Generate a handful of “random but structured” prompts and render them via the OpenAI Images API.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionopenai-image-genExecute the skills CLI command in your project's root directory to begin installation:
Fetches openai-image-gen from steipete/clawdis and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate openai-image-gen. Access via /openai-image-gen in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Generate a handful of “random but structured” prompts and render them via the OpenAI Images API.
Note: Image generation can take longer than common exec timeouts (for example 30 seconds). When invoking this skill via OpenClaw’s exec tool, set a higher timeout to avoid premature termination/retries (e.g., exec timeout=300).
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
Different models support different parameter values. The script automatically selects appropriate defaults based on the model.
gpt-image-1, gpt-image-1-mini, gpt-image-1.5): 1024x1024, 1536x1024 (landscape), 1024x1536 (portrait), or auto
1024x10241024x1024, 1792x1024, or 1024x1792
1024x1024256x256, 512x512, or 1024x1024
1024x1024auto, high, medium, or low
highhd or standard
standardstandard only
standardn=1). The script automatically limits count to 1 when using this model.--background: transparent, opaque, or auto (default)--output-format: png (default), jpeg, or webpstream and moderation are available via API but not yet implemented in this script--style parameter: vivid (hyper-real, dramatic) or natural (more natural looking)*.png, *.jpeg, or *.webp images (output format depends on model + --output-format)prompts.json (prompt → file mapping)index.html (thumbnail gallery)Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
steipete/clawdis
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openai-image-gen has been reliable in day-to-day use. Documentation quality is above average for community skills.
openai-image-gen is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Registry listing for openai-image-gen matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: openai-image-gen is focused, and the summary matches what you get after install.
openai-image-gen reduced setup friction for our internal harness; good balance of opinion and flexibility.
openai-image-gen fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added openai-image-gen from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
I recommend openai-image-gen for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
openai-image-gen fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
openai-image-gen is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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