Doc scanner
全球最大的 Claude Code 技能聚合库 · 收录 3900+ 来自 12+ 来源的技能,提供在线搜索与趋势分析看板 / The world's largest Claude Code skill aggregation hub — 3900+ skills from 12+ sources with online search and trend dashboard
npx -y skills add bg-szy/TOP-SKILLS --skill doc-scannerAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
- 4 stars4 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
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.
The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
2.5 KB, as published. Nobody here has run it
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:
- Create
.doc-archive/directory - Archive originals with date suffix
- Generate unified AGENTS.md
- 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
- AGENTS.md (platform-agnostic)
- CLAUDE.md (Claude-specific)
- Other AI docs
- IDE docs
- 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
When generating a NEW AGENTS.md, follow the entry-doc standard in
rules/agentic-quality.md (Landmines section mandatory, ~150-line budget) —
skeleton at the repo-doctor skill's assets/AGENTS-template.md. To AUDIT an
existing doc set rather than generate one, hand off to repo-doctor.