ml-pipeline-workflow

ml pipeline workflow

wshobson ↓ 8.4k

Claude Code

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What it does

Building new ML pipelines from scratch
Designing workflow orchestration for ML systems
Implementing data → model → deployment automation
Setting up reproducible training workflows
Creating DAG-based ML orchestration
Integrating ML components into production systems
End-to-end workflow design

Derived from the skill's own SKILL.md documentation · extracted 2026-07-23

ml pipeline workflow

Source

Repository: https://github.com/wshobson/agents

ml-pipeline-workflow FAQ

What does the ml-pipeline-workflow skill do?

Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementing MLOps practices, or automating model training and deployment workflows. Building new ML pipelines from scratch Designing workflow orchestration for ML systems

How do I install ml-pipeline-workflow?

Run: npx -y skills add https://github.com/wshobson/agents --skill ml-pipeline-workflow --agent claude-code — the source lives at github.com/wshobson/agents.

Maintain ml-pipeline-workflow?

Let people know it's listed here — add the badge (live metrics, light/dark aware) or a plain link to your README or docs.

[![ml-pipeline-workflow on getagentictools](https://getagentictools.com/badge/skills/wshobson-agents-ml-pipeline-workflow.svg)](https://getagentictools.com/skills/wshobson-agents-ml-pipeline-workflow?ref=badge)

npx agentictools info skills/wshobson-agents-ml-pipeline-workflow

The second line is the CLI lookup for this page — handy in READMEs and docs.