Use when building or operating a machine learning pipeline. Covers feature engineering, training reproducibility, train/serve skew, deployment, monitoring for drift, and retraining.
How to install ml-pipeline?
nimadorostkar/claude-skills-collection/ml-pipeline
$npx -y skills add nimadorostkar/claude-skills-collection --skill ml-pipelineInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/nimadorostkar/claude-skills-collection" --skill "nimadorostkar/claude-skills-collection/ml-pipeline"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/nimadorostkar/claude-skills-collection" that are relevant to the current task. Run `npx skills add "https://github.com/nimadorostkar/claude-skills-collection"` and select the relevant skills, then follow their instructions.
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