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A complete pipeline to convert YouTube videos into high-quality, SEO-optimized guide pages using Gemini AI.
Passed 20 of 24 test cases with the skill, and 5 of 24 without it.
and 13 more in the full report
15 fixed5 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 15 test cases the skill fixed. Same model, same prompt, with and without the skill.
I want to process the YouTube video at https://www.youtube.com/watch?v=3JZ_D3ELwOQ into a Next.js guide. Should I run node scripts/build-page.js --url or python? Give me the exact CLI execution line.
| Checked | Without skill | With skill |
|---|---|---|
| Specifies python resources/scripts/video_processor.py --url "https://www.youtube.com/watch?v=3JZ_D3ELwOQ". | Missed | Passed |
The instructions your model reads when the skill loads.
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/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.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.Install the required Python dependencies:
pip install -r resources/requirements.txt
Set your Gemini API key:
$env:GEMINI_API_KEY = "your_api_key_here"
From a YouTube URL:
python resources/scripts/video_processor.py --url "https://www.youtube.com/watch?v=VIDEO_ID"
test cases passed, vs 5 / 24 without
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