jkremser/kedify

{
  "$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
  "name": "kedify",
  "version": "0.1.0",
  "description": "Retrieve Kubernetes CPU and memory recommendations through Kedify MCP or local kedr, apply selected changes through GitOps pull requests or kubectl, and inspect organizations, clusters, agents, savings, and autoscaling through Kedify's Auth0-protected MCP server at https://mcp.kedify.io/mcp.",
  "author": {
    "name": "Kedify",
    "url": "https://kedify.io"
  },
  "homepage": "https://kedify.io",
  "repository": "https://github.com/jkremser/skills",
  "keywords": ["kubernetes", "resource-optimization", "gitops", "kedr", "mcp"],
  "extensions": {
    "com.openai": {
      "interface": {
        "displayName": "Kedify",
        "shortDescription": "Kubernetes resource tuning",
        "longDescription": "Retrieve CPU and memory recommendations through Kedify MCP or local kedr, review the proposed changes, and apply selected recommendations through GitOps pull requests or kubectl. Inspect Kedify organizations, clusters, agents, savings, and autoscaling diagnostics. MCP recommendations require a running Kedify agent with namespace metrics collection and sufficient history. Local kedr and kubectl workflows require direct cluster access.",
        "developerName": "Kedify",
        "category": "Developer Tools",
        "capabilities": ["Read", "Write"],
        "websiteURL": "https://kedify.io",
        "defaultPrompt": [
          "Get CPU and memory recommendations for my Kubernetes workloads.",
          "Prepare a GitOps pull request for the recommendations I select.",
          "Apply selected resource recommendations directly with kubectl."
        ],
        "brandColor": "#5B42FF",
        "composerIcon": "./assets/kedify.png",
        "logo": "./assets/kedify.png"
      }
    }
  }
}