Ml Pipeline

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

majiayu000 Updated 567 repo stars

File contents

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.

majiayu000/claude-skill-registry-data/tree/main/ai-ml/ml-pipeline-avav25-ai-assets-2 commit 33dcb849c2

Frequently asked questions

npx skillmds@latest add majiayu000/ml-pipeline-2