Can I use this for monitoring my own applications?

No, this skill is specifically designed to monitor Claude Code's own internal performance and usage telemetry, not for general application monitoring.

Does this support authenticated OTLP endpoints?

Yes, Mode 2 (Enterprise Setup) allows you to configure API keys, certificates, and headers required for secure company endpoints.

How do I access the dashboards after setup?

In local mode, the skill provides a Grafana instance at http://localhost:3000 with pre-imported dashboards using the default admin/admin credentials.

What specific metrics are collected?

The skill tracks session counts, active time, token usage (input/output/cached), USD costs by model, lines of code modified, and commit frequency.

Does this skill require Docker to work?

Docker Desktop is only required for 'Mode 1: Local PoC Setup' to run the Grafana and Prometheus stack. Enterprise mode connects to your existing infrastructure and doesn't require local containers.

OpenTelemetry Monitoring Setup

Name: OpenTelemetry Monitoring Setup
Author: cskiro

bycskiro

分析と監視

Automates the setup of OpenTelemetry observability to track Claude Code usage, costs, and productivity metrics.

概要

This skill provides an automated workflow for implementing OpenTelemetry monitoring for Claude Code, offering both a local Proof-of-Concept (PoC) stack using Docker (Grafana, Prometheus, Loki) and a professional Enterprise mode for centralized infrastructure. It enables developers and teams to gain visibility into token usage, API costs by model, and session metrics through pre-configured dashboards and automated telemetry configuration, ensuring full observability of AI-assisted development workflows.

主な機能

0 GitHub stars
Real-time tracking of token usage, API costs, and developer productivity
Automated local PoC setup with a full Docker-based monitoring stack
Pre-configured Grafana dashboards for immediate visual insights
Enterprise integration for centralized company observability infrastructure
Automated configuration of Claude Code settings for OTLP exporters

ユースケース

DevOps engineers integrating Claude Code metrics into existing Prometheus or Grafana stacks
Enterprise teams needing to monitor AI tool adoption and costs across a department
Individual developers wanting to track personal API spending and usage patterns locally

概要

主な機能

0 GitHub stars
Real-time tracking of token usage, API costs, and developer productivity
Automated local PoC setup with a full Docker-based monitoring stack
Pre-configured Grafana dashboards for immediate visual insights
Enterprise integration for centralized company observability infrastructure
Automated configuration of Claude Code settings for OTLP exporters

ユースケース

DevOps engineers integrating Claude Code metrics into existing Prometheus or Grafana stacks
Enterprise teams needing to monitor AI tool adoption and costs across a department
Individual developers wanting to track personal API spending and usage patterns locally