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Youtube Analytics

  • 422 installs
  • 614 repo stars
  • Updated August 5, 2026
  • openclaudia/openclaudia-skills

youtube-analytics is a Claude agent skill that analyzes YouTube channel and video performance via the YouTube Data API v3 for developers refining content strategy, posting cadence, and topic selection.

About

youtube-analytics is an agent skill that queries the YouTube Data API v3 to analyze channel and video performance metrics for content strategy decisions. The skill interprets views, watch time, audience retention, click-through rate, traffic sources, and demographic breakdowns to recommend posting cadence changes and topic pivots. Developers reach for youtube-analytics when they say "check my channel," "video performance," "YouTube stats," or ask to compare channels and search trends. The skill requires a YOUTUBE_API_KEY in environment variables or ~/.claude/.env.global and guides the agent through actionable analysis rather than raw metric dumps. It supports channel analysis, video comparison, and YouTube SEO-oriented insights so engineering teams running technical channels can data-drive content calendars. Trigger phrases include YouTube analytics, channel analysis, compare YouTube channels, and content performance reviews.

  • Reads YouTube Studio performance metrics
  • Explains retention curves and CTR patterns
  • Maps traffic sources to distribution choices
  • Turns audience demographics into content angles
  • Recommends publish timing from trend signals

Youtube Analytics by the numbers

  • 422 all-time installs (skills.sh)
  • +25 installs in the week ending Aug 4, 2026 (Skillselion tracking)
  • Ranked #802 of 1,879 Marketing & SEO skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/openclaudia/openclaudia-skills --skill youtube-analytics

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Listed on Skillselion
Installs422
repo stars614
Last updatedAugust 5, 2026
Repositoryopenclaudia/openclaudia-skills

How do you analyze YouTube channel performance metrics?

Interpret YouTube channel and video metrics—views, watch time, retention, CTR, traffic sources, and demographics—to refine content strategy, posting cadence, and topic selection.

Who is it for?

Developers or technical creators running YouTube channels who want API-driven analytics for content strategy, posting cadence, and topic selection.

Skip if: Teams without a YouTube channel, missing YOUTUBE_API_KEY credentials, or projects needing non-YouTube social analytics.

When should I use this skill?

User asks for YouTube analytics, channel analysis, video performance stats, channel comparison, or YouTube SEO metric interpretation.

What you get

Channel and video performance report with views, watch time, retention, CTR, traffic sources, demographics, and content strategy recommendations.

  • Channel performance report
  • Video metrics analysis
  • Content strategy recommendations

By the numbers

  • Uses YouTube Data API v3 for channel and video queries

Files

SKILL.mdMarkdownGitHub ↗

YouTube Analytics Skill

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.

Prerequisites

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.

API Reference

Base URL: https://www.googleapis.com/youtube/v3

Channel Analysis

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:

  • statistics.viewCount — Total channel views
  • statistics.subscriberCount — Subscriber count
  • statistics.videoCount — Total videos published
  • contentDetails.relatedPlaylists.uploads — Upload playlist ID (use to list all videos)

List Channel Videos

Get uploads playlist:

curl -s "https://www.googleapis.com/youtube/v3/playlistItems?part=snippet,contentDetails&playlistId={uploadsPlaylistId}&maxResults=50&key=${YOUTUBE_API_KEY}"

Video Performance

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:

  • statistics.viewCount — Views
  • statistics.likeCount — Likes
  • statistics.commentCount — Comments
  • contentDetails.duration — Video length (ISO 8601 format)
  • snippet.publishedAt — Publish date
  • snippet.tags — Video tags

Search

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:

  • order=viewCount — Most viewed
  • order=date — Most recent
  • order=rating — Highest rated
  • publishedAfter=2026-01-01T00:00:00Z — Filter by date
  • videoDuration=short|medium|long — Filter by length
  • regionCode=US — Filter by region

Analysis Process

Step 1: Channel Overview

Pull channel data and compute:

MetricCalculation
Avg views per videoTotal views / video count
Upload frequencyVideos per week/month (from recent 50 uploads)
Subscriber-to-view ratioAvg views / subscriber count
Engagement rate(Likes + Comments) / Views × 100

Step 2: Top Performing Content

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:

  • Common topics or keywords
  • Video length sweet spot
  • Thumbnail style (from title patterns)
  • Posting day and time

Step 3: Content Gaps

Search for the channel's core keywords and compare:

  • What top-ranking videos cover vs. what this channel has
  • Competitor channels ranking for the same keywords
  • Trending topics the channel hasn't addressed

Step 4: YouTube SEO Analysis

For each video analyzed, check:

ElementBest PracticeScore
TitleKeyword in first 60 chars, compelling, <70 chars✓/✗
Description200+ words, keyword in first 2 lines, links, timestamps✓/✗
Tags5-15 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

Output Format

# 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}

Channel Comparison

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}/week |
| Top video views | {count} | {count} | {count} |

Important Notes

  • The YouTube Data API has a daily quota of 10,000 units. Each search costs 100 units. Each video/channel lookup costs 1-3 units. Be efficient with API calls.
  • Batch video IDs in single requests (up to 50 per call) to conserve quota.
  • Subscriber counts below 1,000 are hidden by YouTube. The API returns 0 in these cases.
  • likeCount may not be available if the creator has hidden likes.
  • API results are public data only. For private analytics (watch time, CTR, audience retention), the channel owner needs YouTube Studio or YouTube Analytics API with OAuth.

Related skills

How it compares

Pick youtube-analytics over generic analytics skills when the data source is specifically YouTube channels and videos via the official Data API.

FAQ

What API does youtube-analytics use?

youtube-analytics uses the YouTube Data API v3 to fetch channel and video metrics including views, watch time, retention, CTR, traffic sources, and demographic breakdowns.

What credentials does youtube-analytics need?

youtube-analytics requires a YOUTUBE_API_KEY set in environment variables or in ~/.claude/.env.global before the agent can query channel and video performance data.

Marketing & SEOcontentdistributionlifecycle

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