deep-agents-orchestration 是做什麼的？
在 Deep Agents 中使用子代理、任務規劃或人工審核時，請引用此技能。涵蓋 SubAgentMiddleware、用於規劃的 TodoList 以及 HITL 中斷。
在 Deep Agents 中使用子代理、任務規劃或人工審核時，請引用此技能。涵蓋 SubAgentMiddleware、用於規劃的 TodoList 以及 HITL 中斷。
此技能專為 Deep Agents 框架設計，用於處理複雜的多步驟任務。當需要建立子代理（SubAgent）來分工執行、制定待辦事項清單（TodoList）進行任務規劃，或引入人工審核（HITL）中斷機制時，應引用此技能。它提供 SubAgentMiddleware 來管理和協調子代理的生命週期，確保任務正確分派。同時，透過 TodoList 規劃器能有效分解任務，而 HITL 中斷則允許在關鍵節點暫停流程，等待人類輸入或確認。此技能支援 Deep Agents 平台，適用於需要精確控制執行流程的中高複雜度代理應用。
npx skills add https://github.com/langchain-ai/langchain-skills/tree/main/skills/deep-agents-orchestrationInstalled? Explore more 生產力與協作 skills: steipete/gemini, steipete/gh-issues, steipete/skill-creator · View all 6 →
在 Deep Agents 中使用子代理、任務規劃或人工審核時，請引用此技能。涵蓋 SubAgentMiddleware、用於規劃的 TodoList 以及 HITL 中斷。
This repo contains 11 individual skills — each has its own dedicated page.
INVOKE THIS SKILL when building ANY Deep Agents application. Covers create_deep_agent(), harness architecture, SKILL.md format, and configuration options.
INVOKE THIS SKILL when your Deep Agent needs memory, persistence, or filesystem access. Covers StateBackend (ephemeral), StoreBackend (persistent), FilesystemMiddleware, and CompositeBackend for routing.
INVOKE THIS SKILL at the START of any LangChain/LangGraph/Deep Agents project, before writing any agent code. Determines which framework layer is right for the task: LangChain, LangGraph, Deep Agents, or a combination. Must be consulted before other agent skills.
INVOKE THIS SKILL when setting up a new project or when asked about package versions, installation, or dependency management for LangChain, LangGraph, LangSmith, or Deep Agents. Covers required packages, minimum versions, environment requirements, versioning best practices, and common community tool packages for both Python and TypeScript.
Create LangChain agents with create_agent, define tools, and use middleware for human-in-the-loop and error handling.
INVOKE THIS SKILL when you need human-in-the-loop approval, custom middleware, or structured output. Covers HumanInTheLoopMiddleware for human approval of dangerous tool calls, creating custom middleware with hooks, Command resume patterns, and structured output with Pydantic/Zod.
INVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system. Covers document loaders, RecursiveCharacterTextSplitter, embeddings (OpenAI), and vector stores (Chroma, FAISS, Pinecone).
INVOKE THIS SKILL when writing ANY LangGraph code. Covers StateGraph, state schemas, nodes, edges, Command, Send, invoke, streaming, and error handling.
INVOKE THIS SKILL when implementing human-in-the-loop patterns, pausing for approval, or handling errors in LangGraph. Covers interrupt(), Command(resume=...), approval/validation workflows, and the 4-tier error handling strategy.
INVOKE THIS SKILL when your LangGraph needs to persist state, remember conversations, travel through history, or configure subgraph checkpointer scoping. Covers checkpointers, thread_id, time travel, Store, and subgraph persistence modes.
Dispatches many independent items in parallel: create a table, fan out to subagents, aggregate results. One row = one unit of work.
Gemini CLI one-shot prompts, summaries, generation, skills, hooks, MCP, or Gemma routing.
Fetch GitHub issues, select candidates, spawn background fix agents, open PRs, and optionally process PR review comments.
Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.
Search, install, update, sync, or publish agent skills with the ClawHub CLI and registry.
Delegate coding work to Codex, Claude Code, or OpenCode as background workers; not simple edits or read-only code lookup.
List, configure, authenticate, call, and inspect MCP servers/tools with mcporter over HTTP or stdio.