Monitoring Skill

Centralizes observability metrics and dashboards for geo-retail analytics via Prometheus and Superset.

Updated Jan 2, 2026
One-click install
npx skills add https://github.com/reynierre/geo-retail-analytics-mcp --skill monitoring-skill
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Monitoring Skill
Source: https://github.com/reynierre/geo-retail-analytics-mcp/tree/main/.claude/skills/monitoring
Command: npx skills add https://github.com/reynierre/geo-retail-analytics-mcp --skill monitoring-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill centralizes observability for geo-retail analytics by exposing metrics and dashboards from Prometheus, Superset, and related services.

Core Features & Use Cases

  • Health checks and uptime visibility for ClickHouse, Kafka, and backend services.
  • Metrics dashboards with pre-built queries in Superset for key operational KPIs.
  • Alerts and incident response to surface critical issues in real time.

Quick Start

Deploy the monitoring stack locally or in your environment, then open the Superset UI at http://localhost:8088, login with admin/admin, and verify Prometheus at http://localhost:9090. Connect to ClickHouse and explore mv_* datasets, or run sample queries to validate metrics.

Frequently Asked Questions about Monitoring Skill

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

FAQPage Schema
How do I monitor geo-retail analytics health with Prometheus and Superset?

You can monitor geo-retail analytics health by deploying this stack to expose Prometheus metrics and pre-built Superset dashboards. It provides health checks, performance metrics, and alerts for ClickHouse, Kafka, and backend services.

What metrics can I expose from Spring Boot Actuator for geo-retail observability?

Spring Boot Actuator metrics are exposed through Prometheus to provide observability for backend services. This setup captures performance metrics and health checks, enabling real-time alerts and dashboards for your geo-retail analytics environment.

How do I set up dashboards for ClickHouse and Kafka observability?

You can set up dashboards by opening the pre-baked Superset UI at localhost:8088 and logging in with admin/admin. Connect to ClickHouse to explore mv_* datasets and validate operational KPIs through sample queries.

Can I use this monitoring stack for both development and production environments?

This monitoring stack applies to both development and production scenarios. It centralizes observability by exposing metrics and dashboards from Prometheus and Superset, enabling consistent health checks and incident response across environments.

Does this observability setup include pre-built alerts for backend services?

Yes, the observability setup includes alerts and incident response features to surface critical issues in real time. It exposes metrics from Prometheus and Superset to monitor the health of ClickHouse, Kafka, and backend services.

How do I validate Prometheus metrics collection for geo-retail services?

You can validate Prometheus metrics collection by accessing the Prometheus UI at localhost:9090. This confirms metrics exposure from your backend services, ClickHouse, and Kafka components within the geo-retail analytics stack.