LangGraph Execution Control

What problem does it solve?

This Skill provides advanced control over LangGraph execution, enabling complex workflows, parallel processing, human-in-the-loop interruptions, and real-time data streaming.

Core Features & Use Cases

• Workflow vs. Agent: Differentiate between fixed and dynamic control flows.
• Parallel Execution: Utilize the Send API for fan-out/fan-in patterns.
• Human-in-the-Loop: Implement conditional pausing and resuming using interrupt() and Command.
• Streaming: Control how data is streamed back (state, deltas, messages, custom).
• Use Case: Orchestrate a map-reduce process where multiple agents process parts of a task in parallel, then a final agent synthesizes the results, with the option to pause for human approval before synthesis.

Quick Start

Invoke the LangGraph Execution Control skill to run a workflow that fans out tasks to parallel workers and synthesizes their results.