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SkillsMP has collected 2 skills from tcapelle/wandb-driven-dev. Open a skill to review its source and details.
Showing 2 of 2 collected skills.
Enforce a systematic, reproducible approach to empirical questions — hypothesis first, baseline + variant, smoke before full, wandb as source of truth. Use whenever the user asks 'does X work?', 'is A better than B?', 'what's the best N?', or says…
Use this skill for querying and analyzing Weights & Biases projects through the W&B SDK and the local `wandb_helpers.py` query helpers. Covers run discovery, filtered run-table queries, selected summary metrics, config comparisons, exact run counts,…