youtube-seo

Generate SEO-optimized YouTube titles, descriptions, timecodes, and hashtags from video transcripts.

64|21|Updated Mar 5, 2026
One-click install
npx skills add https://github.com/AlekseiUL/sprut-agent-kit --skill youtube-seo-alekseiul
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: youtube-seo
Source: https://github.com/AlekseiUL/sprut-agent-kit/tree/main/skills/youtube-seo
Command: npx skills add https://github.com/AlekseiUL/sprut-agent-kit --skill youtube-seo-alekseiul

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires ffmpeg, and includes scripts (resource) components.

What problem does it solve?

YouTube creators often struggle to craft consistent, SEO-friendly metadata. This skill automates the generation of titles, descriptions, timecodes and hashtags from transcripts, saving time and improving discoverability.

Core Features & Use Cases

  • Generate SEO-friendly titles and descriptions tailored to video topics and audience
  • Create precise timecodes and structured sections mapped to transcript moments
  • Produce relevant hashtags and keywords aligned with YouTube best practices

Quick Start

Provide a video transcript or URL; the skill will generate ready-to-use YouTube metadata.

Frequently Asked Questions about youtube-seo

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

FAQPage Schema
How do I generate YouTube SEO metadata from a video transcript?

You can generate YouTube SEO metadata by providing a video transcript, which the skill uses to extract key points, structure timecodes, and insert relevant keywords for optimized titles, descriptions, and hashtags.

Can I automatically create timecodes and hashtags for YouTube videos?

Yes, you can automatically create precise timecodes and structured sections mapped to transcript moments, along with relevant hashtags aligned with YouTube best practices, directly from your video transcripts.

Does this YouTube SEO tool work with videos across different languages and topics?

Yes, the tool applies to videos across topics and languages, using transcripts to extract key points and generate structured metadata that supports discovery and engagement.

Do I need ffmpeg installed to generate descriptions and timecodes from transcripts?

Yes, you need ffmpeg installed in your environment, as it is a required dependency for the skill to process video transcripts and generate SEO-optimized YouTube metadata.

What's the best way to structure YouTube descriptions for better search discovery?

The best way to structure YouTube descriptions is by using generated metadata that extracts key points, structures precise timecodes, and inserts relevant keywords while respecting platform policies.

Why does my YouTube transcript need processing for SEO optimization?

Your YouTube transcript needs processing to transform raw text into structured, SEO-friendly metadata, saving time and improving your video's discoverability through optimized titles and descriptions.