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Batch-generate images via OpenAI Images API. Random prompt sampler + `index.html` gallery.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
When the agent's epistemic state (GCCRF) indicates low empowerment and falling certainty, hedges out confident absolutes ("definitely", "always", "100%") in outgoing messages.
Enforces PROTOCOLS.md "stay quiet in group chats" deterministically. Blocks outbound messages in Discord/Telegram/Slack/etc group channels when the bot was not @mentioned and recently spoke.
Forces a memory_search before the agent sends a message containing a factual assertion that has not yet been grounded this turn. Closes the citation-rate gap from ~40% to ~90%+.
When the agent calls memory_search with a relationship-shaped query ("who did I talk to about X"), redirect to the knowledge_graph backend where it will actually find the answer.
Deploy browser automations as scheduled, API-callable serverless Functions — plus stealth sessions, vault-backed login, captcha solving, and natural-language agent runs via the Notte CLI. Turns any browser flow into a deterministic Bitterbot-callable endpoint, ideal for crystallized skills + dream-engine cron schedules.
Display and control HTML content on connected Bitterbot nodes (Mac, iOS, Android) via the canvas host server. Use when presenting games, visualizations, dashboards, or interactive demos on a connected device, navigating canvas URLs, capturing canvas snapshots, or debugging canvas connectivity.
| 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 | {"bitterbot":{"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 robot in a garden" --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)