QuiverAI is an AI-powered vector graphics engine that generates and vectorizes SVGs from text prompts or raster images.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install quiverai
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install quiverai using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is QuiverAI?
QuiverAI provides a sophisticated API and SDK for creating high-quality, production-ready vector graphics. Using the Arrow model, it allows developers to transform text descriptions into minimalist logos, icons, and illustrations. Beyond simple generation, it excels at vectorizing existing raster images like PNGs or JPEGs into scalable SVG formats.
This skill is an essential addition to any Openclaw Skills collection for automated design workflows. By leveraging the arrow-preview model, users can bypass traditional manual tracing and complex design software, obtaining clean SVG markup directly through API calls or automated agent interactions.
QuiverAI Use Cases
- Generating unique logos or icons directly from natural language prompts.
- Converting low-resolution raster images (PNG, JPEG, WebP) into scalable vector graphics.
- Automating the creation of illustrative assets for web and mobile applications.
- Providing consistent visual styles across multiple vector outputs using reference images.
How QuiverAI Works
- The user provides a text prompt or a reference raster image to the Openclaw Skills interface.
- The skill authenticates with the QuiverAI API using the required QUIVERAI_API_KEY.
- The system sends a request to the arrow-preview model via the generation or vectorization endpoint.
- QuiverAI processes the request, optionally applying style instructions or auto-cropping functionality.
- The skill receives the raw SVG markup and usage metadata from the API response.
- The generated SVG is returned to the user or saved as a file for immediate implementation in development projects.
QuiverAI Setup
To use this skill within the Openclaw Skills framework, you must first obtain an API key.
- Create an account at https://quiver.ai/start.
- Generate an API key in your account settings.
- Set the environment variable:
export QUIVERAI_API_KEY='your_api_key_here'
- For Node.js environments, you can optionally install the SDK:
npm install @quiverai/sdk
QuiverAI Data Schema & Taxonomy
The skill interacts with JSON-based request and response schemas. The generated outputs are standard SVG files compatible with all modern browsers.
| Property | Type | Description |
|---|---|---|
| id | string | Unique response identifier for the generation request |
| data.svg | string | The raw SVG markup code |
| usage | object | Token consumption details including input and output tokens |
| mime_type | string | The format of the output, typically image/svg+xml |
QuiverAI Advanced Features
- Multi-image references (up to 4) to guide the AI aesthetic and ensure brand consistency.
- Auto-crop functionality to isolate dominant subjects before the vectorization process.
- Adjustable temperature settings to control the balance between deterministic output and creative variation.
- Server-Sent Events (SSE) streaming support for real-time reasoning and draft updates.
- Square resize targets ranging from 128px to 4096px for optimized pre-inference processing.
SKILL.md
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