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upload-prepare

Validate bilingual audiobook video assets and construct a YouTube upload command.

Updated Dec 6, 2025
Search Tags:#quality assurance#checklist#validation#video#youtube#metadata#upload
One-click install
npx skills add https://github.com/smoreg/biLangGen --skill upload-prepare
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: upload-prepare
Source: https://github.com/smoreg/biLangGen/tree/main/.claude/skills/upload-prepare
Command: npx skills add https://github.com/smoreg/biLangGen --skill upload-prepare

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Uploading a video to YouTube requires careful checks of files, languages, metadata, and commands. This Skill provides a comprehensive pre-upload validation and checklist, preventing errors, ensuring quality, and saving you from frustrating re-uploads.

Core Features & Use Cases

  • Comprehensive File Validation: Verifies the existence and integrity of all required files, including video output, background images, thumbnails, and wordcard audio.
  • Language Accuracy Verification: Confirms correct source and target languages by sampling translations from the middle of the book, ensuring linguistic quality.
  • Automated Metadata Generation: Seamlessly generates optimized YouTube titles, descriptions, and tags by invoking the youtube-metadata skill.
  • Upload Command Construction: Builds the full youtube_upload.py command, including optimal premiere times and privacy settings, ready for execution.
  • Use Case: Before publishing your latest bilingual audiobook video, run this Skill to get a detailed checklist confirming all assets are ready, translations are accurate, metadata is optimized, and the upload command is correctly formatted, ensuring a smooth and error-free launch.

Quick Start

Prepare the 'nabokov_uzhas_ru_en' project for YouTube upload and show me the checklist.

Frequently Asked Questions about upload-prepare

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I validate a video before uploading to YouTube?▼

Video validation checks file integrity, languages, metadata, and assets before upload. This Skill verifies video output, background images, thumbnails, wordcard audio, and confirms source and target languages by sampling translations from the book's middle, then generates a readiness checklist and upload command.

How do I verify translations are correct in a bilingual video project?▼

Language verification samples translations from the middle of the book to confirm source and target languages are accurate. This Skill compares those samples against your project configuration, catching language mismatches before YouTube publication and ensuring linguistic quality.

Can I automate YouTube metadata generation and upload command creation?▼

Yes. This Skill invokes automated metadata generation to create optimized titles, descriptions, and tags, then constructs the complete youtube_upload.py command with optimal premiere times and privacy settings, ready for execution without manual formatting.

What files do I need prepared before running a YouTube upload check?▼

Prepare your project directory with video output file, background images, thumbnail image, wordcard audio files, and book content for middle-section translation sampling. This Skill validates all assets exist and are intact, flagging missing or corrupted files before upload.

Does this work for bilingual audiobook videos only?▼

This Skill is designed for bilingual audiobook video uploads with language verification via middle-book translation sampling. It validates dual-language projects with wordcard assets and comprehensive checklists, optimized for that workflow rather than single-language or non-audiobook content.

Why should I use a pre-upload checklist instead of uploading directly?▼

Pre-upload validation prevents costly re-uploads by catching file errors, language mismatches, missing metadata, and asset corruption upfront. A comprehensive checklist confirms all requirements are met, saves debugging time, and ensures quality before YouTube publication.

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