paseo-loop 是做什么的？
运行一个代理循环，直到满足退出条件。当用户说“循环”、“监控”、“重试直到”、“每隔X检查”、“观察”或希望进行迭代自主执行时使用。
运行一个代理循环，直到满足退出条件。当用户说“循环”、“监控”、“重试直到”、“每隔X检查”、“观察”或希望进行迭代自主执行时使用。
getpaseo/paseo-loop 是一个用于 AI 代理的技能，它允许代理执行一个持续循环，直到满足某个退出条件。这对于需要反复尝试、监控、定期检查或迭代自主执行的场景非常有用。该技能支持用户通过自然语言指令触发，例如“循环”、“监控”、“重试直到”、“每隔X检查”或“观察”。它基于 SKILL.md 文档中定义的退出条件逻辑工作，代理会根据条件不断运行，直到条件达成，从而简化了需要持久或重复任务的自动化流程。此技能适用于多种代理平台，如 Claude Code、Cursor 或 Codex，能够显著提升任务执行的自主性和效率。
npx skills add https://github.com/getpaseo/paseo/tree/main/skills/paseo-loopInstalled? Explore more 写作与编辑 skills: steipete/notion, langchain-ai/langchain, bytedance/podcast-generation · View all 6 →
运行一个代理循环，直到满足退出条件。当用户说“循环”、“监控”、“重试直到”、“每隔X检查”、“观察”或希望进行迭代自主执行时使用。
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