Slash Command

Analytics

Track content performance across platforms, identify winning patterns, and

Type: Slash Command
Repository: jeremylongshore/tons-of-skills-marketplace
GitHub stars: 2.8k
License: MIT
Repo last updated: Sep 27, 2026
Source file: plugins/packages/creator-studio-pack/plugins/content-strategy/analytics-insights/commands/analytics.md

What Analytics is

Analytics is a slash command published in the jeremylongshore/tons-of-skills-marketplace repository on GitHub, which has about 2.8k stars. The repository describes itself as: “Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.”

A slash command is a reusable prompt saved as a markdown file and run by typing its name after a slash. In Claude Code, custom commands have been merged into skills: a file in .claude/commands/ and a skill folder in .claude/skills/ both create the same kind of command, and existing command files keep working.

Analytics gives you a repeatable way to run the same instructions without retyping them, optionally with arguments.

How to install Analytics

Claude Code

Download analytics.md from the repository.
Save it to ~/.claude/commands/ (all projects) or .claude/commands/ (one project). As a skill, you can instead save it as ~/.claude/skills/<name>/SKILL.md.
Run it by typing / followed by its name.

Claude Cowork

Turn the command into a skill: create a folder with the file saved as SKILL.md and zip it.
In Customize → Skills, click +, then upload the ZIP.
Run it from any task with / and the skill name.

New to extending Cowork? Our plugins guide and Customize guide explain how skills, plugins, and connectors fit together.

Inside the source file

An excerpt from plugins/packages/creator-studio-pack/plugins/content-strategy/analytics-insights/commands/analytics.md, shared under the repository's MIT license. Read the full file on GitHub.

Track and analyze content performance across all platforms to optimize your content strategy with data-driven decisions.

Usage

/analytics dashboard                         # View all-platform dashboard
/analytics video [video-url]                # Analyze specific video
/analytics compare [video1] [video2]        # Compare performance
/analytics trends                           # Identify winning patterns
/analytics optimize                         # Get optimization recommendations
/analytics report [timeframe]               # Generate performance report

Purpose

Make data-driven decisions by:

Cross-platform analytics - See all metrics in one place
Pattern identification - What content performs best
Audience insights - Who watches and engages
Optimization recommendations - What to do next
ROI tracking - Time invested vs results

Analytics Dashboard

When user runs /analytics dashboard:

📊 CONTENT PERFORMANCE DASHBOARD

Period: Last 30 Days
Total Videos Published: 8
Total Content Pieces: 42 (including repurposed content)

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

🎯 KEY METRICS

Total Views: 487,000 (+23% vs previous month)
Total Watch Time: 42,300 hours (+18%)
Total Engagement: 18,400 actions (+31%)
Subscriber Growth: 2,840 (+19%)
Revenue (if monetized): $1,948 (+15%)

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
…

Video-Specific Analysis

When user runs /analytics video [youtube-url]:

📹 VIDEO ANALYSIS

Title: "I Made My API 11x Faster (Redis Tutorial)"
Published: January 15, 2025 (18 days ago)
Length: 10:12

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

📊 PERFORMANCE METRICS

Views: 124,000 (6,888/day avg)
Watch Time: 14,200 hours
Impressions: 1,347,826
CTR: 9.2% (YouTube avg: 4.5%) ✓✓
Avg View Duration: 6:54 (68% retention) ✓
Likes: 8,472 (6.8% engagement) ✓
Comments: 847
Shares: 234
…

Comparison Analysis

When user runs /analytics compare [video1] [video2]:

🆚 VIDEO COMPARISON

Video A: "I Made My API 11x Faster"
Video B: "Add Redis Caching in 15 Minutes"

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Views:
A: 124,000 | ████████████████████ | 100%
B:  42,000 | ██████▌              |  34%
Winner: Video A (+195%)

CTR:
A: 9.2% | ████████████████████ | 100%
B: 5.4% | ███████████▌         |  59%
Winner: Video A (+70%)

Retention:
…

Integration Points

Works with other Creator Studio plugins:

viral-idea-generator: Validate ideas with past performance data
title-optimizer: A/B test titles with real data
distribution-automator: Optimize distribution timing
content-calendar-ai: Schedule based on best-performing days
video-editor-ai: Identify retention drop-off points for editing

Best Practices

Metrics to Track

CTR - Are people clicking? (Target: 6%+)
Retention - Are they watching? (Target: 60%+)
Engagement - Are they interacting? (Target: 5%+)
Growth - Are you gaining subscribers? (Target: 0.5%+ conversion)
Revenue - Is it financially sustainable? (Track CPM, sponsorships)

Analysis Frequency

Daily: Check first 24 hours performance
Weekly: Review all content from past week
Monthly: Deep dive into trends and patterns
Quarterly: Major strategy review and pivots

Your goal: Turn data into actionable insights that improve content performance and grow your audience.

Before you install

Read the whole file first. Skills, commands, and subagents are instructions Claude will follow, so make sure they match what you want.
Check which tools, scripts, or MCP servers it uses. Local servers and scripts run with your permissions.
Try it in a test project or a copy of your files before pointing it at real work.
Pin the version you tested, and review changes before updating.
Watch for instructions that fetch web content or run shell commands; those are where prompt injection risks start. See our prompt injection guide.

FAQ

What is Analytics?

Analytics is a slash command for Claude Code and Claude Cowork from the jeremylongshore/tons-of-skills-marketplace repository on GitHub. Track content performance across platforms, identify winning patterns, and

How do I install Analytics in Claude Code?

Download analytics.md from the repository. Save it to ~/.claude/commands/ (all projects) or .claude/commands/ (one project). As a skill, you can instead save it as ~/.claude/skills/<name>/SKILL.md. Run it by typing / followed by its name.

Can I use Analytics in Claude Cowork?

Turn the command into a skill: create a folder with the file saved as SKILL.md and zip it. In Customize → Skills, click +, then upload the ZIP. Run it from any task with / and the skill name.

Is Analytics safe to install?

It is a third-party community resource, not reviewed by Anthropic or this site. Read the source file first, check which tools and connectors it uses, and install only from sources you trust.

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Listing data comes from the public GitHub repository and was last checked in September 2026. Excerpts are © their authors and shared under MIT. This directory is independent and not affiliated with Anthropic or the resource's authors.