documentation-research
Enforces documentation research before implementation. Auto-loads when implementing features to ensure current best practices are followed. Researches official docs first.
Best use case
documentation-research is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Enforces documentation research before implementation. Auto-loads when implementing features to ensure current best practices are followed. Researches official docs first.
Teams using documentation-research should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/documentation-research/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How documentation-research Compares
| Feature / Agent | documentation-research | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Enforces documentation research before implementation. Auto-loads when implementing features to ensure current best practices are followed. Researches official docs first.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Documentation Research Skill This skill enforces documentation research before any technical implementation to ensure code follows current best practices. ## Core Principle **NO IMPLEMENTATION WITHOUT DOCUMENTATION RESEARCH** Before writing ANY code: 1. Search official documentation online 2. Verify current best practices 3. Check for deprecated patterns 4. Report findings to user 5. Only then proceed ## Documentation Sources | Technology | Primary Documentation | |------------|----------------------| | Django | docs.djangoproject.com | | FastAPI | fastapi.tiangolo.com | | React | react.dev | | Python | docs.python.org | | TypeScript | typescriptlang.org/docs | ## Research Protocol 1. **Search Official Docs** - Use WebSearch/WebFetch 2. **Verify Version** - Check latest stable release 3. **Review Best Practices** - Note recommended patterns 4. **Check Deprecations** - Avoid outdated APIs 5. **Document Findings** - Summarize before implementing ## Report Format ``` 📚 Documentation Research Summary ══════════════════════════════════ 🔍 Technology: [Framework] 📦 Version: [Version] ✅ CURRENT BEST PRACTICES • [Practice 1] • [Practice 2] ⚠️ DEPRECATED PATTERNS (Avoid) • [Pattern] - Use [alternative] instead 📖 SOURCES • [URL] Ready to proceed? (yes/no) ``` ## Enforcement Rules 1. Documentation research is non-negotiable 2. Always verify which version is being used 3. Check for deprecated APIs before using 4. Follow security best practices from docs
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