Is real-time monitoring supported?

Yes, all imported dashboards include auto-refresh capabilities (ranging from 30 seconds to 5 minutes) and time range selectors for real-time observability.

What dashboards are included by default?

The skill includes five pre-built dashboards: Claude Code Overview, Tool Performance Matrix, Cost Analysis, Error Tracking, and Session Analysis.

Can I create my own custom visualizations?

Yes, you can use the 'create-custom' command to build specific dashboards based on templates for tool-specific metrics, costs, errors, or sessions.

Do I need a running Grafana instance?

Yes, this skill requires access to a Grafana API (typically running on localhost:3000) to import, export, and manage the dashboard configurations.

How do I backup my existing Claude Code dashboards?

Use the 'export-dashboards' command to save all your current dashboard configurations as JSON files in the .observability/backups directory.

Claude Code Observability Dashboards

Name: Claude Code Observability Dashboards
Author: adaptationio

byadaptationio

분석 및 모니터링

Deploys and manages comprehensive Grafana dashboards for monitoring Claude Code performance, costs, and session health.

소개

The Observability Dashboard Creator streamlines the monitoring of Claude Code by automating the setup and management of specialized Grafana visualizations. It provides developers with immediate insights into token usage, API costs, tool execution performance, and error patterns through pre-configured dashboards. Whether you are troubleshooting failed tool calls, tracking project budgets, or analyzing conversation depth, this skill simplifies the complex process of infrastructure monitoring into a series of automated commands, ensuring your AI development environment remains transparent and optimized.

주요 기능

Performance matrix for monitoring tool latency and success/failure rates
Automated import of 5 pre-built Grafana dashboards for immediate visibility
Template-based custom dashboard creation for specific monitoring needs
Real-time tracking of token consumption and granular API cost analysis
Detailed error pattern detection and session history logging
0 GitHub stars

사용 사례

Setting up a centralized monitoring hub after deploying a Claude Code observability stack
Analyzing the cost-efficiency and token usage of long-running AI development sessions
Identifying performance bottlenecks and high-failure rates in custom tool implementations

소개

주요 기능

Performance matrix for monitoring tool latency and success/failure rates
Automated import of 5 pre-built Grafana dashboards for immediate visibility
Template-based custom dashboard creation for specific monitoring needs
Real-time tracking of token consumption and granular API cost analysis
Detailed error pattern detection and session history logging
0 GitHub stars

사용 사례

Setting up a centralized monitoring hub after deploying a Claude Code observability stack
Analyzing the cost-efficiency and token usage of long-running AI development sessions
Identifying performance bottlenecks and high-failure rates in custom tool implementations