prefect-workflows

What problem does it solve?

This Skill helps you design reliable, production-ready data workflows by turning data engineering tasks into maintainable Prefect 3 flows with scheduling, deployments, concurrency, retries, caching, and failure handling.

Core Features & Use Cases

• Workflow Authoring in Python: Build flows and tasks using @flow and @task decorators, structuring ingestion, transformation, and loading logic as composable units.
• Reliability Controls: Configure retries, timeouts, caching policies, tags, and task-level behaviors to make pipelines resilient and efficient.
• Operations & Deployment: Create and manage deployments with prefect.yaml, run pools/worker infrastructure, and state hooks to observe and react to success or failure.
• Parallelism Patterns: Execute fan-out workloads using submit(), map(), nested flows (subflows), and runner backends for different infrastructure types.

Quick Start

Use the prefect-workflows skill to generate a Prefect 3 flow that ingests daily data from S3 into your warehouse, with retries, caching for expensive reads, and a deployment schedule defined in prefect.yaml.