ML Experiment Skill

Description

Design, implement, and evaluate machine learning experiments with reproducible workflows, proper baselines, and statistical analysis.

Tools Used

• jupyter_execute - Execute ML code in Python (auto-switches to Jupyter)
• jupyter_notebook - Manage experiment notebooks
• update_notebook - Set up experiment cells
• update_latex - Write experiment results to papers
• latex_compile - Compile CS conference papers (auto-switches to LaTeX)
• arxiv_to_prompt - Read related work from arXiv papers
• update_notes - Write experiment logs and analysis summaries

Capabilities