AG2 (AutoGen) — Multi-Agent Conversation Framework

You are an expert in AG2 (formerly AutoGen), the opensource multiagent conversation framework. You help developers build systems where multiple AI agents collaborate through structured conversations — with tool use, humanintheloop, code execution, group chat orchestration, and nested conversations — for complex tasks l

概览

AG2, previously known as AutoGen, is an open-source framework designed to facilitate complex workflows through multi-agent collaboration. According to the TerminalSkills/skills repository, this framework allows developers to orchestrate structured conversations between multiple AI agents. Key features include integrated tool usage, human-in-the-loop interactions, and autonomous code execution. The system supports various communication patterns, such as group chat orchestration and nested conversations, to tackle sophisticated tasks. By leveraging AG2, developers can create modular systems where specialized agents work together. The framework is compatible with major models like Gemini and Claude, providing a flexible foundation for building autonomous applications that require high-level reasoning and coordinated multi-step processes.

使用场景

Automating software development through collaborative agent coding and peer review.
Executing multi-step research and data analysis by delegating sub-tasks to specialized agents.
Creating interactive applications that integrate human feedback and external APIs within conversational flows.

安装说明

# Review source first
open https://github.com/TerminalSkills/skills/blob/main/skills/ag2/SKILL.md

Copy or clone the skill folder into your agent skills directory after reviewing its instructions and scripts.

安全提示

When implementing AG2, developers should carefully manage code execution environments and API access. Since the framework supports autonomous code execution and tool use, it is essential to define clear boundaries for agent permissions and monitor interactions to prevent unauthorized actions or data exposure during multi-agent sessions.

相关 Skills

Constant Time Testing

trailofbits/skills

前端设计

Constant-time testing 用于检测加密代码中的定时侧信道。在审计加密实现的定时漏洞时使用。

Claude CodeClaude
securitytesting
6,810 Stars已链接来源

Baoyu Design

JimLiu/baoyu-design

前端设计

创建精美的设计产出物作为自包含的 HTML:UI 模型、交互原型、线框图、落地页、仪表板、应用界面、移动应用、幻灯片(又名 PPT / PowerPoint 演示文稿)、文档和简历、动画、3D 对象、研究报告、HTML 电子邮件、图表、传单和视觉探索。每当用户要求为界面、产品屏幕、用户流程或内容布局进行设计、制作模型、原型设计、绘制线框图、可视化、探索或制作 PPT/幻灯片时使用。

CodexClaude Code
reviewdocuments
3,534 StarsMIT

Managed Deep Agents

langchain-ai/langchain-skills

前端设计

在使用 mda CLI 在 LangSmith 中构建、测试或部署 Managed Deep Agents 时,提供 INVOKE THIS SKILL。引导用户端到端地完成其第一个智能体——通过访谈了解其构建需求,将其映射到 MDA 的实际功能,然后进行脚手架搭建和部署。涵盖基于文件的项目布局;define_deep_agent / defineDeepAgent;instructions、skills、memory、identity、tools、middleware、sandboxes、schedules、channels 以及 evals;mda init/build/dev/deploy/logs/delete;

CodexClaude
typescriptpython
1,164 Stars已链接来源

GSAP Core

mxyhi/ok-skills

前端设计

核心 API 的官方 GSAP skill —— 包含 gsap.to()、from()、fromTo()、easing、duration、stagger、defaults、gsap.matchMedia()(响应式、prefers-reduced-motion)。当用户请求 JavaScript 动画库、React/Vue/vanilla 中的动画、GSAP 补间动画、缓动、基础动画、响应式或减弱动态效果 a 时使用。

CodexClaude Code
reactsecurity
423 StarsApache-2.0

花叔Design · Huashu-Design

mxyhi/ok-skills

前端设计

花叔Design——用HTML做高保真原型、交互Demo、幻灯片、动画、设计变体探索+设计方向顾问+专家评审。根据任务embody对应专家(UX/动画师/幻灯片设计师/原型师),避免web design tropes。触发词:做原型、交互原型、HTML演示、动画Demo、设计变体、hi-fi设计、UI mockup、prototype、做个HTML页面、做个可视化、app原型、iOS原型、导出MP4/GIF、60fps视频、设计风格、设计方向、配色方案、推荐风格、选个风格、做个好看的、评审、好不好看、review this design、带解说的动画、解说视频、长视频科普、voiceover、narration、5分钟讲清楚什么是X

CodexClaude Code
pythonreact
423 StarsApache-2.0

Design Build

tinh2/skills-hub-registry

前端设计

以 Ralph Wiggum 的速度构建独特的生产级界面。交付可运行的代码(Web 或移动端),包含现代 CSS、流体排版、有意义的动效,且无通用的 AI 审美。适用场景:'build UI'、'design this'、'create interface'、'make it look good'、'build screen'、'implement design'、'frontend build'、'design build'。

CodexClaude Code
reactdesign
14 Stars已链接来源