AI model or service
LangChain agent skills for Claude Code, Codex and other agents.
- skills
- 149
- official
- 39
- Type
- AI model or service
- Website
- langchain.com
- Official GitHub
- langchain-ai
LangChain skills, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
Official (39 skills)
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | 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/ | 1.3k | — | ~3k | Automated safety check: Pass | MIT | yesterday |
| 2 | Migrates Python LangChain Deep Agents applications to Pydantic AI and Pydantic AI Harness while preserving the application's observed behavior. | pydantic/ | 20k | — | ~1.7k | Automated safety check: Pass | MIT | today |
| 3 | Skill for compiling and writing release notes for langchain-azure packages. | langchain-ai/ | 147 | — | ~1.2k | Automated safety check: Pass | MIT | today |
| 4 | Add, move, rename, or delete a page on the LangChain docs site. | langchain-ai/ | 424 | — | ~2k | Automated safety check: Pass | MIT | today |
| 5 | A skill your agent uses when adding, debugging, or modifying LLMObs plugins for an LLM library in dd-trace-js. | DataDog/ | 836 | — | ~1.4k | Automated safety check: Pass | Unknown | today |
| 6 | Wires up an Airbyte connector for use in a PydanticAI, Claude SDK, or other agent. | airbytehq/ | 135 | — | ~1.7k | Automated safety check: Notes | Unknown | yesterday |
| 7 | Routes LangGraph agents with typed decision models that return probabilities, and finds LLM calls that only exist to produce a routing decision. | langchain-ai/ | 1.3k | — | ~2.3k | Automated safety check: Pass | MIT | yesterday |
| 8 | Build batteries-included agents with planning, context management, subagent delegation, and sandboxed execution. | langchain-ai/ | 424 | — | ~1.1k | Automated safety check: Pass | MIT | today |
| 9 | 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/ | 1.3k | 1 repo | ~3.1k | Automated safety check: Pass | MIT | yesterday |
| 10 | 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/ | 147 | — | ~2.3k | Automated safety check: Pass | MIT | today |
| 11 | Builds a complete agent with multiple Airbyte connectors using PydanticAI or Claude SDK. | airbytehq/ | 135 | — | ~1.7k | Automated safety check: Notes | Unknown | yesterday |
| 12 | Migrate Python LangChain, LangGraph, or Deep Agents applications to Pydantic AI and, when the source uses harness features, Pydantic AI Harness. | pydantic/ | 20k | — | ~2.5k | Automated safety check: Pass | MIT | today |
| 13 | Guides designing and building an official Apify integration for a company's product: workflow-automation apps, AI agent plugins, AI framework packages or direct API clients. | apify/ | 2.4k | — | ~3.1k | Automated safety check: Pass | No licence | today |
| 14 | 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/ | 424 | — | ~4.6k | Automated safety check: Pass | MIT | today |
| 15 | 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/ | 1.3k | 1 repo | ~3.6k | Automated safety check: Pass | MIT | yesterday |
| 16 | INVOKE THIS SKILL at the START of any LangChain/LangGraph/Deep Agents project, before writing any agent code. | langchain-ai/ | 118 | — | ~1.8k | Automated safety check: Pass | MIT | 15 days ago |
| 17 | INVOKE THIS SKILL when you need human-in-the-loop approval, custom middleware, or structured output. | langchain-ai/ | 1.3k | 1 repo | ~2.7k | Automated safety check: Pass | MIT | yesterday |
| 18 | Build LangChain agents with modern patterns. An agent skill from langchain-ai/skills-benchmarks. | langchain-ai/ | 118 | — | ~2.5k | Automated safety check: Pass | MIT | 15 days ago |
| 19 | INVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system. | langchain-ai/ | 1.3k | 1 repo | ~3.9k | Automated safety check: Pass | MIT | yesterday |
| 20 | ALWAYS START HERE for any LangChain, Deep Agents, or LangGraph agent building project. | langchain-ai/ | 118 | — | ~4.1k | Automated safety check: Pass | MIT | 15 days ago |
| 21 | Build agents with a prebuilt architecture and integrations for any model or tool. | langchain-ai/ | 424 | — | ~1.1k | Automated safety check: Pass | MIT | today |
| 22 | Build stateful, durable agent workflows with LangGraph. An agent skill from langchain-ai/docs. | langchain-ai/ | 424 | — | ~1.1k | Automated safety check: Pass | MIT | today |
| 23 | Trace, evaluate, and deploy AI agents and LLM applications with LangSmith. | langchain-ai/ | 424 | — | ~935 | Automated safety check: Pass | MIT | today |
| 24 | INVOKE THIS SKILL when writing ANY LangGraph code. An agent skill from langchain-ai/langchain-skills. | langchain-ai/ | 1.3k | 2 repos | ~1.5k | Automated safety check: Pass | MIT | yesterday |
| 25 | Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. | github/ | 40k | 2 repos | ~4.6k | Automated safety check: Pass | MIT | today |
| 26 | Create a LangChain docs integration listing from a structured GitHub issue submission (issue form fields as JSON). | langchain-ai/ | 424 | — | ~1.3k | Automated safety check: Pass | MIT | today |
| 27 | 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/ | 1.3k | — | ~2k | Automated safety check: Pass | MIT | yesterday |
| 28 | 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/ | 1.3k | — | ~3.1k | Automated safety check: Pass | MIT | yesterday |
| 29 | Document new or changed docs-team tooling on the Notion tooling pages. | langchain-ai/ | 424 | — | ~1.7k | Automated safety check: Pass | MIT | today |
| 30 | Scaffold a minimal local Deep Agent in Python by following the official quickstart, using provider-native web search instead of Tavily. | langchain-ai/ | 1.3k | — | ~549 | Automated safety check: Notes | MIT | yesterday |
| 31 | Scaffold a minimal local Deep Agent in TypeScript by following the official quickstart, using provider-native web search instead of Tavily. | langchain-ai/ | 1.3k | — | ~548 | Automated safety check: Notes | MIT | yesterday |
| 32 | Scaffold a minimal local LangGraph agent in Python by following the official quickstart. | langchain-ai/ | 1.3k | — | ~454 | Automated safety check: Notes | MIT | yesterday |
| 33 | Scaffold a minimal local LangGraph agent in TypeScript by following the official quickstart. | langchain-ai/ | 1.3k | — | ~455 | Automated safety check: Notes | MIT | yesterday |
| 34 | Scaffold a minimal local LangChain agent in Python by following the official quickstart. | langchain-ai/ | 1.3k | — | ~368 | Automated safety check: Notes | MIT | yesterday |
| 35 | Scaffold a minimal local LangChain agent in TypeScript by following the official quickstart. | langchain-ai/ | 1.3k | — | ~377 | Automated safety check: Notes | MIT | yesterday |
| 36 | Process open LangChain docs integration PRs against the hosted-guide featuring policy (50K monthly downloads or maintainer feature override). | langchain-ai/ | 424 | — | ~1.7k | Automated safety check: Pass | MIT | today |
| 37 | 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/ | 424 | — | ~1.6k | Automated safety check: Pass | MIT | today |
| 38 | Setup Sentry AI Agent Monitoring in any project. An agent skill from getsentry/sentry-for-ai. | getsentry/ | 268 | — | ~5.5k | Automated safety check: Notes | Apache-2.0 | today |
| 39 | Instrument an application with Sentry — detect the platform, install and initialize the SDK if needed, and wire up any signal — error monitoring, tracing/performance, logging, metrics, profiling… | getsentry/ | 268 | — | ~3.2k | Automated safety check: Pass | Apache-2.0 | today |
Community
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 40 | Adds persistent memory to AI apps with the Mem0 Python and TypeScript SDKs: store, search, update and delete user memories, with framework integrations. | mem0ai/ | 67k | 1 repo | ~1.9k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 41 | This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisions | Chen-zexi/ | 730 | 4 repos | ~1.3k | Automated safety check: Pass | MIT | 8 mo ago |
| 42 | Debugs LangChain and LangGraph agents by pulling recent execution traces with the langsmith-fetch CLI and reporting errors, tool calls, timings and token use. | ComposioHQ/ | 77k | 9 repos | ~2.7k | Automated safety check: Pass | No licence | 19 days ago |
| 43 | Add a new self-contained example agent under examples/. An agent skill from GetBindu/Bindu. | GetBindu/ | 10k | — | ~1.1k | Automated safety check: Notes | Unknown | 1 mo ago |
| 44 | Helps instrument a custom Python or TypeScript agent to record events for Failproof AI, verify what gets written, and run an evaluator worker that scores the runs. | FailproofAI/ | 5.3k | — | ~6k | Automated safety check: Pass | Unknown | yesterday |
| 45 | Migrate existing AI agent projects (LangChain, LangGraph, OpenAI Agents SDK, Claude Agent SDK, CrewAI) to EdgeOne Makers platform conventions. | TencentEdgeOne/ | 1.9k | 1 repo | ~4.1k | Automated safety check: Pass | MIT | 14 days ago |
| 46 | 46.Synalinks A skill your agent uses for anything involving the Synalinks neuro-symbolic LM framework (Keras-inspired): DataModel/Field/Input, JSON operators (+ & | ^ ~), synalinks.ops… | SynaLinks/ | 907 | — | ~4.8k | Automated safety check: Pass | Apache-2.0 | 9 days ago |
| 47 | 47.Project Defines the typia product contract, workspace layout, package boundaries, and canonical commands. | samchon/ | 5.9k | — | ~1.8k | Automated safety check: Pass | MIT | today |
| 48 | Sets up FAISS for fast nearest-neighbor search over large collections of dense vectors, choosing between Flat, IVF, HNSW and product quantization indexes. | Orchestra-Research/ | 13k | 7 repos | ~1.3k | Automated safety check: Pass | MIT | 3 mo ago |
Questions, answered from the data.
What is the best LangChain skill?
Swarm Parallel Dispatch (official) from langchain-ai/langchain-skills ranks first of the 149 LangChain skills listed here, with the highest score: its repository has 1.3k GitHub stars, its SKILL.md loads about 3k tokens and it passes the automated safety check with no findings. Next come Deep Agents to Pydantic AI Migration and Release Notes.
Is there an official LangChain skill?
39 of the 149 LangChain skills are official, published by the vendor's own GitHub organization: Swarm Parallel Dispatch, Deep Agents to Pydantic AI Migration, Release Notes, Add Docs Page, Llmobs Integration and 34 more.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.