### Generate Image
Works with
name: "generate-image"
description: "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 ..."
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiongenerate-imageExecute the skills CLI command in your project's root directory to begin installation:
Fetches generate-image from K-Dense-AI/scientific-agent-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate generate-image. Access via /generate-image in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
0
total installs
0
this week
0
upvotes
Run in your terminal
0
installs
0
this week
—
stars
| name | generate-image |
| description | 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. |
| license | MIT license |
| compatibility | Requires an OpenRouter API key |
| metadata | version: "1.0" skill-author: K-Dense Inc. |
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 modelsPrerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
K-Dense-AI/scientific-agent-skills
K-Dense-AI/scientific-agent-skills
K-Dense-AI/scientific-agent-skills
K-Dense-AI/scientific-agent-skills
google-deepmind/science-skills
google-deepmind/science-skills
Solid pick for teams standardizing on skills: generate-image is focused, and the summary matches what you get after install.
Solid pick for teams standardizing on skills: generate-image is focused, and the summary matches what you get after install.
generate-image is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added generate-image from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
We added generate-image from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
generate-image reduced setup friction for our internal harness; good balance of opinion and flexibility.
generate-image fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
generate-image fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for generate-image matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: generate-image is focused, and the summary matches what you get after install.
showing 1-10 of 36