Individual skill
图片图层拆分
按用户指定的主体或区域拆分图片图层，并把结果回写到画布。
backend/builtin/图片图层拆分/SKILL.md
Source commit 4d25e4a547fccdf8bf9bded53939a3378708ebb6
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Instructions only
- Last checked
- Nov 9, 2026
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Repository context
- Repository stars (not skill ratings)
- 1,731
- Repository last updated
- Nov 8, 2026
- License
- MIT
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- engineering Derived category
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SKILL.mdcore · 1,269 bytes
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# 图片图层拆分
1. 先用 canvas_get_state 读取源图片。用户没有提供拆分对象时，使用 ask_user 让用户选择框选区域或文字描述，不要自行猜测。
2. 框选确认后，检查原图和带框预览，逐项用自然语言命名要提取的对象；不要把坐标写进 prompt，也不要把带框预览当成最终图。
3. 调用 generate_media，mode=image，原图作为第一张 referenceNode，prompt 说明需要独立输出的图层及“保持外观、只提取指定对象、透明背景”。使用已配置的图层拆分模型或用户指定模型。
4. 每个成功输出都创建独立图片节点，按拆分顺序排列并连回源图；源图保持不变。部分失败时保留成功图层并明确报告失败项。
5. 生成、下载、持久化和审批全部复用宿主现有链路，不直接访问第三方 API。