菜单
Generate one image edit from explicit input images and a prompt. Use for source cleanup, clean plates, object removal, or other FAL-backed image edits.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/neilsonnn/image-blaster --skill image-blast-image-edit命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
基于 SOC 职业分类
正在显示 SKILL.md
| name | image-blast-image-edit |
| description | Generate one image edit from explicit input images and a prompt. Use for source cleanup, clean plates, object removal, or other FAL-backed image edits. |
Create one edited image.
ls -a before reading generated state.--role for semantics such as plate, object-mask, or image-edit.--output-slug for the visible indexed artifact name, such as <source-slug>-plate.Run:
node .claude/scripts/image-edit/generate-edit.mjs \
--image "<input image path>" \
--prompt "<edit prompt>" \
--output-dir "<output directory>" \
--role "<role>" \
--output-slug "<output slug>"
Optional provider override: --provider nano-banana|gpt-image-2.
If request metadata records provider URLs but local image files are missing, fill them from the matching hidden request JSON:
node .claude/scripts/project/ensure-local-assets.mjs --from "<request-json-path>"
Final response: report input images, output image, request metadata, role, and prompt used.