MCP HubMCP Hub
返回技能列表

generating-conventional-commits

jeremylongshore
更新于 Today
64 次查看
712
74
712
在 GitHub 上查看
ai

关于

This skill analyzes staged Git changes and automatically generates commit messages that follow the conventional commits specification. It helps developers quickly create clear, standardized commit messages when preparing to commit code changes. You can trigger it with commands like "generate commit message" to maintain consistency in your project's Git workflow.

快速安装

Claude Code

推荐
插件命令推荐
/plugin add https://github.com/jeremylongshore/claude-code-plugins-plus
Git 克隆备选方式
git clone https://github.com/jeremylongshore/claude-code-plugins-plus.git ~/.claude/skills/generating-conventional-commits

在 Claude Code 中复制并粘贴此命令以安装该技能

技能文档

Overview

This skill helps you create well-formatted, informative commit messages that follow the conventional commits standard, improving collaboration and automation in your Git workflow. It saves you time and ensures consistency across your project.

How It Works

  1. Analyze Changes: The skill analyzes the staged changes in your Git repository.
  2. Generate Suggestion: It uses AI to generate a commit message based on the analyzed changes, adhering to the conventional commits format (e.g., feat: add new feature, fix: correct bug).
  3. Present to User: The generated commit message is presented to you for review and acceptance.

When to Use This Skill

This skill activates when you need to:

  • Create a commit message after making code changes.
  • Ensure your commit messages follow the conventional commits standard.
  • Save time writing commit messages manually.

Examples

Example 1: Adding a New Feature

User request: "Generate a commit message for these changes."

The skill will:

  1. Analyze the staged changes related to a new feature.
  2. Generate a commit message like feat: Implement user authentication.

Example 2: Fixing a Bug

User request: "Create a commit for the bug fix."

The skill will:

  1. Analyze the staged changes related to a bug fix.
  2. Generate a commit message like fix: Resolve issue with incorrect password reset.

Best Practices

  • Stage Changes: Ensure all relevant changes are staged before using the skill.
  • Review Carefully: Always review the generated commit message before accepting it.
  • Customize if Needed: Feel free to customize the generated message to provide more context.

Integration

This skill integrates with your Git workflow, providing a convenient way to generate commit messages directly within Claude Code. It complements other Git-related skills in the DevOps Automation Pack, such as /branch-create and /pr-create.

GitHub 仓库

jeremylongshore/claude-code-plugins-plus
路径: backups/skills-batch-20251204-000554/plugins/packages/devops-automation-pack/skills/devops-automation-pack
aiautomationclaude-codedevopsmarketplacemcp

相关推荐技能

sglang

SGLang是一个专为LLM设计的高性能推理框架,特别适用于需要结构化输出的场景。它通过RadixAttention前缀缓存技术,在处理JSON、正则表达式、工具调用等具有重复前缀的复杂工作流时,能实现极速生成。如果你正在构建智能体或多轮对话系统,并追求远超vLLM的推理性能,SGLang是理想选择。

查看技能

evaluating-llms-harness

测试

该Skill通过60+个学术基准测试(如MMLU、GSM8K等)评估大语言模型质量,适用于模型对比、学术研究及训练进度追踪。它支持HuggingFace、vLLM和API接口,被EleutherAI等行业领先机构广泛采用。开发者可通过简单命令行快速对模型进行多任务批量评估。

查看技能

langchain

LangChain是一个用于构建LLM应用程序的框架,支持智能体、链和RAG应用开发。它提供多模型提供商支持、500+工具集成、记忆管理和向量检索等核心功能。开发者可用它快速构建聊天机器人、问答系统和自主代理,适用于从原型验证到生产部署的全流程。

查看技能

llamaguard

其他

LlamaGuard是Meta推出的7-8B参数内容审核模型,专门用于过滤LLM的输入和输出内容。它能检测六大安全风险类别(暴力/仇恨、性内容、武器、违禁品、自残、犯罪计划),准确率达94-95%。开发者可通过HuggingFace、vLLM或Sagemaker快速部署,并能与NeMo Guardrails集成实现自动化安全防护。

查看技能