INVOQUE ESTA HABILIDADE no INÍCIO de qualquer projeto LangChain/LangGraph/Deep Agents, antes de escrever qualquer código de agente. Determina qual camada do framework é adequada para a tarefa: LangChain, LangGraph, Deep Agents ou uma combinação. Deve ser consultada antes de outras habilidades de agente.
Esta habilidade é projetada para ser invocada no início de qualquer projeto que utilize frameworks de agentes de IA, como LangChain, LangGraph e Deep Agents. Sua função principal é analisar a tarefa em questão e recomendar a camada de framework mais apropriada — seja LangChain para fluxos lineares e integrações, LangGraph para grafos de estado complexos, Deep Agents para agentes profundamente personalizáveis, ou uma combinação deles. É crucial que esta habilidade seja consultada antes de qualquer outra, garantindo que a arquitetura escolhida esteja alinhada com os requisitos do projeto desde o início, evitando retrabalho ou escolhas inadequadas. Ela funciona analisando a descrição do problema e retornando uma sugestão estruturada, orientando o desenvolvedor sobre qual framework usar e como integrá-los, se necessário.
npx skills add https://github.com/langchain-ai/langchain-skills/tree/main/skills/framework-selectionInstalled? Explore more Produtividade e Colaboração skills: steipete/gemini, steipete/gh-issues, steipete/skill-creator · View all 6 →
INVOQUE ESTA HABILIDADE no INÍCIO de qualquer projeto LangChain/LangGraph/Deep Agents, antes de escrever qualquer código de agente. Determina qual camada do framework é adequada para a tarefa: LangChain, LangGraph, Deep Agents ou uma combinação. Deve ser consultada antes de outras habilidades de agente.
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 when using subagents, task planning, or human approval in Deep Agents. Covers SubAgentMiddleware, TodoList for planning, and HITL interrupts.
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.