machine-learning-ops
v1.2.2ML model training pipelines, hyperparameter tuning, model deployment automation, experiment tracking, and MLOps workflows
By Seth HobsonLicense: MIT0 GitHub starsUpdated 4 months ago
Directory evidence
- Runtimes
- Claude Code
- Parsed components
- 2 skill or MCP entries
- Source updated
- Jun 22, 2026
- Manifest status
- Canonical path parsed
The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology →
Install machine-learning-ops for Claude Code
claude plugin marketplace add IchenDEV/agent-plugin-mkt
claude plugin marketplace update agent-plugin-marketplace
claude plugin install machine-learning-ops-3@agent-plugin-marketplacePaste and run these commands in a terminal with Claude Code. They add and refresh the PluginsMP catalog, then install this plugin.
The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.
Get the source manually
git clone https://github.com/yo-steven/agents-exploration-20260523Clone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is plugins/machine-learning-ops/.
Plugin files
├── .claude-plugin/plugin.json├── skills/ml-pipeline-workflow/SKILL.md└── skills/recsys-pipeline-architect/SKILL.md
Included Skills2
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.
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.
Plugin manifests1
{
"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": "[email protected]"
},
"license": "MIT"
}For maintainers
If you maintain this plugin, link to this source-backed listing from your README so users can review its manifest and indexed components.
[machine-learning-ops on Agent Plugins Marketplace](https://pluginsmp.com/plugins/machine-learning-ops-3)