paseo-loop 是做什麼的？
執行代理循環，直到滿足退出條件。當使用者提到「循環」、「照看」、「持續嘗試直到」、「每隔 X 檢查一次」、「監控」或需要迭代自主執行時使用。
執行代理循環，直到滿足退出條件。當使用者提到「循環」、「照看」、「持續嘗試直到」、「每隔 X 檢查一次」、「監控」或需要迭代自主執行時使用。
此技能讓 AI 代理能夠以自主循環的方式反覆執行任務，直到使用者指定的退出條件達成。它特別適合需要持續監控、重試直到成功、或定期檢查的場景，例如「每隔5分鐘檢查一次網站是否上線」或「持續嘗試直到 API 回應成功」。技能支援多種觸發詞，如「loop」、「babysit」、「keep trying until」等，使互動更直覺。它可與 Claude Code、Cursor 等支援代理循環的開發工具整合，透過明確的退出條件避免無窮執行。內部實現會記錄每次迭代、評估條件，並在條件滿足時乾淨地終止循環。
npx skills add https://github.com/getpaseo/paseo/tree/main/skills/paseo-loopInstalled? Explore more 寫作與編輯 skills: steipete/notion, langchain-ai/langchain, bytedance/podcast-generation · View all 6 →
執行代理循環，直到滿足退出條件。當使用者提到「循環」、「照看」、「持續嘗試直到」、「每隔 X 檢查一次」、「監控」或需要迭代自主執行時使用。
This repo contains 3 individual skills — each has its own dedicated page.
Paseo reference for managing agents and worktrees. Load whenever you need to create agents, send them prompts, or manage worktrees.
Form a committee of two high-reasoning agents to step back, do root cause analysis, and produce a plan. Use when stuck, looping, tunnel-visioning, or facing a hard planning problem.
Hand off the current task to another agent with full context. Use when the user says "handoff", "hand off", "hand this to", or wants to pass work to another agent.
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