Generate or edit images using AI models (FLUX, Nano Banana 2). Use for general-purpose image generation including photos, illustrations, artwork, visual assets, concept art, and any image that is not a technical diagram or schematic. For flowcharts, circuits, pathways, and technical diagrams, use the scientific-schematics skill instead.
npx skills add https://github.com/foryourhealth111-pixel/Vibe-Skills --skill generate-image
Generate and edit high-quality images using OpenRouter's image generation models including FLUX.2 Pro and Gemini 3.1 Flash Image Preview.
Use generate-image for:
Use scientific-schematics instead for:
Use the scripts/generate_image.py script to generate or edit images:
# Generate a new image
python scripts/generate_image.py "A beautiful sunset over mountains"
# Edit an existing image
python scripts/generate_image.py "Make the sky purple" --input photo.jpg
This generates/edits an image and saves it as generated_image.png in the current directory.
CRITICAL: The script requires an OpenRouter API key. Before running, check if the user has configured their API key:
.env file in the project directory or parent directoriesOPENROUTER_API_KEY=<key> in the .env file.env file with OPENROUTER_API_KEY=your-api-key-hereexport OPENROUTER_API_KEY=your-api-key-hereThe script will automatically detect the .env file and provide clear error messages if the API key is missing.
Default model: google/gemini-3.1-flash-image-preview (high quality, recommended)
Available models for generation and editing:
google/gemini-3.1-flash-image-preview - High quality, supports generation + editingblack-forest-labs/flux.2-pro - Fast, high quality, supports generation + editingGeneration only:
black-forest-labs/flux.2-flex - Fast and cheap, but not as high quality as proSelect based on:
python scripts/generate_image.py "Your prompt here"
python scripts/generate_image.py "A cat in space" --model "black-forest-labs/flux.2-pro"
python scripts/generate_image.py "Abstract art" --output artwork.png
python scripts/generate_image.py "Make the background blue" --input photo.jpg
python scripts/generate_image.py "Add sunglasses to the person" --input portrait.png --model "black-forest-labs/flux.2-pro"
python scripts/generate_image.py "Remove the text from the image" --input screenshot.png --output cleaned.png
Run the script multiple times with different prompts or output paths:
python scripts/generate_image.py "Image 1 description" --output image1.png
python scripts/generate_image.py "Image 2 description" --output image2.png
prompt (required): Text description of the image to generate, or editing instructions--input or -i: Input image path for editing (enables edit mode)--model or -m: OpenRouter model ID (default: google/gemini-3.1-flash-image-preview)--output or -o: Output file path (default: generated_image.png)--api-key: OpenRouter API key (overrides .env file)# Generate a conceptual illustration for a paper
python scripts/generate_image.py "Microscopic view of cancer cells being attacked by immunotherapy agents, scientific illustration style" --output figures/immunotherapy_concept.png
# Create a visual for a presentation
python scripts/generate_image.py "DNA double helix structure with highlighted mutation site, modern scientific visualization" --output slides/dna_mutation.png
# Title slide background
python scripts/generate_image.py "Abstract blue and white background with subtle molecular patterns, professional presentation style" --output slides/background.png
# Poster hero image
python scripts/generate_image.py "Laboratory setting with modern equipment, photorealistic, well-lit" --output poster/hero.png
# Website or documentation images
python scripts/generate_image.py "Professional team collaboration around a digital whiteboard, modern office" --output docs/team_collaboration.png
# Marketing materials
python scripts/generate_image.py "Futuristic AI brain concept with glowing neural networks" --output marketing/ai_concept.png
The script provides clear error messages for:
If the script fails, read the error message and address the issue before retrying.
images and content response formats from different OpenRouter modelsCreate 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 foryourhealth111-pixel/generate-image 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.