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supabase-analytics

Generate tenant-scoped Supabase analytics with RLS-aware SQL queries.

1|Updated Dec 18, 2025
Search Tags:#analytics#rls#supabase#dashboard#time-series#cohort
One-click install
npx skills add https://github.com/Ai-Whisperers/Vete --skill supabase-analytics
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: supabase-analytics
Source: https://github.com/Ai-Whisperers/Vete/tree/main/.claude/plugins/vete-veterinary/skills/supabase-analytics
Command: npx skills add https://github.com/Ai-Whisperers/Vete --skill supabase-analytics

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Supabase Analytics Patterns provide tenant-isolated analytics for dashboards, enabling secure multi-tenant data insights without cross-tenant leakage. They are designed for a multi-clinic veterinary platform to ensure each clinic can access its own metrics without exposure to others.

Core Features & Use Cases

  • RLS-aware dashboard statistics for each tenant (revenue, appointments, clients)
  • Time-series analytics for revenue and activity trends across days, weeks, and months
  • Cohort and retention analysis across clinics to measure onboarding success
  • Top-N queries for services and products to identify best performers
  • Patterns for secure data access, performance via stored procedures, and materialized views

Quick Start

Configure a tenant-scoped analytics setup by deploying the provided SQL patterns and functions for RLS-aware queries and time-series insights to power per-clinic dashboards.

Frequently Asked Questions about supabase-analytics

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

FAQPage Schema
How do I build tenant-safe analytics dashboards in Supabase with RLS?▼

Supabase RLS analytics dashboards use RLS-aware SQL/PLpgSQL functions to scope queries per tenant, ensuring secure multi-tenant data isolation without cross-tenant leakage for revenue and appointment metrics.

How do I write time-series queries for revenue trends in Supabase?▼

Time-series queries for revenue trends in Supabase use SQL patterns to aggregate activity across days, weeks, and months. These patterns provide per-clinic insights while maintaining strict row-level security access controls.

Can I perform cohort retention analysis across multiple tenants in Supabase?▼

Yes, cohort retention analysis across tenants is supported through SQL patterns that measure onboarding success across clinics while enforcing RLS to prevent cross-tenant data exposure.

Does Supabase RLS work with materialized views for dashboard performance?▼

Supabase RLS works with materialized views and stored procedures to optimize dashboard performance, securing data access while improving query speed for aggregations and Top-N product or service queries.

What is the best way to prevent cross-tenant data leakage in Supabase analytics?▼

The best way to prevent cross-tenant data leakage is applying RLS-aware query patterns and stored procedures, ensuring each clinic accesses only its own metrics during data aggregation.

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