/langgraph-routing

name: langgraph-routing
description: Conditional edge routing and state-based transitions for LangGraph workflows
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graph:
  domains: [domain:software-engineering]
  specializations: [specialization:ai-agents-conversational]
  skillAreas: [skill-area:agentic-loops, skill-area:agent-planning-reasoning]
  roles: [role:ml-engineer, role:backend-engineer]
  workflows: [workflow:feature-development, workflow:ml-model-lifecycle]
  topics: [topic:event-driven-architecture]

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