ml-pipeline

name	ml-pipeline
description	Coordinate ML-related analysis work by defining the problem, identifying required data, planning extraction, analyzing results, and producing recommendations or follow-up implementation tasks.

ML Pipeline

Workflow

1. Read root AGENTS.md and the relevant product or system context.
2. Define the ML or data problem precisely.
3. Determine required data and extraction approach.
4. Analyze or model the data.
5. Produce recommendations and implementation follow-up.