LangGraph Fundamentals
INVOKE THIS SKILL when writing ANY LangGraph code. Covers StateGraph, state schemas, nodes, edges, Command, Send, invoke, streaming, and error handling.
Overview
LangGraph Fundamentals is a SKILL.md-based agent skill sourced from langchain-ai/langchain-skills. It is categorized under data analysis and is listed for Codex, Claude. The source description focuses on: INVOKE THIS SKILL when writing ANY LangGraph code. Covers StateGraph, state schemas, nodes, edges, Command, Send, invoke, streaming, and error handling. AIToolly summarizes this page as a directory entry rather than copying the full third-party skill content, so users can evaluate the source, compatibility, and practical fit before installing it.
Use Cases
Install Notes
# Review source first
open https://github.com/langchain-ai/langchain-skills/blob/main/config/skills/langgraph-fundamentals/SKILL.mdCopy or clone the skill folder into your agent skills directory after reviewing its instructions and scripts.
Security Notes
Review the source SKILL.md, referenced scripts, permissions, and external services before installing LangGraph Fundamentals. Treat third-party skills like code dependencies, especially when they can read files, call APIs, or run commands.
Related Skills
Electron
vercel-labs/agent-browser
Automate Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify, etc.) using agent-browser via Chrome DevTools Protocol. Use when the user needs to interact with an Electron app, automate a desktop app, connect to a running app, control a native app, or test an Electron application. Triggers include "au
CodeQL
trailofbits/skills
Scans a codebase for security vulnerabilities using CodeQL's interprocedural data flow and taint tracking analysis. Triggers on "run codeql", "codeql scan", "codeql analysis", "build codeql database", or "find vulnerabilities with codeql". Supports "run all" (security-and-quality + security-experimental suites) and "im
Deep Agents Orchestration
langchain-ai/langchain-skills
INVOKE THIS SKILL when using subagents, task planning, or human approval in Deep Agents. Covers SubAgentMiddleware, TodoList for planning, and HITL interrupts.
LangChain Fundamentals
langchain-ai/langchain-skills
Create LangChain agents with create_agent, define tools, and use middleware for human-in-the-loop and error handling.
Ecosystem Primer
langchain-ai/langchain-skills
INVOKE FIRST for any LangChain / LangGraph / Deep Agents agent building project before consulting other skills or writing any agent code. Required starting point for up to date info on framework selection (LangChain vs LangGraph vs Deep Agents vs hybrid composition), agent patterns, install, environment setup, and whic
LangChain RAG
langchain-ai/langchain-skills
INVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system. Covers document loaders, RecursiveCharacterTextSplitter, embeddings (OpenAI), and vector stores (Chroma, FAISS, Pinecone).