/gpt-image-skill
Generate or edit images when the user names OpenAI, GPT Image, or a gpt-image model. Use the default image skill when no provider is named.
$ npx -y skills add feiskyer/codex-settings --skill gpt-image-skill --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/gpt-image-skill
Context preview
The summary Claude sees to decide when to auto-load this skill.
Generate or edit images when the user names OpenAI, GPT Image, or a gpt-image model. Use the default image skill when no provider is named.
SKILL.md
gpt-image-skill.SKILL.mdname: gpt-image-skill
description: Generate or edit images when the user names OpenAI, GPT Image, or a gpt-image model. Use the default image skill when no provider is named.
GPT Image Skill
Generate or edit images with OpenAI's GPT Image models through the bundled `gpt_image.py`.
Resolve the skill directory
Before running any command, resolve the absolute directory containing this `SKILL.md` and refer to it as `<skill-dir>`. Never assume the current working directory is the skill directory. Keep user input and output paths relative to the user's working directory unless the user requests another location.
Requirements
1. **OPENAI_API_KEY** in `~/.gpt-image.env` or the shell environment. 2. **OPENAI_API_BASE** (optional) for compatible endpoints such as Azure OpenAI or a proxy, in the same places. 3. **Python dependencies**: `python3 -m pip install -r "<skill-dir>/requirements.txt"`. 4. **Executable**: `<skill-dir>/gpt_image.py`.
Run it
Generate:
python3 "<skill-dir>/gpt_image.py" --prompt "Modern minimalist logo for a tech startup" \
--quality high --background transparent --output "logo.png"
Edit or combine references:
python3 "<skill-dir>/gpt_image.py" edit --prompt "Add a rainbow in the sky" \
--input photo.png --output "photo-with-rainbow.png"
`edit` accepts several `--input` files to composite multiple references into one image.
Options live on the subcommands, so read them with `generate --help` or `edit --help` — the bare `python3 "<skill-dir>/gpt_image.py" --help` only lists the two modes. That is where the current `--model`, `--size`, `--quality`, `--format`, `--background`, and `--n` values are; every one has a working default, so pass only what the request actually constrains. Parent directories in the output path are created automatically, and an omitted `--format` is inferred from the `.png`, `.jpg`/`.jpeg`, or `.webp` extension, defaulting to PNG.
Report the saved path when the run completes.
When a run fails
Check that `OPENAI_API_KEY` is set and, for a custom endpoint, that `OPENAI_API_BASE` is correct; confirm input images exist and are readable, the output directory is writable, and the model name is valid. Do not report success unless an image was saved locally.
Read more
name: gpt-image-skill description: Generate or edit images when the user names OpenAI, GPT Image, or a gpt-image model. Use the default image skill when no provider is named.
GPT Image Skill
Generate or edit images with OpenAI's GPT Image models through the bundled `gpt_image.py`.
Resolve the skill directory
Before running any command, resolve the absolute directory containing this `SKILL.md` and refer to it as `<skill-dir>`. Never assume the current working directory is the skill directory. Keep user input and output paths relative to the user's working directory unless the user requests another location.
Requirements
1. **OPENAI_API_KEY** in `~/.gpt-image.env` or the shell environment. 2. **OPENAI_API_BASE** (optional) for compatible endpoints such as Azure OpenAI or a proxy, in the same places. 3. **Python dependencies**: `python3 -m pip install -r "<skill-dir>/requirements.txt"`. 4. **Executable**: `<skill-dir>/gpt_image.py`.
Run it
Generate:
python3 "<skill-dir>/gpt_image.py" --prompt "Modern minimalist logo for a tech startup" \ --quality high --background transparent --output "logo.png"
Edit or combine references:
python3 "<skill-dir>/gpt_image.py" edit --prompt "Add a rainbow in the sky" \ --input photo.png --output "photo-with-rainbow.png"
`edit` accepts several `--input` files to composite multiple references into one image.
Options live on the subcommands, so read them with `generate --help` or `edit --help` — the bare `python3 "<skill-dir>/gpt_image.py" --help` only lists the two modes. That is where the current `--model`, `--size`, `--quality`, `--format`, `--background`, and `--n` values are; every one has a working default, so pass only what the request actually constrains. Parent directories in the output path are created automatically, and an omitted `--format` is inferred from the `.png`, `.jpg`/`.jpeg`, or `.webp` extension, defaulting to PNG.
Report the saved path when the run completes.
When a run fails
Check that `OPENAI_API_KEY` is set and, for a custom endpoint, that `OPENAI_API_BASE` is correct; confirm input images exist and are readable, the output directory is writable, and the model name is valid. Do not report success unless an image was saved locally.
给 Codex CLI 加上深度调研、图片生成、浏览器调试等能力,配好多模型切换,开箱即用。 仓库采用面向个人开发效率的默认配置;你可以整套使用,也可以按需选取 Profiles 或 Skills。使用前请确认模型提供商、权限和外部依赖,并避免提交真实密钥。
Other skills on codex-settings.
claude-skill
Delegate a task to the Claude Code CLI, typically a headless `claude -p` run. Use when the user wants the work executed through…
code-simplifier
Simplify existing code for clarity and maintainability without changing behavior. Use when asked to clean up or simplify code,…
deep-research
用 Codex CLI 子任务完成多来源深度调研并综合成带出处的报告。用于确实需要分头取证的研究,不用于单次查证或已给定材料的总结。
github-fix-issue
Investigate or fix a GitHub issue by number or URL. Keep investigation-only requests read-only.
github-review-pr
Review a GitHub pull request by number or URL for evidence-backed defects. Not for reviewing local uncommitted changes.

