logo-creator
Scannednpx machina-cli add skill ReScienceLab/opc-skills/logo-creator --openclawLogo Creator Skill
Create professional logos through AI image generation with an iterative design process.
Prerequisites
Required API Keys (set in environment):
GEMINI_API_KEY- Get from Google AI StudioREMOVE_BG_API_KEY- Get from remove.bgRECRAFT_API_KEY- Get from recraft.ai
Required Skills:
nanobanana- AI image generation (Gemini 3 Pro Image)
File Output Location
All generated files should be saved to the .skill-archive directory:
.skill-archive/logo-creator/<yyyy-mm-dd-summaryname>/
Example:
.skill-archive/logo-creator/2026-01-18-opc-logo/
logo-01.png
logo-02.png
...
logo-09-cropped.png
logo-09-nobg.png
logo-09.svg
preview.html
Guidelines:
- Use current date in format
yyyy-mm-dd - Add short summary name (project/brand name, kebab-case)
- Create directory before generating first logo
- Keep all variations and iterations in same folder
- Final approved logo should be copied to user's desired location
Workflow
Step 1: Discovery & Requirements
Before generating, gather requirements from user:
Ask about:
-
Project/Brand name - What is the logo for?
-
Style preference - See references/styles.md for options:
- Pixel art / 8-bit retro
- Minimalist / flat design
- 3D / isometric
- Hand-drawn / sketch
- Mascot / character
- Monogram / lettermark
- Abstract / geometric
-
Aspect ratio - Default is 1:1 (square), options:
1:1- Square (favicons, app icons)16:9- Wide (headers, banners)4:3- Standard2:3- Portrait
-
Color preferences:
- Monochrome (black & white)
- Specific brand colors
- Let AI decide
-
Reference images - Any existing logos or styles to reference?
Wait for user confirmation before proceeding!
Step 2: Generate Logo Variations
Generate 20 logo variations (default) using the nanobanana skill:
# Generate single logo
python3 <nanobanana_skill_dir>/scripts/generate.py "{style} logo for {brand}, {description}, {colors}" \
--ratio 1:1 -o .skill-archive/logo-creator/<date-name>/logo-01.png
# Batch generate 20 logos
python3 <nanobanana_skill_dir>/scripts/batch_generate.py "{style} logo for {brand}, {description}, {colors}" \
-n 20 --ratio 1:1 -d .skill-archive/logo-creator/<date-name> -p logo
Guidelines:
- Use batch_generate.py for multiple variations (includes auto-delay)
- Save to
.skill-archive/logo-creator/<yyyy-mm-dd-summaryname>/directory - Use sequential naming:
logo-01.png,logo-02.png, etc.
Prompt Tips:
- Include style keywords: "pixel art", "minimalist", "8-bit", "flat design"
- Specify colors: "black on white", "monochrome", "blue gradient"
- Add context: "tech startup", "food brand", "gaming company"
- Request format: "icon", "emblem", "mascot", "lettermark"
Step 3: Create HTML Preview
Copy the preview template and open in browser:
cp <skill_dir>/templates/preview.html .skill-archive/logo-creator/<yyyy-mm-dd-summaryname>/preview.html
Then open in default browser:
open .skill-archive/logo-creator/<yyyy-mm-dd-summaryname>/preview.html
IMPORTANT: Update the HTML to include the correct number of logos generated.
Step 4: Iterate with User
Ask user which logos they prefer:
- "Which logos do you like? (e.g., #5, #12, #18)"
- "What do you like about them?"
- "Any changes you'd want?"
Based on feedback:
- Generate 10-20 more variations of favorite styles
- Use naming:
logo-{original}-v{n}.png(e.g.,logo-05-v1.png) - Update HTML preview
- Repeat until user selects final logo
Step 5: Finalize Logo
Once user approves a logo, process it:
5a. Crop whitespace (make 1:1 with no margins):
python3 <skill_dir>/scripts/crop_logo.py {input.png} {output-cropped.png}
5b. Remove background:
python3 <skill_dir>/scripts/remove_bg.py {input.png} {output-nobg.png}
5c. Convert to SVG:
python3 <skill_dir>/scripts/vectorize.py {input.png} {output.svg}
Step 6: Deliver Final Assets
Present final deliverables:
## Final Logo Assets
| File | Description | Size |
|------|-------------|------|
| logo.png | Original | 1024x1024 |
| logo-cropped.png | No margins, 1:1 | ~800x800 |
| logo-nobg.png | Transparent background | ~800x800 |
| logo.svg | Vector (scalable) | ~20KB |
All files saved to: `.skill-archive/logo-creator/<yyyy-mm-dd-summaryname>/`
Copy final logo to user's desired location.
Quick Reference
Common Prompt Patterns
Pixel Art:
Pixel art {subject} logo, 8-bit retro style, black pixels on white background, {size}x{size} grid, minimalist icon
Minimalist:
Minimalist {subject} logo, flat design, clean lines, {color} on white, simple geometric shapes
Mascot:
Cute {animal/character} mascot logo, friendly expression, {style} style, {colors}, suitable for brand icon
Lettermark:
Letter "{letter}" logo, modern typography, {style} design, {colors}, clean professional look
Supported Aspect Ratios
1:1- Square (default for logos)2:3,3:2- Portrait/Landscape3:4,4:3- Standard4:5,5:4- Photo9:16,16:9- Wide21:9- Ultra-wide
References
- references/styles.md - Logo style guide with prompt examples
- examples/opc-logo-creation.md - Full example conversation
Source
git clone https://github.com/ReScienceLab/opc-skills/blob/main/skills/logo-creator/SKILL.mdView on GitHub Overview
Logo-creator uses AI image generation to craft professional logos through an iterative design process. It guides style and ratio decisions, generates multiple variations, and refines them with feedback, including cropping and background removal, with final SVG export. Ideal for logos, icons, favicons, brand marks, mascots, emblems, and related branding assets.
How This Skill Works
Begin with discovery and requirements (style, aspect ratio, colors). Generate 20 logo variations using the nanobanana AI image generation skill and save all assets under .skill-archive/logo-creator/<date-name>/. Preview in HTML, then iterate with stakeholder feedback and regenerate as needed. Finalize by cropping, removing backgrounds, and exporting the logo as SVG.
When to Use It
- You need a new logo for a brand or product
- Creating icons, favicons, or brand marks
- Exploring multiple style directions (minimalist, 3D, mascot, etc.)
- Redesigns or iterations based on stakeholder feedback
- Export-ready SVGs for web, print, and branding assets
Quick Start
- Step 1: Gather brand name, style, ratio, and colors
- Step 2: Run batch_generate to create 20 logo variations
- Step 3: Preview, iterate with client feedback, crop, remove bg, and export SVG
Best Practices
- Define style, ratio, and color palette upfront
- Collect references and context from stakeholders
- Generate batch variations and keep all assets in a single folder
- Use consistent naming like logo-01, logo-02, etc.
- Verify final outputs with SVG export and background removal
Example Use Cases
- Tech startup logo with a modern minimalist style
- App icon and favicon for a mobile product
- Mascot emblem for a sports team
- Monogram/lettermark for a luxury brand
- Brand mark for a food or beverage company