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tracedocs

Turn a codebase into Markdown guides for operation, deployment, architecture, and maintenance, plus an index.json for AI agents. Operational claims include source references and confidence labels, while unverified deployment details remain documented gaps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Turn any codebase into evidence-grounded Markdown docs plus a machine-readable index.json. Every claim cites its source; never invents deployment steps.

설치 방법 보기

이럴 때 유용합니다

  • Understand an unfamiliar codebase
  • Create source-backed operation and deployment guides
  • Prepare documentation and an index for an AI agent handoff
  • Build study materials traceable to source files

포함된 파일(1)

  • SKILL.md1.9 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

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

What This Skill Does

  1. Analyzes the codebase (stack, scripts, entry points, env-var names, deploy signals, tests).
  2. Builds an evidence map (source map, assumptions, generation log) with confidence labels.
  3. Writes the Markdown manuals and an index.json manifest; never invents deployment steps.
  4. Runs a quality check (paths exist, commands sourced, no secret values, gaps documented).

How to Use

Basic Usage

Use tracedocs to generate evidence-grounded study docs for this repository. Write the output to study-docs/.

Example

User: "Document ./my-app with tracedocs"

The skill scans the repo and writes a study-docs/ package (00-10 manuals + index.json + _evidence/), citing each operational claim's source and labelling its confidence - and explicitly noting anything it cannot verify (for example, "no deployment configuration found in the repo").

리뷰

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