By langchain-ai
Build sophisticated AI agents using LangChain, LangGraph, and Deep Agents skills that enable task orchestration with subagents, memory and filesystem persistence, RAG pipelines, human-in-the-loop interactions, and framework selection in Python and TypeScript workflows.
npx claudepluginhub langchain-ai/langchain-skills --plugin langchain-skillsINVOKE 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.
⚠️ — This project is in early development. APIs and skill content may change.
Agent skills for building agents with LangChain, LangGraph, and Deep Agents.
Want your agent to self-improve? Use langsmith-skills to observe, evaluate, and iterate on your LLM applications.
These skills can be installed via npx skills for any agent that supports the Agent Skills specification, including Claude Code, Cursor, Windsurf, and more.
Using npx skills:
Local (current project):
npx skills add langchain-ai/langchain-skills --skill '*' --yes
Global (all projects):
npx skills add langchain-ai/langchain-skills --skill '*' --yes --global
To link skills to a specific agent (e.g. Claude Code):
npx skills add langchain-ai/langchain-skills --agent claude-code --skill '*' --yes --global
Install directly as a Claude Code plugin:
/plugin marketplace add langchain-ai/langchain-skills
/plugin install langchain-skills@langchain-skills
Alternatively, clone the repo and use the install script:
# Install for Claude Code in current directory (default)
./install.sh
# Install for Claude Code in a specific project directory
./install.sh ~/my-project
# Install for Claude Code globally
./install.sh --global
# Install for Deep Agents CLI in a specific project directory
./install.sh --deepagents ~/my-project
# Install for Deep Agents CLI globally (includes agent persona)
./install.sh --deepagents --global
| Flag / Argument | Description |
|---|---|
DIRECTORY | Target project directory (default: current directory, ignored with --global) |
--claude | Install for Claude Code (default) |
--deepagents | Install for Deep Agents CLI |
--global, -g | Install globally instead of current directory |
--force, -f | Overwrite skills with same names as this package |
--yes, -y | Skip confirmation prompts |
After installation, set your API keys:
export OPENAI_API_KEY=<your-key> # For OpenAI models
export ANTHROPIC_API_KEY=<your-key> # For Anthropic models
Then run your coding agent from the directory where you installed (for local installs) or from anywhere (for global installs).
Ultra-compressed communication mode. Cuts ~75% of tokens while keeping full technical accuracy by speaking like a caveman.
Comprehensive UI/UX design plugin for mobile (iOS, Android, React Native) and web applications with design systems, accessibility, and modern patterns
Creative skill for generating algorithmic and generative art. Produces visual designs using mathematical patterns, fractals, and procedural generation.
Frontend design skill for UI/UX implementation
Humanise text and remove AI writing patterns. Detects and fixes 24 AI tell-tales including inflated language, promotional tone, AI vocabulary, filler phrases, sycophantic tone, and formulaic structure.
Expert guidance for Next.js Cache Components and Partial Prerendering (PPR). Proactively activates in projects with cacheComponents: true, providing patterns for 'use cache' directive, cacheLife(), cacheTag(), cache invalidation, and parameter permutation rendering.