workflow-runner

To run multi-agent workflows without external API keys, execute YAML-defined task sequences directly in your AI session. This approach parses workflow files, resolves role prompts, and coordinates steps internally, eliminating the need for separate orchestration services.

YAML workflow orchestration is the process of defining sequential or parallel role coordination in a structured file. It allows multiple specialist roles to collaborate on a single task by loading specific role prompts, managing dependencies, and rendering variables to complete end-to-end processes.

Yes, Claude Code supports running YAML workflows for collaborative AI tasks. The workflow runner applies to Claude Code, OpenClaw, and Cursor tasks that require sequential or parallel role coordination, executing the defined steps and preserving outputs within the current session.

To define role dependencies and parallel steps in a YAML workflow file, structure your file to specify role assignments, step order, and parallel layers. The runner parses these inputs, resolves the correct role files, and orders dependent steps to ensure proper execution.

The best way to automate multi-role collaboration for research workflows is using a YAML-defined workflow runner. It handles role-based execution, step dependencies, and output saving, allowing multiple specialist roles to collaborate efficiently without external API services.

Workflow execution fails when resolving role files if the YAML definition references missing inputs, incorrect role assignments, or unresolved dependencies. Ensure the workflow file properly defines all steps, inputs, and role files so the runner can correctly parse and order the execution layers.