laxmi-narayan-87/ml-engineering-suite

{
  "$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
  "author": {
    "email": "vjfiuy@gmail.com",
    "name": "juu"
  },
  "description": "A unified machine-learning engineering toolkit spanning dataset quality, model development, hyperparameter optimization, MLOps pipelines, deployment, monitoring, and rollback.",
  "extensions": {
    "com.openai": {
      "interface": {
        "capabilities": [],
        "category": "Data & Analytics",
        "defaultPrompt": "Help me take this machine-learning task from data quality and model development through evaluation, reproducible pipelines, safe deployment, and monitoring. State assumptions, prevent leakage, and never invent metrics or claim unverified execution.",
        "developerName": "juu",
        "displayName": "ML Engineering Suite",
        "longDescription": "One unified toolkit for reliable machine-learning work: audit datasets and labels, develop and evaluate models, tune hyperparameters, design reproducible ML pipelines, deploy safely, and monitor production behavior with explicit rollout and rollback criteria.",
        "shortDescription": "End-to-end ML workflows"
      }
    }
  },
  "keywords": [
    "machine-learning",
    "ml",
    "data-science",
    "model-development",
    "data-quality",
    "hyperparameter-optimization",
    "mlops",
    "deployment",
    "reproducibility"
  ],
  "name": "ml-engineering-suite",
  "repository": "https://github.com/aiskillstore/marketplace",
  "version": "0.1.0"
}