op7418/NanoBanana-PPT-Skills

NanoBanana PPT Skills 基于 AI 自动生成高质量 PPT 图片和视频的强大工具,支持智能转场和交互式播放

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Summary Information

Updated 3 hours ago
Added to GitGenius on September 21st, 2026
Created on January 9th, 2026
Open Issues & Pull Requests: 7 (+0)
GitHub issues: Enabled
Number of forks: 347
Total Stargazers: 3,269 (+0)
Total Subscribers: 8 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 17.2 hours
Mean response time: 19.4 hours
90th percentile: 28.4 hours
Tracked items: 3

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Issue Activity (beta)

Open issues: 4
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 157 days
Stale 30+ days: 4
Stale 90+ days: 4

Recent activity

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

NanoBanana PPT Skills is an AI-driven tool that automatically generates high-quality PowerPoint presentations with images, videos, and interactive playback.

The tool solves the problem of manually creating presentation slides by automating the entire workflow from document analysis to video export. It analyzes input documents to extract key points and structure content, generates presentation images using Google's Nano Banana Pro image generation, creates smooth transition videos between slides using Keling AI, and compiles everything into a complete video with interactive playback capabilities. The tool supports two built-in visual styles—a gradient frosted glass aesthetic with 3D effects for tech and business presentations, and a vector illustration style with warm flat design for education and creative pitches.

The tool suits developers and content creators who need to produce polished presentations quickly without manual design work. It works best for documents that can be structured into slide-based content and benefits from AI-generated visuals. The project is designed to be modular and extensible, allowing users to add custom visual styles beyond the two included defaults. It integrates with Claude Code as a skill, enabling automated installation and use within that environment.

Development activity shows consistent engagement with the codebase through regular updates and refinements to core functionality. The project maintains active documentation including architecture specifications and frequently asked questions sections. The tool has evolved to include substantial video generation features in recent iterations, indicating ongoing feature development beyond the initial image generation capabilities.