高级多智能体AI框架 是做什么的?
⚡ 通过集成80多种提示工程技术的多智能体框架,简化AI开发流程,实现高效的团队协作与自动化。
⚡ 通过集成80多种提示工程技术的多智能体框架,简化AI开发流程,实现高效的团队协作与自动化。
BEHZAD1919/高级多智能体AI框架是一个为AI代理(如Claude Code、Cursor、Codex等)设计的技能,旨在简化AI开发过程。它集成了80多种先进的提示工程技术,支持多智能体团队协调和自动化任务执行。该框架适用于需要多个AI代理协作的复杂场景,例如代码生成、调试、文档编写和项目管理。通过利用提示工程,开发者可以定义每个代理的角色和职责,实现高效的团队协作和任务自动化。该技能支持多种平台和环境,提供灵活的配置选项,以适应不同的开发工作流。其核心优势在于通过结构化的提示和代理协调,显著提升开发效率和代码质量,同时减少人工干预。
npx skills add BEHZAD1919/Advanced-Multi-Agent-AI-FrameworkInstalled? 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 →
⚡ 通过集成80多种提示工程技术的多智能体框架,简化AI开发流程,实现高效的团队协作与自动化。
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.