langgraph-routing
Conditional edge routing and state-based transitions for LangGraph workflows
Best use case
langgraph-routing is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Conditional edge routing and state-based transitions for LangGraph workflows
Teams using langgraph-routing should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/langgraph-routing/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How langgraph-routing Compares
| Feature / Agent | langgraph-routing | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Conditional edge routing and state-based transitions for LangGraph workflows
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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
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