AI & LLM Engineering · By langchain-ai

Builds agent evaluations in stages: inspect the repository and traces, agree a Task Spec with you, then build, audit and run a Harbor task with an independent verifier.

langchain-ai/langchain-skills

Design, test, create, and attach LangSmith online evaluators for production traces or conversation threads.

langchain-ai/langsmith-skills

Fans a list of independent items out to subagents in parallel, merges the results back into a table and supports retrying only the rows that failed.

langchain-ai/langchain-skills

Skill for compiling and writing release notes for langchain-azure packages.

langchain-ai/langchain-azure

Add, move, rename, or delete a page on the LangChain docs site.

langchain-ai/docs

INVOKE THIS SKILL when implementing human-in-the-loop patterns, pausing for approval, or handling errors in LangGraph.

langchain-ai/langchain-skills

Routes LangGraph agents with typed decision models that return probabilities, and finds LLM calls that only exist to produce a routing decision.

langchain-ai/langchain-skills

Build batteries-included agents with planning, context management, subagent delegation, and sandboxed execution.

langchain-ai/docs

INVOKE THIS SKILL when your LangGraph needs to persist state, remember conversations, travel through history, or configure subgraph checkpointer scoping.

langchain-ai/langchain-skills

Reviews changes in the langchain-azure monorepo using package-specific knowledge of langchain-azure-ai, langchain-azure-compute, langchain-azure-cosmosdb, langchain-azure-postgresql…

langchain-ai/langchain-azure

A skill your agent uses when migrating inline code samples from LangChain docs (MDX files) into external, testable code files that are extracted by this repo’s snippet scripts and used as Mintlify…

langchain-ai/docs

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.

langchain-ai/langsmith-skills

INVOKE THIS SKILL at the START of any LangChain/LangGraph/Deep Agents project, before writing any agent code.

langchain-ai/skills-benchmarks

Restructure documentation that spans several pages. An agent skill from langchain-ai/docs.

langchain-ai/docs

Build LangChain agents with modern patterns. An agent skill from langchain-ai/skills-benchmarks.

langchain-ai/skills-benchmarks

Explains how to build agents with the Deep Agents framework: create_deep_agent, the built-in middleware, the harness, SKILL.md format and configuration options.

langchain-ai/langchain-skills

Write or revise documentation prose so it reads like the rest of this site, in the docs team's shared voice.

langchain-ai/docs

ALWAYS START HERE for any LangChain, Deep Agents, or LangGraph agent building project.

langchain-ai/skills-benchmarks

Build agents with a prebuilt architecture and integrations for any model or tool.

langchain-ai/docs

Starting point for LangChain, LangGraph and Deep Agents projects: picks the right layer for the task, then points to install steps, setup and the next skill to load.

langchain-ai/langchain-skills

Build stateful, durable agent workflows with LangGraph. An agent skill from langchain-ai/docs.

langchain-ai/docs

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.

langchain-ai/langchain-skills

Trace, evaluate, and deploy AI agents and LLM applications with LangSmith.

langchain-ai/docs

Shows how to build LangChain agents with create_agent, define tools, add a checkpointer and use middleware for human approval and error handling, in Python and TypeScript.

langchain-ai/langchain-skills

Create a LangChain docs integration listing from a structured GitHub issue submission (issue form fields as JSON).

langchain-ai/docs

INVOKE THIS SKILL when you need human-in-the-loop approval, custom middleware, or structured output.

langchain-ai/langchain-skills

INVOKE THIS SKILL when writing ANY LangGraph code. An agent skill from langchain-ai/langchain-skills.

langchain-ai/langchain-skills

INVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system.

langchain-ai/langchain-skills

INVOKE THIS SKILL when using the langgraph CLI to scaffold, develop, build, or deploy LangGraph applications.

langchain-ai/langchain-skills

Scaffold a minimal local Deep Agent in TypeScript by following the official quickstart, using provider-native web search instead of Tavily.

langchain-ai/langchain-skills

Scaffold a minimal local LangGraph agent in Python by following the official quickstart.

langchain-ai/langchain-skills

Scaffold a minimal local LangGraph agent in TypeScript by following the official quickstart.

langchain-ai/langchain-skills

INVOKE THIS SKILL when building, testing, or deploying Managed Deep Agents in LangSmith.

langchain-ai/langchain-skills

Scaffold a minimal local LangChain agent in Python by following the official quickstart.

langchain-ai/langchain-skills

Scaffold a minimal local LangChain agent in TypeScript by following the official quickstart.

langchain-ai/langchain-skills

Process open LangChain docs integration PRs against the hosted-guide featuring policy (50K monthly downloads or maintainer feature override).

langchain-ai/docs

Check that a code sample, API signature, default, or behavior claim in the docs is actually true, by running it or reading the product source.

langchain-ai/docs

Fetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns.

langchain-ai/docs

A skill your agent uses when the user wants the current date and time written to a file via the bundled script inside the sandbox.

langchain-ai/docs