O que deep-agents-core faz?
INVOQUE ESTA HABILIDADE ao construir QUALQUER aplicação Deep Agents. Abrange create_deep_agent(), arquitetura de harness, formato SKILL.md e opções de configuração.
INVOQUE ESTA HABILIDADE ao construir QUALQUER aplicativo Deep Agents. Abrange create_deep_agent(), arquitetura de harness, formato SKILL.md e opções de configuração.
A habilidade langchain-ai/deep-agents-core é essencial para qualquer desenvolvedor que esteja construindo aplicativos usando o framework Deep Agents. Ela fornece documentação abrangente e práticas recomendadas para criar agentes profundos utilizando a função create_deep_agent(). A habilidade cobre a arquitetura de 'harness', que é o mecanismo de execução e gerenciamento dos agentes, bem como o formato padrão SKILL.md para definição de habilidades. Além disso, detalha as opções de configuração disponíveis para personalizar o comportamento dos agentes. Esta habilidade é suportada pelas principais plataformas de agentes de IA, como Claude Code, Cursor e Codex, garantindo uma experiência de desenvolvimento consistente. Ao invocar esta habilidade, os desenvolvedores obtêm um guia completo para implementar agentes profundos de forma eficiente, seguindo as melhores práticas do ecossistema LangChain.
npx skills add https://github.com/langchain-ai/langchain-skills/tree/main/skills/deep-agents-coreInstalled? Explore more Produtividade e Colaboração skills: steipete/gemini, steipete/gh-issues, steipete/skill-creator · View all 6 →
INVOQUE ESTA HABILIDADE ao construir QUALQUER aplicação Deep Agents. Abrange create_deep_agent(), arquitetura de harness, formato SKILL.md e opções de configuração.
This repo contains 11 individual skills — each has its own dedicated page.
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 when using subagents, task planning, or human approval in Deep Agents. Covers SubAgentMiddleware, TodoList for planning, and HITL interrupts.
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.