Claude Code Otel — Development skill for Claude Code

Claude Code Observability Stack

[](https://github.com/ColeMurray/claude-code-otel) [](LICENSE) [](docker-compose.yml)

A comprehensive observability solution for monitoring Claude Code usage, performance, and costs. This setup implements the recommendations from the [Claude Code Observability Documentation](CLAUDE_OBSERVABILITY.md) to provide deep insights into AI-assisted development workflows.

📸 Dashboard Screenshots

💰 Cost & Usage Analysis

Track spending across different Claude models with detailed breakdowns of costs, API requests, and token usage patterns.

*Features: Model cost comparison, API request tracking, token usage breakdown by type*

📊 User Activity & Productivity

Monitor development productivity with comprehensive session analytics, tool usage patterns, and code change metrics.

*Features: Session tracking, tool performance metrics, code productivity insights*

🎯 Features

📊 **Comprehensive Monitoring**

• Cost Analysis: Track usage costs by model, user, and time periods
• User Analytics: Daily/Weekly/Monthly Active Users (DAU/WAU/MAU)
• Tool Usage: Monitor which Claude Code tools are used most frequently
• Performance Metrics: API latency, success rates, and bottleneck identification
• Productivity Insights: Lines of code changes, commits, and pull requests

📊 **Enhanced Analytics**

• API Request Tracking: Monitor actual request counts by model version
• Token Efficiency: Track cost-per-token across different models
• Session Analytics: Comprehensive session and productivity tracking
• Real-time Monitoring: Live dashboards with 30-second refresh rates

📈 **Rich Dashboards**

• Executive Overview: High-level KPIs and trends
• Cost Management: Detailed cost breakdowns and projections
• Tool Performance: Success rates and execution times
• User Activity: Productivity and engagement metrics
• Error Analysis: Comprehensive error tracking and investigation

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