wwe-dog/ppt-image2-editable-rebuild — explained in plain English
Analysis updated 2026-05-18
Turn an AI-generated slide reference image into a real PowerPoint slide with editable text and shapes.
Rebuild a full slide deck by processing one reference image per slide through the skill.
Crop complex illustrations or icons from a reference image while rebuilding titles and text as native PPT elements.
| wwe-dog/ppt-image2-editable-rebuild | cortex-trading-systems/polymarket-copy-trading-bot-clob-ai | gyj1201/zipenhancer | |
|---|---|---|---|
| Stars | 51 | 51 | 51 |
| Language | Python | Python | Python |
| Setup difficulty | moderate | hard | moderate |
| Complexity | 2/5 | 3/5 | 3/5 |
| Audience | general | general | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires the Codex AI coding assistant environment and an image generation tool to first create the slide reference images.
This is a Codex skill, meaning a set of instructions that an AI coding assistant can follow as a slash command. Its purpose is to help turn AI-generated slide reference images into editable PowerPoint files. The workflow has two stages: first generate a visual mockup of each slide using an image generation tool, then use this skill to rebuild that mockup as a real PPTX file with editable text boxes, shapes, and layout elements. The core idea is that pasting a generated image directly into a slide produces a picture with no editable content. This skill instead treats the reference image as a blueprint and splits each slide into two kinds of content. Complex visual elements such as illustrations, icons, maps, and decorative backgrounds are kept as cropped screenshots taken from the reference image. Structural elements such as titles, body text, number cards, arrow callouts, and conclusion bars are rebuilt as native PowerPoint shapes that can be edited or restyled. The readme also documents guidance for generating better reference images: keep backgrounds clean and simple so that when sections are cropped out for visual assets, the text and card regions are easy to isolate. Complex or heavily textured backgrounds make the cropping step harder and leave residual artifacts in the output slide. The skill includes a Python script for cropping asset regions from reference images and an example set of 29 slide reference images with matching prompt documents. The repository and readme are written in Chinese. The tool is designed for use within the Codex AI coding assistant environment and is not a standalone desktop application.
A Codex AI assistant skill that rebuilds AI-generated slide mockup images into real, editable PowerPoint slides with text and shapes.
Mainly Python. The stack also includes Python, Codex, PowerPoint.
The README does not state a license.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly general.
This repo across BitVibe Labs
Verify against the repo before relying on details.