paseo-committee 是做什么的？
组建一个由两个高推理能力Agent组成的委员会，进行退后一步、根因分析并生成计划。当遇到卡壳、循环、视角局限或面临困难的规划问题时使用。
组建一个由两个高推理能力Agent组成的委员会，进行退后一步、根因分析并生成计划。当遇到卡壳、循环、视角局限或面临困难的规划问题时使用。
这是一个AI技能（称为“paseo-committee”），旨在帮助开发者或AI Agent用户在遇到复杂问题、逻辑循环或思维困局时，通过召集两个高级推理Agent组成委员会来突破瓶颈。该技能的核心价值在于提供一次“后撤”思考，引导系统进行根本原因分析（Root Cause Analysis），并产出结构化的行动计划。它特别适用于需要高推理能力的场景，例如调试复杂代码、解决系统架构问题或制定多步骤策略。该技能兼容多种支持CLI或工具调用的AI平台（如Claude Code、Cursor等），其工作流程通常包括：首先由两个Agent独立分析问题并交换意见，然后通过辩论或协作达成共识，最终输出一份包含根因诊断和可执行步骤的计划。通过这种方式，它能有效避免单Agent的思维定势，提高问题解决的深度和可靠性。
npx skills add https://github.com/getpaseo/paseo/tree/main/skills/paseo-committeeInstalled? Explore more 研究与数据分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
组建一个由两个高推理能力Agent组成的委员会，进行退后一步、根因分析并生成计划。当遇到卡壳、循环、视角局限或面临困难的规划问题时使用。
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.
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.
Run an agent loop until an exit condition is met. Use when the user says "loop", "babysit", "keep trying until", "check every X", "watch", or wants iterative autonomous execution.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.