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MLOps Initialization

Guide to initialize a new MLOps project with standard tools (uv, git, VS Code) and best practices.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
1,400
Hot score
99
Updated
March 20, 2026
Overall rating
C4.5
Composite score
4.5
Best-practice grade
C61.2

Install command

npx @skill-hub/cli install fmind-mlops-python-package-mlops-initialization

Repository

fmind/mlops-python-package

Skill path: .gemini/skills/MLOps Initialization

Guide to initialize a new MLOps project with standard tools (uv, git, VS Code) and best practices.

Open repository

Best for

Primary workflow: Ship Full Stack.

Technical facets: Full Stack.

Target audience: Development teams looking for install-ready agent workflows..

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: fmind.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install MLOps Initialization into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/fmind/mlops-python-package before adding MLOps Initialization to shared team environments
  • Use MLOps Initialization for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

MLOps Initialization | SkillHub