gpt-image-skill

name gpt-image-skill description Generate or edit images using OpenAI GPT Image API (gpt-image-2, gpt-image-1, etc). Use ONLY when the user explicitly names OpenAI or GPT as the provider: "gpt image", "openai image", "generate image with openai", "用 openai 画图", "用 GPT 生成图片". For generic image requests without a provider, use nanobanana-skill instead. Do NOT use for diagrams (架构图/流程图) — draw those with Mermaid or code. allowed-tools Read, Write, Glob, Grep, Task, Bash(cat:*), Bash(ls:*), Bash(tree:*), Bash(python3:*) GPT Image Skill Generate or edit images using OpenAI's GPT Image models through a bundled Python script. Requirements OPENAI_API_KEY : Must be configured in ~/.gpt-image.env or export OPENAI_API_KEY=<your-key> OPENAI_API_BASE (optional): Custom API base URL for compatible endpoints (e.g. Azure OpenAI, proxies). Set in ~/.gpt-image.env or export it. Python3 with dependencies : openai, Pillow. Install via python3 -m pip install -r ${CLAUDE_SKILL_DIR}/requirements.txt if not installed yet. Executable : ${CLAUDE_SKILL_DIR}/gpt_image.py Instructions For image generation Ask the user for: What they want to create (the prompt) Desired size (optional, defaults to 1024x1024) Output filename (optional, auto-generates UUID-based name if not specified) Model preference (optional, defaults to gpt-image-2) Quality (optional, defaults to auto) Number of images (optional, defaults to 1) Run the script: python3 ${CLAUDE_SKILL_DIR} /gpt_image.py --prompt "description of image" --output "filename.png" Show the user the saved image path when complete. For image editing Ask the user for: Input image file(s) to edit (up to 3) What changes they want (the prompt) Output filename (optional) Run with input images: python3 ${CLAUDE_SKILL_DIR} /gpt_image.py edit --prompt "editing instructions" --input image1.png image2.png --output "edited.png" Available Options Models (--model) gpt-image-2 (default) — Latest model with strong instruction following, text rendering, and broad world knowledge gpt-image-1.5 — Mid-tier model gpt-image-1 — First-generation GPT image model gpt-image-1-mini — Lightweight, faster generation Sizes (--size) 1024x1024 (default) — Square 1024x1536 — Portrait (2:3) 1536x1024 — Landscape (3:2) auto — Let the model decide Quality (--quality) auto (default) — Model decides optimal quality high — Higher detail, slower medium — Balanced low — Fastest Output Format (--format) png (default) — Lossless jpeg — Smaller file size webp — Modern format, good compression Background (--background) auto (default) — Model decides transparent — Transparent background (png/webp only) opaque — Solid background Other Options --n <count> — Number of images to generate (default: 1) --output <filename> — Output filename (default: auto-generated) Examples Generate a simple image python3 ${CLAUDE_SKILL_DIR} /gpt_image.py --prompt "A serene mountain landscape at sunset with a lake" Generate with specific size and output python3 ${CLAUDE_SKILL_DIR} /gpt_image.py \ --prompt "Modern minimalist logo for a tech startup" \ --size 1024x1024 \ --quality high \ --output "logo.png" Generate landscape image python3 ${CLAUDE_SKILL_DIR} /gpt_image.py \ --prompt "Futuristic cityscape with flying cars" \ --size 1536x1024 \ --output "cityscape.png" Generate with transparent background python3 ${CLAUDE_SKILL_DIR} /gpt_image.py \ --prompt "A cute cartoon cat mascot" \ --background transparent \ --format png \ --output "mascot.png" Generate multiple images python3 ${CLAUDE_SKILL_DIR} /gpt_image.py \ --prompt "Abstract art in the style of Kandinsky" \ --n 3 \ --output "art.png" Edit existing images python3 ${CLAUDE_SKILL_DIR} /gpt_image.py edit \ --prompt "Add a rainbow in the sky" \ --input photo.png \ --output "photo-with-rainbow.png" Combine multiple reference images python3 ${CLAUDE_SKILL_DIR} /gpt_image.py edit \ --prompt "Create a gift basket containing all items shown" \ --input item1.png item2.png item3.png \ --output "gift-basket.png" Use a different model python3 ${CLAUDE_SKILL_DIR} /gpt_image.py \ --prompt "Detailed portrait of a cat in watercolor style" \ --model gpt-image-1 \ --output "cat-portrait.png" Error Handling If the script fails: Check that OPENAI_API_KEY is exported If using a custom endpoint, verify OPENAI_API_BASE is correct Verify input image files exist and are readable (for editing) Ensure the output directory is writable Check that the model name is valid Best Practices Be descriptive in prompts — include style, mood, colors, composition details For logos/icons, use square size (1024x1024) with transparent background For social media, use portrait (1024x1536) for stories or square for posts For wallpapers/headers, use landscape (1536x1024) Use high quality for final output, auto for quick iterations GPT Image models excel at text rendering — include text in prompts when needed For editing, provide clear instructions about what to change and what to keep