Topaz API Skill for RunAPI

Install this agent skill, inspect Topaz fields, then run jobs through the RunAPI CLI.

Model Reference · CLI · SDK

Upscale images and video with Topaz AI-powered enhancement. This skill helps Claude Code, Codex, Gemini CLI, Cursor, and 50+ agents integrate Topaz through RunAPI.

The canonical agent file is skills/topaz/SKILL.md.

Install

npx skills add runapi-ai/topaz -g

Or paste this prompt to your AI agent:

Install the topaz skill for me:

1. Clone https://github.com/runapi-ai/topaz
2. Copy the skills/topaz/ directory into your
   user-level skills directory (e.g. ~/.claude/skills/
   for Claude Code, ~/.codex/skills/ for Codex).
3. Verify that SKILL.md is present.
4. Confirm the install path when done.

Quick example

import { TopazClient } from '@runapi.ai/topaz';

const client = new TopazClient();
const result = await client.upscaleImage.run({
  model: 'topaz-image-upscale',
  image_url: 'https://cdn.example.com/photo.jpg',
});

Routing

• Model page: https://runapi.ai/models/topaz
• Product docs: https://runapi.ai/docs#topaz
• SDK docs: https://runapi.ai/docs#sdk-topaz
• SDK repository: https://github.com/runapi-ai/topaz-sdk
• Pricing and rate limits: https://runapi.ai/models/topaz/image-upscale
• Provider comparison: https://runapi.ai/providers/topaz
• Browse all RunAPI models and skills: https://runapi.ai/models

Variants

• Image upscale
• Video upscale

Agent rules

• Keep API keys in RUNAPI_API_KEY or RunAPI CLI config; never commit secrets.
• Prefer create, get, and run JSON passthrough patterns instead of inventing flags for every model parameter.
• For topaz api pricing, rate-limit, and commercial-usage answers, link to the variant page rather than the repository README.

License

Licensed under the Apache License, Version 2.0.