localhost:3001", - Network accessline 27
baseUrl: "http://localhost:3000", - Network accessline 28
apiUrl: "http://localhost:3001", - Network accessline 38
}, staging: { baseUrl: "https://staging.example.com", - Network accessline 39
staging: { baseUrl: "https://staging.example.com", apiUrl: "https://api-staging.example.com", - Network accessline 40
baseUrl: "https://staging.example.com", - Network accessline 41
apiUrl: "https://api-staging.example.com", - Network accessline 51
}, production: { baseUrl: "https://example.com", - Network accessline 52
production: { baseUrl: "https://example.com", apiUrl: "https://api.example.com", - Network accessline 53
baseUrl: "https://example.com", - Network accessline 54
apiUrl: "https://api.example.com",
skills/test-automation-framework/references/pytest-framework-python.md
- Access to secretsline 38
[Credential-related source omitted]
skills/test-automation-framework/scripts/scaffold-tests.sh
- Executable scriptline 1
#!/bin/bash
skills/test-automation-framework/templates/test-template.js
- Executable scriptline 1
Executable file
skills/test-data-generation/scripts/scaffold-tests.sh
- Executable scriptline 1
#!/bin/bash
skills/test-data-generation/templates/test-template.js
- Executable scriptline 1
Executable file
skills/third-party-integration/references/email-service-integration-sendgrid.md
- Access to secretsline 7
[Credential-related source omitted]
skills/third-party-integration/references/payment-processor-integration-stripe.md
skills/third-party-integration/references/python-third-party-integration.md
- Access to secretsline 15
[Credential-related source omitted] - Access to secretsline 16
[Credential-related source omitted] - Network accessline 17
self.base_url = base_url self.timeout = timeout self.session = requests.Session() - Network accessline 18
self.timeout = timeout self.session = requests.Session() self.session.headers.update({ - Network accessline 19
self.session = requests.Session() - Access to secretsline 21
[Credential-related source omitted] - Network accessline 51
if response.status_code >= 500 or response.status_code == 429: raise requests.RequestException(f"HTTP {response.status_code}") - Network accessline 52
raise requests.RequestException(f"HTTP {response.status_code}")
skills/third-party-integration/references/third-party-client-wrapper.md
skills/third-party-integration/scripts/validate-api.sh
- Executable scriptline 1
#!/bin/bash
skills/time-series-analysis/scripts/scaffold-analysis.sh
- Executable scriptline 1
#!/bin/bash
skills/time-series-analysis/templates/notebook-template.py
- Executable scriptline 1
Executable file
skills/transaction-management/scripts/validate-schema.sh
- Executable scriptline 1
#!/bin/bash
skills/troubleshooting-guide/SKILL.md
- Network accessline 45
Check our [Status Page](https://status.example.com) first. - Network accessline 50
# 1. Check service is running curl https://api.example.com/health - Network accessline 51
curl https://api.example.com/health - Network accessline 53
[Credential-related source omitted] - Network accessline 54
[Credential-related source omitted] - Access to secretsline 54
[Credential-related source omitted] - Network accessline 55
https://api.example.com/api/v1/status
skills/troubleshooting-guide/references/issue-authentication-failed.md
- Access to secretsline 33
[Credential-related source omitted] - Network accessline 39
[Credential-related source omitted] - Access to secretsline 39
[Credential-related source omitted] - Network accessline 40
https://api.example.com/api/v1/auth/verify - Network accessline 48
1. Log in to [Dashboard](https://dashboard.example.com) - Network accessline 57
// ✅ Correct const response = await fetch('https://api.example.com/api/v1/data', { - Network accessline 58
const response = await fetch('https://api.example.com/api/v1/data', {
skills/troubleshooting-guide/references/issue-connection-timeout.md
- Network accessline 28
# Test HTTPS connectivity curl -v https://api.example.com - Network accessline 29
curl -v https://api.example.com - Network accessline 31
# Test with timeout curl --max-time 10 https://api.example.com/health - Network accessline 32
curl --max-time 10 https://api.example.com/health - Network accessline 52
# Test if using proxy curl -v --proxy http://proxy.example.com:8080 \ - Network accessline 53
curl -v --proxy http://proxy.example.com:8080 \ - Network accessline 54
https://api.example.com - Network accessline 56
# Check if port 443 is open nc -zv api.example.com 443 - Network accessline 57
nc -zv api.example.com 443 - Network accessline 76
try { const response = await fetch("https://api.example.com/api/v1/data", { - Network accessline 77
const response = await fetch("https://api.example.com/api/v1/data", { - Network accessline 92
const agent = new HttpsProxyAgent("http://proxy.example.com:8080"); - Network accessline 94
fetch("https://api.example.com", { agent }); - Network accessline 100
# If primary endpoint fails, try alternative curl https://api-backup.example.com/health - Network accessline 101
curl https://api-backup.example.com/health
skills/troubleshooting-guide/references/issue-invalid-json-response.md
- Network accessline 23
[Credential-related source omitted] - Access to secretsline 23
[Credential-related source omitted] - Access to secretsline 24
[Credential-related source omitted] - Network accessline 35
const response = await fetch("https://api.example.com/api/v1/data"); - Network accessline 43
const response = await fetch("https://api.example.com/api/v1/data"); - Network accessline 60
async function fetchJSON(url, options) { const response = await fetch(url, options); - Network accessline 61
const response = await fetch(url, options); - Network accessline 83
const response = await fetch("https://api.example.com/api/v1/data");
skills/troubleshooting-guide/references/issue-rate-limit-exceeded.md
- Network accessline 34
for (let i = 0; i < maxRetries; i++) { try { const response = await fetch(url, options); - Network accessline 36
const response = await fetch(url, options); - Network accessline 60
const response = await fetch("https://api.example.com/api/v1/data", { - Network accessline 83
- Visit [Pricing](https://example.com/pricing)
skills/troubleshooting-guide/references/issue-slow-performance.md
- Network accessline 16
# Using curl time curl https://api.example.com/api/v1/data - Network accessline 17
time curl https://api.example.com/api/v1/data - Network accessline 19
# Detailed timing curl -w "@curl-format.txt" -o /dev/null -s \ - Network accessline 20
curl -w "@curl-format.txt" -o /dev/null -s \ - Network accessline 21
https://api.example.com/api/v1/data - Network accessline 37
curl -I https://api.example.com/api/v1/data - Network accessline 44
# Use online tools to test from different regions # - https://www.dotcom-tools.com/website-speed-test.aspx - Network accessline 45
# - https://www.dotcom-tools.com/website-speed-test.aspx - Network accessline 46
# - https://tools.pingdom.com/ - Network accessline 54
// ❌ Fetching all data at once const response = await fetch("/api/v1/users"); - Network accessline 55
const response = await fetch("/api/v1/users"); - Network accessline 58
// ✅ Fetch paginated data const response = await fetch("/api/v1/users?page=1&limit=50"); - Network accessline 59
const response = await fetch("/api/v1/users?page=1&limit=50"); - Network accessline 66
// ❌ Fetching all fields const response = await fetch("/api/v1/users/123"); - Network accessline 67
const response = await fetch("/api/v1/users/123"); - Network accessline 69
// ✅ Select only needed fields const response = await fetch("/api/v1/users/123?fields=id,name,email"); - Network accessline 70
const response = await fetch("/api/v1/users/123?fields=id,name,email"); - Network accessline 85
const response = await fetch(url); - Network accessline 100
// Use CDN endpoint for static assets const cdnUrl = "https://cdn.example.com/api/v1/data"; - Network accessline 101
const cdnUrl = "https://cdn.example.com/api/v1/data";
skills/troubleshooting-guide/scripts/validate-api.sh
- Executable scriptline 1
#!/bin/bash
skills/unit-testing-framework/references/mocking-test-doubles.md
skills/unit-testing-framework/scripts/scaffold-tests.sh
- Executable scriptline 1
#!/bin/bash
skills/unit-testing-framework/templates/test-template.js
- Executable scriptline 1
Executable file
skills/uptime-monitoring/references/health-check-endpoints.md
skills/uptime-monitoring/scripts/health-check.sh
- Executable scriptline 1
#!/bin/bash
skills/user-guide-creation/references/installation.md
- Network accessline 7
1. Visit [https://example.com/download](https://example.com/download) - Network accessline 38
# Download and install wget https://example.com/downloads/product-name.deb - Network accessline 39
wget https://example.com/downloads/product-name.deb - Dangerous shell operationline 40
sudo dpkg -i product-name.deb - Dangerous shell operationline 43
sudo apt-get install -f
skills/user-persona-creation/templates/component-template.tsx
- Executable scriptline 1
Executable file
skills/user-research-analysis/scripts/validate-api.sh
- Executable scriptline 1
#!/bin/bash
skills/user-story-writing/scripts/scaffold-tests.sh
- Executable scriptline 1
#!/bin/bash
skills/user-story-writing/templates/test-template.js
- Executable scriptline 1
Executable file
skills/visual-regression-testing/references/backstopjs-configuration.md
- Network accessline 27
{ label: "Homepage", url: "http://localhost:3000", - Network accessline 28
label: "Homepage", url: "http://localhost:3000", delay: 500, - Network accessline 29
url: "http://localhost:3000", - Network accessline 34
{ label: "Product List", url: "http://localhost:3000/products", - Network accessline 35
label: "Product List", url: "http://localhost:3000/products", delay: 1000, - Network accessline 36
url: "http://localhost:3000/products", - Network accessline 40
{ label: "Product Detail", url: "http://localhost:3000/products/123", - Network accessline 41
label: "Product Detail", url: "http://localhost:3000/products/123", clickSelector: ".size-guide-link", - Network accessline 42
url: "http://localhost:3000/products/123", - Network accessline 46
{ label: "Hover State", url: "http://localhost:3000", - Network accessline 47
label: "Hover State", url: "http://localhost:3000", hoverSelector: ".primary-button", - Network accessline 48
url: "http://localhost:3000",
skills/visual-regression-testing/templates/component-template.tsx
- Executable scriptline 1
Executable file
skills/vue-application-structure/references/async-data-fetching-composable.md
skills/vue-application-structure/references/form-handling-composable.md
skills/vue-application-structure/references/pinia-store-state-management.md
skills/vue-application-structure/templates/component-template.tsx
- Executable scriptline 1
Executable file
skills/vulnerability-scanning/scripts/validate-config.sh
- Executable scriptline 1
#!/bin/bash
skills/web-performance-audit/scripts/health-check.sh
- Executable scriptline 1
#!/bin/bash
skills/web-performance-optimization/references/http-caching-and-service-workers.md
- Network accessline 24
return fetch(event.request)
skills/web-performance-optimization/references/performance-monitoring.md
skills/web-performance-optimization/templates/component-template.tsx
- Executable scriptline 1
Executable file
skills/webhook-development/references/nodejs-webhook-service.md
- Access to secretsline 14
[Credential-related source omitted]
skills/webhook-development/references/python-webhook-handler.md
skills/webhook-development/scripts/validate-schema.sh
- Executable scriptline 1
#!/bin/bash
skills/webhook-integration/references/webhook-receiver-express.md
- Access to secretsline 106
[Credential-related source omitted]
skills/webhook-integration/references/webhook-sender-typescript.md
skills/webhook-integration/references/webhook-testing-utilities.md
skills/webhook-integration/scripts/validate-pipeline.sh
- Executable scriptline 1
#!/bin/bash
skills/websocket-implementation/references/browser-websocket-client.md
skills/websocket-implementation/scripts/validate-api.sh
- Executable scriptline 1
#!/bin/bash
skills/wireframe-prototyping/templates/component-template.tsx
- Executable scriptline 1
Executable file
skills/xss-prevention/SKILL.md
- Dangerous shell operationline 95
- Use eval()
skills/xss-prevention/references/content-security-policy.md
- Network accessline 17
"'self'", "'nonce-RANDOM_NONCE'", // Use dynamic nonces "https://cdn.example.com", - Network accessline 18
"'nonce-RANDOM_NONCE'", // Use dynamic nonces "https://cdn.example.com", ], - Network accessline 19
"https://cdn.example.com", - Network accessline 24
"'self'", "'nonce-RANDOM_NONCE'", "https://fonts.googleapis.com", - Network accessline 25
"'nonce-RANDOM_NONCE'", "https://fonts.googleapis.com", ], - Network accessline 26
"https://fonts.googleapis.com",
skills/xss-prevention/references/react-xss-prevention.md
- Network accessline 73
await fetch("/api/comments", {
skills/xss-prevention/templates/component-template.tsx
- Executable scriptline 1
Executable file
skills/zero-trust-architecture/SKILL.md
- Access to secretsline 55
[Credential-related source omitted]
skills/zero-trust-architecture/references/service-mesh-microsegmentation.md
- Network accessline 75
app: backend jwtRules: - issuer: "https://auth.example.com" - Network accessline 76
jwtRules: - issuer: "https://auth.example.com" jwksUri: "https://auth.example.com/.well-known/jwks.json" - Network accessline 77
- issuer: "https://auth.example.com" - Network accessline 78
jwksUri: "https://auth.example.com/.well-known/jwks.json"
skills/zero-trust-architecture/references/zero-trust-gateway.md
- Access to secretsline 23
[Credential-related source omitted]
skills/zero-trust-architecture/scripts/validate-pipeline.sh
- Executable scriptline 1
#!/bin/bash
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.
Combined signals: 1 fact
- Passes content downloaded from aka.ms to an interpreterazure-functions/SKILL.md:40High confidence
Signal confidence: 499 facts
- Executable script in code of a file that runsab-test-analysis/scripts/scaffold-analysis.sh:1High confidence
- Executable script in a comment of a file that runsab-test-analysis/templates/notebook-template.py:1Low confidence
- Executable script in code of a file that runsaccess-control-rbac/scripts/security-checklist.sh:1High confidence
- Executable script in a comment of a file that runsaccessibility-compliance/templates/component-template.tsx:1Low confidence
- Network access in code of documentationaccessibility-testing/references/python-with-selenium-and-axe.md:21Low confidence
- Network access in code of documentationaccessibility-testing/references/python-with-selenium-and-axe.md:23Low confidence
- Network access in code of documentationaccessibility-testing/references/python-with-selenium-and-axe.md:35Low confidence
- Network access in code of documentationaccessibility-testing/references/python-with-selenium-and-axe.md:37Low confidence
- Network access in code of documentationaccessibility-testing/references/python-with-selenium-and-axe.md:59Low confidence
- Executable script in code of a file that runsaccessibility-testing/scripts/scaffold-tests.sh:1High confidence
- Executable script in a comment of a file that runsaccessibility-testing/templates/test-template.js:1Low confidence
- Network access in code of the SKILL.mdalert-management/SKILL.md:40High confidence
- Network access in code of the SKILL.mdalert-management/SKILL.md:41High confidence
- Network access in code of the SKILL.mdalert-management/SKILL.md:42High confidence
- Network access in code of the SKILL.mdalert-management/SKILL.md:43High confidence
- Access to secrets in code of documentation: a variable, placeholder or call, not a stored valuealert-management/references/alert-handler-middleware.md:9Low confidence
- Access to secrets in code of documentation: a variable, placeholder or call, not a stored valuealert-management/references/alertmanager-configuration.md:45Low confidence
- Access to secrets in code of documentation: a variable, placeholder or call, not a stored valuealert-management/references/alertmanager-configuration.md:55Low confidence
- Access to secrets in code of documentation: a variable, placeholder or call, not a stored valuealert-management/references/docker-compose-alert-stack.md:24Low confidence
- Access to secrets in code of documentation: a variable, placeholder or call, not a stored valuealert-management/references/docker-compose-alert-stack.md:31Low confidence
- Network access in code of documentationalert-management/references/pagerduty-client-integration.md:10Low confidence
- Network access in code of documentationalert-management/references/pagerduty-client-integration.md:11Low confidence
- Network access in code of documentationalert-management/references/pagerduty-client-integration.md:12Low confidence
- Network access in code of documentationalert-management/references/pagerduty-client-integration.md:13Low confidence
- Access to secrets in code of documentation: a variable, placeholder or call, not a stored valuealert-management/references/pagerduty-client-integration.md:50Low confidence
- Executable script in code of a file that runsalert-management/scripts/validate-api.sh:1High confidence
- Network access in code of documentationandroid-kotlin-development/references/models-api-service.md:64Low confidence
- Network access in code of documentationandroid-kotlin-development/references/models-api-service.md:65Low confidence
- Executable script in code of a file that runsandroid-kotlin-development/scripts/validate-api.sh:1High confidence
- Network access in code of documentationangular-module-design/references/dependency-injection-and-providers.md:15Low confidence
- Network access in code of documentationangular-module-design/references/dependency-injection-and-providers.md:16Low confidence
- Network access in code of documentationangular-module-design/references/dependency-injection-and-providers.md:17Low confidence
- Executable script in a comment of a file that runsangular-module-design/templates/component-template.tsx:1Low confidence
- Executable script in code of a file that runsanomaly-detection/scripts/scaffold-analysis.sh:1High confidence
- Executable script in a comment of a file that runsanomaly-detection/templates/notebook-template.py:1Low confidence
- Network access in code of the SKILL.mdansible-automation/SKILL.md:58High confidence
- Network access in code of the SKILL.mdansible-automation/SKILL.md:59High confidence
- Network access in code of the SKILL.mdansible-automation/SKILL.md:60High confidence
- Access to secrets in code of documentation: a variable, placeholder or call, not a stored valueansible-automation/references/configuration-template.md:32Low confidence
- Access to secrets in code of documentation: reads a credential storeansible-automation/references/inventory-and-variables.md:18Low confidence
- Network access in code of documentationansible-automation/references/inventory-and-variables.md:22Low confidence
- Network access in code of documentationansible-automation/references/inventory-and-variables.md:23Low confidence
- Network access in code of documentationansible-automation/references/inventory-and-variables.md:24Low confidence
- Network access in code of documentationansible-automation/references/playbook-structure-and-best-practices.md:25Low confidence
- Network access in code of documentationansible-automation/references/playbook-structure-and-best-practices.md:26Low confidence
- Network access in code of documentationansible-automation/references/playbook-structure-and-best-practices.md:27Low confidence
- Network access in code of documentationansible-automation/references/playbook-structure-and-best-practices.md:46Low confidence
- Network access in code of documentationansible-automation/references/playbook-structure-and-best-practices.md:47Low confidence
- Network access in code of documentationansible-automation/references/playbook-structure-and-best-practices.md:83Low confidence
- Network access in code of documentationansible-automation/references/playbook-structure-and-best-practices.md:84Low confidence
and 449 more
Only the first 500 facts are listed.
Works with
| Agent | Status | Evidence | Install to |
|---|---|---|---|
| Claude Code | Native | Path CLAUDE.md | .claude/skills/<skill-name>/ |
| Codex | Compatible | Standard SKILL.md skills/access-control-rbac/SKILL.md | .agents/skills/<skill-name>/ |
| Cursor | Compatible | Standard SKILL.md skills/access-control-rbac/SKILL.md | .cursor/skills/<skill-name>/ |
| Gemini CLI | Compatible | Standard SKILL.md skills/access-control-rbac/SKILL.md | .gemini/skills/<skill-name>/ |
| GitHub Copilot | Compatible | Standard SKILL.md skills/access-control-rbac/SKILL.md | .github/skills/<skill-name>/ |
| OpenCode | Compatible | Standard SKILL.md skills/access-control-rbac/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.