Mastering Langgraph

Build stateful AI agents and agentic workflows with LangGraph in Python. Covers tool-using agents with LLM-tool loops, branching workflows, conversation memory, human-in-the-loop oversight, and production monitoring. Use when - (1) building agents that use tools and loop until task complete, (2) creating multi-step workflows with conditional branches, (3) adding persistence/memory across turns with checkpointers, (4) implementing human approval with interrupt(), (5) debugging via time-travel or LangSmith. Covers StateGraph, nodes, edges, add_conditional_edges, MessagesState, thread_id, Command

41 stars 3 forksProductivity & Notes

Install

skills CLI (Claude Code, Cursor, Codex and more)
npx skills add SpillwaveSolutions/mastering-langgraph-agent-skill --skill mastering-langgraph
Manual install
git clone --depth 1 https://github.com/SpillwaveSolutions/mastering-langgraph-agent-skill.git /tmp/mastering-langgraph-agent-skill
mkdir -p ~/.claude/skills
cp -r /tmp/mastering-langgraph-agent-skill/. ~/.claude/skills/mastering-langgraph

Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.

From the SKILL.md

# LangGraph Development Guide

Build stateful AI agents and workflows by defining graphs of nodes (steps) connected by edges (transitions).

## Contents

- [Quick Start](#quick-start)
- [Common Build Scenarios](#common-build-scenarios)
- [Core Principles](#core-principles)
- [Development Workflow](#development-workflow)
- [Common Pitfalls](#common-pitfalls)
- [Environment Setup](#environment-setup)
- [Quick Verification](#quick-verification)
- [API Essentials](#api-essentials)
- [Next Steps](#next-steps)

## Quick Start

Minimal chatbot with memory:
Read the full skill on GitHub

Details

Skill name
mastering-langgraph
Repo updated
20 August 2026

FAQ

What does the Mastering Langgraph skill do?

Build stateful AI agents and agentic workflows with LangGraph in Python. Covers tool-using agents with LLM-tool loops, branching workflows, conversation memory, human-in-the-loop oversight, and production monitoring. Use when - (1) building agents that use tools and loop until task complete, (2) creating multi-step workflows with conditional branches, (3) adding persistence/memory across turns with checkpointers, (4) implementing human approval with interrupt(), (5) debugging via time-travel or LangSmith. Covers StateGraph, nodes, edges, add_conditional_edges, MessagesState, thread_id, Command

How do I install the Mastering Langgraph skill?

skills CLI (Claude Code, Cursor, Codex and more): npx skills add SpillwaveSolutions/mastering-langgraph-agent-skill --skill mastering-langgraph. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.

Is Mastering Langgraph popular?

It lives in SpillwaveSolutions/mastering-langgraph-agent-skill, which has 41 GitHub stars and 3 forks.

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