框架选择 是做什么的？
在任何 LangChain/LangGraph/Deep Agents 项目开始时，在编写任何代理代码之前调用此技能。确定适合任务的框架层：LangChain、LangGraph、Deep Agents 或组合。在调用其他代理技能之前必须咨询此技能。
在任何 LangChain/LangGraph/Deep Agents 项目开始时，在编写任何代理代码之前调用此技能。确定适合任务的框架层：LangChain、LangGraph、Deep Agents 或组合。在调用其他代理技能之前必须咨询此技能。
此技能旨在为开发者启动 LangChain、LangGraph 或 Deep Agents 项目时提供框架选择的指导。在编写任何代理代码之前，必须调用此技能，以确定任务最适合的框架层：是使用 LangChain 的基础构建模块、LangGraph 的有状态图结构、Deep Agents 的高级多步骤代理，还是它们的组合。此技能确保项目从一开始就采用正确的架构，避免不必要的返工。它适用于所有基于 LangChain 生态系统的项目，是项目规划的起点。通过分析任务需求，它帮助开发者做出明智的决策，从而优化开发效率和代码质量。
npx skills add https://github.com/langchain-ai/langchain-skills/tree/main/skills/framework-selectionInstalled? Explore more 生产力与协作 skills: steipete/gemini, steipete/gh-issues, steipete/skill-creator · View all 6 →
在任何 LangChain/LangGraph/Deep Agents 项目开始时，在编写任何代理代码之前调用此技能。确定适合任务的框架层：LangChain、LangGraph、Deep Agents 或组合。在调用其他代理技能之前必须咨询此技能。
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.