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modules/period-comparison/.codex-plugin/plugin.json

2.17 KB · Oct 3, 2026 · 06:30 UTC

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{
  "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"
  }
}

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