claude

kvantum-data-prep

Kvantum Element X pre-load prep: raw client extracts plus template in, validated load-ready file and an input-review dashboard out.

0 on GitHubby Kaizen Analytix LLCv0.7.0updated 1 month agotechnical-delivery
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Plugin kvantum-data-prep from marketplace kaizen-plugins in kaizenanalytix/kaizen-claude-plugins. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (6)

  • channel-intake

    Read a raw client data file into a canonical weekly long frame ready for Element X preparation. Use for a raw Kvantum/Element X extract - media or Spark files, Abbott BPM cross-tabs, HCP calls/cases/samples/coupon files - that needs filtering to a period and channel, unpivoting, or converting from m

  • elementx-template-fill

    Populate a Kvantum Element X upload template from a prepared load and append it to the historical consolidated file. Use when data needs putting into the portal's template format, mapping to template columns, appending to a previous quarter's file, or checking against a hand-built reference. Trigger

  • input-review-dashboard

    Build the client-facing input review dashboard for a Kvantum load - an interactive HTML page showing the validation gate, weekly flighting, a channel-by-week coverage grid, dimension value drift and the questions to put back to the client. Replaces the manual Excel input summary. Trigger on "build t

  • kvantum-prep

    Prepare a Kvantum Element X load and the data review that goes with it - raw extract(s) plus the maintained template in, load-ready file out, plus ONE document covering every channel — the input summary in the client's own layout, the exploratory analysis, and the load rules. Self-contained HTML and

  • load-validation

    Run the rule-based validation gate over a prepared load before it goes into the Kvantum Element X portal, and report a BLOCK/WARN verdict with named rule IDs. Covers blank weeks, duplicates, outliers, unclassified buckets, negative or incoherent metrics, quarter-on-quarter step changes, breakdowns t

  • value-reconciliation

    Reconcile a new load's dimension values against those used in previous loads, so the model does not split one driver in two because a label was respelled. Use when preparing Element X data and matching to history, consistency across quarters, spelling or case drift, new campaign or channel names, or

View source on GitHub

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