ml-pipeline-workflow
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.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install microck-ordinary-claude-skills-ml-pipeline-workflow
Repository
Skill path: skills_categorized/llm-ai/ml-pipeline-workflow
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.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Full Stack, DevOps, Data / AI.
Target audience: Development teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: Microck.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install ml-pipeline-workflow into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/Microck/ordinary-claude-skills before adding ml-pipeline-workflow to shared team environments
- Use ml-pipeline-workflow for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.