Can I customize the metrics included in the dashboard?

Yes, you can specify custom requirements for database performance, cache hits, or unique business KPIs to be included in the generated dashboard.

What are the 'Golden Signals' tracked by the skill?

The skill focuses on the four fundamental metrics for monitoring distributed systems: latency, traffic, errors, and saturation.

Does this skill automatically deploy the dashboard?

The skill generates the necessary configuration code (JSON or YAML). This can then be applied to your monitoring provider via their API, CLI, or web interface.

Which monitoring platforms does this skill support?

This skill primarily generates configuration files for popular platforms like Grafana and Datadog, but can be adapted for other observability tools.

APM Dashboard Creator

Name: APM Dashboard Creator
Author: BbgnsurfTech

byBbgnsurfTech

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Analytics & Monitoring

Generates professional Application Performance Monitoring (APM) dashboards for platforms like Grafana and Datadog to visualize system health.

About

This skill streamlines the setup of observability infrastructure by generating structured dashboard configurations tailored to application health and performance. It enables Claude to define key metrics—such as the 'Four Golden Signals' (latency, traffic, errors, and saturation)—and visualize request patterns, resource utilization, and database performance. By automating the creation of Grafana and Datadog configuration files, it ensures development teams have immediate, standardized visibility into their microservices and web applications without manual setup.

Key Features

Automated dashboard configuration for Grafana and Datadog
Visualizes 'Four Golden Signals': latency, traffic, errors, and saturation
Supports database, cache, and business-specific metric integration
Tracks resource utilization including CPU, memory, and storage
Standardizes monitoring across microservice architectures
3 GitHub stars

Use Cases

Setting up a new monitoring solution for a microservices architecture
Standardizing observability dashboards across multiple team projects
Generating visualizations for application-specific business and error metrics

About

Key Features

Automated dashboard configuration for Grafana and Datadog
Visualizes 'Four Golden Signals': latency, traffic, errors, and saturation
Supports database, cache, and business-specific metric integration
Tracks resource utilization including CPU, memory, and storage
Standardizes monitoring across microservice architectures
3 GitHub stars

Use Cases

Setting up a new monitoring solution for a microservices architecture
Standardizing observability dashboards across multiple team projects
Generating visualizations for application-specific business and error metrics