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- Python 3.8 or higher
- Gemini API key (for showcase image generation)
- cairosvg library for SVG-to-PNG conversion
How to use logo-generator
- 1.Answer questions about your product/brand name, industry, core concept, and design preferences
- 2.Review the 6+ generated SVG logo variants displayed in an interactive showcase page
- 3.Select your favorite variants and provide feedback on style, colors, or specific adjustments
- 4.Request refinements or additional variants exploring specific design directions
- 5.Once satisfied, generate high-end showcase images with professional backgrounds
- 6.Download the final assets: SVG files, PNG exports, and presentation webpage
Use cases
- 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
- 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
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.
Logos are generated as SVG (scalable vector format) and can be exported to PNG at 1024x1024px or custom sizes. SVG files remain fully editable.
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.
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.
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:
- Product/Brand Name (required)
- Industry/Category (e.g., AI, fintech, design tools)
- Core Concept (e.g., connection, flow, security, simplicity)
- 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:
-
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
-
Generate SVG code for each variant
- Use viewBox="0 0 100 100" for easy scaling
- Keep code clean and well-structured
- Use
currentColorfor flexible color control - Add subtle animations for web display (optional)
-
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:
-
Export SVG to PNG
- Use
scripts/svg_to_png.pyto convert SVG to PNG - Default size: 1024x1024px
- Ensure transparent background
- Use
-
Select showcase styles
- Review
references/background_styles.md - Recommend 4 styles based on product type and mood
- Explain why each style fits
- Review
-
Generate showcase images
- Set up environment (copy
.env.exampleto.env, add API key) - Use
scripts/generate_showcase.pywith--all-stylesflag - Or generate specific styles individually
- Each image uses the PNG as reference with Nano Banana API
- Set up environment (copy
-
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
- Provide Variety: Generate at least 6 distinct variants to give users real choices
- Start Simple: Begin with basic patterns, add complexity only when needed
- Meaningful Design: Connect visual elements to product concepts
- Scalability: Ensure logos work at all sizes
- Professional Quality: Match high-end brand identity standards
- Flexibility: Provide multiple variants for different use cases
Technical Notes
SVG Best Practices
- Keep viewBox at
0 0 100 100for 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
.envfile - 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
.envfile has validGEMINI_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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