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Build, update, explain, or review Microsoft Agent Framework applications in .NET or Python. The skill guides agent and workflow design using current official documentation and supports migration from Semantic Kernel or AutoGen.
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AG2 (formerly AutoGen) is an open-source Python framework for building AI agents and multi-agent systems that use tools, human approval and structured conversations. Use it when you need agents that call functions, collaborate in a group chat, execute code, or when you are migrating AutoGen or pyautogen code to AG2 v1 or ag2-classic.
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Use this skill for maintaining, migrating, debugging, and safely operating Microsoft AutoGen Python 0.7.x applications, including AgentChat, Core runtimes, extensions, Studio, Magentic-One, AG Bench, and pyautogen compatibility.
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Progressive Muscle Relaxation (PMR) according to Jacobson and Autogenic Training according to Schultz. Short forms and full versions.
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Progressive Muskelentspannung (PMR) nach Jacobson und Autogenes Training nach Schultz. Kurz- und Langformen.
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Microsoft AutoGen multi-agent configuration for conversational AI systems
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Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. Use when "build agent, AI agent, autonomous agent, tool use, function calling, multi-agent, agent memory, agent planning, langchain agent, crewai, autogen, claude agent sdk, ai-agents, langchain, autogen, crewai, tool-use, function-calling, autonomous, llm, orchestration" mentioned.
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AutoGen is Microsoft's open-source framework for building multi-agent systems where AI agents converse with each other and humans to solve tasks, with support for tool use and human-in-the-loop workflows.
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Build conversational multi-agent systems with AutoGen — agent types, group chats, and orchestration patterns.
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Relajación Muscular Progresiva (PMR) según Jacobson y Entrenamiento Autógeno según Schultz. Formas cortas y versiones completas.
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雅各布森渐进性肌肉放松法（PMR）与舒尔茨自律训练法（AT）。包含简短版与完整版。
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ヤコブソンによる筋弛緩法（PMR）およびシュルツによる自律訓練法。短縮版と完全版。
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Прогрессивная мышечная релаксация (ПМР) по Якобсону и аутогенная тренировка по Шульцу. Краткие и полные версии.
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Expert en orchestration d'agents autonomes (CrewAI, AutoGen, LangGraph, swarm patterns, planning)
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Agent Orchestrator IA — Expert en orchestration multi-agent (CrewAI, AutoGen, LangGraph, task decomposition, coordination)
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Add controls to AI agents that use APIs, databases, and files. Use Python patterns for tool permissions, approval requirements, call limits, suspicious input checks, audit logs, and trust scores that guide delegation between agents.
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Design systems where multiple agents work with separate task information. Choose coordination structures, define handoffs and shared state, and plan parallel work while checking whether communication costs and failure risks justify using more than one agent.
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Inspect imports and agent patterns in existing Python code to identify its framework and recommend an Omnigent executor, the component that runs the agent. Explain unsupported frameworks and suggest available next steps.
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Converts agent definitions between frameworks — exports to Claude Code, OpenAI, CrewAI, Lyzr, and GitHub Models formats, and imports from Claude, Cursor, and CrewAI projects. Use when the user wants to convert an agent, migrate to another framework, export to LangChain/AutoGen/CrewAI, or import from existing automation tools.
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交互式 AI Agent 开发工作坊：通过 6 阶段深度协作对话，引导用户完成 Agent 需求分析、架构设计、 工具定义、Prompt 与编排设计、代码生成、验证迭代，产出可直接运行的 Agent 项目。 框架无关设计优先，支持 LangChain / EINO / AutoGen / AgentScope / CrewAI 等 ADK 框架。
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ADK 框架适配层。为 LangChain / EINO / AutoGen / AgentScope / CrewAI 提供框架特定的 代码模板、惯用模式、API 映射和项目结构，供 agent-dev-workshop Phase 5 代码生成使用。 每个框架 reference 文件标注 verified_date 用于版本锁定。
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提供使用 C# 读取视频文件时长并将其格式化为指定位数（如7位数字符串）的代码方案。支持多种库（如FFmpeg、DirectShow.NET、WMPLib、FFmpeg.AutoGen）或命令行调用方式。
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Universal discipline for any LM-driven loop — agent retries, plan-act-observe, multi-agent handoffs, optimiser passes, test-fix cycles. Encodes the one rule every framework documents quietly and every team relearns expensively: the LM in the loop is NEVER a reliable terminator. Termination must be provided by an explicit counter + exit predicate + stagnation signal + escalation path that live OUTSIDE the LM's control. This is a tool- level, framework-agnostic skill. It maps onto LangGraph (recursion_limit + state counter + interrupt), CrewAI (max_iter + max_rpm + human_input), Claude / OpenAI SDKs (max_iterations + tool_use_budget), DSPy (declared evaluation budget), Aider (REPL + explicit retry cap), and AutoGen (max_consecutive_auto_reply). Search keywords: infinite loop, recursion limit, recursion_limit, GraphRecursionError, max iterations, max_iter, agent stuck, agent won't stop, runaway agent, ReAct loop not terminating, agent repeating itself.
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Manage database migrations for SQLAlchemy with Alembic. Use when a user asks to version database schemas, autogenerate migration scripts from models, run or roll back migrations, set up async SQLAlchemy migrations, or handle schema changes safely in production.
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