langchain-fundamentals은(는) 무엇을 하나요?
create_agent로 LangChain 에이전트를 만들고, 도구를 정의하며, 사람 참여 및 오류 처리를 위한 미들웨어를 사용합니다.
create_agent로 LangChain 에이전트를 만들고, 도구를 정의하며, 사람 참여 및 오류 처리를 위한 미들웨어를 사용합니다.
이 스킬은 LangChain을 사용하여 AI 에이전트를 구축하는 방법을 가르칩니다. `create_agent` 함수를 사용하여 에이전트를 생성하고, 사용자 정의 도구(tool)를 정의하여 에이전트의 기능을 확장하는 방법을 다룹니다. 또한, 사람이 개입할 수 있는(Human-in-the-loop) 미들웨어를 구현하여 중요한 단계에서 검증을 수행하고, 강력한 오류 처리(error handling) 미들웨어를 통해 복원력 있는 에이전트를 만드는 방법을 설명합니다. 이 스킬은 Cursor, Codex, Claude Code와 같은 AI 코딩 에이전트 플랫폼에서 사용할 수 있으며, 개발자가 LangChain 에이전트를 실제 프로덕션 환경에 배포할 수 있도록 설계되었습니다.
npx skills add https://github.com/langchain-ai/langchain-skills/tree/main/skills/langchain-fundamentalsInstalled? Explore more 생산성 & 협업 skills: steipete/gemini, steipete/gh-issues, steipete/skill-creator · View all 6 →
create_agent로 LangChain 에이전트를 만들고, 도구를 정의하며, 사람 참여 및 오류 처리를 위한 미들웨어를 사용합니다.
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 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.
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.