Advanced-Multi-Agent-AI-Framework 是做什麼的？
⚡ 透過整合 80 多種提示工程技術的多代理框架，簡化 AI 開發，實現高效的團隊協作與自動化。
⚡ 透過整合 80 多種提示工程技術的多代理框架，簡化 AI 開發，實現高效的團隊協作與自動化。
這個技能提供一個先進的多代理 AI 框架，專為簡化 AI 開發而設計。它整合了 80 多種提示工程技術，讓開發者能夠有效地協調多個 AI 代理之間的協作與自動化。主要支援的平台包括 Claude Code、Cursor 和 Codex 等，透過明確的 SKILL.md 文件來定義代理的行為與互動方式。此框架的實際運作依賴於其預先定義的提示模板與代理分工策略，能顯著提升複雜任務的處理效率，非常適合需要高度自動化與團隊協作的 AI 專案開發。
npx skills add BEHZAD1919/Advanced-Multi-Agent-AI-FrameworkInstalled? 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 →
⚡ 透過整合 80 多種提示工程技術的多代理框架，簡化 AI 開發，實現高效的團隊協作與自動化。
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.