openai-image-gen

steipete/clawdis · updated Apr 8, 2026

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$npx skills add https://github.com/steipete/clawdis --skill openai-image-gen
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summary

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

skill.md

OpenAI Image Gen

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

Run

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

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)
how to use openai-image-gen

How to use openai-image-gen on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add openai-image-gen
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/steipete/clawdis --skill openai-image-gen

The skills CLI fetches openai-image-gen from GitHub repository steipete/clawdis and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/openai-image-gen

Reload or restart Cursor to activate openai-image-gen. Access the skill through slash commands (e.g., /openai-image-gen) or your agent's skill management interface.

Security & Verification Notice

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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ 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.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.430 reviews
  • Ganesh Mohane· Dec 24, 2024

    openai-image-gen has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Ama Flores· Dec 24, 2024

    openai-image-gen is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Sophia Martin· Nov 23, 2024

    Registry listing for openai-image-gen matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Sakshi Patil· Nov 15, 2024

    Solid pick for teams standardizing on skills: openai-image-gen is focused, and the summary matches what you get after install.

  • Tariq Bansal· Nov 15, 2024

    openai-image-gen reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Sophia Sharma· Oct 14, 2024

    openai-image-gen fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Chaitanya Patil· Oct 6, 2024

    We added openai-image-gen from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Chinedu Perez· Oct 6, 2024

    I recommend openai-image-gen for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Piyush G· Sep 13, 2024

    openai-image-gen fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Omar Rao· Sep 1, 2024

    openai-image-gen is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

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