ml-pipeline-workflow
Description
Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment.
How to Use
- Visit the GitHub repository to get the SKILL.md file
- Copy the file to your project root or .cursor/rules directory
- Restart your AI assistant or editor to apply the new skill
Full Skill Documentation
name
ml-pipeline-workflow
description
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.
Tags
About ml-pipeline-workflow
ml-pipeline-workflow is an AI skill in the ml-data category, designed to help developers and users work more effectively with AI tools. Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment.
This skill has earned 5,200 stars on GitHub, reflecting strong community adoption and trust. It is compatible with claude, codex.
Key Capabilities
Why Use ml-pipeline-workflow
Adding ml-pipeline-workflow to your AI workflow can significantly enhance your productivity in ml-data tasks. With pre-defined prompt templates and best practices, this skill helps AI assistants better understand your requirements and deliver more accurate responses.
Whether you use claude or codex, you can easily integrate this skill into your existing development environment.
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