pipeline-architecture

What problem does it solve?

This Skill provides a structured approach to designing and implementing data processing workflows, enabling efficient handling of complex sequential and parallel tasks.

Core Features & Use Cases

• Stage-based Processing: Break down complex tasks into manageable, reusable stages.
• Flexible Execution: Supports sequential, parallel (DAG-based and resource-based), and conditional execution of stages.
• Observability: Includes mechanisms for monitoring stage performance, resource utilization, and data flow.
• Use Case: Process large video files by extracting frames (CPU-bound), running inference on GPUs, and saving results (I/O-bound) in a highly optimized, parallel pipeline.

Quick Start

Implement a video processing pipeline using the pipeline-architecture skill to extract frames, run GPU inference, and save results.