Generate pixel-art SVG illustrations from textual prompts.
npx skills add https://github.com/xqinag/ARIS-new --skill pixel-art-xqinag
Please help me install this Agent Skill. Skill: pixel-art Source: https://github.com/xqinag/ARIS-new/tree/main/skills/pixel-art Command: npx skills add https://github.com/xqinag/ARIS-new --skill pixel-art-xqinag
Automates the creation of crisp, scalable pixel-art SVG illustrations from simple prompts, saving time designing visuals for READMEs, docs, or slides.
Describe the scene you want and I will generate a pixel-art SVG illustration.
High-intent search queries and answers about installing and using this skill.
You generate pixel art SVG illustrations by providing a textual description of the desired scene. The output is a standards-compliant SVG built on a 7px grid with a 3-5 color palette, suitable for README heroes and slides.
Generated SVG illustrations work well for slide decks and tutorials because they are compact and scalable. The output uses viewBox-tight bounds and reusable character templates, ensuring the vector art remains crisp at any size.
The best way to create scalable pixel art for a README hero is using a fixed 7px grid structure with a 3-5 color palette. This approach produces grouped <g> elements that keep the artwork cohesive and easy to edit.
The SVG generator supports a simple 3-5 color palette to keep artwork cohesive. This limitation ensures your documentation visuals maintain a consistent retro pixel-art aesthetic without overwhelming the design.
You edit and reuse character templates because the SVG generator outputs standards-compliant SVG with grouped <g> elements. This structure allows you to directly manipulate individual template components within your preferred vector graphics editor.
Available layouts for pixel art scenes include chat bubbles, single-character portraits, and group scenes. These templates are implemented as grouped elements with viewBox-tight bounds to streamline your documentation visual creation.
loujcGenerates scalable pixel-art SVG illustrations from natural language scene descriptions.
jandan138Generate pixel art SVG illustrations from user prompts.
zzafergokConvert Markdown documents to HTML using marked.js, pandoc, gomarkdown, or static site generators.
obulaiGenerate SVGs from text prompts and vectorize raster images using AI.
