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machine-learning-ops

v1.2.2

ML model training pipelines, hyperparameter tuning, model deployment automation, experiment tracking, and MLOps workflows

CodexClaude Code2 skills

by Seth HobsonMIT38.6kupdated 4 days ago

Source

git clone https://github.com/wshobson/agents

Clone the source, then follow the repository's marketplace instructions for your runtime. The plugin root is plugins/machine-learning-ops/ inside the repository.

Layout

plugins/machine-learning-ops/
├── .codex-plugin/plugin.json
├── .claude-plugin/plugin.json
├── skills/ml-pipeline-workflow/SKILL.md
└── skills/recsys-pipeline-architect/SKILL.md

Skills2

ml-pipeline-workflowskills/ml-pipeline-workflow/SKILL.md

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.

recsys-pipeline-architectskills/recsys-pipeline-architect/SKILL.md

Design composable recommendation, ranking, and feed pipelines using the six-stage Source→Hydrator→Filter→Scorer→Selector→SideEffect framework popularized by xAI's open-sourced X For You algorithm. Use when building any system that picks "the top K items for a (user, context)" — content feeds, search ranking, RAG rerankers, task prioritizers, notification triage, ad selection.

Manifests2

plugins/machine-learning-ops/.codex-plugin/plugin.json
{
  "name": "machine-learning-ops",
  "version": "1.2.2",
  "description": "ML model training pipelines, hyperparameter tuning, model deployment automation, experiment tracking, and MLOps workflows",
  "skills": "./skills/",
  "author": {
    "name": "Seth Hobson",
    "email": "seth@major7apps.com"
  },
  "license": "MIT",
  "interface": {
    "displayName": "Machine Learning Ops",
    "shortDescription": "ML model training pipelines, hyperparameter tuning, model deployment automation, experiment tracking, and MLOps…",
    "category": "Coding"
  }
}
plugins/machine-learning-ops/.claude-plugin/plugin.json
{
  "name": "machine-learning-ops",
  "version": "1.2.2",
  "description": "ML model training pipelines, hyperparameter tuning, model deployment automation, experiment tracking, and MLOps workflows",
  "author": {
    "name": "Seth Hobson",
    "email": "seth@major7apps.com"
  },
  "license": "MIT"
}