doc-scanner
Scannednpx machina-cli add skill aiskillstore/marketplace/doc-scanner --openclawDocumentation 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
Source
git clone https://github.com/aiskillstore/marketplace/blob/main/skills/0xdarkmatter/doc-scanner/SKILL.mdView on GitHub Overview
Scans for and synthesizes project documentation across formats (AGENTS.md, CLAUDE.md, GEMINI.md, COPILOT.md, CURSOR.md, WARP.md, and 15+ others) into a unified guidance set. It auto-activates when you want to review a codebase, start a new project, or explore conventions or agents, and can consolidate multiple platform docs into a single AGENTS.md for consistency and onboarding.
How This Skill Works
Steps: 1) Glob-search the project root for documented files such as AGENTS.md, CLAUDE.md, AI.md, ASSISTANT.md, GEMINI.md, COPILOT.md, CURSOR.md, WARP.md, and others. 2) Read all found files, then synthesize a unified summary with sources, recommended agents, workflows, conventions, and quick commands. 3) If 2+ docs exist, offer consolidation by creating a .doc-archive/ directory, archiving originals with a date suffix, generating a unified AGENTS.md, and reporting what was consolidated; if none are found, generate AGENTS.md based on project structure and observed patterns.
When to Use It
- Review or explore a codebase by generating a synthesized documentation briefing
- Start work in a new or unfamiliar project to establish conventions
- Ask about project conventions, agent roles, or recommended workflows
- Before making significant architectural decisions to align with docs
- When documentation context would help onboarding or decision making
Quick Start
- Step 1: Run doc-scanner at the project root to scan for documented files (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 the found documents and let the scanner synthesize a unified summary with sources and recommended agents
- Step 3: If multiple docs exist, opt to consolidate into AGENTS.md, review the generated report, and optionally archive originals in .doc-archive/ with a date suffix
Best Practices
- Use a comprehensive scan list to avoid missing essential files (AGENTS.md, CLAUDE.md, GEMINI.md, COPILOT.md, CURSOR.md, WARP.md, and 15+ others)
- Validate sources before consolidation; preserve originals and note changes
- Prioritize generating a platform-agnostic AGENTS.md first, then specialized docs
- When consolidating, create .doc-archive/ and suffix filenames with date
- Keep SOURCES and RECOMMENDED AGENTS sections updated with new docs or patterns
Example Use Cases
- A codebase with AGENTS.md, CLAUDE.md, and GEMINI.md yields a unified AGENTS.md for onboarding
- Consolidation creates a single authoritative doc and archives originals
- No docs found; the scanner generates AGENTS.md from observed structure and tech stack
- Before a major refactor, the tool proposes recommended workflows and agent roles
- New engineer uses the synthesized AGENTS.md to understand project conventions quickly