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modules/period-comparison/.codex-plugin/plugin.json
2.17 KB · Oct 4, 2026 · 12:28 UTC
{
"name": "period-comparison",
"version": "0.1.72",
"description": "Period-comparison chart-family workflow with exports, source packs and Codex interpretation.",
"author": {
"name": "Mparanza",
"email": "fabio@mparanza.com",
"url": "https://mparanza.com"
},
"homepage": "https://mparanza.com/static/shared/clara/index.html",
"repository": "https://github.com/fabioannovazzi/app_files",
"license": "AGPL-3.0-only",
"keywords": [
"period comparison",
"year-over-year",
"charts",
"sales"
],
"skills": "./skills/",
"interface": {
"displayName": "Period-over-Period Analysis",
"shortDescription": "Run previous-year comparison charts with reviewable source data.",
"longDescription": "Self-contained period-comparison workflow for CSV or Excel sales datasets. It inspects date, metric and dimension mappings, asks only unresolved material choices, prepares actual-versus-previous-year data through the original preparation pipeline, renders year-over-year column, line, by-period, slope, dot/dumbbell and bridge charts through the original chart functions, adds compact scenario/variance tables, adds small multiples when a useful dimension exists, generates audit and source-pack files, and creates a Word report for Codex interpretation. The scripts do not make direct model API calls.",
"developerName": "Fabio",
"category": "Productivity",
"websiteURL": "https://mparanza.com",
"privacyPolicyURL": "https://mparanza.com/privacy",
"termsOfServiceURL": "https://mparanza.com/terms",
"capabilities": [
"Interactive",
"Write",
"Analysis"
],
"defaultPrompt": [
"Use Period Comparison on the sales CSV or Excel file I provide.",
"Inspect the columns, ask only for required mappings that cannot be inferred, run the complete period-comparison chart package including year-over-year column, line, by-period, slope/dot, waterfall, compact scenario/variance tables, small multiples where applicable, audit, source pack and Word report, then interpret the largest movements from the source data."
],
"brandColor": "#4f6f52",
"composerIcon": "./assets/icon.svg",
"logo": "./assets/icon.svg"
}
}
SHA-256: e06c193d16cee3d95c1a30876b263f9b9cd31c119aab95abcbfc1150d220cd58