# Langgraph Routing

> Conditional edge routing and state-based transitions for LangGraph workflows

- Skill: `a5c-ai/langgraph-routing` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add a5c-ai/langgraph-routing`
- Raw SKILL.md: https://api.skillmd.com/api/skills/a5c-ai/langgraph-routing/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: a5c-ai (https://skillmd.com/u/a5c-ai)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/a5c-ai/langgraph-routing

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# LangGraph Routing Skill

## Capabilities

- Design conditional edge routing in LangGraph
- Implement state-based transition logic
- Create dynamic routing functions
- Handle multi-path workflow branches
- Implement router nodes for complex decisions
- Design fallback and error routing paths

## Target Processes

- langgraph-workflow-design
- plan-and-execute-agent

## Implementation Details

### Routing Patterns

1. **Conditional Edges**: add_conditional_edges with routing functions
2. **Router Nodes**: Dedicated nodes for routing decisions
3. **State-Based Routing**: Routing based on state values
4. **LLM-Based Routing**: Using LLM to determine next node

### Configuration Options

- Routing function definitions
- Path mapping configurations
- Default/fallback routes
- Cycle detection settings
- Max iteration limits

### Best Practices

- Clear routing logic documentation
- Handle all possible states
- Implement fallback paths
- Avoid infinite cycles
- Use descriptive edge names

### Dependencies

- langgraph