# 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.

- Skill: `majiayu000/ml-pipeline-2` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add majiayu000/ml-pipeline-2`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/ml-pipeline-2/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: DevOps & Infra
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-22
- Page: https://skillmd.com/skills/majiayu000/ml-pipeline-2

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# 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.