logo-creator

resciencelab/opc-skills · updated May 22, 2026

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$npx skills add https://github.com/resciencelab/opc-skills --skill logo-creator
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summary

AI-powered logo design with iterative refinement, background removal, and SVG export.

  • Guides users through discovery (style, ratio, colors) before generating 20 initial logo variations using AI image generation
  • Includes batch generation, HTML preview gallery, and iterative feedback loops to refine designs across multiple rounds
  • Provides post-processing tools: automatic whitespace cropping, background removal via remove.bg API, and vectorization to SVG format
  • Requires three API key
skill.md

Logo Creator Skill

Create professional logos through AI image generation with an iterative design process.

Prerequisites

Required API Keys (set in environment):

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:

  1. Project/Brand name - What is the logo for?

  2. 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
  3. Aspect ratio - Default is 1:1 (square), options:

    • 1:1 - Square (favicons, app icons)
    • 16:9 - Wide (headers, banners)
    • 4:3 - Standard
    • 2:3 - Portrait
  4. Color preferences:

    • Monochrome (black & white)
    • Specific brand colors
    • Let AI decide
  5. 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:

  1. Generate 10-20 more variations of favorite styles
  2. Use naming: logo-{original}-v{n}.png (e.g., logo-05-v1.png)
  3. Update HTML preview
  4. 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/Landscape
  • 3:4, 4:3 - Standard
  • 4:5, 5:4 - Photo
  • 9:16, 16:9 - Wide
  • 21:9 - Ultra-wide

References

how to use logo-creator

How to use logo-creator on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add logo-creator
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/resciencelab/opc-skills --skill logo-creator

The skills CLI fetches logo-creator from GitHub repository resciencelab/opc-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/logo-creator

Reload or restart Cursor to activate logo-creator. Access the skill through slash commands (e.g., /logo-creator) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.763 reviews
  • Maya Harris· Dec 28, 2024

    We added logo-creator from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • William Abbas· Dec 16, 2024

    Solid pick for teams standardizing on skills: logo-creator is focused, and the summary matches what you get after install.

  • Isabella Malhotra· Dec 12, 2024

    logo-creator reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Maya White· Dec 8, 2024

    logo-creator has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Advait Patel· Dec 8, 2024

    Useful defaults in logo-creator — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Noah Patel· Dec 4, 2024

    logo-creator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Chinedu Jackson· Nov 27, 2024

    We added logo-creator from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Michael Reddy· Nov 19, 2024

    Useful defaults in logo-creator — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Fatima Chawla· Nov 7, 2024

    I recommend logo-creator for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Yash Thakker· Nov 3, 2024

    logo-creator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

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