image-generation
Use this skill for any image-related AI generation or editing task.
Skill by michaelboeding
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/michaelboeding-image-generation
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: writing, productivity
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/image-generation
What's inside
- Skill name
image-generation- Description
- Use this skill for any image-related AI generation or editing task. Triggers include: GENERATE: "generate image", "create image", "make picture", "draw", "visualize", "image of", "create art", "generate art" EDIT: "edit image", "modify image", "change image", "update image", "fix image", "enhance image" ADD/REMOVE: "add to image", "put in image", "remove from image", "delete from image", "add element" STYLE: "style transfer", "make it look like", "convert style", "apply style", "in the style of" PRODUCT: "product photo", "product placement", "place product", "mockup", "put product on" COMPOSITE: "combine images", "merge images", "blend images", "create composite" Supports text-to-image generation, image editing with references, product placement, style transfer, and multi-image composition using Google Gemini (Nano Banana Pro) or OpenAI DALL-E.
- License
- MIT
- Instructions
- 372 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (3)
- SKILL.md
- gemini.py · scripts/
- openai_image.py · scripts/
SKILL.md (first lines)
# Image Generation & Editing Skill Generate and edit images using AI (Google Gemini Nano Banana Pro, OpenAI DALL-E 3). **Capabilities:** - 🎨 **Generate**: Create new images from text descriptions - ✏️ **Edit**: Modify existing images (add/remove elements, change colors) - 🛍️ **Product Placement**: Put products into scenes - 🎭 **Style Transfer**: Apply artistic styles to photos - 🖼️ **Composite**: Combine multiple images into one ## Quick Examples Users can specify what they want: | User Says | Mode | What Happens | |-----------|------|--------------| | "Generate an image of a sunset" | Generate | Text-to-image, no reference needed | | "Create a logo for my coffee shop" | Generate | Text-to-image with text rendering | | "Edit this image: add a hat to the cat" | Edit | User provides image, AI modifies it | | "Remove the background from this photo" | Edit | User provides image, AI edits it | | "Put this product on a kitchen counter" | Product | User provides product + optional scene | | "Make this photo look like Van Gogh painted it" | Style | User provides photo, AI applies style | | "Combine these photos into a group shot" | Composite | User provides multiple images | ## Prerequisites Environment variables must be configured for the APIs to work. At least one API key is required: - `OPENAI_API_KEY` - For OpenAI DALL-E 3 image generation - `GOOGLE_API_KEY` - For Google Gemini (Nano Banana / Nano Banana Pro) See the repository README for setup instructions. ## Available APIs ### OpenAI GPT Image (Recommended for pure generation) - **Models**: - `gpt-image-1.5` (state of the art, best quality) - `gpt-image-1` (great quality, cost-effective) - `gpt-image-1-mini` (fastest, most affordable) - **Best for**: High-quality generation, transparency, text rendering, image editing - **Sizes**: 1024x1024 (square), 1536x1024 (landscape), 1024x1536 (portrait), or `auto` - **Quality**: low (fast), medium (balanced), high (best), or `auto` - **Background**: transparent, opaque, or `auto` - **Output formats**: png (default), jpeg (faster), webp - **Compression**: 0-100% (for jpeg/webp) - **Features**: - Image editing with up to 16 input images - Transparent backgrounds - Streaming with partial images - High input fidelity for preserving faces/logos - Inpainting with masks - 32,000 character prompts > ⚠️ **Note**: DALL-E 2 and DALL-E 3 are deprecated and will stop being supported on 05/12/2026. ### Google Gemini Native Image Generation (Recommended for editing) - **Nano Banana** (`gemini-2.5-flash-image`): Fast, efficient, 1K resolution, up to 3 reference images - **Nano Banana Pro** (`gemini-3-pro-image-preview`): Professional quality, up to 4K, thinking mode, up to 14 reference images (default) - **Aspect ratios**: 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9 - **Resolutions** (Pro only): 1K, 2K, 4K - **Features**: - Image editing (add/remove elements, color changes) - Product placement and composition - Style transfer - Advanced text rendering - Google Search grounding (Pro only) - Thinking mode for complex prompts (Pro only) ## Workflow ### Step 1: Gather Requirements (REQUIRED) ⚠️ **Use interactive questioning — ask ONE question at a time.** #### Question Flow ⚠️ **Use the `AskUserQuestion` tool for each question below.** Do not just print questions in your response — use the tool to create interactive prompts with the options shown. **Q0: Model Selection** > "Which image generation model would you like to use? > > - Google Gemini (Nano Banana Pro) - Up to 4K, 14 reference images, style transfer, thinking mode (Recommended) > - OpenAI GPT Image 1.5 - State of the art, transparency, streaming, up to 16 input images > - OpenAI GPT Image 1 - Great quality, transparency, image editing > - OpenAI GPT Image 1 Mini - Fastest, most affordable" *Wait for response. If user doesn't have a preference, recommend Gemini for editing/reference tasks or GPT Image 1.5 for pure generation.* **Q1: Reference** > "I'll generate that image for you! First — **do you have any reference images?** > > - Product photos to include > - Style references > - Images to edit > - No, generate from scratch" *Wait for response.* **Q2: Aspect Ratio** > "What **aspect ratio**? > > - 1:1 (square) > - 16:9 (landscape/widescreen) > - 9:16 (portrait/vertical) > - 4:3 / 3:4 (classic) > - Other (2:3, 3:2, 4:5, 5:4, 21:9) > - Or specify" *Wait for response.* **Q3: Resolution** > "What **resolution**? > > - 1K (fast) > - 2K (balanced) > - 4K (highest quality)"
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Signals
- Stars
- 30
- Forks
- 2
- Open issues
- 0
- Last commit (this folder)
- Jan 19, 2026 (9 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/michaelboeding/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
image-generation skill. Agent Mart. https://agentmart.dev/skills/michaelboeding-image-generation (last updated 2026-10-24)