How does the skill access my analytics data?

The skill scans your project's documentation (like ARCHITECTURE.md) and environment variables to identify integrated analytics platforms, API endpoints, and tracking schemas.

Does it work with multiple social media platforms?

It is designed to be platform-agnostic, aggregating engagement data from any analytics service or SDK discovered within your project codebase.

Can this skill predict if a post will go viral?

While it can't guarantee virality, it analyzes historical patterns and success factors to provide a predicted performance score and optimization suggestions before you publish.

Can it help calculate revenue attribution?

Yes, it tracks conversion metrics and revenue data via your project's tracking links to calculate the specific ROI for individual content pieces or platforms.

Content Analytics Expert

Name: Content Analytics Expert
Author: shipshitdev

byshipshitdev

•

Social Media Management

Analyzes content performance data to generate reports, calculate ROI, and provide data-driven optimization recommendations.

The Content Analytics Expert skill empowers Claude to transform raw performance data into actionable growth strategies by scanning your project's documentation and analytics integrations. It automatically activates when you need to identify engagement trends, calculate content ROI, or predict how new posts will perform based on historical data patterns. Whether you require comprehensive weekly performance summaries or deep-dive revenue attribution analysis, this skill provides the structured, data-backed insights necessary to refine your content strategy and maximize audience impact.

Key Features

01Automated generation of comprehensive cross-platform performance reports

02Detailed ROI calculation and revenue attribution tracking

03Pattern recognition to identify characteristics of top-performing content

04Time-series trend identification to detect shifts in audience behavior

0510 GitHub stars

06Predictive performance modeling for pre-publication optimization

Use Cases

01Generating automated monthly performance reports for stakeholders

02Calculating the financial ROI and conversion rates of specific content campaigns

03Identifying optimal posting times and formats based on historical engagement data

Key Features

01Automated generation of comprehensive cross-platform performance reports

02Detailed ROI calculation and revenue attribution tracking

03Pattern recognition to identify characteristics of top-performing content

04Time-series trend identification to detect shifts in audience behavior

0510 GitHub stars

06Predictive performance modeling for pre-publication optimization

Use Cases

01Generating automated monthly performance reports for stakeholders

02Calculating the financial ROI and conversion rates of specific content campaigns

03Identifying optimal posting times and formats based on historical engagement data