{"slug":"matlab-matlab-prepare-signal-data","source_name":"matlab/matlab-prepare-signal-data","name":"Matlab/Matlab Prepare Signal Data","description":"Use this skill when conditioning, loading, preparing, or labeling signal\ndata for analysis or ML training. Covers: cleaning a single signal (fill\ngaps, remove drift, deoutlier, denoise, resample/align a time base) BEFORE\nanalysis; building a `signalDatastore` pipeline; creating a `labeledSignalSet`\nfor Signal Labeler; deriving labels (filename, folder, in-file, ROI,\ntime-frequency ROI); stratified train/val/test splits; framing long signals;\nparallel processing; and shaping datastore output for ","version":1,"lift":{"pass_rate_delta_pts":27.27,"pass_rate_pct":95.5,"total_cases":22,"passed_cases":21,"tokens_delta_pct":68.8,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-16T18:03:25.045119+00:00"},"skill_score":null,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":27.27,"with_pass_pct":95.5,"without_pass_pct":68.2,"tokens_delta_pct":68.8,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":22,"verdict":"mixed","never_hurt":true,"completed_at":"2026-08-16T18:03:25.045119+00:00","run_id":"71949f53-4a31-458f-88d4-19178109929b","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":"https://www.mathworks.com/content/dam/mathworks/license/pmrl/license.md","install_count":0,"manifest_hash":"82e2f6cd3e692d4e7af2770162cb946145cc3ce145d1f5f8029e5ad095904b31","raw_url":"https://app.decimal.ai/s/matlab-matlab-prepare-signal-data/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/matlab-matlab-prepare-signal-data"}