YAML-Multi-Agent-Orchestrator 是做什麼的？
🤖 使用 YAML 宣告式定義並執行多代理 AI 工作流程，簡化編排並透過自動上下文處理增強協作。
🤖 使用 YAML 宣告式定義並執行多代理 AI 工作流程，簡化編排並透過自動上下文處理增強協作。
這個技能讓開發者能夠使用人類可讀的 YAML 檔案來定義和執行多代理 AI 工作流程。它擺脫了傳統的硬編碼編排方式，允許以宣告式方式指定代理角色、任務處理鏈和共享上下文。主要優勢在於自動化的上下文處理：當一個代理完成任務時，其輸出會無縫傳遞給下一個代理，確保目標一致。該技能設計用於在任何支援自訂技能的 AI 代理平台上使用，例如 Claude Code、Cursor 或 Codex。其設計哲學強調簡單性、可移植性和團隊協作，使複雜的 AI 工作流程易於理解、修改和共用。
npx skills add CharlesDaniel52/YAML-Multi-Agent-OrchestratorInstalled? Explore more 研究與資料分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
🤖 使用 YAML 宣告式定義並執行多代理 AI 工作流程，簡化編排並透過自動上下文處理增強協作。
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.