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image-to-editable-ppt

Convert screenshots, slide images, UI mockups, infographics, posters, or uploaded images into editable PowerPoint decks with extracted/cropped raster assets, editable text boxes and shapes, plus VBA macro code that reconstructs the slide layout. Use when the user asks to send an image to AI and get a PPT/PPTX, editable PowerPoint, VBA macro, cropped image assets folder, screenshot material folder, or image-to-slide reconstruction.

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Quellinformationen

Repository
Hisn00w/image-to-editable-ppt
Letzte Quellaktivität
23. Mai 2026 um 13:13
Erkannte Sprache von SKILL.md
Englisch
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Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
image-to-editable-ppt
description
Convert screenshots, slide images, UI mockups, infographics, posters, or uploaded images into editable PowerPoint decks with extracted/cropped raster assets, editable text boxes and shapes, plus VBA macro code that reconstructs the slide layout. Use when the user asks to send an image to AI and get a PPT/PPTX, editable PowerPoint, VBA macro, cropped image assets folder, screenshot material folder, or image-to-slide reconstruction.
# Image To Editable PPT ## Core Promise Convert each source image into a PowerPoint slide that is editable where practical: text becomes text boxes, simple geometry becomes PowerPoint shapes, and complex visual areas remain cropped PNG/JPG assets placed at the matching coordinates. Always deliver the PPTX, VBA macro code, and a cropped-material folder. Use this skill together with the `presentations` skill whenever creating or editing `.pptx` files. ## Required Source Image Access Before making a PPT or claiming any crop, confirm the user has provided an actual readable image file path, not only a chat preview. If the image is only visible in chat and no local path/file data is available to tools, tell the user: ```text 我能看到聊天里的图片预览,但代码工具不能读取它的原始像素文件,所以不能真实裁剪。请把图片保存到当前工作目录或你指定的文件夹,并告诉我完整文件路径,例如: <你的工作目录>/source.png 然后我会从这个文件里裁剪素材并生成 PPT/VBA。 ``` Do not proceed with exact cropping until the path exists and can be read. ## Output Contract Create a delivery folder named after the task, with this structure: ```text task-name/ ├── pptx/ │ └── editable_rebuild.pptx ├── vba/ │ ├── rebuild_from_assets.bas │ └── README_import.txt ├── assets/ │ ├── source/ │ └── crops/ ├── analysis/ │ ├── image_map.json │ └── reconstruction_notes.md └── qa/ └── render_check.png ``` The PowerPoint must open normally without requiring the VBA macro. The macro is an extra reconstruction artifact for users who want to run or modify the layout in PowerPoint VBA. ## Workflow 1. Inspect each uploaded image before coding. - First confirm the actual image file is available on disk or in the tool context. If only a chat-rendered preview is visible and no source file path/data is accessible, stop and ask the user to provide the original image file or a local path before making the PPT or claiming any exact crops. - Identify canvas size, aspect ratio, visible margins, background style, text regions, repeated layout grids, charts, icons, logos, photos, screenshots, and decorative shapes. - Choose slide size from the image aspect ratio. Use wide `13.333 x 7.5 in` for 16:9 images unless the source ratio clearly differs. 2. Decide editability by region. - Rebuild editable text as native text boxes. - Rebuild simple fills, strokes, lines, arrows, rectangles, circles, badges, and separators as native shapes. - Crop and embed complex regions: photos, product screenshots, maps, charts with dense marks, logos, illustrations, textures, gradients that are too costly to reproduce, and any element where fidelity matters more than editability. - If OCR is uncertain, keep the crop behind or beside an editable text approximation and note uncertainty in `reconstruction_notes.md`. 3. Extract assets. - Save the original images in `assets/source/`. - Save every raster-only region as `assets/crops/slide##_element##_name.png`. - Keep crop filenames stable and referenced by both the PPTX creation code and the VBA macro. - Record coordinates in `analysis/image_map.json` using source pixels plus normalized slide coordinates. 4. Build the PPTX. - Prefer the `presentations` skill and its render/verify workflow for PPTX generation. - Ensure text is editable, layered correctly, and sized to avoid overflow. - Use embedded crops only for raster regions, not for the whole slide unless the user explicitly asks for screenshot-only output. - Keep the original image as a temporary reference only if useful; remove or hide it before final delivery unless asked to include it. 5. Generate VBA. - Read `references/vba_powerpoint_patterns.md` when writing the macro. - Create `vba/rebuild_from_assets.bas` with a `BuildEditableDeckFromAssets` entry point. - Use relative asset paths when possible, or a `PickAssetFolder` helper when PowerPoint cannot resolve relative paths reliably. - Macro must create slide size, backgrounds, shapes, text boxes, image placements, and z-order in the same order as the PPTX. 6. Verify. - Render the PPTX and compare visually against the original image. - Check that major text blocks are selectable/editable in PowerPoint, not flattened into a single screenshot. - Run `scripts/validate_delivery.py <delivery-folder>` before final response. - Mention any areas intentionally preserved as crops. ## Helper Scripts Use these scripts from this skill directory: ```bash python scripts/init_image_ppt_project.py --out <delivery-folder> <image1> [image2 ...] python scripts/validate_delivery.py <delivery-folder> ``` `init_image_ppt_project.py` creates the required folder tree and a starter `analysis/image_map.json` with image dimensions. `validate_delivery.py` checks that the expected PPTX, VBA, source images, crop folder, and analysis files exist. ## Quality Rules - Never deliver only a flattened screenshot PPT unless the user asks for that shortcut. - Never describe a generated or approximated visual as a crop from the source image. Exact crops require the original image file or pixel data. - Preserve visual fidelity by cropping hard raster regions instead of hallucinating dense graphics. - Keep all visible text either editable or explicitly documented as a crop when OCR/reconstruction is unreliable. - Match alignment, spacing, colors, and hierarchy closely enough that the rendered slide can be compared against the source image. - Use Chinese filenames or comments only when the user wants Chinese-facing deliverables; otherwise keep code and paths ASCII-safe.
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