This Claude Code skill, claude-youtube, transforms Claude Code into a comprehensive YouTube growth consultant. It addresses the complexities of channel management, video optimization, and monetization by providing data-driven, platform-specific recommendations grounded in actual channel analytics and algorithm mechanics. The tool is designed for YouTube creators seeking to enhance their channel's performance, SEO, and revenue.

How It Works

The skill employs a 3-layer architecture built on the Agent Skills open standard. An orchestrator routes user requests to one of 14 specialized sub-skills, each focused on a specific YouTube task (e.g., SEO, scripting, analytics). These sub-skills dynamically load relevant data from 9 reference guides containing benchmarks, algorithm insights, and best practices. Optional integrations with the YouTube API, DataForSEO, and NanoBanana enable automated data fetching, live keyword/trend analysis, and AI-generated thumbnail creation, respectively. Channel type detection ensures niche-specific recommendations.

Quick Start & Requirements

• Installation: Clone the repository into your Claude Code skills directory: git clone https://github.com/AgriciDaniel/claude-youtube.git ~/.claude/skills/claude-youtube.
• Prerequisites: Claude Code CLI, Python 3.8+.
• Optional Dependencies: YouTube Data API v3 key (for automated data fetching), DataForSEO MCP (for live data), NanoBanana MCP (for AI thumbnail generation).
• Links: GitHub repository: https://github.com/AgriciDaniel/claude-youtube.

Highlighted Details

• Features 14 distinct commands, including /youtube audit for channel health, /youtube seo for video optimization packages, /youtube script for retention-engineered scripts, and /youtube monetize for revenue strategy.
• Utilizes parallel agents for complex tasks like competitor analysis and channel audits.
• Outputs structured data, such as A/B variants for titles and thumbnails, and detailed briefs.
• Reference data is sourced from industry reports and analyses (e.g., Focus Digital, 10xCreator, vidIQ) covering algorithm mechanics, SEO benchmarks, and monetization rates.

Maintenance & Community

• The project is currently in Beta and actively developed, with potential for breaking changes before v1.0.
• Authored by Agrici Daniel, an AI Workflow Architect.
• Community engagement is fostered through the AI Marketing Hub (2,800+ members), the author's blog, and YouTube channel.
• Contributions are welcomed via GitHub Issues.

Licensing & Compatibility

• The project is released under the MIT License, permitting broad use, including commercial applications.

Limitations & Caveats

As a Beta project, breaking changes may occur. Full automation requires configuring optional API keys and services, which may incur additional costs (e.g., DataForSEO, NanoBanana). Manual data input is an alternative if these services are not configured.