26.2.21openclaw-viking/skills/openai-image-gen/SKILL.md
Batch-generate images via OpenAI Images API. Random prompt sampler + `index.html` gallery.
npx skillsauth add adoresever/agi_ananas openai-image-genInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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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)testing
Simulate a strict academic reviewer and produce a manuscript risk report without editing the draft. Use when the user asks to act as a reviewer, find weaknesses before submission, inspect evidence gaps, check overclaims, evaluate manuscript readiness, combine advisor notes or meeting minutes into revision priorities, or generate a 审稿人模拟检查 report.
development
Build or reorganize an academic paper project workspace with clear folders and local instructions for literature, drafts, feedback, extracted text, and output reports. Use when the user wants to set up a论文工作台, organize mixed manuscript materials, create project rules, or prepare a stable workflow before citation checking, evidence matching, reviewer simulation, or manuscript revision.
testing
Match manuscript claims against user-provided literature and produce a traceable claim-evidence table. Use when the user asks to add references, check whether PDFs support manuscript statements, find supporting or opposing evidence from a literature folder, distinguish strong support from background support, or create a 论点-证据匹配 report for an academic draft.
development
Twitter/X data via the 6551 API. Supports user profiles, tweet search, user tweets, follower events, deleted tweets, and KOL followers.