ml-pipeline-workflow

SKILL.md

Complete end-to-end MLOps pipeline orchestration from data preparation through model deployment.

This skill provides comprehensive guidance for building production ML pipelines that handle the full lifecycle: data ingestion → preparation → training → validation → deployment → monitoring.

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. Source: sickn33/antigravity-awesome-skills.

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill ml-pipeline-workflow Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

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