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Agent Skill · 开发

docs-and-changelogs(文档和变更日志)

用于辅助文档、README、Markdown、说明文和内容稿件的整理与改写。它适合让 Agent 提炼结构、补齐章节、统一术语、检查链接或把零散材料整理成可读文档。使用时应保留项目已有事实、命令和路径,不要把未确认的信息写成确定结论;涉及对外文案时,还需要控制语气,避免过度营销或夸大能力。

docs-and-changelogs 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描有未通过项,按安装量在开发类的 21,746 个 Skill 里排第 18,616。

总安装 326周安装 14GitHub Stars 3下载 114核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:docs-and-changelogs(文档和变更日志)
来源仓库:https://github.com/hopeoverture/worldbuilding-app-skills
仓库路径:skills/docs-and-changelogs
安装命令:
npx skills add https://github.com/hopeoverture/worldbuilding-app-skills --skill docs-and-changelogs
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/hopeoverture/worldbuilding-app-skills --skill docs-and-changelogs

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

自动化生成变更日志和产品需求文档。基于 Conventional Commits 解析提交历史。维护 ADR 架构决策记录和发布流程。集成语义化版本控制和发布自动化。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

docs-and-changelogs 属于开发类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/docs-and-changelogs

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/hopeoverture/worldbuilding-app-skills --skill…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

docs-and-changelogs 怎么安装?

在终端执行 npx skills add https://github.com/hopeoverture/worldbuilding-app-skills --skill docs-and-c…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

docs-and-changelogs 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

docs-and-changelogs 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

docs-and-changelogs 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

docs-and-changelogs 用的人多吗?

公开数据是累计安装 326 次,近一周安装 14 次,下载 114 次,GitHub 3 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

docs-and-changelogs 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
docs-and-changelogs

文档和变更日志 · 本页

3263需要联网未明确未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Documentation and Changelogs

Generate and maintain project documentation including changelogs, architectural decision records, and product requirement documents.

Overview

To manage project documentation effectively:

  1. Generate changelogs from git commit history using Conventional Commits
  2. Maintain CHANGELOG.md with semantic versioning
  3. Create architectural decision records (ADR) for significant decisions
  4. Scaffold product requirement documents (PRD) for new features
  5. Automate documentation updates as part of release process

Changelog Generation

To generate changelogs from Conventional Commits:

  1. Parse git commit history for conventional commit messages
  2. Categorize commits by type (feat, fix, chore, docs, etc.)
  3. Group by version/release using git tags
  4. Format according to Keep a Changelog standards
  5. Append to existing CHANGELOG.md or create new file

Use scripts/generate_changelog.py to automate changelog generation from commit history.

Conventional Commits Format

Follow this commit message structure:

<type>[optional scope]: <description>

[optional body]

[optional footer(s)]

Types:

  • feat: New feature
  • fix: Bug fix
  • docs: Documentation changes
  • style: Code style changes (formatting, semicolons, etc.)
  • refactor: Code refactoring without feature changes
  • perf: Performance improvements
  • test: Adding or updating tests
  • chore: Maintenance tasks
  • ci: CI/CD changes

Breaking Changes:

  • Add BREAKING CHANGE: in footer or ! after type
  • Example: feat!: redesign entity schema structure

CHANGELOG.md Maintenance

To maintain changelog file:

  1. Structure with sections: Unreleased, versioned releases
  2. Use semantic versioning (MAJOR.MINOR.PATCH)
  3. Group changes by category (Added, Changed, Deprecated, Removed, Fixed, Security)
  4. Include links to commits and pull requests
  5. Add release dates in ISO format (YYYY-MM-DD)

Consult references/changelog-format.md for detailed formatting guidelines and examples.

Architectural Decision Records (ADR)

To create architectural decision records:

  1. Use scripts/create_adr.py to scaffold new ADR file
  2. Number ADRs sequentially (0001-title.md, 0002-title.md)
  3. Include standard sections: Context, Decision, Consequences
  4. Document alternatives considered
  5. Reference related ADRs

Use assets/adr-template.md as starting point for new ADRs.

ADR Structure

Standard ADR sections:

  • Title: Short, descriptive name
  • Status: Proposed, Accepted, Deprecated, Superseded
  • Context: What problem are we solving?
  • Decision: What did we decide to do?
  • Consequences: What are the tradeoffs and impacts?
  • Alternatives Considered: What other options were evaluated?

Product Requirement Documents (PRD)

To scaffold product requirement documents:

  1. Use scripts/create_prd.py to generate PRD template
  2. Define problem statement and goals
  3. List functional and non-functional requirements
  4. Include user stories and acceptance criteria
  5. Document technical constraints and dependencies

Reference assets/prd-template.md for comprehensive PRD structure.

PRD Sections

Standard PRD components:

  • Overview: High-level description
  • Problem Statement: What problem are we solving?
  • Goals and Non-Goals: Scope definition
  • User Stories: Who, what, why format
  • Requirements: Functional and non-functional
  • Design Considerations: UI/UX, architecture
  • Success Metrics: How to measure success
  • Timeline: Development phases

Implementation Steps

Generate Changelog from Commits

To generate changelog:

  1. Collect Commits python scripts/generate_changelog.py --since v1.0.0
  2. Categorize Changes

- Parse commit messages for conventional commit types - Extract breaking changes - Group by scope if present

  1. Format Output

- Generate markdown with appropriate headings - Link to commits and PRs - Add version header with date

  1. Update CHANGELOG.md

- Prepend new version section - Maintain existing content - Update "Unreleased" section

Create New ADR

To document architectural decision:

  1. Generate ADR File python scripts/create_adr.py "use postgresql for entity storage"
  2. Fill Template

- Document context and constraints - Explain decision rationale - List consequences and tradeoffs

  1. Review and Commit

- Get team feedback - Update status to "Accepted" - Link from main architecture docs

Scaffold New PRD

To create product requirements:

  1. Generate PRD Template python scripts/create_prd.py "timeline visualization feature"
  2. Complete Sections

- Define problem and goals - Write user stories - List requirements

  1. Review with Stakeholders

- Get product team input - Validate technical feasibility - Refine scope and requirements

Automation

To automate documentation updates:

Release Workflow Integration

Add to .github/workflows/release.yml:

- name: Generate changelog
  run: python scripts/generate_changelog.py --output CHANGELOG.md

- name: Commit changelog
  run: |
    git config user.name github-actions
    git config user.email github-actions@github.com
    git add CHANGELOG.md
    git commit -m "docs: update changelog for ${{ github.ref_name }}"

Pre-commit Hook

Add to .git/hooks/commit-msg:

#!/bin/bash
# Validate conventional commit format
python scripts/validate_commit_msg.py "$1"

Documentation Structure

Organize project documentation:

docs/
├── CHANGELOG.md           # Version history
├── ADR/                   # Architectural decisions
│   ├── 0001-use-nextjs.md
│   └── 0002-database-choice.md
├── PRD/                   # Product requirements
│   ├── timeline-feature.md
│   └── entity-relationships.md
└── api/                   # API documentation
    └── endpoints.md

Best Practices

Changelog

  • Write for users, not developers
  • Use present tense ("Add" not "Added")
  • Link to relevant issues/PRs
  • Highlight breaking changes prominently
  • Keep entries concise and clear

ADR

  • Write when decision is made, not after
  • Document alternatives considered
  • Be honest about tradeoffs
  • Update status if decision changes
  • Link related ADRs

PRD

  • Start with user needs, not solutions
  • Include success metrics
  • Define scope clearly (goals and non-goals)
  • Get stakeholder buy-in early
  • Update as requirements evolve

Version Management

To manage semantic versioning:

  1. MAJOR: Breaking changes (incompatible API changes)
  2. MINOR: New features (backward-compatible)
  3. PATCH: Bug fixes (backward-compatible)

Use scripts/bump_version.py to update version across package.json, changelog, and tags.

Release Notes

To generate release notes:

  1. Extract relevant changelog section
  2. Add highlights and notable changes
  3. Include upgrade instructions if needed
  4. Link to full changelog
  5. Publish to GitHub releases

Use scripts/generate_release_notes.py to create formatted release notes from changelog.

Troubleshooting

Common issues:

  • Commits Not Categorized: Ensure commits follow Conventional Commits format
  • Missing Version: Tag releases in git with semantic version numbers
  • Duplicate Entries: Check for merge conflicts in CHANGELOG.md
  • Broken Links: Verify commit SHAs and PR numbers are correct

平台分布

Codex

33.93%
按下载量换算39

Claude

30.2%
按下载量换算34

Cursor

17.93%
按下载量换算20

Gemini CLI

8.79%
按下载量换算10

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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