Data Analytics Reporter

Transform Supabase and Stripe data into KPI dashboards and revenue analytics.

1|Updated Mar 13, 2026
One-click install
npx skills add https://github.com/coreymaypray/sloth-skill-tree --skill data-analytics-reporter
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Data Analytics Reporter
Source: https://github.com/coreymaypray/sloth-skill-tree/tree/main/plugins/maycrest-ops/skills/data-analytics
Command: npx skills add https://github.com/coreymaypray/sloth-skill-tree --skill data-analytics-reporter

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Data-driven organizations struggle to transform raw source data from systems like Supabase and Stripe into clear, actionable insights and dashboards for decision-makers.

Core Features & Use Cases

  • Transform multi-source data into KPI dashboards and revenue analytics.
  • Perform cohort analysis, churn tracking, and retention metrics to inform strategy.
  • Automate reporting pipelines and enable self-serve insights for stakeholders.

Quick Start

Generate a revenue analytics dashboard for the last 12 months that includes MAU, churn, cohort analysis, and revenue metrics.

Frequently Asked Questions about Data Analytics Reporter

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I turn Supabase and Stripe data into revenue analytics dashboards?

To turn Supabase and Stripe data into revenue analytics dashboards, you can use SQL data querying to transform heterogeneous sources into KPI tracking, cohort analysis, and retention metrics for automated reporting pipelines.

What is the best way to automate reporting pipelines for KPI tracking?

Automating reporting pipelines for KPI tracking involves querying multi-source data to generate dashboards that track revenue metrics, churn, and user analytics, enabling self-serve insights for stakeholders.

Can I generate cohort analysis and churn tracking metrics from raw Stripe data?

Yes, you can generate cohort analysis and churn tracking metrics from raw Stripe data by applying SQL data querying to transform transaction records into actionable revenue analytics and retention metrics.

Does this approach support executive dashboards for MAU and revenue metrics?

Yes, this approach supports executive dashboards by transforming multi-source data into clear KPI visualizations that track monthly active users (MAU), revenue metrics, and retention for decision-makers.

How do I build a reporting pipeline that combines user analytics with payment data?

Building a reporting pipeline that combines user analytics with payment data requires querying heterogeneous sources like Supabase and Stripe to unify records into comprehensive KPI dashboards and cohort analysis.