YAML-Multi-Agent-Orchestrator 是做什么的？
🤖 使用 YAML 声明式定义并执行多智能体 AI 工作流，简化编排并通过自动上下文处理增强协作。
🤖 使用 YAML 声明式定义并执行多智能体 AI 工作流，简化编排并通过自动上下文处理增强协作。
该技能允许开发人员使用 YAML 文件以声明式的方式定义和编排多智能体 AI 工作流。通过将工作流逻辑从代码中解耦，它显著简化了多智能体系统的创建、维护和共享。该技能支持自动上下文处理，确保智能体之间的信息传递和状态管理无缝进行，无需手动编码。它专为与 Claude Code、Coder 等 AI 代理工具配合使用而设计，通过提供一个简单且可重用的框架，极大地提升了复杂多智能体协作任务的开发效率。
npx skills add CharlesDaniel52/YAML-Multi-Agent-OrchestratorInstalled? 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 →
🤖 使用 YAML 声明式定义并执行多智能体 AI 工作流，简化编排并通过自动上下文处理增强协作。
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.