菜单
Batch-generate images via OpenAI Images API. Random prompt sampler + `index.html` gallery.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Work with Bitrix24 (Битрикс24) via REST API and MCP docs: CRM, tasks, calendar, chat, channels, open lines, projects, timeman, drive, org structure, feed, and scenario workflows in Russian and English.
Use for SendForSign document-signing workflows via API: create/send/sign contracts, manage templates/placeholders/recipients/webhooks/clients/users, upload/download documents, and handle Russian and English requests.
Research a topic from the last 30 days. Also triggered by 'last30'. Sources: Reddit, X, YouTube, Hacker News, Polymarket, web. Become an expert and write copy-paste-ready prompts.
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
Best practices for Remotion - Video creation in React
Create and edit Excalidraw diagrams programmatically. Use when the user asks to create diagrams, flowcharts, architecture diagrams, wireframes, or any visual drawings in Excalidraw format (.excalidraw files).
| name | openai-image-gen |
| description | Batch-generate images via OpenAI Images API. Random prompt sampler + `index.html` gallery. |
| homepage | https://platform.openai.com/docs/api-reference/images |
| metadata | {"eggent":{"emoji":"🖼️","requires":{"bins":["python3"],"env":["OPENAI_API_KEY"]},"primaryEnv":"OPENAI_API_KEY","install":[{"id":"python-brew","kind":"brew","formula":"python","bins":["python3"],"label":"Install Python (brew)"}]}} |
Generate a handful of “random but structured” prompts and render them via the OpenAI Images API.
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)