Awesome-agent-skills git-commit

Git commit message generator that creates conventional commit messages based on code changes.

install
source · Clone the upstream repo
git clone https://github.com/JackyST0/awesome-agent-skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/JackyST0/awesome-agent-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/examples/git-commit" ~/.claude/skills/jackyst0-awesome-agent-skills-git-commit && rm -rf "$T"
manifest: examples/git-commit/SKILL.md
source content

Git Commit

Git 提交信息生成技能,根据代码变更自动生成规范的 commit message。

Git commit message generator that creates conventional commit messages based on code changes.

When to Use

当用户请求以下操作时使用此 skill:

  • 生成 commit message / Generate commit message
  • 写提交信息 / Write commit message
  • 提交代码 / Commit code
  • 描述代码变更 / Describe code changes

Instructions

提交信息格式 / Commit Message Format

遵循 Conventional Commits 规范:

<type>(<scope>): <subject>

<body>

<footer>

类型 / Types

Type说明 / Description
feat新功能 / New feature
fix修复 bug / Bug fix
docs文档变更 / Documentation
style格式调整 / Formatting
refactor重构 / Refactoring
perf性能优化 / Performance
test测试相关 / Tests
chore构建/工具 / Build/tools

生成步骤 / Generation Steps

  1. 分析变更 - 查看
    git diff
    git status
  2. 确定类型 - 根据变更内容选择合适的 type
  3. 提取范围 - 确定影响的模块或组件
  4. 撰写主题 - 用简洁的语言描述变更(50 字符内)
  5. 添加正文 - 如需要,详细说明变更原因和影响

规则 / Rules

  • 主题行不超过 50 个字符
  • 使用祈使句(如 "add" 而非 "added")
  • 主题行首字母小写
  • 主题行结尾不加句号
  • 正文每行不超过 72 个字符

Examples

示例 1:新功能

feat(auth): add OAuth2 login support

- Add Google OAuth2 provider
- Add GitHub OAuth2 provider
- Update login page with social login buttons

示例 2:修复 Bug

fix(api): resolve null pointer in user service

The getUserById method was not handling the case when
user doesn't exist, causing a NullPointerException.

Closes #123

示例 3:文档更新

docs(readme): update installation instructions

Add Docker setup guide and clarify environment variables.

示例 4:重构

refactor(database): migrate from callbacks to async/await

Convert all database operations to use async/await pattern
for better readability and error handling.