Skills from LangChain’s repositories that passed our trust, licence and security gates. Each keeps its author’s attribution.
| Repository | Tier | Verdict | Authorship | Checked | Skills |
|---|---|---|---|---|---|
| langchain-ai/langchain-skills | Vendor | Approved · created 2026-01-22, pushed 2026-11-07, 1325 stars | Written in-house | 2026-11-07 | 22 |
Files are mirrored only where the licence allows redistribution; otherwise we link to the source.
LangChainOfficial
Scaffold a minimal, model-agnostic LangChain agent in TypeScript using the official quickstart guide.
LangChainOfficial
The essential starting point for selecting the right LangChain, LangGraph, or Deep Agents framework and planning your development workflow.
LangChainOfficial
Scaffold a minimal local Deep Agent in Python using provider-native search tools.
LangChainOfficial
Integrate TypeSafe decision models into LangGraph agents for efficient, probabilistic routing and classification.
LangChainOfficial
Implement human-in-the-loop patterns in LangGraph using interrupts and command-based resumption.
LangChainOfficial
A comprehensive workflow for engineering, auditing, and maintaining agent evaluation tasks and reusable project knowledge.
LangChainOfficial
Orchestrate Deep Agents using subagent delegation, task planning, and human-in-the-loop approval workflows.
LangChainOfficial
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.
LangChainOfficial
Scaffold a minimal, model-agnostic LangChain agent in a local Python environment.
LangChainOfficial
Implement state persistence, memory, and time travel in LangGraph applications.
LangChainOfficial
A framework for building opinionated, persistent AI agents with task planning, subagent delegation, and on-demand skill loading.
LangChainOfficial
A framework for parallelizing tasks across datasets using subagents or direct model calls.
LangChainOfficial
A guide for managing dependencies, versions, and environment requirements for the LangChain ecosystem.
LangChainOfficial
Middleware patterns for LangChain agents including human-in-the-loop approval and custom execution hooks.
LangChainOfficial
Learn to build LangChain agents using create_agent, custom tools, and middleware for state management and control.
LangChainOfficial
Essential guide for building stateful, multi-agent workflows using LangGraph.
LangChainOfficial
A guide for building, testing, and deploying code-first Managed Deep Agents in LangSmith.
LangChainOfficial
A guide for implementing Retrieval-Augmented Generation (RAG) pipelines using LangChain components.
LangChainOfficial
Scaffold a minimal, local LangGraph agent in Python using the official quickstart guide.
LangChainOfficial
Scaffold a minimal LangGraph agent in TypeScript using the official quickstart.
LangChainOfficial
Scaffold a minimal local Deep Agent in TypeScript using provider-native web search tools.
LangChainOfficial
Configure pluggable storage backends for Deep Agents to manage ephemeral, persistent, or local filesystem memory.