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NanoBanana-PPT-Skills

op7418/NanoBanana-PPT-Skills

AI-powered tool for automatic high-quality PPT image and video generation

GraphCanon updated Oct 10, 2026 · GitHub synced Oct 10, 2026

10views this month

3.3k stars348 forksLast push Jan 19, 2026 Python

Decision brief

NanoBanana-PPT-Skills is an AI-powered tool that automatically generates high-quality images and videos for presentations with smart transitions and interactive playback.

Pricing:
unknown - Pricing information not available
Requirements:
Requires Google AI API key for image generation. Optional access to Kling AI API and FFmpeg for video transitions.

Observed Jul 17, 2026 · Source: enrich:decision_facts

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Maintenance and security

Full trust report
Maintenance
Slowing (264d since push)
As of Oct 10, 2026
Provenance
Not a fork · Personal account
As of Oct 10, 2026
Security (OSV)
No lockfile
As of Jul 12, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install NanoBanana-PPT-Skills
PyPI

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

NanoBanana PPT Skills is an AI-driven tool that can automatically generate high-quality images and videos for presentations with smart transitions and interactive playback.

Capability facts

Languages
python

Source: github.language · Oct 10, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Oct 10, 2026)

2. 创建 Python 虚拟环境:
Source link

Tags

README

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 <div align="center" 创作者 : 歸藏 效果演示 • 功能特性 • 一键安装 • 作为 Skill 使用 • 使用指南 • 视频功能 • 架构文档 • 常见问题 </div 🎬 效果演示 <div align="center" https://github.com/user attachments/assets/b394de21 2848 489a 8d33 a8e262e60f60 AI 自动生成 PPT...

For agents

This page has a .md twin and JSON over the API.

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