What metrics can this skill collect from Tautulli?

It can retrieve total plays, watch duration, unique user counts, play counts by hour/date, stream types (Direct Play vs Transcode), and max concurrent streams.

How is the collected analytics data stored?

Data is aggregated and stored in a SQLite database within the 'collection_analytics' table, allowing for historical trend analysis and reporting.

What is the primary purpose of the Tautulli Analytics skill?

The skill facilitates the integration of Tautulli streaming data into HomeScreen Hero, allowing users to track watch history and performance metrics for their Plex collections.

Can I use this skill to create custom frontend charts?

Yes, the skill includes patterns for creating backend API endpoints that serve formatted data specifically for React visualization libraries like Recharts.

What configuration is required for this skill to work?

It requires a Tautulli API key and the base URL of your Tautulli instance, typically configured via environment variables or a config.yaml file.

Tautulli Analytics Integration

Name: Tautulli Analytics Integration
Author: trentferguson

bytrentferguson

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分析与监控

Synchronizes Plex streaming metrics and watch history from Tautulli into the HomeScreen Hero dashboard.

关于

This skill enables Claude to manage the integration between Tautulli and HomeScreen Hero, providing a robust framework for fetching and storing Plex streaming data. It covers the complete lifecycle of analytics management, from low-level API communication with the Tautulli client to high-level data aggregation and SQLite persistence. Developers can utilize this skill to build streaming dashboards, track collection-level performance, analyze concurrent stream peaks, and monitor user watch patterns to optimize their media server's home screen content.

主要功能

Persistent storage of analytics snapshots using SQLite
Advanced metrics tracking including concurrent streams and play frequency
Full Tautulli API v2 client implementation for Plex metrics
Standardized API endpoints for frontend visualization with Recharts
Automated aggregation of item-level stats into collection-level insights
34 GitHub stars

使用场景

Analyzing user activity patterns to schedule home screen rotations
Building interactive dashboards to visualize Plex library engagement
Automating data collection for promoted media collections

关于

主要功能

Persistent storage of analytics snapshots using SQLite
Advanced metrics tracking including concurrent streams and play frequency
Full Tautulli API v2 client implementation for Plex metrics
Standardized API endpoints for frontend visualization with Recharts
Automated aggregation of item-level stats into collection-level insights
34 GitHub stars

使用场景

Analyzing user activity patterns to schedule home screen rotations
Building interactive dashboards to visualize Plex library engagement
Automating data collection for promoted media collections