langchain-ai
共 30 个 Skill，均有经来源核对的实质文档。打开卡片可阅读原始说明，了解包内文件和安装方式。
langchain-ailanggraph-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.
- 1小时安装量
- 7
- GitHub Stars
- 1318
- 最近更新
- 10月25日
langchain-aideepagents-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.
- 1小时安装量
- 5
- GitHub Stars
- 1318
- 最近更新
- 10月25日
langchain-ailangchain-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.
- 1小时安装量
- 5
- GitHub Stars
- 1298
- 最近更新
- 10月19日
langchain-ailangchain-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.
- 1小时安装量
- 5
- GitHub Stars
- 1298
- 最近更新
- 10月19日
langchain-ailangchain-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.
- 1小时安装量
- 5
- GitHub Stars
- 1318
- 最近更新
- 10月25日
langchain-ailanggraph-fundamentals
INVOKE THIS SKILL when writing ANY LangGraph code. Covers StateGraph, state schemas, nodes, edges, Command, Send, invoke, streaming, and error handling.
- 1小时安装量
- 5
- GitHub Stars
- 1297
- 最近更新
- 10月19日
langchain-ailanggraph-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.
- 1小时安装量
- 5
- GitHub Stars
- 1318
- 最近更新
- 10月25日
langchain-aimanaged-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;
- 1小时安装量
- 5
- GitHub Stars
- 1318
- 最近更新
- 10月25日
langchain-aideep-agents-core
INVOKE THIS SKILL when building ANY Deep Agents application. Covers createdeepagent(), harness architecture, SKILL.md format, and configuration options.
- 1小时安装量
- 4
- GitHub Stars
- 1298
- 最近更新
- 10月19日
langchain-aideep-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.
- 1小时安装量
- 4
- GitHub Stars
- 1316
- 最近更新
- 10月25日
langchain-aideepagents-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.
- 1小时安装量
- 4
- GitHub Stars
- 1298
- 最近更新
- 10月19日
langchain-aiecosystem-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.
- 1小时安装量
- 4
- GitHub Stars
- 1298
- 最近更新
- 10月19日
langchain-aieval-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.
- 1小时安装量
- 4
- GitHub Stars
- 1298
- 最近更新
- 10月19日
langchain-ailangchain-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.
- 1小时安装量
- 4
- GitHub Stars
- 1298
- 最近更新
- 10月19日
langchain-ailangchain-fundamentals
Create LangChain agents with createagent, define tools, and use middleware for human-in-the-loop and error handling.
- 1小时安装量
- 4
- GitHub Stars
- 1298
- 最近更新
- 10月19日
langchain-ailangchain-rag
INVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system. Covers document loaders, RecursiveCharacterTextSplitter, embeddings (OpenAI), and vector stores (Chroma, FAISS, Pinecone).
- 1小时安装量
- 4
- GitHub Stars
- 1298
- 最近更新
- 10月19日
langchain-ailanggraph-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.
- 1小时安装量
- 4
- GitHub Stars
- 1298
- 最近更新
- 10月19日
langchain-ailanggraph-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.
- 1小时安装量
- 4
- GitHub Stars
- 1298
- 最近更新
- 10月19日
langchain-ailanggraph-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.
- 1小时安装量
- 4
- GitHub Stars
- 1298
- 最近更新
- 10月19日
langchain-ailanggraph-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.
- 1小时安装量
- 4
- GitHub Stars
- 1298
- 最近更新
- 10月19日
langchain-aideep-agents-orchestration
INVOKE THIS SKILL when using subagents, task planning, or human approval in Deep Agents. Covers SubAgentMiddleware, TodoList for planning, and HITL interrupts.
- 1小时安装量
- 2
- GitHub Stars
- 1300
- 最近更新
- 10月21日
langchain-ailangsmith-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.
- 1小时安装量
- 2
- GitHub Stars
- 1262
- 最近更新
- 9月25日
langchain-aiswarm
Dispatches many independent items in parallel: create a table, fan out to subagents, aggregate results. One row = one unit of work.
- 1小时安装量
- 2
- GitHub Stars
- 1318
- 最近更新
- 10月29日
langchain-ailangsmith-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.
- 1小时安装量
- 2
- GitHub Stars
- 161
- 最近更新
- 10月2日