Results for “name-analysis”

Turn "what's happening with this account?" into a structured read straight from your CRM. A real-activity audit across every source, a qualification-vs-stage gap check, a one-screen account summary, and a risk verdict on the deal. Built for any sales team, customizable to your CRM and your sales process. Trigger on "analyze this account", "what's happening with this deal", "is this opp healthy", "what's stuck in my pipeline", "deal autopsy on this closed-lost", "where am I missing qualification coverage", "prep me for this account", or any account, opp, or pipeline diagnostic.

Use this skill when conditioning, loading, preparing, or labeling signal data for analysis or ML training. Covers: cleaning a single signal (fill gaps, remove drift, deoutlier, denoise, resample/align a time base) BEFORE analysis; building a `signalDatastore` pipeline; creating a `labeledSignalSet` for Signal Labeler; deriving labels (filename, folder, in-file, ROI, time-frequency ROI); stratified train/val/test splits; framing long signals; parallel processing; and shaping datastore output for `trainnet`. Triggers include "clean up this signal", "remove drift / detrend", "fill gaps", "remove spikes / outliers", "denoise", "resample to a uniform rate", "align channels", "labels from filenames", "stratified split", "prepare for Signal Labeler", and function names like `fillgaps`, `fillmissing`, `detrend`, `filloutliers`, `smoothdata`, `resample`, `synchronize`, `signalDatastore`, `labeledSignalSet`, `filenames2labels`, `folders2labels`, `splitlabels`, `framesig`, `framelbl`, `createDatastores`.