建立符合慣例的提交訊息。當使用者說「提交此項目」、「儲存變更」、「git commit」、要求提交程式碼、撰寫提交訊息或格式化 git 歷史記錄時使用。遵循 Conventional Commits 規範。
此技能「jlholm/noodle」旨在強制執行 Conventional Commits 規範，以確保 Git 提交訊息的一致性和可讀性。它會在使用者要求提交程式碼、儲存變更或撰寫提交訊息時自動觸發。技能會引導開發者遵守特定專案規則，例如每個邏輯變更只建立一個提交、僅包含實際變更的檔案、始終包含提交主體說明原因，以及正確使用「merge」類型。為了最大化選項價值，它還建議按基礎設施優先、功能次之的順序排列提交。此技能支援任何使用 Git 的專案，並透過標準化的提交格式簡化程式碼審查和版本控制流程。
npx skills add https://github.com/jlholm/noodle/tree/HEAD/.agents/skills/commitInstalled? Explore more 寫作與編輯 skills: steipete/notion, langchain-ai/langchain, bytedance/podcast-generation · View all 6 →
在建立提交時，請遵守以下專案特定規則。
切勿建立裸分支。 如果您需要分支隔離，請使用 worktree 技能。對於簡單的變更，請直接在主分支（包括 main）上提交。不要執行 git checkout -b。
merge 類型—在合併工作樹或功能分支時使用 merge（不要使用合併提交）。feat(alerts): 為警示更新新增 Slack 執行緒回覆
當警示更新或解決時，回覆原始 Slack 執行緒，而不是建立新訊息。
這有助於將相關通知群組在一起。
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