ml-optimizer
Installation
Add the marketplace
/plugin marketplace add ChuaHanChong/ml-optimizerInstall plugins
/pluginRun these commands in Claude Code to add this plugin to your environment. The marketplace must be added before you can install its plugins.
Plugins
ml-optimizer
A self-referential and self-improving hyperagent for autonomous ML model optimization. Dispatches specialized agents for research, hyperparameter tuning, and experiment running. Monitors training for divergence and records findings in structured format.
Skills
orchestrate
A self-referential and self-improving hyperagent for autonomous ML model optimization. Dispatches specialized agents for research, hyperparameter tuning, and experiment running. Monitors training for divergence and records findings in structured format.
baseline
A self-referential and self-improving hyperagent for autonomous ML model optimization. Dispatches specialized agents for research, hyperparameter tuning, and experiment running. Monitors training for divergence and records findings in structured format.
prerequisites
A self-referential and self-improving hyperagent for autonomous ML model optimization. Dispatches specialized agents for research, hyperparameter tuning, and experiment running. Monitors training for divergence and records findings in structured format.
research
A self-referential and self-improving hyperagent for autonomous ML model optimization. Dispatches specialized agents for research, hyperparameter tuning, and experiment running. Monitors training for divergence and records findings in structured format.
implement
A self-referential and self-improving hyperagent for autonomous ML model optimization. Dispatches specialized agents for research, hyperparameter tuning, and experiment running. Monitors training for divergence and records findings in structured format.
hp-tune
A self-referential and self-improving hyperagent for autonomous ML model optimization. Dispatches specialized agents for research, hyperparameter tuning, and experiment running. Monitors training for divergence and records findings in structured format.
experiment
A self-referential and self-improving hyperagent for autonomous ML model optimization. Dispatches specialized agents for research, hyperparameter tuning, and experiment running. Monitors training for divergence and records findings in structured format.
monitor
A self-referential and self-improving hyperagent for autonomous ML model optimization. Dispatches specialized agents for research, hyperparameter tuning, and experiment running. Monitors training for divergence and records findings in structured format.
analyze
A self-referential and self-improving hyperagent for autonomous ML model optimization. Dispatches specialized agents for research, hyperparameter tuning, and experiment running. Monitors training for divergence and records findings in structured format.
report
A self-referential and self-improving hyperagent for autonomous ML model optimization. Dispatches specialized agents for research, hyperparameter tuning, and experiment running. Monitors training for divergence and records findings in structured format.
evolve
A self-referential and self-improving hyperagent for autonomous ML model optimization. Dispatches specialized agents for research, hyperparameter tuning, and experiment running. Monitors training for divergence and records findings in structured format.
hyperagent
A self-referential and self-improving hyperagent for autonomous ML model optimization. Dispatches specialized agents for research, hyperparameter tuning, and experiment running. Monitors training for divergence and records findings in structured format.