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Devops/Changelog Generation

Community
echoVic
devops/changelog-generation

自动生成 CHANGELOG,基于 git 提交历史和 pipeline 产物信息,遵循 Conventional Commits 和 Keep a Changelog 规范

Overview

PublisherechoVic
Repositoryboss-skill
Skill namedevops/changelog-generation
Stars
562
Forks
51
Bundled files
Instructions only
LicenseMIT
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Devops/Changelog Generation 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.
    https://github.com/echoVic/boss-skill/tree/main/skill/skills/devops/changelog-generation
  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/echoVic/boss-skill.git /tmp/boss-skill
mkdir -p .claude/skills
cp -r /tmp/boss-skill/skill/skills/devops/changelog-generation .claude/skills/echovic-devops-changelog-generation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Devops/Changelog Generation 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 Devops/Changelog Generation 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 Devops/Changelog Generation 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.

CHANGELOG 自动生成

适用场景

在部署成功完成后自动生成或追加 CHANGELOG,记录本次发布的所有变更。适用于:

  • 部署完成后的发布记录
  • 版本发布前的变更汇总
  • 对外发布说明的自动生成

核心方法

步骤 1:信息收集

  1. Git 历史解析:

    bash
    # 获取从上次 tag 到 HEAD 的所有提交
    git log $(git describe --tags --abbrev=0 2>/dev/null || git rev-list --max-parents=0 HEAD)..HEAD --pretty=format:"%H|%s|%an|%ai"
    • 如果没有 tag,取最近 50 条提交
    • 解析 Conventional Commits 格式:type(scope): description
  2. Pipeline 产物读取:

    • .boss/<feature>/prd.md → 功能描述和用户价值
    • .boss/<feature>/deploy-report.md → 部署环境和版本信息
    • .boss/<feature>/tasks.md → 完成的任务列表
  3. 版本号确定:

    • 优先使用 package.json 中的 version
    • 其次使用最新 git tag
    • 如无法确定,使用日期格式 YYYY.MM.DD

步骤 2:变更分类

按 Conventional Commits 规范分类:

类型CHANGELOG 分类说明
featAdded新增功能
fixFixed修复问题
perfPerformance性能优化
refactorChanged重构(非功能变更)
docsDocumentation文档更新
style(不记录)代码格式
test(不记录)测试相关
chore(不记录)构建/工具变更
BREAKING CHANGE⚠️ Breaking Changes破坏性变更(始终置顶)

对于非 Conventional Commits 格式的提交:

  • 根据关键词推断分类(add/new → Added, fix/bug → Fixed, update/change → Changed)
  • 无法分类的归入 Changed

步骤 3:内容生成

格式规范(Keep a Changelog)
markdown
## [版本号] - YYYY-MM-DD

### ⚠️ Breaking Changes
- 破坏性变更描述 ([commit-hash])

### Added
- 新功能描述(来自 PRD 的用户价值说明) ([commit-hash])

### Changed
- 变更描述 ([commit-hash])

### Fixed
- 修复描述 ([commit-hash])

### Performance
- 优化描述 ([commit-hash])
生成规则
  1. 每条记录包含:清晰描述 + commit short hash 引用
  2. 如有 PRD,用 PRD 中的功能描述替代 commit message(更面向用户)
  3. Breaking Changes 始终置顶并用 ⚠️ 标记
  4. 同一 scope 的多条提交合并为一条记录
  5. 最多展示 20 条变更,超出部分汇总为 "及其他 N 项更新"

步骤 4:输出写入

两种输出模式:

  1. 产物模式(默认):写入 .boss/<feature>/changelog.md
  2. 追加模式:如项目根目录已有 CHANGELOG.md,将新版本内容追加到文件顶部(在 # Changelog 标题之后)

追加逻辑:

读取现有 CHANGELOG.md
→ 找到第一个 ## [version] 行
→ 在其前面插入新版本内容
→ 写回文件

如果项目无 CHANGELOG.md,则创建包含标准头部的新文件:

markdown
# Changelog

All notable changes to this project will be documented in this file.

The format is based on [Keep a Changelog](https://keepachangelog.com/).

## [版本号] - 日期
...

输出要求

  1. 产物文件 .boss/<feature>/changelog.md 必须生成
  2. 如项目根存在 CHANGELOG.md,同步更新
  3. 变更内容必须准确反映实际代码变更
  4. 面向用户的描述优先于面向开发者的 commit message

Frequently asked questions

What does the Devops/Changelog Generation AI skill do?

自动生成 CHANGELOG,基于 git 提交历史和 pipeline 产物信息,遵循 Conventional Commits 和 Keep a Changelog 规范

Why use Devops/Changelog Generation on TypingMind?

Because you install it once and use it with any model. Devops/Changelog Generation 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 Devops/Changelog Generation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/echoVic/boss-skill/tree/main/skill/skills/devops/changelog-generation. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Devops/Changelog Generation?

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 Devops/Changelog Generation?

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

Is the Devops/Changelog Generation AI skill free?

Yes. It is published on GitHub by echoVic under the MIT license. 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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