mlx

Solid

Full-lifecycle ML workbench for Claude Code — research papers, discover datasets, train models. 11 agents, 16 skills, 3 CLI tools, 2 MCP servers, 3 output styles, Python LSP.

plugin 2 stars 0 forks Updated 2 months ago MIT

Install

Plugins install via a marketplace, in two steps.

This plugin isn't listed in a marketplace we've indexed. Install it directly from its GitHub repository — the README has the setup steps.

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Bundles

Everything this plugin ships — skills, agents, commands, hooks, and MCP servers it bundles.

Agents (11)

ai-engineer.md data-analyst.md data-engineer.md data-scientist.md dl-engineer.md ml-engineer.md ml-ops.md ml-researcher.md ml-reviewer.md ml-tutor.md ml-workbench.md

Hooks (2)

hooks.json scripts

Quality Score: 69/100

Stars 20%

Recency 20%

Manifest 20%

100

Documentation 15%

Issue Health 10%

License 10%

100

Description 5%

100

Details

Author: damionrashford
Repository: damionrashford/mlx
Created: 3 months ago
Last Updated: 2 months ago
Language: Jupyter Notebook
License: MIT