O que deep-agents-orchestration faz?
INVOQUE ESTA HABILIDADE ao usar subagentes, planejamento de tarefas ou aprovação humana em Deep Agents. Abrange SubAgentMiddleware, TodoList para planejamento e interrupções HITL.
INVOQUE ESTA HABILIDADE ao usar subagentes, planejamento de tarefas ou aprovação humana em Deep Agents. Abrange SubAgentMiddleware, TodoList para planejamento e interrupções HITL.
Esta habilidade fornece diretrizes essenciais para orquestração de agentes na plataforma Deep Agents, focando em três áreas principais: coordenação de subagentes via SubAgentMiddleware, planejamento de tarefas com TodoList, e aprovação humana através de interrupções HITL (Human-In-The-Loop). É particularmente útil para desenvolvedores que precisam delegar subtarefas a agentes especializados, gerenciar planos de execução complexos de forma estruturada, ou incorporar pontos de verificação com intervenção humana para garantir segurança e validação em fluxos de trabalho autônomos. A habilidade se baseia no ecossistema LangChain e Deep Agents, oferecendo uma abordagem padronizada para construir sistemas multiagente robustos e responsivos. Ao invocar este skill, os desenvolvedores obtêm acesso a padrões de projeto comprovados e melhores práticas para implementar arquiteturas de agente que exigem colaboração, planejamento dinâmico e supervisão humana.
npx skills add https://github.com/langchain-ai/langchain-skills/tree/main/skills/deep-agents-orchestrationInstalled? Explore more Produtividade e Colaboração skills: steipete/gemini, steipete/gh-issues, steipete/skill-creator · View all 6 →
INVOQUE ESTA HABILIDADE ao usar subagentes, planejamento de tarefas ou aprovação humana em Deep Agents. Abrange SubAgentMiddleware, TodoList para planejamento e interrupções HITL.
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.