{"slug":"k-dense-ai-experimental-design","source_name":"k-dense-ai/experimental-design","name":"K Dense AI/Experimental Design","description":"Design experiments and studies BEFORE data is collected — choosing a design, randomizing, blocking, and laying out treatment combinations so results are interpretable. Use whenever someone is planning a study, asks how to assign subjects/samples to groups, mentions randomization, blocking, stratification, controls, factorial or fractional-factorial designs, design of experiments (DOE), screening many factors, response-surface optimization, crossover or repeated-measures or split-plot designs, cl","version":1,"lift":{"pass_rate_delta_pts":8.7,"pass_rate_pct":87,"total_cases":23,"passed_cases":20,"tokens_delta_pct":133.7,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-09T04:09:00.973920+00:00"},"skill_score":null,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":8.7,"with_pass_pct":87,"without_pass_pct":78.3,"tokens_delta_pct":133.7,"turns_delta_pct":0,"total_cases":23,"cases_aggregated":23,"verdict":"mixed","never_hurt":true,"completed_at":"2026-08-09T04:09:00.973920+00:00","run_id":"d809394a-623f-40d9-9d0b-035ab3b515d4","version_number":1,"is_latest_version":true,"gate":null}],"trust":{"skill_safety":"passed","safety_status":"clean","intent_verdict":"safe","content_status":"clean","indexable":true},"license":"MIT license","install_count":0,"manifest_hash":"58772eb0c05c6046fa36cb232742cc713dbf3ef370c872203cd2e1cf2d57c509","raw_url":"https://app.decimal.ai/s/k-dense-ai-experimental-design/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/k-dense-ai-experimental-design"}