# Langgraph Engineering

> Building stateful, resilient AI agents with LangGraph v1.0.

- Skill: `dokhacgiakhoa/langgraph-engineering` (Agent Skill, multi-file: 4 files)
- Install (CLI): `npx skillmds@latest add dokhacgiakhoa/langgraph-engineering`
- Raw SKILL.md: https://api.skillmd.com/api/skills/dokhacgiakhoa/langgraph-engineering/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: Dokhacgiakhoa (https://skillmd.com/u/dokhacgiakhoa)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/dokhacgiakhoa/langgraph-engineering

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# LangGraph Agent Engineering

> **Goal**: Build complex, multi-step AI workflows that are reliable, debuggable, and capable of long-running operations.

## 1. Core Concepts (The Graph)

- **State**: A explicitly defined schema (TypedDict/Pydantic) that tracks the agent's memory snapshot.
- **Nodes**: Functions that perform work (call LLM, run tool, modify state).
- **Edges**: Logic that routes flow between nodes (Conditional edges based on LLM output).

## 2. Architecture Patterns

## 🧠 Knowledge Modules (Fractal Skills)

### 1. [A. The ReAct Agent (Standard)](./sub-skills/a-the-react-agent-standard.md)
### 2. [B. Plan-and-Execute (Advanced)](./sub-skills/b-plan-and-execute-advanced.md)
### 3. [C. Human-in-the-Loop](./sub-skills/c-human-in-the-loop.md)