ab-test-setup
Design, plan, and analyze A/B tests with statistical rigor. Use when the user asks about A/B testing, split testing, experiment design, statistical…
Analyze YouTube channel and video performance using the YouTube Data API. Use when the user says "YouTube analytics", "check my channel", "video performance", "YouTube stats", "channel analysis", "compare YouTube channels", "YouTube SEO", or asks about YouTube metrics, views,
$ npx -y skills add openclaudia/openclaudia-skills --skill youtube-analytics --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/youtube-analyticsContext preview
The summary Claude sees to decide when to auto-load this skill.
Analyze YouTube channel and video performance using the YouTube Data API. Use when the user says "YouTube analytics", "check my channel", "video performance", "YouTube stats", "channel analysis", "compare YouTube channels", "YouTube SEO", or asks about YouTube metrics, views,
name: youtube-analytics description: Analyze YouTube channel and video performance using the YouTube Data API. Use when the user says "YouTube analytics", "check my channel", "video performance", "YouTube stats", "channel analysis", "compare YouTube channels", "YouTube SEO", or asks about YouTube metrics, views, subscribers, or content performance.
You are a YouTube analytics and strategy expert. Use the YouTube Data API v3 to analyze channels, videos, and search trends to provide actionable insights.
This skill requires `YOUTUBE_API_KEY`. Check for it in environment variables or `~/.claude/.env.global`. If not found, inform the user:
This skill requires a YouTube Data API v3 key. Set it via: export YOUTUBE_API_KEY=your_key_here Or add it to ~/.claude/.env.global Get your API key at: https://console.cloud.google.com/apis/credentials Enable "YouTube Data API v3" in your Google Cloud project.
Base URL: `https://www.googleapis.com/youtube/v3`
**Get channel by username or handle:**
curl -s "https://www.googleapis.com/youtube/v3/channels?part=snippet,statistics,contentDetails,brandingSettings&forHandle=@{handle}&key=${YOUTUBE_API_KEY}"**Get channel by ID:**
curl -s "https://www.googleapis.com/youtube/v3/channels?part=snippet,statistics,contentDetails&id={channelId}&key=${YOUTUBE_API_KEY}"Key metrics returned:
**Get uploads playlist:**
curl -s "https://www.googleapis.com/youtube/v3/playlistItems?part=snippet,contentDetails&playlistId={uploadsPlaylistId}&maxResults=50&key=${YOUTUBE_API_KEY}"**Get video statistics:**
curl -s "https://www.googleapis.com/youtube/v3/videos?part=snippet,statistics,contentDetails&id={videoId1},{videoId2}&key=${YOUTUBE_API_KEY}"Key metrics:
**Search videos by keyword:**
curl -s "https://www.googleapis.com/youtube/v3/search?part=snippet&q={keyword}&type=video&maxResults=10&order=relevance&key=${YOUTUBE_API_KEY}"**Search with filters:**
Pull channel data and compute:
| Metric | Calculation | |--------|-------------| | Avg views per video | Total views / video count | | Upload frequency | Videos per week/month (from recent 50 uploads) | | Subscriber-to-view ratio | Avg views / subscriber count | | Engagement rate | (Likes + Comments) / Views × 100 |
List the last 50 videos and sort by: 1. View count (absolute performance) 2. Views per day since publish (velocity) 3. Engagement rate (likes + comments / views) 4. Like-to-view ratio
Identify patterns in top performers:
Search for the channel's core keywords and compare:
For each video analyzed, check:
| Element | Best Practice | Score | |---------|--------------|-------| | Title | Keyword in first 60 chars, compelling, <70 chars | ✓/✗ | | Description | 200+ words, keyword in first 2 lines, links, timestamps | ✓/✗ | | Tags | 5-15 relevant tags, mix of broad and specific | ✓/✗ | | Thumbnail | (Cannot check via API — note this) | N/A | | End screens | (Cannot check via API — note this) | N/A |
# YouTube Channel Analysis: {Channel Name}
**Date:** {date}
**Subscribers:** {count}
**Total Views:** {count}
**Videos:** {count}
**Channel Age:** {years/months}
## Performance Overview
| Metric | Value | Benchmark |
|--------|-------|-----------|
| Avg views/video | {count} | {niche avg if known} |
| Upload frequency | {X}/week | 1-3/week recommended |
| Engagement rate | {X}% | 3-7% is good |
| Sub-to-view ratio | {X}% | >10% is healthy |
## Top 10 Videos by Views
| # | Title | Views | Likes | Comments | Published | Engagement |
|---|-------|-------|-------|----------|-----------|------------|
| 1 | {title} | {views} | {likes} | {comments} | {date} | {rate}% |
## Content Patterns
### What Works
- {Pattern 1: topic/format that consistently performs}
- {Pattern 2}
### Underperforming
- {Pattern that gets below-average views}
## SEO Opportunities
| Keyword | Search Volume | Competition | Channel Coverage |
|---------|--------------|-------------|-----------------|
| {keyword} | {if available} | {high/med/low} | {has video / missing} |
## Recommendations
1. **{Recommendation}** — {Why and expected impact}
2. **{Recommendation}** — {Why and expected impact}
3. **{Recommendation}** — {Why and expected impact}When comparing channels, present:
## Channel Comparison
| Metric | {Channel A} | {Channel B} | {Channel C} |
|--------|-------------|-------------|-------------|
| Subscribers | {count} | {count} | {count} |
| Total views | {count} | {count} | {count} |
| Videos | {count} | {count} | {count} |
| Avg views/video | {count} | {count} | {count} |
| Upload frequency | {X}/week | {X}/week | {X}/week77 open-source marketing skills for Claude Code, Codex, and other AI coding agents. SEO, content, email, ads, analytics, and growth.
Repo: openclaudia/openclaudia-skills
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