Autogen multi agent
Skill tangweigang-jpg/doramagic-skills/skills/autogen-multi-agent
AutoGen v0.4:asyncio actor-runtime 多智能体框架(autogen-core / autogen-agentchat / autogen-ext 三包)。 AutoGen v0.4: asyncio actor-runtime multi-agent framework (autogen-core / autogen-agentchat / autogen-ext). ⚠️ Microsoft has declared maintenance mode; new projects should use Microsoft Agent Framework (MAF). This skill is for legacy maintenance only.From its SKILL.md
npx -y skills add tangweigang-jpg/doramagic-skills --skill autogen-multi-agentAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its file declares
Copied from the file, not written here
The file declares its own license as MIT-0. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
3.0 KB, as published. Nobody here has run it
这个 skill 适合什么用户?能做哪些任务?
概览
⚠️ 重要提示:AutoGen v0.4 已进入微软官方维护模式(README:14,21,23),新项目应使用 Microsoft Agent Framework(MAF)。本 skill 仅服务于既有 AutoGen 工程的维护、迁移与排错。
AutoGen 是 asyncio actor-runtime 多智能体框架(github.com/microsoft/autogen)。三个 Python 包:autogen-core(runtime + 基础接口)、autogen-agentchat(高层 AssistantAgent / GroupChat API)、autogen-...
Doramagic 晶体页: https://doramagic.ai/zh/crystal/autogen-multi-agent
知识规模
- 51 条约束 (2 fatal + 49 non-fatal)
- 上游源码:
microsoft/autogen@ commit027ecf0a - 蓝图 ID:
finance-bp-136
用法
Host AI(Claude Code / Cursor / OpenClaw)读 references/seed.yaml,按其中的:
intent_router匹配用户意图architecture理解项目架构constraints应用 anti-pattern 约束business_decisions参考核心设计决策
FAQ 摘要
这个 skill 适合什么用户?能做哪些任务?
主要适合既有 AutoGen 工程的维护团队:排错、迁移到 MAF、向后兼容性补丁。新项目不建议从 AutoGen 起步——用 Microsoft Agent Framework(MAF)。如确需 AutoGen 范式,本 skill 覆盖 actor runtime / GroupChat / Magentic-One 等典型用例。
需要准备什么环境?依赖什么?
Python 3.10+(按包元数据),至少一个 ChatCompletionClient provider(共 9 个:openai / anthropic / azure_openai / azure_ai / ollama / llama_cpp / semantic_kernel / cached / replay;OpenAI 是事实标准)。
会踩哪些坑?这个 skill 怎么防护?
本 skill 内置 51 条约束(2 条 fatal)。CRITICAL 安全坑:(1) LocalCommandLineCodeExecutor 文档声称的 regex 命令消毒并不存在——所有 LLM 生成的命令直接 shell 执行到 host;(2) pyautogen 包现已是 0 字节代理,v0.2 cookbook 代码会三处失败;
完整文档: 见 references/seed.yaml (v6.1 schema). 浏览页: https://doramagic.ai/zh/crystal/autogen-multi-agent