內容研究（Content Research）指令：為選定的機會撰寫詳細的內容簡報。僅在使用者呼叫 cr-brief 或要求執行「brief」動作時使用。此為內容研究技能的進入點。
本技能（skill）「cr-brief」是內容研究（content-research）技能中的「brief」動作執行器。當使用者輸入 cr-brief 指令或明確要求執行內容研究的「brief」動作時，AI 代理會自動觸發此技能，幫助使用者快速建立詳細的內容簡報。 此技能在執行時會優先遵循快速路徑（fast path）：先以三行文字規劃，接著平行收集所需資料，執行相關腳本，最後根據渲染的區塊生成報告。它會讀取 `content-research/actions/_fast.md` 與 `content-research/actions/brief.md` 兩個核心檔案，只有當步驟失敗時才會查閱其他文件。使用者輸入 `cr-brief` 後的所有文字都會被視為該動作的引數。 技能檔案在安裝後會位於 `../content-research/` 目錄（與本技能同層的兄弟資料夾），若在原始碼倉庫中則位於 `../../` 路徑。AI 代理應優先使用存在的路徑。此檔案僅為進入點，不應在其中複製工作流程邏輯。支援的平台包括 Claude Code、Cursor 等遵循標準技能規範的 AI 代理工具。
npx skills add https://github.com/fdevaibhavpal/ai-agent-skills/tree/HEAD/content-research/commands/cr-briefInstalled? Explore more 寫作與編輯 skills: steipete/notion, langchain-ai/langchain, bytedance/podcast-generation · View all 6 →
執行 content-research 技能中的 brief 動作。
content-research/actions/_fast.md 以及動作檔案 content-research/actions/brief.md。對於一般執行，讀取這些就足夠了；僅在步驟失敗時才開啟其他文件。cr-brief 之後輸入的任何內容視為該動作的引數。定位檔案：安裝後，content-research 是本資料夾的同層兄弟資料夾（../content-research/）。在原始碼倉庫中，路徑為 ../../。請使用存在的路徑。
此檔案僅為進入點。請勿在此複製工作流程邏輯。
This repo contains 3 individual skills — each has its own dedicated page.
Content Research command - analyze competing creators and their content. Use only when the user invokes cr-competitors or asks for the content-research "competitors" action. Entry point for the content-research skill.
Content Research command - run the complete content research workflow. Use only when the user invokes cr-full or asks for the content-research "full" action. Entry point for the content-research skill.
Content Research command - find high-demand, low-supply content gaps. Use only when the user invokes cr-gaps or asks for the content-research "gaps" action. Entry point for the content-research skill.
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