Skill UI

Automates the end-to-end training of machine learning models by analyzing datasets, selecting suitable algorithms, tuning parameters, performing cross-validated training, and emitting performance metrics plus a saved model artifact.

Guides Claude to automatically tune machine learning model hyperparameters via grid, random, or Bayesian search, generating runnable Python code, executing validations, and reporting best configurations plus performance metrics for accuracy or other goals.

TwinMind Cost Tuning analyzes Free, Pro, and Enterprise usage, models pricing tiers, monitors budgets, optimizes tokens, and enforces quotas so teams can reduce spending and pick the right plan.

Guide to optimizing TwinMind transcription, balancing accuracy and speed through audio preprocessing, scenario-specific model configs, streaming tweaks, and caching to cut redundant work.

Fine-tune and serve Physical Intelligence OpenPI pi0 family models with JAX or PyTorch backends for robot manipulation across ALOHA, DROID, and LIBERO; includes workspace setup, checkpoint conversion, norm stat prep, and WebSocket policy inference for debugging and deployment.