创建符合 Conventional Commits 规范的提交信息。当用户说“提交这个”、“保存更改”、“git commit”、要求提交代码、编写提交信息或格式化 git 历史时使用。遵循 Conventional Commits 规范。
该技能专为 AI 编码助手（如 Claude Code、Cursor、Codex 等）设计，帮助开发者生成符合 Conventional Commits 规范的标准提交信息。它能通过自然语言指令（例如“commit this”、“save changes”、“git commit”）自动识别用户的提交意图，并按照项目特定规则生成结构化的提交信息，包括类型（如 feat、fix）、作用域（可选）和详细说明。技能强调每次提交只处理一个逻辑变更，不创建裸分支，并始终包含提交说明正文，以确保代码提交历史清晰、可追溯。参考官方 Conventional Commits 规范，该技能支持多种主流 AI 代理平台，是团队协作和代码库维护的理想工具。
npx skills add https://github.com/jlholm/noodle/tree/HEAD/.agents/skills/commitInstalled? Explore more 写作与编辑 skills: steipete/notion, langchain-ai/langchain, bytedance/podcast-generation · View all 6 →
创建提交时，请遵循以下项目特定规则。
绝不创建裸分支。 如果需要分支隔离，请使用 worktree 技能。对于简单的更改，直接在当前分支上提交（包括主分支）。不要运行 git checkout -b。
merge 类型 — 在合并工作树或功能分支时使用 merge（而不是合并提交）。feat(alerts): 为警报更新添加 Slack 线程回复
当警报更新或解决时，回复原始 Slack 线程而不是创建新的消息。
这可以将相关通知分组在一起。
This repo contains 3 individual skills — each has its own dedicated page.
>- Structural code search via ast-grep — use when code shape and element relationships matter, not just text. E.g., "find async functions without error handling", "refactor foo(a, b) to foo({ a, b })". Use Grep for simple name lookups.
>- Read/write brain files (Obsidian vault at brain/). Use for any task that persists knowledge — reflection, planning, or direct edits. Triggers after debugging sessions, mistakes, corrections, architectural decisions, or any insight worth preserving across sessions. Use on 'add to brain', 'remember this', 'write a note', or brain/ modifications.
>- Run Codex CLI (exec, resume) for parallel work, delegating tasks to another model, or background code generation. Handles code analysis, refactoring, and automated editing. Includes Spark vs standard guidance. Triggers: "codex", "run codex", "use codex to".
Notion CLI/API for pages, Markdown content, data sources, files, comments, search, Workers, and raw API calls.
The agent engineering platform.
Use this skill when the user requests to generate, create, or produce podcasts from text content. Converts written content into a two-host conversational podcast audio format with natural dialogue.
Analyze and optimize tweets for maximum reach using Twitter's open-source algorithm insights. Rewrite and edit user tweets to improve engagement and visibility based on how the recommendation system ranks content.
Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors