logo-generator

Installation
SKILL.md

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)

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