An AI-powered vector graphics engine for generating SVG assets from text prompts or converting raster images to clean vector paths.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install quiver-ai-skill
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 quiver-ai-skill 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 SVG Generation?
QuiverAI is a high-performance tool integrated into the Openclaw Skills ecosystem that empowers developers to create and manipulate vector graphics using natural language. It provides a bridge between descriptive prompts and production-ready SVG files, as well as a powerful vectorization engine to convert raster formats like PNG and JPG into clean, scalable code. By utilizing QuiverAI within Openclaw Skills, teams can automate the repetitive tasks of icon design and logo vectorization, ensuring consistent quality and rapid iteration in the frontend development lifecycle.
This skill provides direct access to advanced AI models specifically trained for vector generation, such as arrow-preview. Unlike standard image generation tools, QuiverAI produces genuine XML-based SVG code, making the assets immediately editable and perfectly responsive for web and mobile applications.
QuiverAI SVG Generation Use Cases
- Rapidly generating custom UI icons and flat-design illustrations using text-to-SVG prompts.
- Converting low-resolution raster logos and images into high-quality, scalable SVG vectors.
- Iterating on design concepts by generating multiple SVG variants from a single prompt.
- Streamlining the asset pipeline within automated development workflows using Openclaw Skills.
How QuiverAI SVG Generation Works
- The agent captures the user's request, determining if the task is SVG generation or image vectorization.
- The system verifies the working directory and prepares the necessary quiver CLI parameters.
- The skill executes the generate or vectorize command, applying specific creativity levels via temperature settings.
- QuiverAI's models process the input and stream the SVG data directly to a local file.
- The agent validates the output file existence and provides the user with metadata, including file path and size.
QuiverAI SVG Generation Setup
To integrate this capability into your Openclaw Skills environment, install the CLI globally using npm:
npm install -g quiver-ai-cli
Once installed, set your API key to enable access to the QuiverAI models:
quiver config set api_key <your-key>
QuiverAI SVG Generation Data Schema & Taxonomy
The skill primarily produces SVG artifacts and manages local configuration settings. The following table describes the data organization:
| Component | Type | Description |
|---|---|---|
| Output Vector | .svg | The primary asset generated; contains XML-based vector data. |
| Configuration | Local Storage | Stores the API key and default model settings for the CLI tool. |
| Model Registry | CLI Output | Lists available AI models and their specific technical capabilities. |
| Variant Naming | String Pattern | When generating multiple versions, files use sequential indexing (e.g., asset-1.svg, asset-2.svg). |
QuiverAI SVG Generation Advanced Features
- Support for reference-based generation where existing images guide the style of new SVG creations.
- Creative control through temperature adjustments to balance between design consistency and artistic variety.
- Automated image preprocessing with auto-crop features to optimize vectorization results for complex subjects.
- Seamless integration with Openclaw Skills for multi-agent automation and programmatic asset management.
SKILL.md
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