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logo-generator

op7418/logo-generator-skill

Generate professional SVG logos and showcase images with multiple design variants and background styles.

What is logo-generator?

Create custom SVG logos and brand icons with AI-assisted design concepts, then present them in professional showcase images with 12 background styles. Use this when you need to design logos, iterate on concepts, or create polished brand presentations.

  • Generate 6+ distinct SVG logo variants based on product information and design preferences
  • Create interactive HTML showcase pages displaying all logo options with design rationale
  • Export logos to PNG format for presentation and further use
  • Generate high-end showcase images using Gemini with 12 professional background styles (dark and light)
  • Support geometric patterns, dot matrices, line systems, and mixed compositions
  • Iterate and refine designs based on user feedback with targeted adjustments

How to install logo-generator

npx skills add https://github.com/op7418/logo-generator-skill --skill logo-generator
Prerequisites
  • Python 3.8 or higher
  • Gemini API key (for showcase image generation)
  • cairosvg library for SVG-to-PNG conversion
Claude Code
Cursor
Windsurf
Cline

How to use logo-generator

  1. 1.Answer questions about your product/brand name, industry, core concept, and design preferences
  2. 2.Review the 6+ generated SVG logo variants displayed in an interactive showcase page
  3. 3.Select your favorite variants and provide feedback on style, colors, or specific adjustments
  4. 4.Request refinements or additional variants exploring specific design directions
  5. 5.Once satisfied, generate high-end showcase images with professional backgrounds
  6. 6.Download the final assets: SVG files, PNG exports, and presentation webpage

Use cases

Good for
  • Create a logo and brand identity system for a new product or startup
  • Generate multiple logo design concepts to present to stakeholders or clients
  • Develop showcase presentations with professional backgrounds for portfolio or pitch materials
  • Explore different visual styles (minimal vs. complex, geometric vs. organic) for brand direction
  • Export logo assets in multiple formats for web, print, and marketing use
Who it's for
  • Product designers and brand identity specialists
  • Startup founders and entrepreneurs launching new products
  • Marketing and creative teams developing brand materials
  • Design agencies presenting logo concepts to clients
  • Solo creators and indie developers needing professional branding

logo-generator FAQ

How many logo variants will be generated?

At least 6 distinct design variants are generated initially, each with different patterns, complexity levels, and visual approaches. You can request additional variants after reviewing the initial set.

What file formats can I export?

Logos are generated as SVG (scalable vector format) and can be exported to PNG at 1024x1024px or custom sizes. SVG files remain fully editable.

What are the 12 background styles?

Six dark styles (void, frosted, fluid, spotlight, analog_liquid, led_matrix) and six light styles (editorial, iridescent, morning, clinical, ui_container, swiss_flat). Each has specific visual characteristics suited to different brand types.

Can I iterate on designs after the initial generation?

Yes. You can select favorite variants, adjust colors, spacing, or animations, combine elements from different variants, or request new variants exploring specific directions without regenerating everything.

Do I need to set up anything before using this skill?

For showcase image generation, copy `.env.example` to `.env` and add your Gemini API key. SVG generation works immediately without additional setup.

Full instructions (SKILL.md)

Source of truth, from op7418/logo-generator-skill.


name: logo-generator description: > Generate professional SVG logos and high-end showcase images. Use when the user wants to: (1) Create a logo or icon for their product/brand, (2) Generate logo design concepts based on product information, (3) Create professional logo showcase presentations with multiple background styles, (4) Export logos in various formats (SVG, PNG), or (5) Iterate on logo designs with different visual styles. Supports geometric patterns, dot matrix designs, line systems, and mixed compositions. Generates showcase images using Nano Banana (Gemini image generation) with 12 professional background styles.

Logo Generator

Generate professional SVG logos and high-end showcase presentations for products and brands.

Workflow

Phase 1: Information Gathering

Collect essential information from the user:

  1. Product/Brand Name (required)
  2. Industry/Category (e.g., AI, fintech, design tools)
  3. Core Concept (e.g., connection, flow, security, simplicity)
  4. Design Preferences:
    • Style: minimal/complex, geometric/organic
    • Color preference: monochrome/specific colors
    • Mood: cold/warm, professional/friendly

Ask concise questions to gather this information. Don't overwhelm the user with too many questions at once.

Phase 2: Pattern Matching & SVG Generation

Based on the gathered information:

  1. Generate at least 6 design variants based on references/design_patterns.md

    • Match patterns to product characteristics
    • Use different pattern types and combinations for diversity
    • Include both single-pattern and mixed-pattern compositions
    • Vary complexity levels (simple geometric to layered compositions)
    • Each variant should feel distinctly different, not just parameter tweaks
    • Explain the design rationale for each variant
  2. Generate SVG code for each variant

    • Use viewBox="0 0 100 100" for easy scaling
    • Keep code clean and well-structured
    • Use currentColor for flexible color control
    • Add subtle animations for web display (optional)
  3. Create interactive showcase webpage

    • Display all 6+ logo variants in a grid layout
    • Use the template from assets/showcase_template.html
    • Include hover effects and smooth transitions
    • Add design rationale for each variant
    • Allow easy comparison between variants

Phase 3: Iteration & Refinement

Allow user to provide feedback:

  • Select favorite variants (narrow down from 6+ to 2-3)
  • Adjust specific parameters (size, spacing, rotation)
  • Combine elements from different variants
  • Change colors or add gradients
  • Modify animations or effects
  • Generate additional variants exploring specific directions

Make targeted adjustments based on feedback. Don't regenerate everything unless requested.

Phase 4: High-End Showcase Generation

Once the user selects a preferred logo direction:

  1. Export SVG to PNG

    • Use scripts/svg_to_png.py to convert SVG to PNG
    • Default size: 1024x1024px
    • Ensure transparent background
  2. Select showcase styles

    • Review references/background_styles.md
    • Recommend 4 styles based on product type and mood
    • Explain why each style fits
  3. Generate showcase images

    • Set up environment (copy .env.example to .env, add API key)
    • Use scripts/generate_showcase.py with --all-styles flag
    • Or generate specific styles individually
    • Each image uses the PNG as reference with Nano Banana API
  4. Create final presentation webpage

    • Combine SVG variants and showcase images
    • Use professional layout with micro-typography
    • Include download links for all assets

Phase 5: Delivery

Provide the user with:

  • Interactive HTML showcase page
  • SVG files (editable vector format)
  • PNG exports (various sizes if requested)
  • Showcase images (4 professional backgrounds)

Key Design Principles

  1. Provide Variety: Generate at least 6 distinct variants to give users real choices
  2. Start Simple: Begin with basic patterns, add complexity only when needed
  3. Meaningful Design: Connect visual elements to product concepts
  4. Scalability: Ensure logos work at all sizes
  5. Professional Quality: Match high-end brand identity standards
  6. Flexibility: Provide multiple variants for different use cases

Technical Notes

SVG Best Practices

  • Keep viewBox at 0 0 100 100 for consistency
  • Use semantic grouping with <g> tags
  • Leverage <defs> for reusable elements
  • Use <clipPath> for masking effects
  • Prefer geometric primitives over complex paths when possible

Showcase Image Generation

The generate_showcase.py script requires:

  • Python 3.8+
  • Dependencies: pip install -r requirements.txt
  • Environment variables in .env file
  • Reference PNG image (exported from SVG)

Supports both official Google Gemini API and third-party endpoints via GEMINI_API_BASE_URL.

Available Background Styles

From references/background_styles.md:

12 Professional Styles Available:

Dark Styles (6):

  • void (绝对虚空) - Absolute minimalism, hardcore tech
  • frosted (磨砂穹顶) - Modern breathing space, premium products
  • fluid (流体深渊) - AI-native fluidity, dynamic systems
  • spotlight (物理影棚) - Studio lighting, editorial quality
  • analog_liquid (物理流体) - Metallic shimmer on solid color base, creative brands
  • led_matrix (数字硬件) - Digital retro, cyberpunk aesthetics

Light Styles (6):

  • editorial (纸本编辑) - Specialty paper, humanistic brands
  • iridescent (幻彩透砂) - Optical materials, tech hardware
  • morning (晨雾光域) - AI softness, approachable products
  • clinical (无菌影棚) - Spatial order, algorithm-driven brands
  • ui_container (容器化界面) - Digital product native, SaaS platforms
  • swiss_flat (瑞士扁平) - Absolute flatness, timeless authority

Each style has specific visual characteristics and suitable use cases. Consult the reference document for details.

Common Patterns

Pattern: Concentric Circle Dots

<svg viewBox="0 0 100 100">
  <g>
    <!-- Inner ring: 6 dots -->
    <circle cx="50" cy="38" r="3" fill="currentColor"/>
    <!-- Add more dots in circular arrangement -->
  </g>
</svg>

Pattern: Geometric Shape with Line Accent

<svg viewBox="0 0 100 100">
  <polygon points="50,30 70,60 30,60" fill="none" stroke="currentColor" stroke-width="2"/>
  <circle cx="50" cy="30" r="4" fill="currentColor"/>
</svg>

Pattern: Node Network

<svg viewBox="0 0 100 100">
  <path d="M 30 70 Q 50 70, 50 50 T 70 30" stroke="currentColor" stroke-width="2" fill="none"/>
  <circle cx="30" cy="70" r="4" fill="currentColor"/>
  <circle cx="50" cy="50" r="5" fill="currentColor"/>
  <circle cx="70" cy="30" r="4" fill="currentColor"/>
</svg>

For more patterns and combinations, see references/design_patterns.md.

Troubleshooting

SVG not displaying correctly: Check viewBox and ensure all paths are closed

PNG export fails: Verify cairosvg is installed (pip install cairosvg)

Showcase generation fails:

  • Check .env file has valid GEMINI_API_KEY
  • Verify reference PNG exists and is readable
  • Check API quota/rate limits

Third-party API not working: Ensure GEMINI_API_BASE_URL is correctly formatted (e.g., https://api.example.com/v1)