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moai-domain-ml-ops

A comprehensive skill for orchestrating the complete machine learning lifecycle using a modern MLOps stack, including experiment tracking, data versioning, model deployment, and monitoring.

Packaged view

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

Stars
3
Hot score
80
Updated
March 20, 2026
Overall rating
C0.8
Composite score
0.8
Best-practice grade
F0.0

Install command

npx @skill-hub/cli install ajbcoding-claude-skill-eval-moai-domain-ml-ops
mlopsmachine-learningdeploymentorchestrationkubernetes

Repository

AJBcoding/claude-skill-eval

Skill path: skills/moai-domain-ml-ops

A comprehensive skill for orchestrating the complete machine learning lifecycle using a modern MLOps stack, including experiment tracking, data versioning, model deployment, and monitoring.

Open repository

Best for

Primary workflow: Research & Ops.

Technical facets: Full Stack, DevOps, Data / AI.

Target audience: everyone.

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: AJBcoding.

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

What it helps with

  • Install moai-domain-ml-ops into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/AJBcoding/claude-skill-eval before adding moai-domain-ml-ops to shared team environments
  • Use moai-domain-ml-ops for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

moai-domain-ml-ops | SkillHub