# CatGenix

> CatGenix — ramiz1323-catgenix. Use this tool when you need to generate high-quality cat images using AI-powered technology, solving problems such as creating unique digital content or enhancing visual media with realistic feline images. It takes text prompts as input and produces generated cat images as output, leveraging a scalable full-stack architecture. Ideal for use cases requiring prompt-driven image generation, such as digital art, social media, or advertising applications.

Canonical page: https://skillsregistry.net/skills/ramiz1323-catgenix  
JSON: https://api.skillsregistry.net/v1/skills/ramiz1323-catgenix

## Description

AI-powered cat image generation platform built with React, TypeScript, Express.js, and MCP, featuring prompt-driven generation and a scalable full-stack architecture designed for modern AI workflows.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Ramiz1323/CatGenix)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ramiz1323-catgenix"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ramiz1323-catgenix` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ramiz1323-catgenix/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt