divedra-workflow-run

What problem does it solve?

This skill helps you operate existing divedra workflow bundles to run them reliably, monitor progress, and recover from failures using session controls and GraphQL inspection.

Core Features & Use Cases

• Workflow discovery and preflight: list available workflows, validate bundles, and inspect normalized structure before execution.
• Deterministic and supervised execution: run plain or supervised workflows with auto-improve options, including mock scenarios to avoid backend calls.
• Session operations and deep diagnostics: resume, rerun from a step, continue from an artifact boundary, and inspect runtime/session details via GraphQL.
• Remote/serve targeting: run against a GraphQL endpoint by starting the local control plane and passing an endpoint for server-backed execution.
• Step-level debugging guidance: use call-step for local, targeted step calls while relying on GraphQL for merged execution and logs.

Quick Start

Ask the AI to generate and run an appropriate workflow by executing workflow usage, then run the selected workflow with supervised recovery enabled and JSON output.