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youtube-content-gen

Skill321 starsChanged 7 months agoMITView on GitHub

A complete pipeline to convert YouTube videos into high-quality, SEO-optimized guide pages using Gemini AI.

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  • Installs packages

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Files
SKILL.md

YouTube Content Generator

A "video-to-page" pipeline that automates the creation of high-quality guide pages from YouTube videos. It extracts transcripts, analyzes content with Gemini AI, and generates Next.js pages with SEO best practices.

Resources Included

Scripts (resources/scripts/)

  • video_processor.py: The main entry point. Orchestrates the flow.
  • transcript_extractor.py: Wraps youtube-transcript-api to get subtitles.
  • content_analyzer.py: Uses Gemini API to understand video content and structure the page.
  • page_generator.py: Renders Jinja2 templates into .tsx and .module.css files.
  • image_handler.py: Downloads and optimizes video thumbnails.

Templates (resources/templates/)

  • page.tsx.j2: Next.js page template with built-in Schema.org, responsive video embed, and SEO metadata.
  • page.module.css.j2: Matching CSS module for the generated page.

Usage

1. Installation

Install the required Python dependencies:

pip install -r resources/requirements.txt

Set your Gemini API key:

$env:GEMINI_API_KEY = "your_api_key_here"

2. Generate a Page

From a YouTube URL:

python resources/scripts/video_processor.py --url "https://www.youtube.com/watch?v=VIDEO_ID"

From a Keyword (Auto-Search):

python resources/scripts/video_processor.py --keyword "game topic to search"

The script will:

  1. Analyze the video.
  2. Generate a new page in app/guides/[topic-slug]/.
  3. Download images to public/images/guides/[topic-slug]/.
  4. Print a report.

3. Verify

Run the build to ensure everything is correct:

npm run build

Download now (ZIP)

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