Create logos using AI image generation. Discuss style/ratio, generate variations, iterate with user feedback, crop, remove background, and export as SVG. Use when user wants to create a logo, icon, favicon, brand mark, mascot, emblem, or design a logo.
npx skills add https://github.com/ReScienceLab/opc-skills --skill logo-creator
Create professional logos through AI image generation with an iterative design process.
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.aiRequired Skills:
nanobanana - AI image generation (Gemini 3 Pro Image)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:
yyyy-mm-ddBefore generating, gather requirements from user:
Ask about:
1:1 - Square (favicons, app icons)16:9 - Wide (headers, banners)4:3 - Standard2:3 - PortraitWait for user confirmation before proceeding!
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:
.skill-archive/logo-creator/<yyyy-mm-dd-summaryname>/ directorylogo-01.png, logo-02.png, etc.Prompt Tips:
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.
Ask user which logos they prefer:
Based on feedback:
logo-{original}-v{n}.png (e.g., logo-05-v1.png)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}
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.
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
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-wideCreate beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts.
Downloads videos from YouTube and other platforms for offline viewing, editing, or archival. Handles various formats and quality options.
Lightweight WSI tile extraction and preprocessing. Use for basic slide processing tissue detection, tile extraction, stain normalization for H&E images. Best for simple pipelines, dataset preparation, quick tile-based analysis. For advanced spatial proteomics, multiplexed imaging, or deep learning pipelines use pathml.
Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows.
Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.
This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.
Take resciencelab/logo-creator from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.