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wwe-dog/ppt-image2-editable-rebuild

Analysis updated 2026-05-18

51PythonAudience · generalComplexity · 2/5Setup · moderate

TLDR

A Codex AI assistant skill that rebuilds AI-generated slide mockup images into real, editable PowerPoint slides with text and shapes.

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What do people build with it?

USE CASE 1

Turn an AI-generated slide reference image into a real PowerPoint slide with editable text and shapes.

USE CASE 2

Rebuild a full slide deck by processing one reference image per slide through the skill.

USE CASE 3

Crop complex illustrations or icons from a reference image while rebuilding titles and text as native PPT elements.

What is it built with?

PythonCodexPowerPoint

How does it compare?

wwe-dog/ppt-image2-editable-rebuildcortex-trading-systems/polymarket-copy-trading-bot-clob-aigyj1201/zipenhancer
Stars515151
LanguagePythonPythonPython
Setup difficultymoderatehardmoderate
Complexity2/53/53/5
Audiencegeneralgeneraldeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 30min

Requires the Codex AI coding assistant environment and an image generation tool to first create the slide reference images.

The README does not state a license.

In plain English

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.

Copy-paste prompts

Prompt 1
Explain how ppt-image2-editable-rebuild splits a reference slide image into editable text and cropped visuals.
Prompt 2
Walk me through installing this Codex skill from GitHub and running it on a slide reference image.
Prompt 3
What background style should I use when generating reference images so this skill can crop them cleanly?
Prompt 4
Help me rebuild a 10-slide deck using this skill's workflow, one reference image at a time.

Frequently asked questions

What is ppt-image2-editable-rebuild?

A Codex AI assistant skill that rebuilds AI-generated slide mockup images into real, editable PowerPoint slides with text and shapes.

What language is ppt-image2-editable-rebuild written in?

Mainly Python. The stack also includes Python, Codex, PowerPoint.

What license does ppt-image2-editable-rebuild use?

The README does not state a license.

How hard is ppt-image2-editable-rebuild to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is ppt-image2-editable-rebuild for?

Mainly general.

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