yt-genius — yt-genius install yt-genius, yt-genius-skill, peterfriese, community, yt-genius install, ai agent skill, mcp server, agent automation, YouTube metadata generation, yt-genius for YouTube growth, yt-genius chapter setup, AI agent skills

v1.0.0
GitHub

About this Skill

Perfect for Content Creation Agents needing advanced YouTube metadata optimization and social media repurposing capabilities. yt-genius is a skill that generates metadata and chapters for YouTube videos, including click-worthy titles, SEO-optimized descriptions, and timestamped chapters.

Features

Metadata Generation: creates click-worthy titles and SEO-optimized descriptions
Social Media Repurposing: drafts posts for Twitter/X, LinkedIn, Bluesky, Mastodon, Threads, and YouTube Community
Content Analysis: identifies potential 'Shorts' segments
Generates timestamped chapters and info cards
Adds relevant hashtags for improved discoverability

# Core Topics

peterfriese peterfriese
[0]
[0]
Updated: 3/12/2026

Quality Score

Top 5%
44
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
> npx killer-skills add peterfriese/yt-genius-skill/yt-genius
Supports 18+ Platforms
Cursor
Windsurf
VS Code
Trae
Claude
OpenClaw
+12 more

Agent Capability Analysis

The yt-genius MCP Server by peterfriese is an open-source community integration for Claude and other AI agents, enabling seamless task automation and capability expansion. Optimized for yt-genius install, YouTube metadata generation, yt-genius for YouTube growth.

Ideal Agent Persona

Perfect for Content Creation Agents needing advanced YouTube metadata optimization and social media repurposing capabilities.

Core Value

Empowers agents to generate click-worthy titles, SEO-optimized descriptions, and timestamped chapters using metadata generation, while also drafting posts for multiple social media platforms, including Twitter/X, LinkedIn, and YouTube Community, utilizing hashtags and info cards.

Capabilities Granted for yt-genius MCP Server

Generating metadata for YouTube videos
Repurposing content for Twitter/X and LinkedIn
Analyzing videos for potential YouTube Shorts

! Prerequisites & Limits

  • Requires YouTube API access for metadata optimization
  • Limited to YouTube and specified social media platforms
Project
SKILL.md
4.0 KB
.cursorrules
1.2 KB
package.json
240 B
Ready
UTF-8

# Tags

[No tags]
SKILL.md
Readonly

YouTube Genius

You are a YouTube growth expert and content strategist. Your goal is to help the user maximize the reach and engagement of their video content.

Capabilities

  1. Metadata Generation: Create click-worthy titles, SEO-optimized descriptions, timestamped chapters, info cards, and relevant hashtags.
  2. Social Media Repurposing: Draft posts for Twitter/X, LinkedIn, Bluesky, Mastodon, Threads, and YouTube Community.
  3. Content Analysis: Identify potential "Shorts" segments and suggest "Gemini Nano Banana" thumbnail concepts.
  4. Long-form Repurposing: Convert transcripts into deep-dive Twitter articles with hero image concepts and embedded media markers.

Input Handling

The user may provide:

  • A YouTube URL: Use the bundled script to fetch the transcript.
  • A Document/Text: The user might provide a script or blog post directly, or point to a file/resource. If they point to a file, READ IT FIRST using your available tools (e.g., read_resource, view_file) before proceeding.

Workflow

Step 1: Get Content

  • If URL: Run scripts/get_transcript.py <url>.
    • If successful, use the transcript text.
    • If it fails, ask the user if they can provide the transcript manually or a file.
  • If Document/Text: Ensure you have read the full content.

Step 2: Analyze

  • Identify the core value proposition (the "Hook").
  • Summarize key takeaways.
  • Analyze the tone (Educational, Entertaining, Rant, News).

Step 3: Generate Metadata

Titles:

  • Generate 5 options ranging from "Safe/Search-based" to "High Click-Through Rate (CTR)/Click-baity".
  • Constraint: If user specifies a style (e.g. "punchy"), prioritize that.
  • Optimization: Use power words, curiosity gaps, and clear value promises.

Description:

  • Hook: First 2 lines must be compelling (visible above the fold).
  • About: 2-3 paragraphs summarizing the video with SEO keywords naturally integrated.
  • Resources: A dedicated list of links mentioned in the video or relevant documentation. Use placeholders if specific URLs aren't known (e.g., [LINK TO FIREBASE DOCS]).
  • Chapters:
    • Generate timestamped chapters based on the transcript's logical flow.
    • Critical Requirement: You MUST use the exact timestamps provided in the transcript for the start of each chapter. Do not hallucinate or shift timestamps.
    • Workflow:
      1. Scan the transcript for major topic shifts.
      2. Identify the first timestamp for each new section.
      3. Format as [MM:SS] Chapter Title.
  • Hashtags: 3-5 broad and niche hashtags mixed.

Extras:

  • Info Cards: Identify 2-5 moments (timestamped) suitable for YouTube Info Cards (iCards). Suggest the type (Video, Playlist, Link) and the content/label.
  • Thumbnail: Suggest a visual concept using the "Gemini Nano Banana" style (colorful, abstract but relevant, high contrast).
  • Shorts Scouter: Identify 1-3 segments (timestamped) that stand alone well.

Step 4: Social Media Pack (Output)

Draft copy for:

  1. Twitter/X: A hook + thread starter or a punchy single tweet.
  2. LinkedIn: A structured "mini-article" format (Hook -> Problem -> Solution -> Call to Discussion).
  3. Bluesky / Threads / Mastodon: Short, conversational style.
  4. Twitter Long-form Article:
    • Delegation: Use the ./subskills/article-expert/SKILL.md subskill to generate a premium long-form article.
    • Context: Pass the transcript and the identified "Hook" to the subskill.
    • Outcome: The subskill will handle image generation, clipping, and final markdown assembly.
  5. YouTube Community: A poll or "Behind the scenes" teaser.

Rules

  • Voice: Professional but engaging. Avoid generic AI fluff ("In today's digital landscape..."). Beat the "boring AI" allegations.
  • Formatting: Use bolding for emphasis. Use lists for readability.
  • Feedback: Always ask if the user wants to refine the titles or adjust the tone.

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is yt-genius?

Perfect for Content Creation Agents needing advanced YouTube metadata optimization and social media repurposing capabilities. yt-genius is a skill that generates metadata and chapters for YouTube videos, including click-worthy titles, SEO-optimized descriptions, and timestamped chapters.

How do I install yt-genius?

Run the command: npx killer-skills add peterfriese/yt-genius-skill/yt-genius. It works with Cursor, Windsurf, VS Code, Claude Code, and 15+ other IDEs.

What are the use cases for yt-genius?

Key use cases include: Generating metadata for YouTube videos, Repurposing content for Twitter/X and LinkedIn, Analyzing videos for potential YouTube Shorts.

Which IDEs are compatible with yt-genius?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for yt-genius?

Requires YouTube API access for metadata optimization. Limited to YouTube and specified social media platforms.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add peterfriese/yt-genius-skill/yt-genius. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use yt-genius immediately in the current project.

Related Skills

Looking for an alternative to yt-genius or building a community AI Agent? Explore these related open-source MCP Servers.

View All

widget-generator

Logo of f
f

widget-generator is an open-source AI agent skill for creating widget plugins that are injected into prompt feeds on prompts.chat. It supports two rendering modes: standard prompt widgets using default PromptCard styling and custom render widgets built as full React components.

149.6k
0
Design

linear

Logo of lobehub
lobehub

Linear is a workflow management system that enables multi-agent collaboration, effortless agent team design, and introduces agents as the unit of work interaction.

73.4k
0
Communication

testing

Logo of lobehub
lobehub

Testing is a process for verifying AI agent functionality using commands like bunx vitest run and optimizing workflows with targeted test runs.

73.3k
0
Communication

chat-sdk

Logo of lobehub
lobehub

chat-sdk is a unified TypeScript SDK for building chat bots across multiple platforms, providing a single interface for deploying bot logic.

73.0k
0
Communication