doc-scanner
Scans for project documentation files (AGENTS.md, CLAUDE.md, GEMINI.md, COPILOT.md, CURSOR.md, WARP.md, and 15+ other formats) and synthesizes guidance. Auto-activates when user asks to review, understand, or explore a codebase, when starting work in a new project, when asking about conventions or agents, or when documentation context would help. Can consolidate multiple platform docs into unified AGENTS.md.
Best use case
doc-scanner is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Scans for project documentation files (AGENTS.md, CLAUDE.md, GEMINI.md, COPILOT.md, CURSOR.md, WARP.md, and 15+ other formats) and synthesizes guidance. Auto-activates when user asks to review, understand, or explore a codebase, when starting work in a new project, when asking about conventions or agents, or when documentation context would help. Can consolidate multiple platform docs into unified AGENTS.md.
Scans for project documentation files (AGENTS.md, CLAUDE.md, GEMINI.md, COPILOT.md, CURSOR.md, WARP.md, and 15+ other formats) and synthesizes guidance. Auto-activates when user asks to review, understand, or explore a codebase, when starting work in a new project, when asking about conventions or agents, or when documentation context would help. Can consolidate multiple platform docs into unified AGENTS.md.
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "doc-scanner" skill to help with this workflow task. Context: Scans for project documentation files (AGENTS.md, CLAUDE.md, GEMINI.md, COPILOT.md, CURSOR.md, WARP.md, and 15+ other formats) and synthesizes guidance. Auto-activates when user asks to review, understand, or explore a codebase, when starting work in a new project, when asking about conventions or agents, or when documentation context would help. Can consolidate multiple platform docs into unified AGENTS.md.
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/doc-scanner/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How doc-scanner Compares
| Feature / Agent | doc-scanner | 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?
Scans for project documentation files (AGENTS.md, CLAUDE.md, GEMINI.md, COPILOT.md, CURSOR.md, WARP.md, and 15+ other formats) and synthesizes guidance. Auto-activates when user asks to review, understand, or explore a codebase, when starting work in a new project, when asking about conventions or agents, or when documentation context would help. Can consolidate multiple platform docs into unified AGENTS.md.
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 Scanner Scan for and synthesize project documentation. ## When to Activate - User asks to review, understand, or explore a codebase - Starting work in a new/unfamiliar project - User asks about project conventions or workflows - Before making significant architectural decisions ## Instructions ### Step 1: Scan for Documentation Use Glob to search project root: ``` AGENTS.md, CLAUDE.md, AI.md, ASSISTANT.md, GEMINI.md, COPILOT.md, CHATGPT.md, CODEIUM.md, CURSOR.md, WINDSURF.md, VSCODE.md, JETBRAINS.md, WARP.md, FIG.md, DEVCONTAINER.md, GITPOD.md ``` ### Step 2: Read All Found Files Read complete contents of every documentation file found. ### Step 3: Synthesize Combine information into unified summary: ``` PROJECT DOCUMENTATION Sources: [list files found] RECOMMENDED AGENTS Primary: [agents for core work] Secondary: [agents for specific tasks] KEY WORKFLOWS [consolidated workflows] CONVENTIONS [code style, patterns] QUICK COMMANDS [common commands] ``` ### Step 4: Offer Consolidation If 2+ documentation files exist, offer to consolidate: 1. Create `.doc-archive/` directory 2. Archive originals with date suffix 3. Generate unified AGENTS.md 4. Report what was consolidated ### Step 5: No Documentation Found If none found, offer to generate AGENTS.md based on: - Project structure and tech stack - Patterns observed in codebase ## Priority Order 1. AGENTS.md (platform-agnostic) 2. CLAUDE.md (Claude-specific) 3. Other AI docs 4. IDE docs 5. Terminal docs ## Additional Resources For detailed patterns, load: - `./references/file-patterns.md` - Complete list of files to scan - `./references/templates.md` - AGENTS.md generation templates
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