fisioflow-analytics-dashboard

Name: fisioflow-analytics-dashboard
Availability: InStock
Author: rafaelminatto1

Build analytics dashboards for FisioFlow using existing BI infrastructure.

Updated Sep 2, 2025

Search Tags:#analytics #metrics #dashboard #export #data-visualization #bi #ml-analytics

Ready to run

npx skills add https://github.com/rafaelminatto1/fisioflow-51658291 --skill fisioflow-analytics-dashboard

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: fisioflow-analytics-dashboard
Source: https://github.com/rafaelminatto1/fisioflow-51658291/tree/main/.agents/skills/fisioflow-analytics-dashboard
Command: npx skills add https://github.com/rafaelminatto1/fisioflow-51658291 --skill fisioflow-analytics-dashboard

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Build and review analytics dashboards using FisioFlow's BI infrastructure to consolidate metrics, reports, and ML endpoints.

Core Features & Use Cases

Architect dashboards integrating revenue, patient, and operational metrics.
Route-driven analytics supporting patient, ML, and reporting endpoints.
Reusable components, caching, and export patterns for scalable BI views.

Quick Start

Query the analytics dashboard endpoint for a sample date range to render visuals.

Frequently Asked Questions about fisioflow-analytics-dashboard

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

FAQPage Schema

How do I build an analytics dashboard for patient metrics and operational KPIs?▼

You can build an analytics dashboard by defining metric schemas, data sources, caching strategy, and REST routes to render charts for patient metrics and operational KPIs. It structures the BI views using reusable components and export patterns.

What is the best way to integrate ML analytics endpoints into a BI dashboard?▼

Integrating ML analytics endpoints into a BI dashboard involves routing analytics requests through existing infrastructure to support reporting data flows. It defines metric schemas and REST routes used by the frontend to render visuals.

Does this approach support exporting data from revenue tracking dashboards?▼

Yes, revenue tracking dashboards support export options through reusable components and export patterns. The architecture defines caching strategy and metric schemas to ensure scalable BI views for financial data.

How do I query the analytics dashboard endpoint to render visuals for a sample date range?▼

You query the analytics dashboard endpoint for a sample date range to render visuals directly. This route-driven approach connects patient, ML, and reporting endpoints to the frontend using REST routes.

Can I use reusable components to scale BI views for payment and operational metrics?▼

Yes, you can use reusable components, caching, and export patterns to scale BI views for payment and operational metrics. The architecture supports consolidating reports and ML endpoints into scalable dashboards.