modules/funnel-analysis/.codex-plugin/plugin.json

{
  "name": "funnel-analysis",
  "version": "0.1.12",
  "description": "Deterministic funnel-stage reporting table workflow.",
  "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": [
    "funnel",
    "stage gate",
    "conversion",
    "reporting table",
    "deterministic"
  ],
  "skills": "./skills/",
  "interface": {
    "displayName": "Funnel Analysis",
    "shortDescription": "Build deterministic funnel-stage reporting tables from CSV files.",
    "longDescription": "Self-contained funnel-stage workflow for CSV datasets. It takes explicit ordered stage definitions, validates stage predicate columns, evaluates each gate sequentially, and writes a compact reporting table with starting population, passing population, drop-off, stage conversion, cumulative conversion, source CSV, context JSON, and artifact manifest. 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 Funnel Analysis on the CSV file I provide.",
      "Confirm or build explicit ordered stage definitions, run the deterministic funnel-stage table package, write the table, context data and artifact manifest, then interpret the largest drop-offs from the source data."
    ],
    "brandColor": "#4c6759",
    "composerIcon": "./assets/icon.svg",
    "logo": "./assets/icon.svg"
  }
}