LangChain Skills
PluginAgent skills for building agents with LangChain, LangGraph, and Deep Agents
This plugin provides a curated collection of agent skills designed to assist developers using LangChain, LangGraph, and Deep Agents frameworks. It covers foundational concepts, RAG pipelines, persistence, orchestration, and human-in-the-loop workflows, with installation options for local projects and global agent environments.
Documentation
- warning:Configuration & parameter referenceEnvironment variables like OPENAI_API_KEY and ANTHROPIC_API_KEY are mentioned as required in the README, but their precedence or default handling is not explicitly documented.
Maintenance
- warning:Commit recencyThere are no commits in the last 12 months, indicating the project may be unmaintained.
Security
- warning:Secret ManagementThe README mentions exporting API keys directly into the environment, which could be a risk if not handled carefully, and there's no indication of secrets being managed via a more secure mechanism like userConfig.
- warning:Keychain-stored secretsThe README instructs users to export API keys directly into the environment, which does not utilize secure keychain storage mechanisms for sensitive credentials.
Versioning
- warning:Release ManagementThe plugin.json specifies a version '0.1.0', but there are no GitHub release tags or a CHANGELOG.md, and the commit date is unavailable, suggesting basic versioning without formal releases.
Установка
Сначала добавьте Marketplace
/plugin marketplace add langchain-ai/langchain-skills/plugin install langchain-skills@langchain-skillsСодержит 11 расширений
Skill (11)
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.
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.
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