Individual skill

creating-apm-dashboards

Execute this skill enables AI assistant to create application performance monitoring (apm) dashboards. it is triggered when the user requests the creation of a new apm dashboard, monitoring dashboard, or a dashboard for application performance. the skill helps ... Use when generating or creating new content. Trigger with phrases like 'generate', 'create', or 'scaffold'.

plugins/performance/apm-dashboard-creator/skills/creating-apm-dashboards/SKILL.md

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Last checked: Nov 12, 2026

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Repository stars (not skill ratings): 2,916
Repository last updated: Nov 12, 2026
License: MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

ai Repository topic
automation Repository topic
claude-code Repository topic
devops Repository topic
mcp Repository topic
ai-agents Repository topic
anthropic Repository topic
claude-code-plugins Repository topic
developer-tools Repository topic
llm Repository topic
performance Declared skill tag
monitoring Declared skill tag
dashboard Declared skill tag
engineering Derived category

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SKILL.mdcore · 4,263 bytes
assets/README.mddoc · 60 bytes
references/README.mddoc · 64 bytes
scripts/README.mddoc · 493 bytes
scripts/create_datadog_dashboard.pyruns · 3,638 bytes
scripts/create_grafana_dashboard.pyruns · 3,638 bytes

Read excerpt

# Apm Dashboard Creator

Generate Application Performance Monitoring dashboards for Grafana, Datadog, and New Relic with golden signals, request metrics, and resource utilization panels.

## Overview

This skill automates the creation of Application Performance Monitoring (APM) dashboards, providing a structured approach to visualizing critical application metrics. By defining key performance indicators and generating dashboard configurations, this skill simplifies the process of monitoring application health and performance.

## How It Works

1. **Identify Requirements**: Determine the specific metrics and visualizations needed for the APM dashboard based on the user's request.
2. **Define Dashboard Components**: Select relevant components such as golden signals (latency, traffic, errors, saturation), request metrics, resource utilization, database metrics, cache metrics, business metrics, and error tracking.
3. **Generate Configuration**: Create the dashboard configuration file based on the selected components and user preferences.
4. **Deploy Dashboard**: Deploy the generated configuration to the target monitoring platform (e.g., Grafana, Datadog).