hook-factory
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.
Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security
Installation for Agentic Skill
View all platforms →skilz install alirezarezvani/claude-code-skill-factory/hook-factoryskilz install alirezarezvani/claude-code-skill-factory/hook-factory --agent opencodeskilz install alirezarezvani/claude-code-skill-factory/hook-factory --agent codexskilz install alirezarezvani/claude-code-skill-factory/hook-factory --agent geminiFirst time? Install Skilz: pip install skilz
Works with 22+ AI coding assistants
Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...
Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/alirezarezvani/claude-code-skill-factorycp -r claude-code-skill-factory/generated-skills/hook-factory ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Owner
- alirezarezvani (GitHub)
- Repository
- claude-code-skill-factory
- Stars
- 325
- Forks
- 73
- Type
- Non-Technical
- Meta-Domain
- development
- Primary Domain
- github
- Market Score
- 0
Agent Skill Grade
D Score: 69/100 Click to see breakdown
Score Breakdown
Areas to Improve
- Description needs trigger phrases
- Missing Reference Files
- Second-Person Perspective
Recommendations
- Address 2 high-severity issues first
- Add trigger phrases to description for discoverability
- Add table of contents for files over 100 lines
Graded: 2026-01-24
Developer Feedback
I was curious about how you're structuring the hook lifecycle—managing the event emission, dependency resolution, and cleanup in a single factory pattern feels like it could get complex fast. How are you handling cases where hooks need to fire in a specific order or have interdependencies?
Links:
The TL;DR
You're at 69/100, solidly in D territory. This is based on Anthropic's skill quality rubric—think of it as how well your skill balances token efficiency, clarity, and practical value. Your strongest area is Ease of Use (19/25)—the metadata and workflow structure are solid. The biggest drag is Progressive Disclosure Architecture (20/30)—you've got a 462-line SKILL.md that's trying to do too much in one place.
What's Working Well
- Clear modes and templates: Three distinct usage patterns (auto-format, test-runner, git-auto-add) with 10 templates give users concrete options to work with
- Solid metadata structure: Your frontmatter is valid, name conventions are correct, and the skill is technically discoverable
- Practical examples: You've included actual Q&A interactions showing how the skill works in practice, which helps users understand the flow
The Big One: Missing Reference Architecture
Here's what's holding you back the most: Your SKILL.md claims an examples/ directory with 10 reference folders (auto-format-python/, git-auto-add/, test-runner/, etc.), but these files don't actually exist. This breaks Progressive Disclosure—you're promising layered reference material that isn't there, and it costs you 8 points.
Why it matters: A 462-line monolithic file is hard to navigate and token-expensive. Progressive Disclosure means building a pyramid: th...
AI-Detected Topics
Extracted using NLP analysis
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