LangGraph Routing Skill

SkillDev tools

Conditional edge routing and state-based transitions for LangGraph workflows

Use LangGraph Routing Skill in Claude, ChatGPT or Ahel Desktop

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Also: Claude Code · Cursor · Codex

Then ask your AI: use the LangGraph Routing Skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.

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Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

LangGraph Routing SkillStart free

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/ai-agents-conversational/skills/langgraph-routing/SKILL.md and read by Ahel’s review.

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

Conditional Edges: add_conditional_edges with routing functions
Router Nodes: Dedicated nodes for routing decisions
State-Based Routing: Routing based on state values
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

Signals

GitHub stars: 2k
Forks: 113
Last commit: Sep 2026

Advanced

Item type: skill
Key: langgraph-routing
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter