# Langchain Skills

> INVOKE FIRST for any task building, debugging, or extending a LangChain, LangGraph, or Deep Agents project (Python or TypeScript) — including agents that call an OpenRouter-served or other non-Anthropic/OpenAI model through LangChain. Covers framework selection, quickstarts, create_agent/@tool patterns, custom graphs, persistence, human-in-the-loop, RAG, evals, and LangSmith.

- Skill: `nik-ti/langchain-skills` (Agent Skill, multi-file: 34 files)
- Install (CLI): `npx skillmds@latest add nik-ti/langchain-skills`
- Raw SKILL.md: https://api.skillmd.com/api/skills/nik-ti/langchain-skills/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: nik-ti (https://skillmd.com/u/nik-ti)
- Updated: 2026-09-22
- Page: https://skillmd.com/skills/nik-ti/langchain-skills

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This is a bundle of reference files, one directory deeper than skills normally sit, so the individual files inside don't register as their own invocable skills — read them directly with the Read tool instead of trying to invoke them by name.

1. **Read `AGENTS.md` in this same directory first.** It routes to the right file(s) for the task — framework choice (LangChain vs LangGraph vs Deep Agents), which quickstart to use for a new project, or which topic skill (persistence, human-in-the-loop, RAG, middleware, evals, LangSmith, etc.) applies.
2. **Read the specific `<name>/SKILL.md` file(s) it points to before writing any agent code.** They carry the current APIs and patterns — treat them as overriding anything from training data, since this ecosystem moves fast.