gpt-image-1-5 — Claude Code skill: what it does, how to install
Generates and edits images using OpenAI's GPT Image 1.5 model. It handles text prompts, full image alterations, and precise inpainting with masks.
npx skills add intellectronica/agent-skills --skill gpt-image-1-5 -a claude-codeWhat gpt-image-1-5 does
The skill executes a local Python script via uv run to interact with OpenAI APIs. It uses the Responses API with the image_generation tool for text-to-image prompts. For edits, it switches to the Image API (images.edit endpoint). Every result is saved directly as a PNG file with a timestamped name.
Image editing works in two distinct modes. Without a mask, the script builds an automatic transparent overlay so the model can adjust the full frame. When you provide a separate mask file via --mask, the model alters only the transparent regions.
Execution fails immediately if no key is present in --api-key or the OPENAI_API_KEY environment variable. You must also run commands from your current working directory. Otherwise, the script saves generated images inside the skill folder instead of your project.
What it helps with
- generate PNG graphics from text descriptions
- modify existing image styles and backgrounds without manual masks
- perform targeted inpainting on specific regions using PNG masks
- create illustrations with transparent backgrounds
Example prompts for the agent
- Generate a high quality landscape image of a Japanese garden with cherry blossoms
- Make the sky more dramatic with storm clouds in original-photo.jpg
- Add a swimming flamingo into the masked area using lounge.png and mask.png
How to install gpt-image-1-5
1Skills CLI (Vercel)
npx skills add intellectronica/agent-skills --skill gpt-image-1-5 -a claude-code2Manually: put the files in place
~/.claude/skills/gpt-image-1-5/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/gpt-image-1-5/
1Skills CLI (Vercel)
npx skills add intellectronica/agent-skills --skill gpt-image-1-5 -a codex2Manually: put the files in place
.agents/skills/gpt-image-1-5/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add intellectronica/agent-skills --skill gpt-image-1-5 -a cursor2Manually: put the files in place
.cursor/skills/gpt-image-1-5/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install intellectronica/agent-skills gpt-image-1-52Manually: put the files in place
.github/skills/gpt-image-1-5/SKILL.md1Skills CLI (Vercel)
npx skills add intellectronica/agent-skills --skill gpt-image-1-5 -a gemini-cli2Platform CLI
gemini skills install https://github.com/intellectronica/agent-skills --path skills/gpt-image-1-5Manually: put the files in place
.devin/skills/gpt-image-1-5/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add intellectronica/agent-skills --skill gpt-image-1-5 -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about gpt-image-1-5
How to install gpt-image-1-5 in Claude Code?
Run npx skills add intellectronica/agent-skills --skill gpt-image-1-5 -a claude-code.
What does gpt-image-1-5 do?
It enables image creation and editing via OpenAI's GPT Image 1.5 model directly from agent chat. It supports resolution choices, quality presets, and transparent backgrounds.
What dependencies are required to run gpt-image-1-5?
You need uv installed and an OpenAI API key. The key can be passed via --api-key or stored in the OPENAI_API_KEY environment variable.
Source text
SKILL.md · CC0-1.0
---
name: gpt-image-1-5
description: Generate and edit images using OpenAI's GPT Image 1.5 model. Use when the user asks to generate, create, edit, modify, change, alter, or update images. Also use when user references an existing image file and asks to modify it in any way (e.g., "modify this image", "change the background", "replace X with Y"). Supports text-to-image generation and image editing with optional mask. DO NOT read the image file first - use this skill directly with the --input-image parameter.
---
# GPT Image 1.5 - Image Generation & Editing
Generate new images or edit existing ones using OpenAI's GPT Image 1.5 model.
- **Generation**: Uses the Responses API with image_generation tool
- **Editing**: Uses the Image API for reliable mask-based inpainting
## Usage
Run the script using absolute path (do NOT cd to skill directory first):
**Generate new image:**
```bash
uv run ~/.claude/skills/gpt-image-1-5/scripts/generate_image.py --prompt "your image description" --filename "output-name.png" [--quality low|medium|high] [--size 1024x1024|1024x1536|1536x1024|auto] [--background transparent|opaque|auto] [--api-key KEY]
```
**Edit existing image (without mask - full image edit):**
```bash
uv run ~/.claude/skills/gpt-image-1-5/scripts/generate_image.py --prompt "editing instructions" --filename "output-name.png" --input-image "path/to/input.png" [--size 1024x1024|1024x1536|1536x1024|auto] [--api-key KEY]
```
**Edit existing image (with mask - precise inpainting):**
```bash
uv run ~/.claude/skills/gpt-image-1-5/scripts/generate_image.py --prompt "what to put in masked area" --filename "output-name.png" --input-image "path/to/input.png" --mask "path/to/mask.png" [--size 1024x1024|1024x1536|1536x1024|auto] [--api-key KEY]
```
**Important:** Always run from the user's current working directory so images are saved where the user is working, not in the skill directory.
## Parameters
### Quality Options
- **low** - Fastest generation, lower quality
- **medium** (default) - Balanced quality and speed
- **high** - Best quality, slower generation
Map user requests:
- No mention of quality -> `medium`
- "quick", "fast", "draft" -> `low`
- "high quality", "best", "detailed", "high-res" -> `high`
### Size Options
- **1024x1024** (default) - Square format
- **1024x1536** - Portrait format
- **1536x1024** - Landscape format
- **auto** - Let the model decide based on prompt
Map user requests:
- No mention of size -> `1024x1024`
- "square" -> `1024x1024`
- "portrait", "vertical", "tall" -> `1024x1536`
- "landscape", "horizontal", "wide" -> `1536x1024`
### Background Options (generation only)
- **auto** (default) - Model decides
- **transparent** - Transparent background (PNG/WebP output)
- **opaque** - Solid background
## API Key
The script checks for API key in this order:
1. `--api-key` argument (use if user provided key in chat)
2. `OPENAI_API_KEY` environment variable
If neither is available, the script exits with an error message.
## Filename Generation
Generate filenames with the pattern: `yyyy-mm-dd-hh-mm-ss-name.png`
**Format:** `{timestamp}-{descriptive-name}.png`
- Timestamp: Current date/time in format `yyyy-mm-dd-hh-mm-ss` (24-hour format)
- Name: Descriptive lowercase text with hyphens
- Keep the descriptive part concise (1-5 words typically)
- Use context from user's prompt or conversation
- If unclear, use random identifier (e.g., `x9k2`, `a7b3`)
Examples:
- Prompt "A serene Japanese garden" -> `2025-12-17-14-23-05-japanese-garden.png`
- Prompt "sunset over mountains" -> `2025-12-17-15-30-12-sunset-mountains.png`
- Prompt "create an image of a robot" -> `2025-12-17-16-45-33-robot.png`
- Unclear context -> `2025-12-17-17-12-48-x9k2.png`
## Image Editing
Both editing modes use the Image API (images.edit endpoint) with gpt-image-1.5 for reliable results.
### Without Mask (Full Image Edit)
When the user wants to modify an existing image without specifying exact regions:
1. Use `--input-image` parameter with the path to the image
2. The prompt should contain editing instructions (e.g., "make the sky more dramatic", "change to cartoon style")
3. A fully transparent mask is auto-generated, allowing the model to edit the entire image
### With Mask (Precise Inpainting)
When the user wants to edit specific regions:
1. Use `--input-image` parameter with the path to the image
2. Use `--mask` parameter with a PNG mask file
3. The mask should have transparent areas (alpha=0) where edits should occur
4. The prompt describes what should appear in the masked region
Common editing tasks: add/remove elements, change style, adjust colors, replace backgrounds, etc.
## Prompt Handling
**For generation:** Pass user's image description as-is to `--prompt`. Only rework if clearly insufficient.
**For editing:** Pass editing instructions in `--prompt` (e.g., "add a rainbow in the sky", "make it look like a watercolor painting")
Preserve user's creative intent in both cases.
## Output
- Saves PNG to current directory (or specified path if filename includes directory)
- Script outputs the full path to the generated image
- **Do not read the image back** - just inform the user of the saved path
## Examples
**Generate new image:**
```bash
uv run ~/.claude/skills/gpt-image-1-5/scripts/generate_image.py --prompt "A serene Japanese garden with cherry blossoms" --filename "2025-12-17-14-23-05-japanese-garden.png" --quality high --size 1536x1024
```
**Generate with transparent background:**
```bash
uv run ~/.claude/skills/gpt-image-1-5/scripts/generate_image.py --prompt "A cute cartoon cat mascot" --filename "2025-12-17-14-25-30-cat-mascot.png" --background transparent --quality high
```
**Edit existing image (full image):**
```bash
uv run ~/.claude/skills/gpt-image-1-5/scripts/generate_image.py --prompt "make the sky more dramatic with storm clouds" --filename "2025-12-17-14-27-00-dramatic-sky.png" --input-image "original-photo.jpg"
```
**Edit with mask (inpainting):**
```bash
uv run ~/.claude/skills/gpt-image-1-5/scripts/generate_image.py --prompt "a flamingo swimming" --filename "2025-12-17-14-30-00-lounge-flamingo.png" --input-image "lounge.png" --mask "mask.png"
```
© intellectronica · CC0-1.0 · intellectronica/agent-skills