Status: Beta -- Actively developed. Core functionality is complete and tested. Breaking changes may occur before v1.0.
A comprehensive Claude Code skill for YouTube creators. Covers channel audits, video SEO, retention-engineered scripts, hook writing, thumbnail briefs, content strategy, content calendars, Shorts optimization, analytics interpretation, monetization planning, competitor research, cross-platform repurposing, upload metadata packages, and data-driven video idea generation.
39 files | 5,300+ lines of markdown | 1,300+ lines of Python | 14 sub-skills | 9 reference guides | 9 channel templates | 6 execution scripts
claude-youtube turns Claude Code into a YouTube growth consultant. Instead of generic advice, every recommendation is grounded in platform-specific benchmarks, algorithm mechanics, and data from your actual channel.
| Command | What It Does |
|---|---|
/youtube audit |
Full channel health audit across 4 dimensions (SEO, performance, content, monetization) with parallel agents |
/youtube seo |
Video SEO package: 3 title variants, full description, tags, chapters, hashtags, VideoObject schema |
/youtube script |
Retention-engineered script with hook/intro/content blocks, pattern interrupts every 60-90s, and CTA placement |
/youtube hook |
5 hook variants (shock, problem-agitation, story, curiosity-gap, social proof) with drop-off risk ratings |
/youtube thumbnail |
Thumbnail brief with 3 A/B variants, color hex codes, composition specs, and title-thumbnail synergy check |
/youtube strategy |
Channel positioning, content pillars (Hub/Hero/Help), niche viability, upload cadence, 30/60/90-day milestones |
/youtube calendar |
Monthly content calendar with per-video metadata, Shorts supplement plan, and seasonal CPM timing |
/youtube shorts |
Shorts production package: script with visual change markers, SEO metadata, performance prediction, loop setup |
/youtube analyze |
Analytics interpretation: funnel diagnosis, retention graph classification, traffic source health, priority actions |
/youtube repurpose |
Cross-platform package: Shorts clips, blog outline, LinkedIn post, X thread, email, podcast outline, community post |
/youtube monetize |
Revenue strategy across 7 streams, brand deal rate card, external funnel design, 90-day activation plan |
/youtube competitor |
Competitor analysis with 4 parallel agents: top videos, keyword gaps, format gaps, audience gaps |
/youtube metadata |
Copy-paste-ready upload package: titles, description, tags, chapters, cards, end screens, publish settings |
/youtube ideate |
10 ranked video ideas with keyword analysis, hook angles, thumbnail concepts, and revenue potential |
Built on the Agent Skills open standard with a 3-layer architecture:
skills/claude-youtube/
SKILL.md # Orchestrator (routing, context-gathering, quality gates)
sub-skills/ # 14 sub-skill instruction files
audit.md, seo.md, script.md, hook.md, thumbnail.md,
strategy.md, calendar.md, shorts.md, analyze.md,
repurpose.md, monetize.md, competitor.md, metadata.md, ideate.md
references/ # 9 data-grounded reference guides
algorithm-guide.md # 3-system architecture, testing cascade, CTR/AVD benchmarks
seo-playbook.md # Title/description/tags/chapters rules, VideoObject schema
retention-scripting-guide.md # Hook frameworks, pattern interrupts, CTA placement
thumbnail-ctr-guide.md # CTR by niche, face psychology, A/B testing, title formulas
shorts-playbook.md # Shorts algorithm, format specs, monetization
analytics-guide.md # Metrics hierarchy, funnel ratios, RPM/CPM by niche
monetization-guide.md # YPP tiers, 7 revenue streams, brand deal rates
repurposing-guide.md # Hub/Hero/Help model, cross-platform workflows
dataforseo-integration.md # DataForSEO MCP tool reference for live data
templates/ # 9 channel-type templates
education-channel.md, entertainment-channel.md, tutorial-channel.md,
vlog-channel.md, review-channel.md, commentary-channel.md,
niche-authority-channel.md, personal-brand-channel.md, shorts-first-channel.md
execution/ # 6 Python scripts for YouTube API integration
fetch_channel_data.py # Channel stats + recent videos (~16 quota units)
fetch_video_analytics.py # Private analytics via OAuth
search_competitor_videos.py # Competitor video search (100 units/search)
fetch_transcript.py # Transcript extraction via yt-dlp
utils/quota_tracker.py # 10K unit/day quota management
utils/youtube_auth.py # API key + OAuth 2.0 handler
- Orchestrator (
SKILL.md) routes your request to the right sub-skill based on trigger phrases - Context-gathering collects channel niche, size tier, and primary goal before any sub-skill runs
- Channel type detection loads the matching template (education, entertainment, tutorial, etc.) for niche-specific benchmarks
- Sub-skills load only the reference files they need, execute step-by-step, and produce structured output
- Quality gates verify specificity, data grounding, and completeness before delivery
- Claude Code CLI installed and configured
Clone this repo into your Claude Code skills directory:
git clone https://github.com/AgriciDaniel/claude-youtube.git
cp -r claude-youtube/skills/claude-youtube ~/.claude/skills/claude-youtubeOr symlink for development:
git clone https://github.com/AgriciDaniel/claude-youtube.git ~/claude-youtube
ln -s ~/claude-youtube/skills/claude-youtube ~/.claude/skills/claude-youtubeThe skill works without API credentials by accepting manual data input. For automated data fetching:
- Get a YouTube Data API v3 key from Google Cloud Console
- Set the environment variable:
export YOUTUBE_API_KEY="your-api-key-here"
- For private analytics (own channel), set up OAuth 2.0 credentials
When configured, the skill uses live data for keyword research, YouTube SERP analysis, trend intelligence, and competitive research. Without it, the skill falls back to WebSearch.
Add to ~/.claude/settings.json under mcpServers:
{
"dataforseo": {
"command": "npx",
"args": ["-y", "dataforseo-mcp-server"],
"env": {
"DATAFORSEO_USERNAME": "your-username",
"DATAFORSEO_PASSWORD": "your-password",
"ENABLED_MODULES": "SERP,KEYWORDS_DATA,DATAFORSEO_LABS,ONPAGE"
}
}
}Typical workflow costs $0.002-$0.04 per command. See DataForSEO pricing.
When configured, the /youtube thumbnail command generates actual thumbnail images using Gemini models instead of just text briefs.
{
"nanobanana": {
"command": "uvx",
"args": ["nanobanana-mcp-server"],
"env": {
"GEMINI_API_KEY": "your-gemini-api-key"
}
}
}After installation, use any command in Claude Code:
> /youtube audit
> /youtube ideate
> /youtube script "How to Build a PC in 2025"
> /youtube thumbnail
> /youtube seo
The skill will ask for any missing context (channel niche, size, goal) before running.
Commands chain naturally:
> Help me plan and script my next video about meal prep for beginners
This triggers ideate -> script -> metadata sequentially, passing output between each step.
All benchmarks and statistics in the reference guides are sourced and tagged:
- CTR benchmarks by niche -- Focus Digital, December 2025
- Retention data -- 10xCreator, Wistia, AIR Media-Tech
- Algorithm mechanics -- Retention Rabbit (150M+ minutes analyzed), vidIQ (5.08M channels)
- Shorts algorithm -- 35B views study, Tubefilter, Digital i
- Monetization rates -- YouTube Creator Academy, industry reports
- SEO rules -- 10xCreator (3M+ videos analyzed), Backlinko, HubSpot
- MrBeast methodology -- Validated at 100M+ views/video scale
Data points tagged with [2025] reflect 2024-2025 platform changes.
| Requirement | Required | Notes |
|---|---|---|
| Claude Code | Yes | Core dependency |
| Python 3.8+ | For execution scripts | Not needed if providing data manually |
| YouTube API key | No | Enables automated channel data fetching |
| DataForSEO MCP | No | Enables live keyword/trend data |
| NanoBanana MCP | No | Enables AI thumbnail generation |
This project is in beta. Issues, bug reports, and feature suggestions are welcome via GitHub Issues.
MIT License. See LICENSE for details.
Built by Agrici Daniel - AI Workflow Architect.
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