Explore Run
lllllllama/rigorpilot-skillsExploratory runs help researchers test new ideas quickly in deep learning. This skill plans and guides those experiments. It works when you want to check a small subset of data or run a short training probe. You can also do batch sweeps or quick transfer-learning trials.
All results go into a special folder labeled explore_outputs. The skill marks them as bounded evidence and explains when a comparison is not perfectly fair. It keeps experiment data separate from your trusted baseline work.
Researchers use it to rank candidate runs before picking the best ones. It uses factors like cost, success rate, and expected gain. The skill stays conservative unless you give it custom weights.
Add Explore Run skill to your workflow
Global
mkdir -p ~/.claude/skills/explore-runProject
mkdir -p .claude/skills/explore-runSource Repository
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