tracedocs

Turn any codebase into an evidence-grounded documentation package (overview, operation, deployment, learning, architecture, API/data, troubleshooting, maintenance) plus a machine-readable index.json for AI agents. Every operational/deployment claim cites a source file and a confidence label (Verified / Inferred / Unknown / Needs confirmation); it never invents deployment steps and records gaps instead.

Full skill, references, templates, and a validated sample output: https://github.com/wxggzz/tracedocs (MIT).

When to Use This Skill

• Onboarding to, or documenting, an unfamiliar codebase
• Producing durable, in-repo docs for operation, deployment, and maintenance
• Preparing an AI-agent-ready knowledge handoff (with index.json)
• Turning a repo into a study guide whose claims are traceable to source