AGENT SKILLS · 임무 장비 / langchain-ai

langchain-ai · Agent Skills

출처를 확인한 실질적인 문서가 있는 Skill 30개입니다. 카드를 열어 원문, 패키지 구성과 설치 방법을 확인하세요.

langchain-ai
공식

langgraph-human-in-the-loop

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.

1시간 설치 수
7
GitHub Stars
1.3천
업데이트
10월 25일
langchain-ai
공식

deepagents-typescript-quickstart

Scaffold a minimal local Deep Agent in TypeScript by following the official quickstart, using provider-native web search instead of Tavily. Use when the user wants to quickly build or try a Deep Agent locally.

1시간 설치 수
5
GitHub Stars
1.3천
업데이트
10월 25일
langchain-ai
공식

langchain-middleware

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.

1시간 설치 수
5
GitHub Stars
1.3천
업데이트
10월 19일
langchain-ai
공식

langchain-python-quickstart

Scaffold a minimal local LangChain agent in Python by following the official quickstart. Use when the user wants to quickly build or try a LangChain agent locally.

1시간 설치 수
5
GitHub Stars
1.3천
업데이트
10월 19일
langchain-ai
공식

langchain-typescript-quickstart

Scaffold a minimal local LangChain agent in TypeScript by following the official quickstart. Use when the user wants to quickly build or try a LangChain agent locally.

1시간 설치 수
5
GitHub Stars
1.3천
업데이트
10월 25일
langchain-ai
공식

langgraph-fundamentals

INVOKE THIS SKILL when writing ANY LangGraph code. Covers StateGraph, state schemas, nodes, edges, Command, Send, invoke, streaming, and error handling.

1시간 설치 수
5
GitHub Stars
1.3천
업데이트
10월 19일
langchain-ai
공식

langgraph-typescript-quickstart

Scaffold a minimal local LangGraph agent in TypeScript by following the official quickstart. Use when the user wants to quickly build or try a LangGraph agent locally.

1시간 설치 수
5
GitHub Stars
1.3천
업데이트
10월 25일
langchain-ai
공식

managed-deep-agents

INVOKE THIS SKILL when building, testing, or deploying Managed Deep Agents in LangSmith. Walks a user through their first agent end to end — interviewing them about what they want to build, mapping it onto what MDA can actually do, then scaffolding and deploying it. Covers the file-based project layout; definedeepagent / defineDeepAgent; instructions, skills, memory, identity, tools, MCP servers, connections, middleware, sandboxes, schedules, channels, and evals; the mda CLI; GitHub deployments;

1시간 설치 수
5
GitHub Stars
1.3천
업데이트
10월 25일
langchain-ai
공식

deep-agents-core

INVOKE THIS SKILL when building ANY Deep Agents application. Covers createdeepagent(), harness architecture, SKILL.md format, and configuration options.

1시간 설치 수
4
GitHub Stars
1.3천
업데이트
10월 19일
langchain-ai
공식

deep-agents-memory

INVOKE THIS SKILL when your Deep Agent needs memory, persistence, or filesystem access. Covers StateBackend (ephemeral), StoreBackend (persistent), FilesystemMiddleware, and CompositeBackend for routing.

1시간 설치 수
4
GitHub Stars
1.3천
업데이트
10월 25일
langchain-ai
공식

deepagents-python-quickstart

Scaffold a minimal local Deep Agent in Python by following the official quickstart, using provider-native web search instead of Tavily. Use when the user wants to quickly build or try a Deep Agent locally.

1시간 설치 수
4
GitHub Stars
1.3천
업데이트
10월 19일
langchain-ai
공식

ecosystem-primer

INVOKE FIRST for any LangChain / LangGraph / Deep Agents agent building project before consulting other skills or writing any agent code. Required starting point for up to date info on framework selection (LangChain vs LangGraph vs Deep Agents vs hybrid composition), agent patterns, install, environment setup, and which skill to load next.

1시간 설치 수
4
GitHub Stars
1.3천
업데이트
10월 19일
langchain-ai
공식

eval-engineering

Inspect an agent repository and optional traces, interview the user, write reviewed Task Specs, build and audit Harbor tasks, and bootstrap reusable project World Knowledge Skills. Use for agent evals, benchmark design, Task generation, controlled Environments, synthetic data, Verifiers, Harbor runs, calibration, or continuous benchmark maintenance.

1시간 설치 수
4
GitHub Stars
1.3천
업데이트
10월 19일
langchain-ai
공식

langchain-dependencies

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.

1시간 설치 수
4
GitHub Stars
1.3천
업데이트
10월 19일
langchain-ai
공식

langchain-fundamentals

Create LangChain agents with createagent, define tools, and use middleware for human-in-the-loop and error handling.

1시간 설치 수
4
GitHub Stars
1.3천
업데이트
10월 19일
langchain-ai
공식

langchain-rag

INVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system. Covers document loaders, RecursiveCharacterTextSplitter, embeddings (OpenAI), and vector stores (Chroma, FAISS, Pinecone).

1시간 설치 수
4
GitHub Stars
1.3천
업데이트
10월 19일
langchain-ai
공식

langgraph-cli

INVOKE THIS SKILL when using the langgraph CLI to scaffold, develop, build, or deploy LangGraph applications. Covers langgraph new, dev, build, up, deploy, and langgraph.json configuration.

1시간 설치 수
4
GitHub Stars
1.3천
업데이트
10월 19일
langchain-ai
공식

langgraph-decision-models

INVOKE THIS SKILL when routing a LangGraph agent with a decision model (TypeSafe Jev, SemIf) instead of an LLM, or when auditing an existing agent for LLM calls that only produce a routing decision. Covers langchain-typesafe Noul/Choice/Score, reading answers correctly, threshold design, and LangSmith Gateway wiring.

1시간 설치 수
4
GitHub Stars
1.3천
업데이트
10월 19일
langchain-ai
공식

langgraph-persistence

INVOKE THIS SKILL when your LangGraph needs to persist state, remember conversations, travel through history, or configure subgraph checkpointer scoping. Covers checkpointers, threadid, time travel, Store, and subgraph persistence modes.

1시간 설치 수
4
GitHub Stars
1.3천
업데이트
10월 19일
langchain-ai
공식

langgraph-python-quickstart

Scaffold a minimal local LangGraph agent in Python by following the official quickstart. Use when the user wants to quickly build or try a LangGraph agent locally.

1시간 설치 수
4
GitHub Stars
1.3천
업데이트
10월 19일
langchain-ai
공식

deep-agents-orchestration

INVOKE THIS SKILL when using subagents, task planning, or human approval in Deep Agents. Covers SubAgentMiddleware, TodoList for planning, and HITL interrupts.

1시간 설치 수
2
GitHub Stars
1.3천
업데이트
10월 21일
langchain-ai
공식

langsmith-online-eval-engineering

Iteratively inspect traces, interview the user, and create LangSmith online evaluators one at a time. Use specifically for creating online evaluators for use within LangSmith -- use "eval-engineering" for Harbor-style online evaluations.

1시간 설치 수
2
GitHub Stars
1.3천
업데이트
9월 25일
langchain-ai
공식

swarm

Dispatches many independent items in parallel: create a table, fan out to subagents, aggregate results. One row = one unit of work.

1시간 설치 수
2
GitHub Stars
1.3천
업데이트
10월 29일
langchain-ai
공식

langsmith-custom-apps

INVOKE THIS SKILL when building, iterating on, copying, or sharing a LangSmith Custom App — a React/TypeScript UI that runs inside LangSmith and reads the LangSmith API. Covers the langsmith apps CLI, pulling an existing app's source, replicating an app into another workspace, verifying app logic without a browser, and sanitizing an app before sending it outside your org. Uses the langsmith CLI tool.

1시간 설치 수
2
GitHub Stars
161
업데이트
10월 2일