What problem does it solve? Setting up and operating Render Workflows involves unfamiliar SDK patterns, CLI tooling, and Dashboard deployment steps that are easy to get wrong, especially since the SDK is in beta and API signatures change. This Skill guides the full lifecycle so tasks register, run, and deploy correctly. ## Core Features & Use Cases - Scaffolding and Setup: Creates a self-contained workflows/ directory via render workflows init or a manual fallback using official starter templates for Python or TypeScript. - Task Patterns and Local Testing: Provides fan-out/fan-in, ETL, retry, and error-handling patterns plus a local task server workflow for iterating before deployment. - Deployment and Troubleshooting: Walks through Dashboard-based Workflow service deployment and diagnoses registration, execution, client, and networking failures. - Use Case: You need to process thousands of images in parallel. Use this Skill to scaffold a workflow, define a fan-out task with retries, test it locally with render workflows dev, and deploy it as a Workflow service on Render. ## Quick Start Set up a new Render Workflow in this project by scaffolding a Python workflow service with a sample task I can run locally.