#976 by GitHub stars
alirezarezvani/claude-code-skill-factory
Claude Code Skill Factory — A powerful open-source toolkit for building and deploying production-ready Claude Skills, Code Agents, custom Slash Commands, and LLM Prompts at scale. Easily generate structured skill templates, automate workflow integration, and accelerate AI agent development with a clean, developer-friendly setup.
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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Verified commit ba18b31703542d9d7eda5f9ba94f0df65a59dddf
git clone --filter=blob:none --no-checkout https://github.com/alirezarezvani/claude-code-skill-factory.git .hotskills/alirezarezvani-claude-code-skill-factory && git -C .hotskills/alirezarezvani-claude-code-skill-factory checkout --detach ba18b31703542d9d7eda5f9ba94f0df65a59dddf
# Copy each selected skill directory from .hotskills/alirezarezvani-claude-code-skill-factory into .claude/skills/<skill-name>/Heat
0.1- Star growth, last 7 daysAhead of 2% of tracked repositories
- Star growth, last 24 hoursAhead of 3% of tracked repositories
- Rank movement, last 7 daysAhead of 1% of tracked repositories
- Commits, last 30 daysAhead of 0% of tracked repositories
- Accounts asking about it through MCP, last 7 daysNot available
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Heat never changes the order by stars, and sponsorship never touches it. How heat works
Stars over time
Individual skills in this repository
- agent-factory
generated-skills/agent-factory - app-store-optimization
generated-skills/app-store-optimization - aws-solution-architect
generated-skills/aws-solution-architect - claude-md-enhancer
generated-skills/claude-md-enhancer - codex-cli-bridge
generated-skills/codex-cli-bridge - content-trend-researcher
generated-skills/content-trend-researcher - hook-factory
generated-skills/hook-factory - ms365-tenant-manager
generated-skills/ms365-tenant-manager - prompt-factory
generated-skills/prompt-factory - scrum-master-agent
generated-skills/scrum-master-agent - slash-command-factory
generated-skills/slash-command-factory - social-media-analyzer
generated-skills/social-media-analyzer - tdd-guide
generated-skills/tdd-guide - tech-stack-evaluator
generated-skills/tech-stack-evaluator
How it works
agent-factory
When your agent uses it
Claude Code agent generation system that creates custom agents and sub-agents with enhanced YAML frontmatter, tool access patterns, and MCP integration support following proven production patterns
What it loads into context
Frontmatter
39 tokensAlways available to the agent
SKILL.md
1,977 tokensWhen the skill is activated
Reference documents
11,189 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- What This Skill Does
- Agent Types Supported
- Enhanced YAML Frontmatter
- How to Use
- Generated Agent Structure
- Integration Workflows
- MCP Tool Integration
- Safety & Performance
- Best Practices
- Limitations
- Installation
- When to Use This Skill
Scripts executed separately
agent_generator.py
Files
../../documentation/templates/AGENTS_FACTORY_PROMPT.mddoc30,047 bytesHOW_TO_USE.mddoc9,355 bytesSKILL.mdcore8,172 bytesSKILL.mdcore8,172 bytesSKILL.mdcore8,172 bytesSKILL.mdcore8,172 bytesagent_generator.pyruns8,192 bytesexpected_output.jsonasset1,910 bytesgenerated-agents/software-architect.mddoc6,855 bytessample_input.jsonasset1,362 bytes
Read SKILL.md
# Agent Factory
A comprehensive system for generating production-ready Claude Code agents and sub-agents. This skill provides templates, standards, and generation tools to create custom agents that seamlessly integrate with Claude Code's agent system.
## What This Skill Does
This skill helps you create custom Claude Code agents for any domain or workflow. It generates properly formatted agent files that Claude Code can automatically discover and invoke when relevant.
### Capabilities
1. **Generate Custom Agents** - Create specialized agents for any domain (frontend, backend, testing, product, etc.)
2. **Enhanced YAML Frontmatter** - Rich metadata including color coding, field categorization, expertise levels
3. **Tool Access Guidance** - Recommends optimal tool configurations based on agent type
4. **MCP Integration** - Suggests relevant MCP server tools for enhanced capabilitiesView the complete source on GitHubapp-store-optimization
When your agent uses it
Complete App Store Optimization (ASO) toolkit for researching, optimizing, and tracking mobile app performance on Apple App Store and Google Play Store
What it loads into context
Frontmatter
36 tokensAlways available to the agent
SKILL.md
3,564 tokensWhen the skill is activated
Reference documents
5,462 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Capabilities
- Input Requirements
- Output Formats
- How to Use
- Scripts
- Best Practices
- Limitations
- Integration with Other Skills
- Version & Updates
Scripts executed separately
ab_test_planner.pyaso_scorer.pycompetitor_analyzer.pykeyword_analyzer.pylaunch_checklist.pylocalization_helper.pymetadata_optimizer.pyreview_analyzer.py
Files
HOW_TO_USE.mddoc10,252 bytesREADME.mddoc14,917 bytesSKILL.mdcore16,531 bytesab_test_planner.pyruns22,857 bytesaso_scorer.pyruns18,966 bytescompetitor_analyzer.pyruns21,340 bytesexpected_output.jsonasset5,492 byteskeyword_analyzer.pyruns13,108 byteslaunch_checklist.pyruns28,949 byteslocalization_helper.pyruns22,142 bytesmetadata_optimizer.pyruns20,824 bytesreview_analyzer.pyruns25,561 bytessample_input.jsonasset723 bytes
Read SKILL.md
# App Store Optimization (ASO) Skill
This comprehensive skill provides complete ASO capabilities for successfully launching and optimizing mobile applications on the Apple App Store and Google Play Store.
## Capabilities
### Research & Analysis
- **Keyword Research**: Analyze keyword volume, competition, and relevance for app discovery
- **Competitor Analysis**: Deep-dive into top-performing apps in your category
- **Market Trend Analysis**: Identify emerging trends and opportunities in your app category
- **Review Sentiment Analysis**: Extract insights from user reviews to identify strengths and issues
- **Category Analysis**: Evaluate optimal category and subcategory placement strategies
### Metadata OptimizationView the complete source on GitHubaws-solution-architect
When your agent uses it
Expert AWS solution architecture for startups focusing on serverless, scalable, and cost-effective cloud infrastructure with modern DevOps practices and infrastructure-as-code
What it loads into context
Frontmatter
37 tokensAlways available to the agent
SKILL.md
3,519 tokensWhen the skill is activated
Reference documents
2,093 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Capabilities
- Input Requirements
- Output Formats
- How to Use
- Scripts
- Architecture Patterns
- Best Practices
- Service Selection Guide
- Startup-Specific Considerations
- Common Pitfalls to Avoid
- Compliance & Governance
- Limitations
- Helpful Resources
Scripts executed separately
architecture_designer.pycost_optimizer.pyserverless_stack.py
Files
HOW_TO_USE.mddoc9,147 bytesSKILL.mdcore14,912 bytesSKILL.mdcore14,912 bytes__pycache__/architecture_designer.cpython-313.pycasset24,143 bytes__pycache__/cost_optimizer.cpython-313.pycasset15,008 bytes__pycache__/serverless_stack.cpython-313.pycasset19,901 bytesarchitecture_designer.pyruns35,618 bytescost_optimizer.pyruns15,618 bytesexpected_output.jsonasset1,567 bytessample_input.jsonasset426 bytesserverless_stack.pyruns17,798 bytes
Read SKILL.md
# AWS Solution Architect for Startups
This skill provides comprehensive AWS architecture design expertise for startup companies, emphasizing serverless technologies, scalability, cost optimization, and modern cloud-native patterns.
## Capabilities
- **Serverless Architecture Design**: Lambda, API Gateway, DynamoDB, EventBridge, Step Functions, AppSync
- **Infrastructure as Code**: CloudFormation, CDK (Cloud Development Kit), Terraform templates
- **Scalable Application Architecture**: Auto-scaling, load balancing, multi-region deployment
- **Data & Storage Solutions**: S3, RDS Aurora Serverless, DynamoDB, ElastiCache, Neptune
- **Event-Driven Architecture**: EventBridge, SNS, SQS, Kinesis, Lambda triggers
- **API Design**: API Gateway (REST & WebSocket), AppSync (GraphQL), rate limiting, authentication
- **Authentication & Authorization**: Cognito, IAM, fine-grained access control, federated identity
- **CI/CD Pipelines**: CodePipeline, CodeBuild, CodeDeploy, GitHub Actions integrationView the complete source on GitHubclaude-md-enhancer
When your agent uses it
Analyzes, generates, and enhances CLAUDE.md files for any project type using best practices, modular architecture support, and tech stack customization. Use when setting up new projects, improving existing CLAUDE.md files, or establishing AI-assisted development standards.
What it loads into context
Frontmatter
62 tokensAlways available to the agent
SKILL.md
3,798 tokensWhen the skill is activated
Reference documents
19,209 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Capabilities
- Input Requirements
- Output Formats
- How to Use
- Initialization Workflow (New Projects)
- Scripts
- Best Practices
- Limitations
- Template Categories
- Quality Metrics
- Advanced Features
- References
- Version
Scripts executed separately
analyzer.pygenerator.pytemplate_selector.pyvalidator.pyworkflow.py
Files
HOW_TO_USE.mddoc12,488 bytesREADME.mddoc16,133 bytesSKILL.mdcore16,506 bytesanalyzer.pyruns13,249 bytesexamples/README.mddoc5,398 bytesexamples/core-small-team-CLAUDE.mddoc5,631 bytesexamples/minimal-solo-CLAUDE.mddoc1,858 bytesexamples/modular-backend-CLAUDE.mddoc9,327 bytesexamples/modular-frontend-CLAUDE.mddoc10,718 bytesexamples/modular-root-CLAUDE.mddoc6,596 bytesexamples/python-api-CLAUDE.mddoc13,361 bytesexpected_output.jsonasset10,018 bytesgenerator.pyruns19,594 bytessample_input.jsonasset4,507 bytestemplate_selector.pyruns17,094 bytesvalidator.pyruns15,242 bytesworkflow.pyruns15,847 bytes
Read SKILL.md
# CLAUDE.md File Enhancer
This skill provides comprehensive CLAUDE.md file generation and enhancement for Claude Code projects. It analyzes existing files, validates against best practices, and generates customized guidelines tailored to your project type, tech stack, and team size.
## Capabilities
- **🆕 Interactive Initialization**: Intelligent workflow that explores your repository, detects project type and tech stack, asks for confirmation, then creates customized CLAUDE.md files
- **✨ 100% Native Format Compliance**: All generated files follow official Claude Code format with project structure diagrams, setup instructions, architecture sections, and file structure explanations (matching `/update-claude-md` slash command)
- **Analyze Existing Files**: Scan and evaluate current CLAUDE.md files for structure, completeness, and quality
- **Validate Best Practices**: Check against Anthropic guidelines (file length, required sections, formatting standards)
- **Generate New Files**: Create complete CLAUDE.md files from scratch for new projects
- **Enhance Existing Files**: Add missing sections, improve structure, and update to latest best practices
- **Modular Architecture**: Support context-specific CLAUDE.md files in subdirectories (backend/, frontend/, docs/)
- **Tech Stack Customization**: Tailor guidelines to specific technologies (TypeScript, Python, Go, React, Vue, etc.)View the complete source on GitHubcodex-cli-bridge
When your agent uses it
Bridge between Claude Code and OpenAI Codex CLI - generates AGENTS.md from CLAUDE.md, provides Codex CLI execution helpers, and enables seamless interoperability between both tools
What it loads into context
Frontmatter
45 tokensAlways available to the agent
SKILL.md
2,303 tokensWhen the skill is activated
Reference documents
9,720 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Key Capabilities
- Input Requirements
- Output Formats
- Python Scripts
- Usage Examples
- Best Practices
- Command Integration
- Installation
- Troubleshooting
- References
- Version
- License
Scripts executed separately
agents_md_generator.pybridge.pyclaude_parser.pycodex_executor.pypackage.shproject_analyzer.pysafety_mechanism.pyskill_documenter.py
Files
CHANGELOG.mddoc5,671 bytesHOW_TO_USE.mddoc10,390 bytesINSTALL.mddoc10,494 bytesREADME.mddoc9,750 bytesSKILL.mdcore8,754 bytesSKILL.mdcore8,754 bytesSKILL.mdcore8,754 bytesSKILL.mdcore8,754 bytesSKILL.mdcore8,754 bytesSKILL.mdcore8,754 bytesSKILL.mdcore8,754 bytesSKILL.mdcore8,754 bytesSKILL.mdcore8,754 bytesSKILL.mdcore8,754 bytesSKILL.mdcore8,754 bytesSKILL.mdcore8,754 bytesSKILL.mdcore8,754 bytesSKILL.mdcore8,754 bytesSKILL.mdcore8,754 bytesSKILL.mdcore8,754 bytesSKILL.mdcore8,754 bytesSKILL.mdcore8,754 bytesSKILL.mdcore8,754 bytesagents_md_generator.pyruns17,868 bytesbridge.pyruns7,646 bytesclaude_parser.pyruns15,276 bytescodex_executor.pyruns13,280 bytesexpected_output.jsonasset4,789 bytespackage.shruns5,956 bytesproject_analyzer.pyruns11,260 bytessafety_mechanism.pyruns12,243 bytessample_input.jsonasset1,559 bytesskill_documenter.pyruns9,702 bytes
Read SKILL.md
# Codex CLI Bridge Skill
## Purpose
This skill creates a comprehensive bridge between **Claude Code** and **OpenAI's Codex CLI**, enabling seamless interoperability through:
1. **Documentation Translation**: Converts CLAUDE.md → AGENTS.md (reference-based, no file duplication)
2. **Execution Helpers**: Python wrappers for Codex CLI commands (always uses `codex exec`)
3. **Skill Documentation**: Makes Claude Skills accessible to Codex CLI users
## Key Capabilities
### 1. CLAUDE.md → AGENTS.md Generation
- Parses CLAUDE.md and project structureView the complete source on GitHubcontent-trend-researcher
When your agent uses it
Advanced content and topic research skill that analyzes trends across Google Analytics, Google Trends, Substack, Medium, Reddit, LinkedIn, X, blogs, podcasts, and YouTube to generate data-driven article outlines based on user intent analysis
What it loads into context
Frontmatter
57 tokensAlways available to the agent
SKILL.md
1,813 tokensWhen the skill is activated
Reference documents
2,062 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- What This Skill Does
- Capabilities
- When to Use This Skill
- Example Invocations
- Input Format
- Output Format
- Best Practices
- Limitations
- Integration with Other Skills
- Technical Notes
- Privacy & Ethics
Scripts executed separately
intent_analyzer.pyoutline_generator.pyplatform_insights.pytrend_analyzer.py
Files
HOW_TO_USE.mddoc9,192 bytesSKILL.mdcore8,238 bytesexpected_output.jsonasset15,627 bytesintent_analyzer.pyruns16,159 bytesoutline_generator.pyruns30,936 bytesplatform_insights.pyruns30,941 bytessample_input.jsonasset606 bytestrend_analyzer.pyruns18,291 bytes
Read SKILL.md
# Content Trend Researcher
A comprehensive content research and analysis skill designed for content creators, marketers, and publishers who need to create high-performing content based on real-world trends and user intent signals.
## What This Skill Does
This skill acts as your content intelligence system, analyzing trends across 10+ platforms to help you:
1. **Identify trending topics** - Find what's gaining traction across platforms
2. **Understand user intent** - Analyze search patterns and engagement signals
3. **Discover content gaps** - Find underserved topics with high demand
4. **Generate outlines** - Create data-driven article structures optimized for engagement
5. **Platform-specific insights** - Understand where different content types perform best
View the complete source on GitHubhook-factory
When your agent uses it
Generate production-ready Claude Code hooks with interactive Q&A, automated installation, and enhanced validation. Supports 10 templates across 7 event types for comprehensive workflow automation.
What it loads into context
Frontmatter
74 tokensAlways available to the agent
SKILL.md
2,988 tokensWhen the skill is activated
Reference documents
12,106 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- What This Skill Does
- When to Use This Skill
- Capabilities
- How to Invoke
- Example Interactions
- Output Structure
- Installation of Generated Hooks
- Validation
- Best Practices
- Limitations
- Technical Details
- Troubleshooting
- Examples Directory
- Contributing
- Version History
- Support
Scripts executed separately
generator.pyhook_factory.pyinstall-hook.shinstaller.pyvalidator.py
Files
README.mddoc13,861 bytesSKILL.mdcore12,698 bytesSKILL.mdcore12,698 bytesSKILL.mdcore12,698 bytesSKILL.mdcore12,698 bytesSKILL.mdcore12,698 bytesSKILL.mdcore12,698 bytesSKILL.mdcore12,698 bytesSKILL.mdcore12,698 bytesexamples/auto-format-python/README.mddoc2,754 bytesexamples/auto-format-python/hook.jsonasset542 bytesexamples/desktop-notify/README.mddoc4,271 bytesexamples/desktop-notify/hook.jsonasset649 bytesexamples/git-auto-add/README.mddoc2,545 bytesexamples/git-auto-add/hook.jsonasset584 bytesexamples/load-context/README.mddoc2,510 bytesexamples/load-context/hook.jsonasset455 bytesexamples/pre-push-check/README.mddoc4,141 bytesexamples/pre-push-check/hook.jsonasset1,599 bytesexamples/pre-tool-validation/README.mddoc3,145 bytesexamples/pre-tool-validation/hook.jsonasset865 bytesexamples/prompt-preprocessor/README.mddoc3,103 bytesexamples/prompt-preprocessor/hook.jsonasset757 bytesexamples/security-scan/README.mddoc5,847 bytesexamples/security-scan/hook.jsonasset2,149 bytesexamples/session-cleanup/README.mddoc3,833 bytesexamples/session-cleanup/hook.jsonasset777 bytesexamples/test-runner/README.mddoc2,527 bytesexamples/test-runner/hook.jsonasset432 bytesgenerator.pyruns17,298 byteshook_factory.pyruns23,592 bytesinstall-hook.shruns4,688 bytesinstaller.pyruns17,957 bytestemplates.jsonasset23,719 bytesvalidator.pyruns32,006 bytes
Read SKILL.md
# Hook Factory v2.0
**Generate production-ready Claude Code hooks with interactive Q&A, automated installation, and enhanced validation.**
## What This Skill Does
Hook Factory v2.0 is a comprehensive hook generation system with three modes:
1. **Interactive Mode** (NEW!) - 7-question guided flow with smart defaults
2. **Natural Language** - Describe what you want in plain English
3. **Template Mode** - Direct generation from 10 production templates
**Key Features:**
- **Interactive Q&A** - 7 questions with validation and smart defaultsView the complete source on GitHubms365-tenant-manager
When your agent uses it
Comprehensive Microsoft 365 tenant administration skill for setup, configuration, user management, security policies, and organizational structure optimization for Global Administrators
What it loads into context
Frontmatter
36 tokensAlways available to the agent
SKILL.md
1,882 tokensWhen the skill is activated
Reference documents
1,568 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Capabilities
- Input Requirements
- Output Formats
- How to Use
- Scripts
- Best Practices
- Common Tasks
- Limitations
- Security Considerations
- PowerShell Modules Required
- Updates & Maintenance
- Helpful Resources
Scripts executed separately
powershell_generator.pytenant_setup.pyuser_management.py
Files
HOW_TO_USE.mddoc7,269 bytesSKILL.mdcore9,537 bytes__pycache__/powershell_generator.cpython-313.pycasset15,122 bytes__pycache__/tenant_setup.cpython-313.pycasset13,096 bytes__pycache__/user_management.cpython-313.pycasset17,782 bytesexpected_output.jsonasset2,052 bytespowershell_generator.pyruns14,246 bytessample_input.jsonasset471 bytestenant_setup.pyruns17,034 bytesuser_management.pyruns16,404 bytes
Read SKILL.md
# Microsoft 365 Tenant Manager
This skill provides expert guidance and automation for Microsoft 365 Global Administrators managing tenant setup, configuration, user lifecycle, security policies, and organizational optimization.
## Capabilities
- **Tenant Setup & Configuration**: Initial tenant setup, domain configuration, DNS records, service provisioning
- **User & Group Management**: User lifecycle (create, modify, disable, delete), group creation, license assignment
- **Security & Compliance**: Conditional Access policies, MFA setup, DLP policies, retention policies, security baselines
- **SharePoint & OneDrive**: Site provisioning, permissions management, storage quotas, sharing policies
- **Teams Administration**: Team creation, policy management, guest access, compliance settings
- **Exchange Online**: Mailbox management, distribution groups, mail flow rules, anti-spam/malware policies
- **License Management**: License allocation, optimization, cost analysis, usage reporting
- **Reporting & Auditing**: Activity reports, audit logs, compliance reporting, usage analyticsView the complete source on GitHubprompt-factory
When your agent uses it
World-class prompt powerhouse that generates production-ready mega-prompts for any role, industry, and task through intelligent 7-question flow, 69 comprehensive presets across 15 professional domains (technical, business, creative, legal, finance, HR, design, customer, executive, manufacturing, R&D, regulatory, specialized-technical, research, creative-media), multiple output formats (XML/Claude/ChatGPT/Gemini), quality validation gates, and contextual best practices from OpenAI/Anthropic/Google. Supports both core and advanced modes with testing scenarios and prompt variations.
What it loads into context
Frontmatter
122 tokensAlways available to the agent
SKILL.md
8,916 tokensWhen the skill is activated
Reference documents
200,518 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- ⚠<U+FE0F> CRITICAL CONSTRAINTS - READ FIRST
- Overview
- Relationship to PROMPTS_FACTORY_PROMPT.md
- Quick Start: Choose Your Path
- Workflow: Custom Prompt Generation
- Quick-Start Presets
- Contextual Best Practices Integration
- Use Case Matrix Coverage
- Error Handling & Edge Cases
- Python Script Integration
- Success Metrics
- Reference Files
Scripts executed separately
scripts/batch_generator.pyscripts/generate_prompt.pyscripts/optimizer.pyscripts/validator.py
Files
CHANGELOG.mddoc13,478 bytesHOW_TO_USE.mddoc29,646 bytesREADME.mddoc9,552 bytesSKILL.mdcore37,067 bytesSKILL.mdcore37,067 bytesexamples/example-1-fullstack-api.mddoc14,005 bytesexamples/example-2-marketing-strategy.mddoc12,687 bytesexamples/example-3-product-prd.mddoc14,055 bytesexamples/example-4-devops-infrastructure.mddoc20,065 bytesexamples/example-5-content-calendar.mddoc18,102 bytesoutputs/.gitkeepasset0 bytesreferences/best-practices-reference.mddoc14,524 bytesrequirements.txtdoc249 bytesscripts/batch_generator.pyruns9,449 bytesscripts/generate_prompt.pyruns29,658 bytesscripts/optimizer.pyruns22,728 bytesscripts/validator.pyruns19,388 bytestemplates/presets/business/business-analyst.mddoc8,628 bytestemplates/presets/business/marketing-manager.mddoc6,464 bytestemplates/presets/business/marketing-strategist.mddoc3,739 bytestemplates/presets/business/operations-manager.mddoc7,755 bytestemplates/presets/business/product-engineer.mddoc7,593 bytestemplates/presets/business/product-manager.mddoc4,401 bytestemplates/presets/business/product-owner.mddoc7,856 bytestemplates/presets/business/project-manager.mddoc7,385 bytestemplates/presets/business/sales-business-manager.mddoc7,855 bytestemplates/presets/creative-media/copywriter.mddoc11,117 bytestemplates/presets/creative-media/seo-specialist.mddoc14,757 bytestemplates/presets/creative-media/social-media-manager.mddoc13,641 bytestemplates/presets/creative-media/video-producer.mddoc15,323 bytestemplates/presets/creative/content-strategist.mddoc5,085 bytestemplates/presets/creative/ux-researcher.mddoc7,872 bytestemplates/presets/customer/account-manager.mddoc14,951 bytestemplates/presets/customer/customer-experience-manager.mddoc15,653 bytestemplates/presets/customer/customer-success-manager.mddoc14,155 bytestemplates/presets/customer/support-engineer.mddoc13,990 bytestemplates/presets/design/brand-designer.mddoc11,590 bytestemplates/presets/design/graphic-designer.mddoc10,124 bytestemplates/presets/design/product-designer.mddoc11,015 bytestemplates/presets/design/ui-ux-designer.mddoc10,172 bytestemplates/presets/executive/ceo-founder.mddoc13,781 bytestemplates/presets/executive/chief-marketing-officer.mddoc15,301 bytestemplates/presets/executive/chief-operations-officer.mddoc15,691 bytestemplates/presets/executive/chief-product-officer.mddoc14,921 bytestemplates/presets/executive/chief-strategy-officer.mddoc14,698 bytestemplates/presets/executive/cto-vp-engineering.mddoc14,493 bytestemplates/presets/executive/general-manager.mddoc14,169 bytestemplates/presets/finance/accountant-tax.mddoc13,111 bytestemplates/presets/finance/cfo-controller.mddoc13,311 bytestemplates/presets/finance/financial-analyst.mddoc12,778 bytestemplates/presets/finance/investment-analyst.mddoc13,634 bytestemplates/presets/hr/compensation-analyst.mddoc15,642 bytestemplates/presets/hr/hr-manager.mddoc14,580 bytestemplates/presets/hr/learning-development.mddoc16,274 bytestemplates/presets/hr/talent-acquisition.mddoc14,720 bytestemplates/presets/legal/compliance-officer.mddoc11,120 bytestemplates/presets/legal/contract-manager.mddoc11,491 bytestemplates/presets/legal/legal-counsel.mddoc10,222 bytestemplates/presets/legal/regulatory-affairs.mddoc13,136 bytestemplates/presets/manufacturing/industrial-designer.mddoc16,787 bytestemplates/presets/manufacturing/manufacturing-engineer.mddoc14,031 bytestemplates/presets/manufacturing/quality-engineer.mddoc15,836 bytestemplates/presets/manufacturing/supply-chain-manager.mddoc15,329 bytestemplates/presets/rd/ai-rd-expert.mddoc20,182 bytestemplates/presets/rd/clinical-specialist.mddoc18,602 bytestemplates/presets/regulatory/quality-management-responsible.mddoc16,435 bytestemplates/presets/research/market-researcher.mddoc16,242 bytestemplates/presets/research/quantitative-analyst.mddoc15,290 bytestemplates/presets/research/research-scientist.mddoc15,181 bytestemplates/presets/specialized-technical/blockchain-developer.mddoc11,005 bytestemplates/presets/specialized-technical/embedded-systems-engineer.mddoc11,268 bytestemplates/presets/specialized-technical/game-developer.mddoc11,634 bytestemplates/presets/specialized-technical/ml-engineer.mddoc10,697 bytestemplates/presets/specialized-technical/network-engineer.mddoc11,832 bytestemplates/presets/specialized-technical/site-reliability-engineer.mddoc12,310 bytestemplates/presets/specialized/aeo-specialist.mddoc16,437 bytestemplates/presets/specialized/sales-engineer.mddoc5,992 bytestemplates/presets/specialized/technical-writer.mddoc4,698 bytestemplates/presets/technical/cloud-architect.mddoc8,224 bytestemplates/presets/technical/data-scientist.mddoc7,640 bytestemplates/presets/technical/database-engineer.mddoc8,434 bytestemplates/presets/technical/devops-engineer.mddoc4,831 bytestemplates/presets/technical/fullstack-engineer.mddoc3,333 bytestemplates/presets/technical/mobile-engineer.mddoc7,681 bytestemplates/presets/technical/qa-engineer.mddoc8,423 bytestemplates/presets/technical/security-engineer.mddoc8,744 bytes
Read SKILL.md
# Prompt Factory - World-Class Prompt Powerhouse
A comprehensive system for generating world-class, production-ready prompts in one shot, eliminating the need for iteration.
---
## ⚠<U+FE0F> CRITICAL CONSTRAINTS - READ FIRST
**This skill generates PROMPTS only. It does NOT implement the work described in the prompt.**
### What This Skill DOES:
✅ Generate a comprehensive PROMPT (text document in chosen format)
✅ **Ask 5-7 questions to understand requirements** (MANDATORY - no skipping)
✅ Validate prompt quality before deliveryView the complete source on GitHubscrum-master-agent
When your agent uses it
Comprehensive Scrum Master assistant for sprint planning, backlog grooming, retrospectives, capacity planning, and daily standups with intelligent context-aware reporting
What it loads into context
Frontmatter
34 tokensAlways available to the agent
SKILL.md
3,293 tokensWhen the skill is activated
Reference documents
6,073 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Capabilities
- Input Requirements
- Output Formats
- How to Use
- Scripts
- Best Practices
- Limitations
- When NOT to Use This Skill
- Installation
- Version
- Support
Scripts executed separately
calculate_metrics.pydetect_context.pyformat_output.pynotify_channels.pyparse_input.pyprioritize_backlog.pytool_adapters.py
Files
HOW_TO_USE.mddoc9,532 bytesREADME.mddoc14,611 bytesSKILL.mdcore13,232 bytesSKILL.mdcore13,232 bytesSKILL.mdcore13,232 bytesSKILL.mdcore13,232 bytescalculate_metrics.pyruns17,614 bytesconfig.example.yamlasset5,576 bytesdetect_context.pyruns8,372 bytesexpected_output.jsonasset2,228 bytesformat_output.pyruns16,575 bytesnotify_channels.pyruns12,652 bytesparse_input.pyruns9,483 bytesprioritize_backlog.pyruns12,503 bytessample_input_csv.csvasset547 bytessample_input_jira.jsonasset1,501 bytessample_input_linear.jsonasset2,196 bytestool_adapters.pyruns12,494 bytes
Read SKILL.md
# Scrum Master Agent
A production-ready Scrum Master assistant designed for SaaS startups and application engineering teams. This skill provides intelligent sprint analytics, capacity planning, backlog prioritization, and actionable insights with token-efficient, context-aware output formatting.
## Capabilities
### Sprint Management
- **Sprint Planning**: Capacity-based story allocation with velocity tracking
- **Backlog Grooming**: Priority scoring with effort/value/risk analysis
- **Sprint Health Monitoring**: Real-time burndown tracking with predictive alerts
- **Velocity Analysis**: Historical trend analysis with forecasting
### Team Operations
- **Daily Standups**: Ultra-lightweight progress summaries (50-100 tokens)View the complete source on GitHubslash-command-factory
When your agent uses it
Generate custom Claude Code slash commands through intelligent 5-7 question flow. Creates powerful commands for business research, content analysis, healthcare compliance, API integration, documentation automation, and workflow optimization. Outputs organized commands to generated-commands/ with validation and installation guidance.
What it loads into context
Frontmatter
61 tokensAlways available to the agent
SKILL.md
5,945 tokensWhen the skill is activated
Reference documents
1,075 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- What This Skill Does
- Official Command Structure Patterns
- Comprehensive Naming Convention
- Bash Permission Patterns
- Two Paths to Generate Commands
- Question Flow (Custom Path)
- Generation Process
- Preset Command Details
- Output Structure
- Installation
- Usage Examples
- Command Format (What Gets Generated)
- Validation
- Best Practices
- Important Notes
- Example Invocations
- Integration with Factory Agents
- Output Validation
- Success Criteria
Scripts executed separately
command_generator.pyvalidator.py
Files
HOW_TO_USE.mddoc4,431 bytesSKILL.mdcore24,443 bytesSKILL.mdcore24,443 bytesSKILL.mdcore24,443 bytesSKILL.mdcore24,443 bytesSKILL.mdcore24,443 bytesSKILL.mdcore24,443 bytesSKILL.mdcore24,443 bytesSKILL.mdcore24,443 bytescommand_generator.pyruns12,633 bytesexpected_output.jsonasset1,130 bytespresets.jsonasset25,124 bytessample_input.jsonasset276 bytesvalidator.pyruns11,158 bytes
Read SKILL.md
# Slash Command Factory
A comprehensive system for generating production-ready Claude Code slash commands through a simple question-based workflow.
---
## What This Skill Does
This skill helps you create custom slash commands for Claude Code by:
- Asking 5-7 straightforward questions about your command needs
- Generating complete command .md files with proper YAML frontmatter
- Providing 10 powerful preset commands for common use cases
- Validating command format and syntax
- Creating well-organized folder structuresView the complete source on GitHubsocial-media-analyzer
When your agent uses it
Analyzes social media campaign performance across platforms with engagement metrics, ROI calculations, and audience insights for data-driven marketing decisions
What it loads into context
Frontmatter
33 tokensAlways available to the agent
SKILL.md
598 tokensWhen the skill is activated
Reference documents
406 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Capabilities
- Input Requirements
- Output Formats
- How to Use
- Scripts
- Best Practices
- Limitations
Scripts executed separately
analyze_performance.pycalculate_metrics.py
Files
HOW_TO_USE.mddoc1,863 bytesSKILL.mdcore3,086 bytesanalyze_performance.pyruns7,331 bytescalculate_metrics.pyruns5,540 bytesexpected_output.jsonasset1,519 bytessample_input.jsonasset867 bytes
Read SKILL.md
# Social Media Campaign Analyzer
This skill provides comprehensive analysis of social media campaign performance, helping marketing agencies deliver actionable insights to clients.
## Capabilities
- **Multi-Platform Analysis**: Track performance across Facebook, Instagram, Twitter, LinkedIn, TikTok
- **Engagement Metrics**: Calculate engagement rate, reach, impressions, click-through rate
- **ROI Analysis**: Measure cost per engagement, cost per click, return on ad spend
- **Audience Insights**: Analyze demographics, peak engagement times, content performance
- **Trend Detection**: Identify high-performing content types and posting patterns
- **Competitive Benchmarking**: Compare performance against industry standards
## Input RequirementsView the complete source on GitHubtdd-guide
When your agent uses it
Comprehensive Test Driven Development guide for engineering subagents with multi-framework support, coverage analysis, and intelligent test generation
What it loads into context
Frontmatter
29 tokensAlways available to the agent
SKILL.md
2,494 tokensWhen the skill is activated
Reference documents
6,233 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Capabilities
- Input Requirements
- Output Formats
- How to Use
- Scripts
- Best Practices
- Multi-Language Support
- Limitations
- Example Workflows
- Integration Points
- Version Support
- Related Skills
Scripts executed separately
coverage_analyzer.pyfixture_generator.pyformat_detector.pyframework_adapter.pymetrics_calculator.pyoutput_formatter.pytdd_workflow.pytest_generator.py
Files
HOW_TO_USE.mddoc7,176 bytesREADME.mddoc18,528 bytesSKILL.mdcore10,926 bytesSKILL.mdcore10,926 bytescoverage_analyzer.pyruns15,502 bytesexpected_output.jsonasset2,404 bytesfixture_generator.pyruns14,311 bytesformat_detector.pyruns12,207 bytesframework_adapter.pyruns14,834 bytesmetrics_calculator.pyruns15,476 bytesoutput_formatter.pyruns12,734 bytessample_coverage_report.lcovasset615 bytessample_input_python.jsonasset1,443 bytessample_input_typescript.jsonasset1,469 bytestdd_workflow.pyruns16,968 bytestest_generator.pyruns14,617 bytes
Read SKILL.md
# TDD Guide - Test Driven Development for Engineering Teams
A comprehensive Test Driven Development skill that provides intelligent test generation, coverage analysis, framework integration, and TDD workflow guidance across multiple languages and testing frameworks.
## Capabilities
### Test Generation
- **Generate Test Cases from Requirements**: Convert user stories, API specs, and business requirements into executable test cases
- **Create Test Stubs**: Generate test function scaffolding with proper naming, imports, and setup/teardown
- **Generate Test Fixtures**: Create realistic test data, mocks, and fixtures for various scenarios
### TDD Workflow Support
- **Guide Red-Green-Refactor**: Step-by-step guidance through TDD cycles with validation
- **Suggest Missing Scenarios**: Identify untested edge cases, error conditions, and boundary scenariosView the complete source on GitHubtech-stack-evaluator
When your agent uses it
Comprehensive technology stack evaluation and comparison tool with TCO analysis, security assessment, and intelligent recommendations for engineering teams
What it loads into context
Frontmatter
30 tokensAlways available to the agent
SKILL.md
3,276 tokensWhen the skill is activated
Reference documents
6,544 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Capabilities
- Input Requirements
- Output Formats
- How to Use
- Scripts
- Metrics and Calculations
- Best Practices
- Limitations
- Confidence Levels
Scripts executed separately
ecosystem_analyzer.pyformat_detector.pymigration_analyzer.pyreport_generator.pysecurity_assessor.pystack_comparator.pytco_calculator.py
Files
HOW_TO_USE.mddoc9,265 bytesREADME.mddoc19,245 bytesSKILL.mdcore14,996 bytesSKILL.mdcore14,996 bytesecosystem_analyzer.pyruns16,534 bytesexpected_output_comparison.jsonasset1,953 bytesformat_detector.pyruns12,611 bytesmigration_analyzer.pyruns20,589 bytesreport_generator.pyruns15,891 bytessample_input_structured.jsonasset1,109 bytessample_input_tco.jsonasset1,152 bytessample_input_text.jsonasset237 bytessecurity_assessor.pyruns17,733 bytesstack_comparator.pyruns12,381 bytestco_calculator.pyruns16,153 bytes
Read SKILL.md
# Technology Stack Evaluator
A comprehensive evaluation framework for comparing technologies, frameworks, cloud providers, and complete technology stacks. Provides data-driven recommendations with TCO analysis, security assessment, ecosystem health scoring, and migration path analysis.
## Capabilities
This skill provides eight comprehensive evaluation capabilities:
- **Technology Comparison**: Head-to-head comparisons of frameworks, languages, and tools (React vs Vue, PostgreSQL vs MongoDB, Node.js vs Python)
- **Stack Evaluation**: Assess complete technology stacks for specific use cases (real-time collaboration, API-heavy SaaS, data-intensive platforms)
- **Maturity & Ecosystem Analysis**: Evaluate community health, maintenance status, long-term viability, and ecosystem strength
- **Total Cost of Ownership (TCO)**: Calculate comprehensive costs including licensing, hosting, developer productivity, and scaling
- **Security & Compliance**: Analyze vulnerabilities, compliance readiness (GDPR, SOC2, HIPAA), and security posture
- **Migration Path Analysis**: Assess migration complexity, risks, timelines, and strategies from legacy to modern stacksView the complete source on GitHubSkills included
- agent-factory
- app-store-optimization
- aws-solution-architect
- claude-md-enhancer
- codex-cli-bridge
- content-trend-researcher
- hook-factory
- ms365-tenant-manager
- prompt-factory
- scrum-master-agent
- slash-command-factory
- social-media-analyzer
- tdd-guide
- tech-stack-evaluator
Repository facts
- License
- MIT
- Created
- Oct 21, 2025
- Last pushed
- Nov 12, 2025
- Forks
- 178
- Open issues
- 20
- Project activity
- Slowing
Rank over the last 12 weeks
Now #976 · best #641 · down 226 in 30 days
- #963 on Nov 2
- #968 on Nov 3
- #971 on Nov 4
- #972 on Nov 5
- #975 on Nov 6
- #976 since Nov 7
52 earlier periods
- #614 on Aug 2
- #640 on Aug 6
- #605 on Aug 8
- #611 on Aug 9
- #638 on Aug 10
- #645 on Aug 11
- #640 on Aug 13
- #636 on Aug 14
- #644 on Aug 17
- #658 on Aug 18
- #651 on Aug 23
- #675 on Aug 25
- #669 on Aug 27
- #691 on Aug 28
- #641 on Aug 30
- #671 on Aug 31
- #661 on Sep 4
- #653 on Sep 5
- #670 on Sep 6
- #700 on Sep 9
- #703 on Sep 10
- #688 on Sep 11
- #692 from Sep 12 to Sep 13
- #717 on Sep 14
- #718 on Sep 16
- #680 on Sep 19
- #695 on Sep 20
- #703 on Sep 24
- #685 on Sep 26
- #729 on Sep 28
- #695 on Oct 1
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- #723 on Oct 4
- #728 on Oct 5
- #741 on Oct 6
- #750 on Oct 7
- #756 on Oct 9
- #745 on Oct 10
- #765 on Oct 12
- #769 on Oct 13
- #786 on Oct 16
- #761 on Oct 17
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- #812 on Oct 21
- #930 on Oct 25
- #943 on Oct 28
- #948 on Oct 29
- #950 on Oct 30
- #952 on Oct 31
- #954 on Nov 1
Before you install
Network or broad shellAutomated signals, not a guarantee
Checked Nov 4, 2026
Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.
Show 42 notes
generated-skills/agent-factory/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedgenerated-skills/agent-factory/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedgenerated-skills/agent-factory/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedgenerated-skills/aws-solution-architect/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedgenerated-skills/codex-cli-bridge/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedgenerated-skills/codex-cli-bridge/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedgenerated-skills/codex-cli-bridge/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedgenerated-skills/codex-cli-bridge/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedgenerated-skills/codex-cli-bridge/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedgenerated-skills/codex-cli-bridge/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedgenerated-skills/codex-cli-bridge/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedgenerated-skills/codex-cli-bridge/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedgenerated-skills/codex-cli-bridge/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedgenerated-skills/codex-cli-bridge/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedgenerated-skills/codex-cli-bridge/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedgenerated-skills/codex-cli-bridge/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedgenerated-skills/codex-cli-bridge/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedgenerated-skills/codex-cli-bridge/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedgenerated-skills/codex-cli-bridge/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedgenerated-skills/codex-cli-bridge/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzed
- No broad tool permissions
- 31 dangerous shell commandsin 11 files: codex-cli-bridge/INSTALL.md:365 hook-factory/validator.py:48 hook-factory/install-hook.sh:35 and 8 more
- 178 network referencesin 36 files: scrum-master-agent/config.example.yaml:13 prompt-factory/references/best-practices-reference.md:468 aws-solution-architect/HOW_TO_USE.md:285 and 33 more
- No hidden or obfuscated text
- No instruction overrides
- 67 executable scriptsin 67 files: agent-factory/agent_generator.py:1 app-store-optimization/ab_test_planner.py:1 app-store-optimization/aso_scorer.py:1 and 64 more
- 30 references to secretsin 16 files: hook-factory/examples/pre-tool-validation/README.md:59 hook-factory/examples/security-scan/README.md:52 scrum-master-agent/detect_context.py:27 and 13 more
- No requests to vote in Hot
Show all 306 signals by file
generated-skills/agent-factory/HOW_TO_USE.md
- Network accessline 384
**Claude Code Agents Documentation**: https://docs.claude.com/en/docs/claude-code/sub-agents
generated-skills/agent-factory/agent_generator.py
- Executable scriptline 1
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generated-skills/app-store-optimization/ab_test_planner.py
- Executable scriptline 1
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generated-skills/app-store-optimization/aso_scorer.py
- Executable scriptline 1
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generated-skills/app-store-optimization/competitor_analyzer.py
- Executable scriptline 1
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generated-skills/app-store-optimization/keyword_analyzer.py
- Executable scriptline 1
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generated-skills/app-store-optimization/launch_checklist.py
- Executable scriptline 1
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generated-skills/app-store-optimization/localization_helper.py
- Executable scriptline 1
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generated-skills/app-store-optimization/metadata_optimizer.py
- Executable scriptline 1
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generated-skills/app-store-optimization/review_analyzer.py
- Executable scriptline 1
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generated-skills/aws-solution-architect/HOW_TO_USE.md
- Network accessline 285
- **AWS Well-Architected Framework**: https://aws.amazon.com/architecture/well-architected/ - Network accessline 286
- **AWS Architecture Center**: https://aws.amazon.com/architecture/ - Network accessline 287
- **Serverless Land**: https://serverlessland.com/ - Network accessline 288
- **AWS Pricing Calculator**: https://calculator.aws/ - Network accessline 289
- **AWS Free Tier**: https://aws.amazon.com/free/ - Network accessline 290
- **AWS Startups**: https://aws.amazon.com/startups/ - Network accessline 305
- AWS Support Plans (Developer, Business, Enterprise) - AWS re:Post community forum - AWS Documentation: https://docs.aws.amazon.com/ - Network accessline 306
- AWS re:Post community forum - AWS Documentation: https://docs.aws.amazon.com/ - AWS Training: https://aws.amazon.com/training/ - Network accessline 307
- AWS Documentation: https://docs.aws.amazon.com/ - Network accessline 308
- AWS Training: https://aws.amazon.com/training/
generated-skills/aws-solution-architect/SKILL.md
- Network accessline 337
- **AWS Well-Architected Framework**: https://aws.amazon.com/architecture/well-architected/ - Network accessline 338
- **AWS Architecture Center**: https://aws.amazon.com/architecture/ - Network accessline 339
- **Serverless Land**: https://serverlessland.com/ - Network accessline 340
- **AWS Pricing Calculator**: https://calculator.aws/ - Network accessline 341
- **AWS Cost Explorer**: Track and analyze spending - **AWS Trusted Advisor**: Automated best practice checks - **CloudFormation Templates**: https://github.com/awslabs/aws-cloudformation-templates - Network accessline 342
- **AWS Trusted Advisor**: Automated best practice checks - **CloudFormation Templates**: https://github.com/awslabs/aws-cloudformation-templates - **AWS CDK Examples**: https://github.com/aws-samples/aws-cdk-examples - Network accessline 343
- **CloudFormation Templates**: https://github.com/awslabs/aws-cloudformation-templates - Network accessline 344
- **AWS CDK Examples**: https://github.com/aws-samples/aws-cdk-examples
generated-skills/aws-solution-architect/architecture_designer.py
- Executable scriptline 1
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generated-skills/aws-solution-architect/cost_optimizer.py
- Executable scriptline 1
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generated-skills/aws-solution-architect/serverless_stack.py
- Executable scriptline 1
Executable file - Network accessline 208
ApiUrl: Description: API Gateway endpoint URL Value: !Sub 'https://${{ApiGateway}}.execute-api.${{AWS::Region}}.amazonaws.com/${{Environment}}' - Network accessline 209
Description: API Gateway endpoint URL Value: !Sub 'https://${{ApiGateway}}.execute-api.${{AWS::Region}}.amazonaws.com/${{Environment}}' Export: - Network accessline 210
Value: !Sub 'https://${{ApiGateway}}.execute-api.${{AWS::Region}}.amazonaws.com/${{Environment}}' - Access to secretsline 496
[Credential-related source omitted]
generated-skills/claude-md-enhancer/README.md
- Network accessline 470
Found a bug or have a suggestion? This skill is part of the [claude-code-skills-factory](https://github.com/anthropics/claude-code-skills-factory) repository.
generated-skills/claude-md-enhancer/SKILL.md
- Network accessline 436
- **Anthropic Claude Code Docs**: https://docs.claude.com/en/docs/claude-code
generated-skills/claude-md-enhancer/analyzer.py
- Executable scriptline 1
Executable file
generated-skills/claude-md-enhancer/examples/core-small-team-CLAUDE.md
generated-skills/claude-md-enhancer/examples/modular-backend-CLAUDE.md
generated-skills/claude-md-enhancer/examples/modular-frontend-CLAUDE.md
- Access to secretsline 103
[Credential-related source omitted] - Access to secretsline 104
[Credential-related source omitted] - Network accessline 111
# Server runs at http://localhost:5173 - Network accessline 354
# Development npm run dev # Start dev server (http://localhost:5173) - Network accessline 355
npm run dev # Start dev server (http://localhost:5173)
generated-skills/claude-md-enhancer/examples/modular-root-CLAUDE.md
generated-skills/claude-md-enhancer/examples/python-api-CLAUDE.md
- Access to secretsline 104
[Credential-related source omitted] - Access to secretsline 105
[Credential-related source omitted] - Network accessline 122
# Server runs at http://localhost:8000 - Network accessline 123
# API docs at http://localhost:8000/docs (Swagger UI) - Network accessline 124
# Alternative docs at http://localhost:8000/redoc (ReDoc) - Network accessline 432
- **Swagger UI**: http://localhost:8000/docs (interactive) - Network accessline 433
- **ReDoc**: http://localhost:8000/redoc (readable) - Network accessline 434
- **OpenAPI JSON**: http://localhost:8000/openapi.json (raw schema) - Network accessline 453
# CORS ALLOWED_ORIGINS=http://localhost:3000,http://localhost:5173 - Network accessline 454
ALLOWED_ORIGINS=http://localhost:3000,http://localhost:5173
generated-skills/claude-md-enhancer/generator.py
- Executable scriptline 1
Executable file
generated-skills/claude-md-enhancer/template_selector.py
- Executable scriptline 1
Executable file
generated-skills/claude-md-enhancer/validator.py
- Executable scriptline 1
Executable file
generated-skills/claude-md-enhancer/workflow.py
- Executable scriptline 1
Executable file
generated-skills/codex-cli-bridge/CHANGELOG.md
- Network accessline 5
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), - Network accessline 6
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). - Network accessline 193
- [GitHub Repository](https://github.com/your-repo/codex-cli-bridge) - Network accessline 194
- [Documentation](./HOW_TO_USE.md) - [Bug Reports](https://github.com/your-repo/issues) - [Feature Requests](https://github.com/your-repo/issues) - Network accessline 195
- [Bug Reports](https://github.com/your-repo/issues) - Network accessline 196
- [Feature Requests](https://github.com/your-repo/issues)
generated-skills/codex-cli-bridge/HOW_TO_USE.md
- Network accessline 273
# If not, install Codex CLI # (See https://github.com/openai/codex) - Network accessline 274
# (See https://github.com/openai/codex) - Network accessline 556
- **SKILL.md**: Complete skill reference - **AGENTS.md**: Example output (this repository) - **Codex CLI Docs**: https://github.com/openai/codex - Network accessline 557
- **AGENTS.md**: Example output (this repository) - **Codex CLI Docs**: https://github.com/openai/codex - **Claude Code Docs**: https://docs.claude.com/claude-code - Network accessline 558
- **Codex CLI Docs**: https://github.com/openai/codex - Network accessline 559
- **Claude Code Docs**: https://docs.claude.com/claude-code
generated-skills/codex-cli-bridge/INSTALL.md
- Network accessline 31
**Installation**: Visit https://github.com/openai/codex for Codex CLI installation instructions. - Dangerous shell operationline 365
# Use sudo for system directories - Dangerous shell operationline 366
sudo cp -r codex-cli-bridge /usr/local/lib/claude/skills/ - Dangerous shell operationline 372
sudo chown -R $USER ~/.claude - Network accessline 401
# If not found, install Codex CLI # Visit: https://github.com/openai/codex - Network accessline 402
# Visit: https://github.com/openai/codex - Dangerous shell operationline 439
rm -rf ~/.claude/skills/codex-cli-bridge - Dangerous shell operationline 442
rm ~/.claude/commands/sync-agents-md.md - Dangerous shell operationline 443
rm ~/.claude/commands/codex-exec.md - Dangerous shell operationline 459
rm -rf .claude/skills/codex-cli-bridge - Dangerous shell operationline 491
find . -name "AGENTS.md" -type f -delete - Dangerous shell operationline 506
rm -rf ~/.claude/skills/codex-cli-bridge - Network accessline 569
**Bug Reports**: - GitHub Issues: https://github.com/your-repo/issues - Network accessline 570
- GitHub Issues: https://github.com/your-repo/issues - Network accessline 572
**Feature Requests**: - GitHub Issues: https://github.com/your-repo/issues - Network accessline 573
- GitHub Issues: https://github.com/your-repo/issues
generated-skills/codex-cli-bridge/README.md
- Network accessline 5
 - Network accessline 6
 - Network accessline 7
 - Network accessline 300
- **[HOW_TO_USE.md](HOW_TO_USE.md)** - Comprehensive usage guide - **[AGENTS.md](../../AGENTS.md)** - Example output (this repository) - **[Codex CLI Docs](https://github.com/openai/codex)** - Official Codex documentation - Network accessline 302
- **[Codex CLI Docs](https://github.com/openai/codex)** - Official Codex documentation - Network accessline 408
- **Issues**: [GitHub Issues](https://github.com/your-repo/issues)
generated-skills/codex-cli-bridge/SKILL.md
generated-skills/codex-cli-bridge/agents_md_generator.py
- Executable scriptline 1
Executable file - Network accessline 560
- **CLAUDE.md**: Project configuration for Claude Code - **Skills Documentation**: See individual SKILL.md files in skill directories - **Codex CLI Docs**: https://github.com/openai/codex - Network accessline 561
- **Skills Documentation**: See individual SKILL.md files in skill directories - **Codex CLI Docs**: https://github.com/openai/codex - **Claude Code Docs**: https://docs.claude.com/claude-code - Network accessline 562
- **Codex CLI Docs**: https://github.com/openai/codex - Network accessline 563
- **Claude Code Docs**: https://docs.claude.com/claude-code
generated-skills/codex-cli-bridge/bridge.py
- Executable scriptline 1
#!/usr/bin/env python3
generated-skills/codex-cli-bridge/claude_parser.py
- Executable scriptline 1
Executable file
generated-skills/codex-cli-bridge/codex_executor.py
generated-skills/codex-cli-bridge/package.sh
generated-skills/codex-cli-bridge/project_analyzer.py
- Executable scriptline 1
Executable file
generated-skills/codex-cli-bridge/safety_mechanism.py
- Executable scriptline 1
Executable file - Network accessline 90
Installation: Visit: https://github.com/openai/codex - Network accessline 91
Visit: https://github.com/openai/codex - Network accessline 271
- Claude Skills: https://docs.claude.com/en/docs/agents-and-tools/agent-skills/overview - Network accessline 272
- Codex CLI: https://github.com/openai/codex
generated-skills/codex-cli-bridge/skill_documenter.py
- Executable scriptline 1
Executable file
generated-skills/content-trend-researcher/intent_analyzer.py
- Executable scriptline 1
Executable file
generated-skills/content-trend-researcher/outline_generator.py
- Executable scriptline 1
Executable file
generated-skills/content-trend-researcher/platform_insights.py
- Executable scriptline 1
Executable file
generated-skills/content-trend-researcher/trend_analyzer.py
- Executable scriptline 1
Executable file
generated-skills/hook-factory/README.md
- Dangerous shell operationline 199
- ❌ Destructive operations (rm -rf, git push --force, etc.) - Dangerous shell operationline 428
- **Destructive patterns:** rm -rf, git push --force, DROP TABLE, chmod 777 - Network accessline 478
- **Claude Code Hooks Documentation:** https://docs.claude.com/en/docs/claude-code/hooks
generated-skills/hook-factory/SKILL.md
- Dangerous shell operationline 293
- **Safety**: No destructive operations (rm -rf, etc.) - Network accessline 454
- **Examples**: See examples/ directory - **Validation Issues**: Check validator.py output - **Claude Code Hooks**: https://docs.claude.com/en/docs/claude-code/hooks - Network accessline 456
- **Claude Code Hooks**: https://docs.claude.com/en/docs/claude-code/hooks
generated-skills/hook-factory/examples/desktop-notify/README.md
generated-skills/hook-factory/examples/pre-tool-validation/README.md
generated-skills/hook-factory/examples/prompt-preprocessor/README.md
generated-skills/hook-factory/examples/prompt-preprocessor/hook.json
- Dangerous shell operationline 8
"command": "# Log user prompts for analysis\nif [ -n \"$CLAUDE_USER_PROMPT\" ]; then\n mkdir -p .claude\n echo \"[$(date '+%Y-%m-%d %H:%M:%S')] $CLAUDE_USER_PROMPT\" >> .claude/prompt_log.txt\nfi\n\n# Add project context if available\
generated-skills/hook-factory/examples/security-scan/README.md
generated-skills/hook-factory/examples/security-scan/hook.json
- Access to secretsline 8
[Credential-related source omitted]
generated-skills/hook-factory/generator.py
- Executable scriptline 1
Executable file
generated-skills/hook-factory/hook_factory.py
generated-skills/hook-factory/install-hook.sh
- Executable scriptline 1
#!/bin/bash - Dangerous shell operationline 35
echo " Ubuntu: sudo apt-get install jq" - Dangerous shell operationline 36
echo " Fedora: sudo dnf install jq" - Dangerous shell operationline 110
find "$SETTINGS_DIR" -name "settings.json.backup.*" -type f | sort | head -n -5 | xargs rm -f - Dangerous shell operationline 127
trap "rm -f $TMP_SETTINGS" EXIT
generated-skills/hook-factory/installer.py
- Executable scriptline 1
Executable file
generated-skills/hook-factory/templates.json
- Dangerous shell operationline 289
"validate_safety": "# Check for unsafe patterns\nif [ -n \"$CLAUDE_USER_PROMPT\" ]; then\n UNSAFE_PATTERNS=(\"rm -rf /\" \"sudo rm\" \"format disk\")\n for pattern in \"${UNSAFE_PATTERNS[@]}\"; do\n if [[ \"$CLAUDE_USER_PROMPT\ - Access to secretsline 474
[Credential-related source omitted] - Access to secretsline 477
[Credential-related source omitted]
generated-skills/hook-factory/validator.py
- Executable scriptline 1
Executable file - Dangerous shell operationline 48
(r'rm\s+-rf', 'rm -rf'), - Dangerous shell operationline 51
(r'chmod\s+777', 'chmod 777'), - Dangerous shell operationline 52
(r'sudo\s+rm', 'sudo rm'), - Access to secretsline 525
[Credential-related source omitted] - Access to secretsline 576
[Credential-related source omitted] - Dangerous shell operationline 672
# Check for sudo usage (requires password) - Dangerous shell operationline 676
message='sudo requires password - may not work in hooks', - Dangerous shell operationline 677
fix_suggestion='Avoid sudo in hooks - run commands with appropriate permissions'
generated-skills/ms365-tenant-manager/HOW_TO_USE.md
- Network accessline 220
- Microsoft 365 Admin Center: https://admin.microsoft.com - Network accessline 221
- Azure AD Portal: https://aad.portal.azure.com - Network accessline 222
- Microsoft Graph Explorer: https://developer.microsoft.com/graph/graph-explorer - Network accessline 223
- PowerShell Gallery: https://www.powershellgallery.com - Network accessline 224
- Microsoft 365 Roadmap: https://www.microsoft.com/microsoft-365/roadmap
generated-skills/ms365-tenant-manager/SKILL.md
- Network accessline 191
- **Microsoft 365 Admin Center**: https://admin.microsoft.com - Network accessline 192
- **Microsoft Graph Explorer**: https://developer.microsoft.com/graph/graph-explorer - Network accessline 193
- **PowerShell Gallery**: https://www.powershellgallery.com - Network accessline 194
- **Microsoft Secure Score**: Security posture assessment in Admin Center - **Microsoft 365 Compliance Center**: https://compliance.microsoft.com - **Azure AD Conditional Access**: Identity and access management policies - Network accessline 195
- **Microsoft 365 Compliance Center**: https://compliance.microsoft.com
generated-skills/ms365-tenant-manager/powershell_generator.py
- Executable scriptline 1
Executable file
generated-skills/ms365-tenant-manager/tenant_setup.py
- Executable scriptline 1
Executable file - Network accessline 42
{ 'task': 'Sign in to Microsoft 365 Admin Center', 'url': 'https://admin.microsoft.com', - Network accessline 43
'task': 'Sign in to Microsoft 365 Admin Center', 'url': 'https://admin.microsoft.com', 'estimated_time': '5 minutes' - Network accessline 44
'url': 'https://admin.microsoft.com', - Network accessline 355
# Note: SharePoint management requires SharePointPnPPowerShellOnline module # Connect-PnPOnline -Url "https://{self.domain_name.split('.')[0]}-admin.sharepoint.com" -Interactive - Network accessline 356
# Connect-PnPOnline -Url "https://{self.domain_name.split('.')[0]}-admin.sharepoint.com" -Interactive
generated-skills/ms365-tenant-manager/user_management.py
- Executable scriptline 1
Executable file
generated-skills/prompt-factory/CHANGELOG.md
- Network accessline 359
Built with best practices from: - [Anthropic Prompt Engineering Guide](https://docs.anthropic.com/claude/docs/prompt-engineering) - Network accessline 360
- [Anthropic Prompt Engineering Guide](https://docs.anthropic.com/claude/docs/prompt-engineering) - Network accessline 361
- [OpenAI Prompt Engineering](https://platform.openai.com/docs/guides/prompt-engineering) - Network accessline 362
- [Google Gemini Best Practices](https://ai.google.dev/docs/prompt_best_practices)
generated-skills/prompt-factory/README.md
- Network accessline 380
### Getting Help - **Issues:** [GitHub Issues](https://github.com/your-repo/prompt-factory/issues) - Network accessline 381
- **Issues:** [GitHub Issues](https://github.com/your-repo/prompt-factory/issues) - Network accessline 382
- **Discussions:** [Community Forum](https://forum.example.com)
generated-skills/prompt-factory/examples/example-1-fullstack-api.md
- Access to secretsline 336
[Credential-related source omitted]
generated-skills/prompt-factory/references/best-practices-reference.md
- Network accessline 468
**Official Documentation:** - [Anthropic Prompt Engineering Guide](https://docs.anthropic.com/claude/docs/prompt-engineering) - Network accessline 469
- [Anthropic Prompt Engineering Guide](https://docs.anthropic.com/claude/docs/prompt-engineering) - Network accessline 470
- [OpenAI Prompt Engineering](https://platform.openai.com/docs/guides/prompt-engineering) - Network accessline 471
- [Google Gemini Best Practices](https://ai.google.dev/docs/prompt_best_practices) - Network accessline 473
**Community Resources:** - [Awesome Prompt Engineering](https://github.com/promptslab/Awesome-Prompt-Engineering) - Network accessline 474
- [Awesome Prompt Engineering](https://github.com/promptslab/Awesome-Prompt-Engineering) - Network accessline 475
- [LangChain Prompt Templates](https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/) - Network accessline 476
- [Prompt Engineering Reddit](https://reddit.com/r/PromptEngineering) - Network accessline 478
**Tools:** - [Claude Console](https://console.anthropic.com/) - Test prompts - Network accessline 479
- [Claude Console](https://console.anthropic.com/) - Test prompts - Network accessline 480
- [OpenAI Playground](https://platform.openai.com/playground) - Experiment with prompts - Network accessline 481
- [PromptPerfect](https://promptperfect.jina.ai/) - Optimize prompts
generated-skills/prompt-factory/scripts/batch_generator.py
- Executable scriptline 1
#!/usr/bin/env python3
generated-skills/prompt-factory/scripts/generate_prompt.py
generated-skills/prompt-factory/scripts/optimizer.py
- Executable scriptline 1
#!/usr/bin/env python3
generated-skills/prompt-factory/scripts/validator.py
- Executable scriptline 1
#!/usr/bin/env python3
generated-skills/prompt-factory/templates/presets/technical/mobile-engineer.md
- Access to secretsline 171
[Credential-related source omitted]
generated-skills/scrum-master-agent/HOW_TO_USE.md
- Network accessline 342
enabled: true channel: slack # or teams slack_webhook: https://hooks.slack.com/services/YOUR/WEBHOOK/URL - Network accessline 343
channel: slack # or teams slack_webhook: https://hooks.slack.com/services/YOUR/WEBHOOK/URL teams_webhook: https://outlook.office.com/webhook/YOUR/WEBHOOK/URL - Network accessline 344
slack_webhook: https://hooks.slack.com/services/YOUR/WEBHOOK/URL - Network accessline 345
teams_webhook: https://outlook.office.com/webhook/YOUR/WEBHOOK/URL - Network accessline 350
export NOTIFY_ENABLED=true export NOTIFY_CHANNEL=slack export SLACK_WEBHOOK_URL=https://hooks.slack.com/services/YOUR/WEBHOOK/URL - Network accessline 352
export SLACK_WEBHOOK_URL=https://hooks.slack.com/services/YOUR/WEBHOOK/URL - Network accessline 355
**Getting Webhook URLs:** - Slack: https://api.slack.com/messaging/webhooks - Network accessline 356
- Slack: https://api.slack.com/messaging/webhooks
generated-skills/scrum-master-agent/README.md
- Network accessline 61
*For Slack*: 1. Go to https://api.slack.com/messaging/webhooks - Network accessline 62
1. Go to https://api.slack.com/messaging/webhooks - Network accessline 91
export NOTIFY_ENABLED=true export NOTIFY_CHANNEL=slack # or teams export SLACK_WEBHOOK_URL=https://hooks.slack.com/services/YOUR/WEBHOOK/URL - Network accessline 92
export NOTIFY_CHANNEL=slack # or teams export SLACK_WEBHOOK_URL=https://hooks.slack.com/services/YOUR/WEBHOOK/URL # OR - Network accessline 93
export SLACK_WEBHOOK_URL=https://hooks.slack.com/services/YOUR/WEBHOOK/URL - Network accessline 95
export TEAMS_WEBHOOK_URL=https://outlook.office.com/webhook/YOUR/WEBHOOK/URL - Network accessline 134
# Slack test curl -X POST -H "Content-Type: application/json" \ - Network accessline 135
curl -X POST -H "Content-Type: application/json" \ - Network accessline 139
# Teams test curl -X POST -H "Content-Type: application/json" \ - Network accessline 140
curl -X POST -H "Content-Type: application/json" \
generated-skills/scrum-master-agent/SKILL.md
- Network accessline 362
export NOTIFY_ENABLED=true export NOTIFY_CHANNEL=slack # or teams export SLACK_WEBHOOK_URL=https://hooks.slack.com/services/YOUR/WEBHOOK/URL - Network accessline 363
export NOTIFY_CHANNEL=slack # or teams export SLACK_WEBHOOK_URL=https://hooks.slack.com/services/YOUR/WEBHOOK/URL export TEAMS_WEBHOOK_URL=https://outlook.office.com/webhook/YOUR/WEBHOOK/URL - Network accessline 364
export SLACK_WEBHOOK_URL=https://hooks.slack.com/services/YOUR/WEBHOOK/URL - Network accessline 365
export TEAMS_WEBHOOK_URL=https://outlook.office.com/webhook/YOUR/WEBHOOK/URL - Network accessline 370
*Slack*: 1. Go to https://api.slack.com/messaging/webhooks - Network accessline 371
1. Go to https://api.slack.com/messaging/webhooks
generated-skills/scrum-master-agent/calculate_metrics.py
- Executable scriptline 1
Executable file
generated-skills/scrum-master-agent/config.example.yaml
- Network accessline 13
# Slack webhook URL # Get webhook URL from: https://api.slack.com/messaging/webhooks - Network accessline 14
# Get webhook URL from: https://api.slack.com/messaging/webhooks - Network accessline 15
# Example: https://hooks.slack.com/services/T00000000/B00000000/XXXXXXXXXXXXXXXXXXXX - Network accessline 16
slack_webhook: https://hooks.slack.com/services/YOUR/WEBHOOK/URL - Network accessline 18
# Microsoft Teams webhook URL # Get webhook URL from Teams channel -> Connectors -> Incoming Webhook # Example: https://outlook.office.com/webhook/xxxx-xxxx-xxxx/IncomingWebhook/yyyy-yyyy-yyyy - Network accessline 19
# Get webhook URL from Teams channel -> Connectors -> Incoming Webhook # Example: https://outlook.office.com/webhook/xxxx-xxxx-xxxx/IncomingWebhook/yyyy-yyyy-yyyy teams_webhook: https://outlook.office.com/webhook/YOUR/WEBHOOK/URL - Network accessline 20
# Example: https://outlook.office.com/webhook/xxxx-xxxx-xxxx/IncomingWebhook/yyyy-yyyy-yyyy - Network accessline 21
teams_webhook: https://outlook.office.com/webhook/YOUR/WEBHOOK/URL - Network accessline 39
# export NOTIFY_ENABLED=true # export NOTIFY_CHANNEL=slack # export SLACK_WEBHOOK_URL=https://hooks.slack.com/services/YOUR/WEBHOOK/URL - Network accessline 40
# export NOTIFY_CHANNEL=slack # export SLACK_WEBHOOK_URL=https://hooks.slack.com/services/YOUR/WEBHOOK/URL # export TEAMS_WEBHOOK_URL=https://outlook.office.com/webhook/YOUR/WEBHOOK/URL - Network accessline 41
# export SLACK_WEBHOOK_URL=https://hooks.slack.com/services/YOUR/WEBHOOK/URL - Network accessline 42
# export TEAMS_WEBHOOK_URL=https://outlook.office.com/webhook/YOUR/WEBHOOK/URL - Network accessline 48
# Slack Setup: # ------------ # 1. Go to: https://api.slack.com/messaging/webhooks - Network accessline 49
# ------------ # 1. Go to: https://api.slack.com/messaging/webhooks # 2. Click "Create your Slack app" - Network accessline 50
# 1. Go to: https://api.slack.com/messaging/webhooks - Network accessline 126
# # Slack: # curl -X POST -H 'Content-Type: application/json' \ - Network accessline 127
# Slack: # curl -X POST -H 'Content-Type: application/json' \ # -d '{"text":"Test from Scrum Master"}' \ - Network accessline 128
# curl -X POST -H 'Content-Type: application/json' \ - Network accessline 131
# # Teams: # curl -X POST -H 'Content-Type: application/json' \ - Network accessline 132
# Teams: # curl -X POST -H 'Content-Type: application/json' \ # -d '{"text":"Test from Scrum Master"}' \ - Network accessline 133
# curl -X POST -H 'Content-Type: application/json' \ - Network accessline 144
# "enabled": false, # "channel": "slack", # "slack_webhook": "https://hooks.slack.com/services/YOUR/WEBHOOK/URL", - Network accessline 145
# "channel": "slack", # "slack_webhook": "https://hooks.slack.com/services/YOUR/WEBHOOK/URL", # "teams_webhook": "https://outlook.office.com/webhook/YOUR/WEBHOOK/URL" - Network accessline 146
# "slack_webhook": "https://hooks.slack.com/services/YOUR/WEBHOOK/URL", - Network accessline 147
# "teams_webhook": "https://outlook.office.com/webhook/YOUR/WEBHOOK/URL"
generated-skills/scrum-master-agent/detect_context.py
generated-skills/scrum-master-agent/format_output.py
- Executable scriptline 1
Executable file
generated-skills/scrum-master-agent/notify_channels.py
- Executable scriptline 1
Executable file - Network accessline 249
"contentType": "application/vnd.microsoft.card.adaptive", "content": { "$schema": "http://adaptivecards.io/schemas/adaptive-card.json", - Network accessline 250
"content": { "$schema": "http://adaptivecards.io/schemas/adaptive-card.json", "type": "AdaptiveCard", - Network accessline 251
"$schema": "http://adaptivecards.io/schemas/adaptive-card.json",
generated-skills/scrum-master-agent/parse_input.py
- Executable scriptline 1
Executable file
generated-skills/scrum-master-agent/prioritize_backlog.py
- Executable scriptline 1
Executable file
generated-skills/scrum-master-agent/tool_adapters.py
- Executable scriptline 1
Executable file
generated-skills/slash-command-factory/command_generator.py
- Executable scriptline 1
Executable file
generated-skills/slash-command-factory/validator.py
- Executable scriptline 1
Executable file
generated-skills/social-media-analyzer/analyze_performance.py
- Executable scriptline 1
Executable file
generated-skills/social-media-analyzer/calculate_metrics.py
- Executable scriptline 1
Executable file
generated-skills/tdd-guide/README.md
- Network accessline 68
# Option A: Clone from repository git clone https://github.com/your-org/tdd-guide-skill.git - Network accessline 69
git clone https://github.com/your-org/tdd-guide-skill.git - Access to secretsline 100
[Credential-related source omitted] - Network accessline 630
# Clone repository git clone https://github.com/your-org/tdd-guide-skill.git - Network accessline 631
git clone https://github.com/your-org/tdd-guide-skill.git
generated-skills/tdd-guide/coverage_analyzer.py
- Executable scriptline 1
Executable file
generated-skills/tdd-guide/fixture_generator.py
generated-skills/tdd-guide/format_detector.py
- Executable scriptline 1
Executable file
generated-skills/tdd-guide/framework_adapter.py
- Executable scriptline 1
Executable file
generated-skills/tdd-guide/metrics_calculator.py
- Executable scriptline 1
Executable file
generated-skills/tdd-guide/output_formatter.py
- Executable scriptline 1
Executable file
generated-skills/tdd-guide/tdd_workflow.py
- Executable scriptline 1
Executable file
generated-skills/tdd-guide/test_generator.py
- Executable scriptline 1
Executable file
generated-skills/tech-stack-evaluator/HOW_TO_USE.md
generated-skills/tech-stack-evaluator/README.md
generated-skills/tech-stack-evaluator/ecosystem_analyzer.py
- Executable scriptline 1
Executable file
generated-skills/tech-stack-evaluator/format_detector.py
- Executable scriptline 1
Executable file
generated-skills/tech-stack-evaluator/migration_analyzer.py
- Executable scriptline 1
Executable file
generated-skills/tech-stack-evaluator/report_generator.py
- Executable scriptline 1
Executable file
generated-skills/tech-stack-evaluator/security_assessor.py
- Executable scriptline 1
Executable file
generated-skills/tech-stack-evaluator/stack_comparator.py
- Executable scriptline 1
Executable file
generated-skills/tech-stack-evaluator/tco_calculator.py
- Executable scriptline 1
Executable file
How the signals fit together
Facts from a static read of the files at the pinned commit. They describe what the code does, not why.
Some files could not be read; the facts below still hold.
No combined signals at this commit.
Works with
| Agent | Status | Evidence | Install to |
|---|---|---|---|
| Claude Code | Native | Path .claude/agents/README.md | .claude/skills/<skill-name>/ |
| Codex | Compatible | Standard SKILL.md generated-skills/agent-factory/SKILL.md | .agents/skills/<skill-name>/ |
| Cursor | Compatible | Standard SKILL.md generated-skills/agent-factory/SKILL.md | .cursor/skills/<skill-name>/ |
| Gemini CLI | Compatible | Standard SKILL.md generated-skills/agent-factory/SKILL.md | .gemini/skills/<skill-name>/ |
| GitHub Copilot | Compatible | Standard SKILL.md generated-skills/agent-factory/SKILL.md | .github/skills/<skill-name>/ |
| OpenCode | Compatible | Standard SKILL.md generated-skills/agent-factory/SKILL.md | .opencode/skills/<skill-name>/ |
- Native The repository ships a manifest, folder or frontmatter field for this agent.
- Compatible A standard SKILL.md that this agent can read.
- Unknown No evidence either way.
Derived automatically from paths, manifests and frontmatter. Not tested on each agent.
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