langgraph-v2 - Build stateful AI workflows with LangGraph
Build and review LangGraph workflows using graphs, state management, routing, persistence, human-in-the-loop patterns, and provenance-aware execution.
Tags
Updated: 2026-10-08Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Construct graph workflows
- Manage state and reducers
- Define nodes and edges
- Route conditionally
- Configure persistence checkpointers
- Integrate human-in-the-loop patterns
- Integrate tools
- Execute streams asynchronously
- Review workflow provenance
Inputs
- User task requirements
- Workflow scope
- Copied upstream files
- Provenance metadata
- Repository context
Outputs
- LangGraph workflow result
- Provenance review notes
- Workflow validation findings
- Handoff recommendation
- Reviewer packet
Requirements
- Python 3.9+
- LangGraph package
- Repository access