How do I install the ML Pipeline Claude Code skill?

Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/ml-pipeline/SKILL.md and restart Claude Code. Both flows are detailed at https://claudskills.com/install/.

Is this skill free to install?

Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.

ClaudSkills / Science & Research / science-misc

ML Pipeline

Category: Science & Research · Sub-category: science-misc · Last updated: 2026-05-21

Designs and implements production-grade ML pipeline infrastructure: configures experiment tracking with MLflow or Weights & Biases, creates Kubeflow or Airflow DAGs for training orchestration, builds feature store schemas with Feast, deploys model registries, and automates retraining and validation workflows. Use when building ML pipelines, orchestrating training workflows, automating model lifecycle, implementing feature stores, managing experiment tracking systems, setting up DVC for data versioning, tuning hyperparameters, or configuring MLOps tooling like Kubeflow, Airflow, MLflow, or Prefect.

From the source SKILL.md

Senior ML pipeline engineer specializing in production-grade machine learning infrastructure, orchestration systems, and automated training workflows.

What this skill does

ML Pipeline is a community-contributed Claude Code skill in the science-misc sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/ml-pipeline/ and loads when your prompt matches the skill's trigger.

When to invoke it: Use when building ML pipelines, orchestrating training workflows, automating model lifecycle, implementing feature stores, managing experiment tracking systems, setting up DVC for data versioning, tuning hyperparameters, or configuring MLOps tooling like Kubeflow, Airflow, MLflow, or Prefect.

Who uses this skill

The ML Pipeline Claude Code skill is built for researchers, data scientists, academics, and analysts working with complex data and scientific literature. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 70,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/ml-pipeline
curl -L https://claudskills.com/skills/ml-pipeline/SKILL.md \
  -o ~/.claude/skills/ml-pipeline/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/ml-pipeline/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/ml-pipeline/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\ml-pipeline\SKILL.md on Windows. See the full install guide for step-by-step instructions.

Pro

One-click install via the desktop app

The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.

Pro

For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.

See pricing → Download desktop app

Attribution & license

License: MIT

Cite this skill

If you reference this skill in a blog post, paper, or documentation, you can cite it as:

APA

ClaudSkills. (2026). ML Pipeline [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/ml-pipeline/

BibTeX

@misc{ml-pipeline-2026,
  author    = {ClaudSkills},
  title     = {ML Pipeline [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/ml-pipeline/}
}

Embed this skill

Promote, attribute, or link this skill from your own README, blog post, or documentation. All three snippets are free to use — no sign-up, no API key. More distribution surfaces →

Badge

[![ClaudSkills](https://claudskills.com/badge/ml-pipeline.svg)](https://claudskills.com/skills/ml-pipeline/?utm_source=badge&utm_medium=readme&utm_campaign=skill_badge)

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