gpt-image-gen
FeaturedUse when the user asks to generate OR edit an image via GPT/Codex (e.g. 「叫 gpt 生圖」「幫我用 gpt 生圖」「gpt 畫一個 X」「幫我去背」「把這張圖的背景去掉」). The skill drafts a Chinese + English prompt pair and waits for explicit approval. After approval it uses the host-native executor: Codex calls its built-in image_gen tool directly, while Claude Code keeps the Codex CLI background workflow. Supports text-to-image, img2img, and precise EDIT mode with preservation constraints and verification where local artifacts are available.
Install
Quality Score: 91/100
Skill Content
Details
- Author
- KerberosClaw
- Repository
- KerberosClaw/kc_ai_skills
- Created
- 5 months ago
- Last Updated
- 3 days ago
- Language
- Python
- License
- MIT
Integrates with
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parallel-imagegen
Run multiple built-in Codex image_gen calls concurrently by assigning each output to an independent codex exec process, with up to 12 active workers, isolated retries, and thread-evidence verification. Use for two or more independent raster generation or editing outputs, even when prompts, references, subjects, or styles differ. Do not use for one output, unresolved sequential dependencies, or an explicitly selected Images API / imagegen CLI workflow. 通过为每个输出启动独立 Codex 进程,并发生成或编辑两个 及以上互不依赖的位图;支持最多 12 个 Worker、失败隔离重试和线程证据验证。 不用于单张输出、尚未解决的前后依赖,或用户明确选择 Images API / imagegen CLI 的场景。
codex-image
Generate or edit images through Codex CLI using ChatGPT login, including reference images, batches, verified PNG output, timeouts, and recovery. Use for /codex-image or when the user specifically wants the Codex OAuth image workflow. Targets ChatGPT Images 2.5 where available; does not claim to select or verify a backend the CLI does not expose.
codex-image
Generate or edit images using Codex CLI's built-in gpt-image-2 via the user's ChatGPT Plus subscription (no API key, no extra cost). Use when the user asks to create, generate, or draw an image, illustration, icon, logo, banner, hero, mockup, diagram, or poster, or asks to edit/refine a previously generated image. Do NOT use for reading/viewing existing image files, writing image-handling code (img tags, resize scripts), or deleting images.