machine-learning-ops
This plugin orchestrates end-to-end ML workflows through three specialized agents (data scientist, ML engineer, MLOps engineer) that coordinate data analysis, model development, deployment, and monitoring via a unified pipeline command. It provides templates and automated coordination for feature engineering, training configuration, model serving, experiment tracking, and production retraining across the full machine learning lifecycle.
Install
Source: https://github.com/Ormus-Solutions/LibreUIUX-Claude-Code/tree/HEAD/plugins/machine-learning-ops
What it's made of
1 command · 3 agents · 1 skill
- Commands
- 1
- Agents
- 3
- Skills
- 1
- MCP servers
- 0
- Hooks
- 0
What it needs & plugs into
- API keys
- none
- Paid services
- none detected
- External tools
- none
- Talks to
- nothing external detected
Analyzed . Facts extracted from the plugin's files. Prose generated by claude-haiku-4-5-20251001.
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