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Docs Ci

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jh941213
docs-ci

docs-as-code CI/CD 파이프라인 스캐폴딩 + 문서 드리프트 감지 — 링크 체크, OpenAPI lint/breaking 게이트, mermaid 검증, 문서 신선도 검사, CHANGELOG 자동화, docs.yaml 매니페스트. docs CI/문서 파이프라인 설치, 문서 드리프트·신선도 감지, docs sync 자동화, 링크 체크, changelog 자동화가 필요할 때. 문서 내용 작성은 docs-architecture/interfaces/manuals, 앱 자체 배포 파이프라인에는 사용하지 않음

Overview

Publisherjh941213
Repositorymy-cc-harness
Skill namedocs-ci
Stars
125
Forks
35
Bundled files
2
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by jh941213 on GitHub. Read the source before you install it.

Installation

Install the Docs Ci AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/jh941213/my-cc-harness.git /tmp/my-cc-harness
mkdir -p .claude/skills
cp -r /tmp/my-cc-harness/skills/docs-ci .claude/skills/docs-ci
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Docs Ci in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Docs Ci on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Docs Ci is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Docs CI 스킬 — 문서를 코드처럼 검증한다

문서 내용이 아니라 문서를 지키는 파이프라인을 만든다. 산출물은 GitHub Actions 워크플로우 + 드리프트 감지 스크립트 + docs/docs.yaml 매니페스트 규약.

입력

$ARGUMENTS

docs.yaml 매니페스트 (드리프트 감지의 계약)

docs 스위트의 모든 스킬이 쓰고, 이 스킬의 검사가 소비한다:

yaml
# docs/docs.yaml — 문서 ↔ 코드 매핑
docs:
  - path: docs/ARCHITECTURE.md
    covers: ["src/**"]          # 이 문서가 설명하는 코드 경로
    last_reviewed: 2026-07-27   # 마지막으로 사람이/에이전트가 검토한 날
  - path: docs/api/openapi.yaml
    covers: ["src/api/**", "src/routes/**"]
    last_reviewed: 2026-07-27
  - path: docs/ops/runbooks/
    covers: ["deploy/**", "monitoring/**"]
    last_reviewed: 2026-07-27
review_max_age_days: 90

드리프트 판정: covers 경로의 최신 커밋이 last_reviewed보다 새로우면 stale. review_max_age_days 초과도 stale.

설치하는 검사 (프로젝트에 맞게 선택)

검사도구/방법실패 정책
깨진 링크lychee (lycheeverse/lychee-action)내부 링크 깨짐 = fail, 외부 = warn
OpenAPI 스타일redocly lint 또는 spectral lintfail
API breaking 변경oasdiff breaking base rev --fail-on ERRfail + PR 코멘트
Code-first 명세 드리프트CI에서 명세 재생성 → git diff --exit-codefail
mermaid 문법블록 추출 → mmdc -i x.mmd -o /dev/nullfail
문서 신선도scripts/check-docs-freshness.sh (docs.yaml 기반)warn (또는 이슈 생성)
문서-코드 동시 변경src/api/** 변경 && docs/api/** 미변경 → PR 경고 코멘트warn
CHANGELOGconventional commits + git cliff (릴리스 시)자동 생성
프리뷰 배포docs 사이트 있으면 PR별 프리뷰 URL

CHANGELOG 자동화 주의: 커밋 형식이 [타입] 제목(rules/git-workflow.md)이면 conventional commits가 아니므로 git-cliff 커스텀 파서(commit_parsers) 설정 필요.

실행 절차

  1. 프로젝트 진단: 어떤 문서/명세가 존재하나 (docs/, openapi.*, mermaid 블록, docs 사이트 생성기)
  2. 존재하는 것에 맞는 검사만 선택 — OpenAPI 없는 프로젝트에 spectral 게이트 넣지 않기
  3. docs/docs.yaml 생성/갱신 (기존 문서 스캔해서 covers 초안 작성 — 사용자가 다듬을 수 있게 주석 포함)
  4. {project}/scripts/check-docs-freshness.sh 생성 — 템플릿 templates/check-docs-freshness.sh를 대상 프로젝트의 {project}/scripts/로 복사
  5. .github/workflows/docs-ci.yml 생성 (템플릿: templates/docs-ci.yml에서 해당 프로젝트에 필요한 잡만) — 트리거 브랜치가 main 고정이므로 브랜치 전략에 맞게 조정 (develop 운용 시 추가)
  6. 로컬에서 1회 실행해 결과 확인 후 보고: bash scripts/check-docs-freshness.sh

하네스 연동 (이 플러그인의 다른 컴포넌트와)

  • TTH 모드: hooks/docs-sync.sh가 스토리 완료마다 변경 파일을 .docs-queue/에 적재 → ralph-loop가 docs-writer 스폰. docs-ci는 그 결과를 CI에서 다시 검증하는 마지막 층
  • /docs sync 커맨드: docs.yaml 기반 stale 문서 목록을 보고 → 해당 영역의 docs-* 스킬로 갱신 위임

제약

  • 워크플로우/스크립트/docs/만 생성. 앱 소스 수정 금지
  • 설치 안 된 도구를 요구하는 검사는 continue-on-error 또는 조건부(if: hashFiles(...))로
  • 기존 CI 워크플로우가 있으면 덮어쓰지 말고 별도 docs-ci.yml로 추가

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Docs Ci AI skill do?

docs-as-code CI/CD 파이프라인 스캐폴딩 + 문서 드리프트 감지 — 링크 체크, OpenAPI lint/breaking 게이트, mermaid 검증, 문서 신선도 검사, CHANGELOG 자동화, docs.yaml 매니페스트. docs CI/문서 파이프라인 설치, 문서 드리프트·신선도 감지, docs sync 자동화, 링크 체크, changelog 자동화가 필요할 때. 문서 내용 작성은 docs-architecture/interfaces/manuals, 앱 자체 배포 파이프라인에는 사용하지 않음

Why use Docs Ci on TypingMind?

Because you install it once and use it with any model. Docs Ci is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Docs Ci in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jh941213/my-cc-harness/tree/main/skills/docs-ci. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Docs Ci?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Docs Ci?

As many as you like. As long as a model supports skills, you can use Docs Ci with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Docs Ci AI skill free?

It is published on GitHub by jh941213. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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