Que fait deep-agents-core ?
INVOQUEZ CETTE COMPÉTENCE lorsque vous construisez TOUTE application Deep Agents. Couvre create_deep_agent(), l'architecture du harnais, le format SKILL.md et les options de configuration.
INVOQUEZ CETTE COMPÉTENCE lorsque vous construisez TOUTE application Deep Agents. Couvre create_deep_agent(), l'architecture du harnais, le format SKILL.md et les options de configuration.
Cette compétence (skill) est conçue pour les développeurs créant des applications utilisant le framework Deep Agents de LangChain. Elle sert de référence centralisée pour les composants fondamentaux, notamment la fonction `create_deep_agent()`, l'architecture du harnais (harness), le format standardisé des fichiers SKILL.md, et les options de configuration avancées. En invoquant cette compétence, l'agent obtient les connaissances nécessaires pour structurer correctement son code, interagir avec le harnais d'exécution, et respecter les conventions du framework. Elle est utile pour éviter les erreurs courantes et garantir une intégration fluide avec l'écosystème Deep Agents. La documentation inclut des avertissements et des rappels pour s'assurer que l'agent utilise les bonnes pratiques et les API appropriées.
npx skills add https://github.com/langchain-ai/langchain-skills/tree/main/skills/deep-agents-coreInstalled? Explore more Productivité et collaboration skills: steipete/gemini, steipete/gh-issues, steipete/skill-creator · View all 6 →
INVOQUEZ CETTE COMPÉTENCE lorsque vous construisez TOUTE application Deep Agents. Couvre create_deep_agent(), l'architecture du harnais, le format SKILL.md et les options de configuration.
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.