ASK-01Step 1 of 3v1.0.0 · release candidate

KPI Normalizer

Turns each platform’s raw CSV export into one agreed schema — and keeps the file and row every value came from, so the rest of the report starts from a table your team can check.

Input
Raw KPI exports (.csv) + column map
Output
kpi_normalized.csv + qa_log.json
Tested on
Local scripts · model review pending
Network
None required

What’s inside the package

SKILL.mdThe skill’s instructions, inputs and guardrails, in the open Agent Skills format
scripts/normalize.pyMaps, validates and writes the normalized table and the QA log
schema/kpi_schema_v1.csv · column_map.jsonPack schema v1 and a starter column map — edit it to match your exports
examples/A sample export, approved notes and the output they produce
tests/The local contract tests, ready to re-run
INSTALL.md · ROLLBACK.md · LICENSE.txtSetup and local verification, how to return to an earlier version, and your license
Try the bundled example first

Use the KPI Normalizer skill on examples/sample.csv, then compare the result with examples/expected_normalized.csv and list any differences.

$149Pack · or $59 this skillChoose & buy