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logo-generator-skill

A Claude Code Skill that generates geometric SVG logos from a brand name and concept, then uses Gemini Flash Image to produce 12 professional background exhibition images. Outputs 6+ design variants plus an interactive HTML showcase in one run. 689 stars, MIT licensed.

Best For

Anyone who needs brand logo visuals quickly, without hiring a designer or opening Illustrator. Specifically:

  • Independent developers and small teams who need app icons, project logos, or report cover marks
  • Content creators who need consistent visual identity for article series or tool reviews
  • Anyone running multiple side projects simultaneously who needs to establish visual identity for each quickly

If you need a refined brand design system with multi-color variants, licensing documentation, and design specifications, this skill's output is a starting point, not a finished deliverable. If you need "a logo today," this is the fastest path currently available in the Claude Code ecosystem.

How I Actually Use It

AI logo generation has three common problems: outputs that look "tech-generic" with no distinctive identity, formats that break on different backgrounds, and single-option delivery with no room for selection.

logo-generator-skill addresses all three. Brand name + industry + core concept input produces:

  • The SVG body is a geometric vector with viewBox fixed at 100x100, currentColor support (works on dark and light backgrounds), and a design rationale explaining each geometric choice.
  • 12 exhibition images: void (deep space), frosted (glass), fluid, LED matrix, Swiss flat, and more, rendered via Gemini Flash Image in SVG + PNG dual format.
  • An interactive HTML showcase with hover effects and transitions, ready to share with clients or paste into proposals.

6+ design variants are generated simultaneously, giving you selection, not a single take-it-or-leave-it result.

The Nano Banana exhibition image generation requires a GEMINI_API_KEY. Google AI Studio has a free tier, but you need to set it up beforehand.

image

Where It Is Strong

  • SVG vector output: Infinitely scalable, usable at any resolution and size. Production-ready.
  • One logo previewed across 12 visual contexts at once, which cuts design communication time significantly.
  • Every geometric choice is annotated with design intent, so the output is not a black box.
  • Interactive HTML showcase is presentation-ready without opening Figma.
  • 6+ variants generated in parallel give you actual selection space.

Where It Fails

  • Exhibition image generation requires GEMINI_API_KEY; without it you only get the SVG body.
  • This generates vector geometric marks, not lettermarks, badge logos, or illustrated styles. If you need a typeface-based wordmark, look elsewhere.
  • Distinctiveness depends on prompt specificity: Concrete brand concepts produce distinctive logos; "I need a logo for a tech company" produces generic output.

Pricing, Difficulty, and Risk

The skill is free and MIT licensed. Intermediate difficulty — SVG generation requires only the Claude Code Skill with no additional setup; Nano Banana exhibition images require a Gemini API Key (Google AI Studio free tier is available). No significant security risk; API costs within the free tier are effectively zero.

Verdict

The most complete vector logo generation tool currently available in the Claude Code ecosystem. SVG + 12 exhibition backgrounds + interactive HTML showcase means "I need a logo today" is a ten-minute task, not a blocker.

Getting the Gemini API Key configured is the only preparation step. After that, you go from zero to usable brand assets in ten minutes.

Source