AI Image to Vector Redesign
Finish flattened GPT Image 2 design outputs by rebuilding text and layout into sharp, editable SVG/PDF/high-resolution PNG deliverables. Use for AI-generated posters, long images, infographics, flyers, social cards, and marketing graphics when upscaling or tracing would not fix blurry text or layout artifacts.
Install
npx skills add hxr223/ai-image-to-vector-redesign --skill ai-image-to-vector-redesigngit clone --depth 1 https://github.com/hxr223/ai-image-to-vector-redesign.git /tmp/ai-image-to-vector-redesign
mkdir -p ~/.claude/skills
cp -r /tmp/ai-image-to-vector-redesign/. ~/.claude/skills/ai-image-to-vector-redesignPersonal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.
From the SKILL.md
# AI Image To Vector Redesign Use this skill when the user wants a GPT Image 2 output or similar AI-generated design made clearer, editable, scalable, or suitable for real publishing. This is a design reconstruction workflow, not a generic vectorizer. Treat the source image as a visual reference for a new maintainable artwork source. ## Core Promise GPT Image 2 can produce beautiful flattened concepts. This skill turns those concepts into publish-ready deliverables by rebuilding the parts that need to be crisp and editable: - Retype important text as real text or clean outlines. - Redraw layout elements as vector shapes. - Preserve complex image regions as embedded raster assets when vector tracing would degrade them. - Export practical files for publishing, sharing, review, and future edits. ## First Inspection Before rebuilding, inspect the source image and name the delivery risks that matter: - Flattened or blurry text, fake glyphs, malformed small copy, or uncertain numbers. - Cards, borders, badges, icons, charts, and separators that are visually present but not editable. - Photos, product renders, painterly backgrounds, or complex illustrations that should remain raster. - Extra white borders, cropping issues, poor aspect ratio, or low-resolution output. - The likely publishing channel: chat app, WeChat, Enterprise WeChat, Xiaohongshu, social feed, client PDF, print, or archive.
Details
- Skill name
ai-image-to-vector-redesign- Repository
- hxr223/ai-image-to-vector-redesign
- License
- MIT
- Repo updated
- 26 August 2026
FAQ
What does the AI Image to Vector Redesign skill do?
Finish flattened GPT Image 2 design outputs by rebuilding text and layout into sharp, editable SVG/PDF/high-resolution PNG deliverables. Use for AI-generated posters, long images, infographics, flyers, social cards, and marketing graphics when upscaling or tracing would not fix blurry text or layout artifacts.
How do I install the AI Image to Vector Redesign skill?
skills CLI (Claude Code, Cursor, Codex and more): npx skills add hxr223/ai-image-to-vector-redesign --skill ai-image-to-vector-redesign. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.
Is AI Image to Vector Redesign popular?
It lives in hxr223/ai-image-to-vector-redesign, which has 5 GitHub stars and 0 forks.
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