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Alskai image2

Skill Albert-Lsk/alskai-image2

Generate images using OpenAI's gpt-image-2 model. MUST trigger when (a) the user invokes the `/image2` slash command, or (b) the user's message begins with the literal token "image2" (case-insensitive) followed by a prompt describing the desired image. Examples that SHOULD trigger this skill: "/image2 a cyberpunk cat", "image2 荷兰橙色的黑胶唱片机", "IMAGE2 poster design --size 1024x1536", "/Image2 sunset over Tokyo". Do NOT trigger for: discussions about the gpt-image-2 model itself without a generation request, requests for other image models (DALL-E, Midjourney, Nano Banana, Stable Diffusion), or image editing/analysis tasks that do not require new generation.From its SKILL.md

Install
npx -y skills add Albert-Lsk/alskai-image2

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

3 things to look at

  • reads credentialsReads from 2 credential sources: `OPENAI_API_KEY` and 1 more.
  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
  • runs commandsInstructs the agent to run 1 command, including `python "${CLAUDE_PROJECT_DIR:-.}/.claude/skills/image2/scripts/generate.py" --prompt "<解析出的 prompt>" [--size <size>] [--n <n>] [--quality <quality>]`.

SKILL.md

3.1 KB, 862 tokens by cl100k_base, as published. Nobody here has run it

image2 — OpenAI gpt-image-2 图像生成

执行步骤

Step 1: 解析输入

从用户消息中提取 prompt。处理规则:

  1. 去掉开头的 /image2 或 image2 (case-insensitive)
  2. 从尾部识别并剥离以下 flag(其余部分即为 prompt):
    • --size <WxH> — 尺寸,允许值 1024x1024 / 1536x1024 / 1024x1536
    • --n <1-4> — 生成张数
    • --quality <low|medium|high> — 质量档
  3. 如果用户只输入了 /image2 或 image2 而没有 prompt,不要调用脚本,直接询问"你想生成什么内容的图片?"

Step 2: 调用脚本

使用 Bash 工具执行:

python "${CLAUDE_PROJECT_DIR:-.}/.claude/skills/image2/scripts/generate.py" \
  --prompt "<解析出的 prompt>" \
  [--size <size>] [--n <n>] [--quality <quality>]

说明:

  • 路径中的 ${CLAUDE_PROJECT_DIR:-.} 让 skill 在任意工作目录都能找到脚本;如果 Claude Code 没有注入此变量,默认从当前目录查找
  • 只传递用户实际指定的 flag,其余让脚本使用默认值
  • 不要 把 API key 作为参数传给脚本,脚本自己会从环境或 .env 读取

Step 3: 展示结果

脚本成功时会在 stdout 打印每张图片的绝对路径,每行一个。拿到路径后:

  1. 用 Markdown 图片语法展示给用户: ![image2 output](<路径>)
  2. 在图片下方简短告知保存位置,例如:"已保存到 ./image2_outputs/,共 2 张。"
  3. 不要 重复复述用户的 prompt,也不要加多余的说明文字

脚本失败时(非 0 退出码),把 stderr 的错误信息原样转达给用户,并给出具体的排查建议(参见 README 的故障排查章节)。

约束

  • 这个 skill 只负责生图,不处理图生图/图像编辑/图像分析。如果用户要求这些,礼貌说明本 skill 不支持,并建议他们直接调用 OpenAI 的 /v1/images/edits 端点或使用其他工具。
  • 不要在用户没有明确要求时,擅自修改或"优化"用户的 prompt。ALSKai 的原则是让用户控制创作,skill 只做执行。
  • 如果用户同时指定了超出支持范围的参数(例如 --size 2048x2048),提示正确的允许值,不要静默回退。

上下文

  • 默认输出目录: ./image2_outputs/(相对于 Claude Code 当前工作目录)
  • API key 来源优先级: 环境变量 OPENAI_API_KEY > skill 目录下的 .env 文件
  • 该 skill 的完整使用文档在 ./README.md

What ships with it: 7 files

11.9 KB alongside SKILL.md, 1 of them executable

scripts/

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.