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Generate Image

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ynulihao
generate-image

Generate or edit images using AI models (FLUX, Gemini). Use for general-purpose image generation including photos, illustrations, artwork, visual assets, concept art, and any image that isn't a technical diagram or schematic. For flowcharts, circuits, pathways, and technical diagrams, use the scientific-schematics skill instead.

Overview

Publisherynulihao
RepositoryAgentSkillOS
Skill namegenerate-image
Stars
612
Forks
76
Bundled files
1
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ynulihao on GitHub. Read the source before you install it.

Installation

Install the Generate Image AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ynulihao/AgentSkillOS.git /tmp/AgentSkillOS
mkdir -p .claude/skills
cp -r /tmp/AgentSkillOS/data/skill_seeds/generate-image .claude/skills/generate-image
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Generate Image in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Generate Image on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Generate Image is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Generate Image

Generate and edit high-quality images using OpenRouter's image generation models including FLUX.2 Pro and Gemini 3 Pro.

When to Use This Skill

Use generate-image for:

  • Photos and photorealistic images
  • Artistic illustrations and artwork
  • Concept art and visual concepts
  • Visual assets for presentations or documents
  • Image editing and modifications
  • Any general-purpose image generation needs

Use scientific-schematics instead for:

  • Flowcharts and process diagrams
  • Circuit diagrams and electrical schematics
  • Biological pathways and signaling cascades
  • System architecture diagrams
  • CONSORT diagrams and methodology flowcharts
  • Any technical/schematic diagrams

Quick Start

Use the scripts/generate_image.py script to generate or edit images:

bash
# 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.

API Key Setup

CRITICAL: The script requires an OpenRouter API key. Before running, check if the user has configured their API key:

  1. Look for a .env file in the project directory or parent directories
  2. Check for OPENROUTER_API_KEY=<key> in the .env file
  3. If not found, inform the user they need to:
    • Create a .env file with OPENROUTER_API_KEY=your-api-key-here
    • Or set the environment variable: export OPENROUTER_API_KEY=your-api-key-here
    • Get an API key from: https://openrouter.ai/keys

The script will automatically detect the .env file and provide clear error messages if the API key is missing.

Model Selection

Default model: google/gemini-3-pro-image-preview (high quality, recommended)

Available models for generation and editing:

  • google/gemini-3-pro-image-preview - High quality, supports generation + editing
  • black-forest-labs/flux.2-pro - Fast, high quality, supports generation + editing

Generation only:

  • black-forest-labs/flux.2-flex - Fast and cheap, but not as high quality as pro

Select based on:

  • Quality: Use gemini-3-pro or flux.2-pro
  • Editing: Use gemini-3-pro or flux.2-pro (both support image editing)
  • Cost: Use flux.2-flex for generation only

Common Usage Patterns

Basic generation

bash
python scripts/generate_image.py "Your prompt here"

Specify model

bash
python scripts/generate_image.py "A cat in space" --model "black-forest-labs/flux.2-pro"

Custom output path

bash
python scripts/generate_image.py "Abstract art" --output artwork.png

Edit an existing image

bash
python scripts/generate_image.py "Make the background blue" --input photo.jpg

Edit with a specific model

bash
python scripts/generate_image.py "Add sunglasses to the person" --input portrait.png --model "black-forest-labs/flux.2-pro"

Edit with custom output

bash
python scripts/generate_image.py "Remove the text from the image" --input screenshot.png --output cleaned.png

Multiple images

Run the script multiple times with different prompts or output paths:

bash
python scripts/generate_image.py "Image 1 description" --output image1.png
python scripts/generate_image.py "Image 2 description" --output image2.png

Script Parameters

  • 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-pro-image-preview)
  • --output or -o: Output file path (default: generated_image.png)
  • --api-key: OpenRouter API key (overrides .env file)

Example Use Cases

For Scientific Documents

bash
# 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

For Presentations and Posters

bash
# 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

For General Visual Content

bash
# 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

Error Handling

The script provides clear error messages for:

  • Missing API key (with setup instructions)
  • API errors (with status codes)
  • Unexpected response formats
  • Missing dependencies (requests library)

If the script fails, read the error message and address the issue before retrying.

Notes

  • Images are returned as base64-encoded data URLs and automatically saved as PNG files
  • The script supports both images and content response formats from different OpenRouter models
  • Generation time varies by model (typically 5-30 seconds)
  • For image editing, the input image is encoded as base64 and sent to the model
  • Supported input image formats: PNG, JPEG, GIF, WebP
  • Check OpenRouter pricing for cost information: https://openrouter.ai/models

Image Editing Tips

  • Be specific about what changes you want (e.g., "change the sky to sunset colors" vs "edit the sky")
  • Reference specific elements in the image when possible
  • For best results, use clear and detailed editing instructions
  • Both Gemini 3 Pro and FLUX.2 Pro support image editing through OpenRouter

Integration with Other Skills

  • scientific-schematics: Use for technical diagrams, flowcharts, circuits, pathways
  • generate-image: Use for photos, illustrations, artwork, visual concepts
  • scientific-slides: Combine with generate-image for visually rich presentations
  • latex-posters: Use generate-image for poster visuals and hero images

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Generate Image AI skill do?

Generate or edit images using AI models (FLUX, Gemini). Use for general-purpose image generation including photos, illustrations, artwork, visual assets, concept art, and any image that isn't a technical diagram or schematic. For flowcharts, circuits, pathways, and technical diagrams, use the scientific-schematics skill instead.

Why use Generate Image on TypingMind?

Because you install it once and use it with any model. Generate Image is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Generate Image in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ynulihao/AgentSkillOS/tree/main/data/skill_seeds/generate-image. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Generate Image?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Generate Image?

As many as you like. As long as a model supports skills, you can use Generate Image with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Generate Image AI skill free?

It is published on GitHub by ynulihao. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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