¿Qué hace deep-agents-core?
INVOCA ESTA HABILIDAD al construir CUALQUIER aplicación de Deep Agents. Cubre create_deep_agent(), arquitectura de harness, formato SKILL.md y opciones de configuración.
INVOCA ESTA HABILIDAD al construir CUALQUIER aplicación de Deep Agents. Cubre create_deep_agent(), arquitectura de harness, formato SKILL.md y opciones de configuración.
Esta habilidad es esencial para desarrolladores que trabajan con el framework Deep Agents de LangChain. Proporciona una guía completa para construir aplicaciones utilizando este sistema, cubriendo desde la función principal `create_deep_agent()` hasta la arquitectura del harness (un contenedor de ejecución para agentes). También detalla el formato estándar de SKILL.md, que define cómo se documentan y configuran las habilidades (skills) de los agentes, y explica las diversas opciones de configuración disponibles para personalizar el comportamiento de los agentes. Está diseñada para ser invocada en plataformas como Claude Code, Cursor, Codex y otras herramientas de desarrollo de agentes de IA, ayudando a los usuarios a entender y aplicar correctamente los componentes fundamentales de Deep Agents. Su objetivo es evitar errores comunes y asegurar una implementación consistente y eficiente, siguiendo las mejores prácticas del framework.
npx skills add https://github.com/langchain-ai/langchain-skills/tree/main/skills/deep-agents-coreInstalled? Explore more Productividad y colaboración skills: steipete/gemini, steipete/gh-issues, steipete/skill-creator · View all 6 →
INVOCA ESTA HABILIDAD al construir CUALQUIER aplicación de Deep Agents. Cubre create_deep_agent(), arquitectura de harness, formato SKILL.md y opciones de configuración.
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.