laxmi-narayan-87/ml-data-quality-labeling

{
  "$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
  "author": {
    "email": "vjfiuy@gmail.com",
    "name": "juu"
  },
  "description": "Improve labeled dataset reliability through quality checks, annotation guidelines, representative sampling, disagreement review, and leakage-safe dataset versioning.",
  "extensions": {
    "com.openai": {
      "interface": {
        "capabilities": [],
        "category": "Data & Analytics",
        "defaultPrompt": "Help me audit a dataset and build a reliable labeling and data-quality workflow for ML.",
        "developerName": "juu",
        "displayName": "ML Data Quality & Labeling",
        "longDescription": "Improve labeled dataset reliability through quality checks, annotation guidelines, representative sampling, disagreement review, and leakage-safe dataset versioning.",
        "shortDescription": "Improve ML data quality"
      }
    }
  },
  "keywords": [
    "machine-learning",
    "ml",
    "data-science",
    "ai",
    "workflow"
  ],
  "name": "ml-data-quality-labeling",
  "repository": "https://github.com/aiskillstore/marketplace",
  "version": "0.1.0"
}