op7418/guizang-ppt-skill

AI-agent Skill for generating polished HTML slide decks: editorial magazine and Swiss layouts, image prompts, social covers, and a WebGL/low-power...

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Summary Information

Updated 46 minutes ago
Added to GitGenius on September 1st, 2026
Created on April 23rd, 2026
Open Issues & Pull Requests: 42 (+0)
GitHub issues: Enabled
Number of forks: 1,818
Total Stargazers: 25,810 (+4)
Total Subscribers: 62 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 1.7 hours
Mean response time: 4.8 days
90th percentile: 17.2 days
Tracked items: 11

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Only 8% of issues opened in the past year have been closed.

Charts & Analytics

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Issue Activity (beta)

Open issues: 25
New in 7 days: 1
Closed in 7 days: 0
Avg open age: 64 days
Stale 30+ days: 18
Stale 90+ days: 11

Recent activity

Opened in 7 days: 1
Closed in 7 days: 0
Comments in 7 days: 1
Events in 7 days: 1

Top labels

  • enhancement (3)
  • question (2)

Most active issues this week

Detailed Description

Guizang PPT Skill is an AI-agent skill for generating polished HTML slide decks with editorial magazine and Swiss design layouts, integrated image prompts, social media covers, and a WebGL-based presentation runtime.

The tool addresses the need to create professional presentation decks programmatically within AI agent environments like Claude Code and Codex. It generates single-file HTML presentations with horizontal page-turning navigation, eliminating the need for external presentation software. The skill includes two distinct visual systems: an editorial magazine style inspired by publications like Monocle, suited for narrative and personal expression, and a Swiss International style emphasizing grids, high-saturation accent colors, and extreme typographic contrast, suited for data-driven and methodological content. Beyond slides, it generates accompanying imagery and multi-platform social covers, with built-in rehearsal and presenter modes for live delivery.

Developers should choose this tool if they work within AI agent environments and need to generate presentations programmatically as part of automated workflows. It suits projects where presentation generation is a secondary output rather than the primary focus, particularly when working with Claude Code or similar agent systems. The tool is designed as a single-file deliverable, making it portable and easy to share. Those evaluating adoption should note that the project provides two distinct design systems to match different content types, and includes a checklist documenting implementation considerations from real-world use.

The project maintains active development with regular updates and refinements. Documentation includes comprehensive guidance on common implementation challenges. The tool is supported by multiple sponsors and receives ongoing iteration to improve its capabilities within agent environments.