GordenSun/GordenPPTSkill

AI-friendly PPT builder skill: 17 hand-polished Chinese PPTX templates + non-destructive text-only editing tools (python-pptx based). Pick a template, write...

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GordenSun/GordenPPTSkill has 3.5k+ stars and 300+ forks on GitHub, is written in Python, and was last pushed on Jun 22, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 56 minutes ago
Added to GitGenius on September 22nd, 2026
Created on May 27th, 2026
Open Issues & Pull Requests: 0 (+0)
GitHub issues: Enabled
Number of forks: 344
Total Stargazers: 3,669 (+2)
Total Subscribers: 12 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 2.7 hours
Mean response time: 17.7 hours
90th percentile: 34.0 hours
Tracked items: 10

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Issue Activity (beta)

Open issues: 0
New in 7 days: 0
Closed in 7 days: 0
Avg open age: N/A days
Stale 30+ days: 0
Stale 90+ days: 0

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Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

Gordenppptskill is a Python-based PowerPoint builder designed for programmatic presentation generation from templates.

The tool solves the problem of creating polished presentations without manual design work by providing a collection of hand-crafted Chinese PPTX templates paired with a text-only editing system. Users select a template, define their content changes in a JSON file, and the tool applies those edits while preserving the original layout and design. The approach uses python-pptx to perform non-destructive modifications, meaning the template structure remains intact and only text content is replaced according to the specifications in the edits file.

This tool suits developers and researchers who need to generate presentations programmatically and are comfortable working with JSON configuration files. It is particularly valuable for those building AI systems that need to output formatted presentations, since the JSON-based workflow integrates naturally with code generation pipelines. The project explicitly targets personal and research use cases. The collection of seventeen templates focuses on Chinese language presentations, making it most applicable to users working in that context.

Development activity shows consistent maintenance with regular commits addressing bugs and feature improvements. The project demonstrates responsiveness to user issues and pull requests, with maintainers actively reviewing and merging contributions. Work spans both template refinement and core tool functionality, indicating ongoing effort to improve both the template library and the underlying editing capabilities.