How do I install the Openai Image Gen skill?

Run npx skillmds add majiayu000/openai-image-gen in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Openai Image Gen skill do?

Batch-generate images via OpenAI Images API. Random prompt sampler + `index.html` gallery. It is listed under Web & Frontend on SkillMD.

Is Openai Image Gen safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Openai Image Gen?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Openai Image Gen free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Openai Image Gen?

majiayu000 (@majiayu000) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Openai Image Gen by majiayu000 — Agent Skill

Name: Openai Image Gen
Rating: 4.5 (4 reviews)
Author: majiayu000

File contents

OpenAI Image Gen

Generate a handful of “random but structured” prompts and render them via the OpenAI Images API.

Run

python3 {baseDir}/scripts/gen.py
open ~/Projects/tmp/openai-image-gen-*/index.html  # if ~/Projects/tmp exists; else ./tmp/...

Useful flags:

# GPT image models with various options
python3 {baseDir}/scripts/gen.py --count 16 --model gpt-image-1
python3 {baseDir}/scripts/gen.py --prompt "ultra-detailed studio photo of a lobster astronaut" --count 4
python3 {baseDir}/scripts/gen.py --size 1536x1024 --quality high --out-dir ./out/images
python3 {baseDir}/scripts/gen.py --model gpt-image-1.5 --background transparent --output-format webp

# DALL-E 3 (note: count is automatically limited to 1)
python3 {baseDir}/scripts/gen.py --model dall-e-3 --quality hd --size 1792x1024 --style vivid
python3 {baseDir}/scripts/gen.py --model dall-e-3 --style natural --prompt "serene mountain landscape"

# DALL-E 2
python3 {baseDir}/scripts/gen.py --model dall-e-2 --size 512x512 --count 4

Model-Specific Parameters

Different models support different parameter values. The script automatically selects appropriate defaults based on the model.

Size

GPT image models (gpt-image-1, gpt-image-1-mini, gpt-image-1.5): 1024x1024, 1536x1024 (landscape), 1024x1536 (portrait), or auto
- Default: 1024x1024
dall-e-3: 1024x1024, 1792x1024, or 1024x1792
- Default: 1024x1024
dall-e-2: 256x256, 512x512, or 1024x1024
- Default: 1024x1024

Quality

GPT image models: auto, high, medium, or low
- Default: high
dall-e-3: hd or standard
- Default: standard
dall-e-2: standard only
- Default: standard

Other Notable Differences

dall-e-3 only supports generating 1 image at a time (n=1). The script automatically limits count to 1 when using this model.
GPT image models support additional parameters:
- --background: transparent, opaque, or auto (default)
- --output-format: png (default), jpeg, or webp
- Note: stream and moderation are available via API but not yet implemented in this script
dall-e-3 has a --style parameter: vivid (hyper-real, dramatic) or natural (more natural looking)

Output

*.png, *.jpeg, or *.webp images (output format depends on model + --output-format)
prompts.json (prompt → file mapping)
index.html (thumbnail gallery)

---name: openai-image-gendescription: Batch-generate images via OpenAI Images API. Random prompt sampler + `index.html` gallery.--- # OpenAI Image Gen Generate a handful of “random but structured” prompts and render them via the OpenAI Images API. ## Run ```bash python3 {baseDir}/scripts/gen.py open ~/Projects/tmp/openai-image-gen-*/index.html # if ~/Projects/tmp exists; else ./tmp/... ``` Useful flags: ```bash # GPT image models with various options python3 {baseDir}/scripts/gen.py --count 16 --model gpt-image-1 python3 {baseDir}/scripts/gen.py --prompt "ultra-detailed studio photo of a lobster astronaut" --count 4 python3 {baseDir}/scripts/gen.py --size 1536x1024 --quality high --out-dir ./out/images python3 {baseDir}/scripts/gen.py --model gpt-image-1.5 --background transparent --output-format webp # DALL-E 3 (note: count is automatically limited to 1) python3 {baseDir}/scripts/gen.py --model dall-e-3 --quality hd --size 1792x1024 --style vivid python3 {baseDir}/scripts/gen.py --model dall-e-3 --style natural --prompt "serene mountain landscape" # DALL-E 2 python3 {baseDir}/scripts/gen.py --model dall-e-2 --size 512x512 --count 4 ``` ## Model-Specific Parameters Different models support different parameter values. The script automatically selects appropriate defaults based on the model. ### Size - **GPT image models** (`gpt-image-1`, `gpt-image-1-mini`, `gpt-image-1.5`): `1024x1024`, `1536x1024` (landscape), `1024x1536` (portrait), or `auto` - Default: `1024x1024` - **dall-e-3**: `1024x1024`, `1792x1024`, or `1024x1792` - Default: `1024x1024` - **dall-e-2**: `256x256`, `512x512`, or `1024x1024` - Default: `1024x1024` ### Quality - **GPT image models**: `auto`, `high`, `medium`, or `low` - Default: `high` - **dall-e-3**: `hd` or `standard` - Default: `standard` - **dall-e-2**: `standard` only - Default: `standard` ### Other Notable Differences - **dall-e-3** only supports generating 1 image at a time (`n=1`). The script automatically limits count to 1 when using this model. - **GPT image models** support additional parameters: - `--background`: `transparent`, `opaque`, or `auto` (default) - `--output-format`: `png` (default), `jpeg`, or `webp` - Note: `stream` and `moderation` are available via API but not yet implemented in this script - **dall-e-3** has a `--style` parameter: `vivid` (hyper-real, dramatic) or `natural` (more natural looking) ## Output - `*.png`, `*.jpeg`, or `*.webp` images (output format depends on model + `--output-format`) - `prompts.json` (prompt → file mapping) - `index.html` (thumbnail gallery)

Frequently asked questions