How does it help with debugging errors in Claude Code?

The analyze-errors operation automatically detects and groups error patterns from logs, providing frequency data and recommendations for affected tools.

What telemetry sources does this skill support?

It supports both default OTEL telemetry for API metrics and token usage, as well as enhanced hook-based telemetry for detailed session, conversation, and tool data.

Does it integrate with visualization tools like Grafana?

Yes, the skill is designed to work with Prometheus and Loki, which power standard Grafana dashboards for high-level visualization of your Claude Code metrics.

Can I analyze how subagents are performing?

Absolutely. The analyze-subagents command tracks task tool usage, completion rates, and parallel execution patterns for nested agent workflows.

Can I use this skill to track and reduce AI costs?

Yes, it includes dedicated commands to calculate token usage from content size estimates and project costs by repository or session.

Observability Analyzer

Name: Observability Analyzer
Author: adaptationio

byadaptationio

Analíticas y Monitorización

Analyzes Claude Code telemetry data to provide deep insights into performance, costs, and tool usage patterns.

Acerca de

The Observability Analyzer skill is a specialized toolkit designed to help developers monitor and optimize their Claude Code workflows. It enables deep querying and analysis of both standard OpenTelemetry (OTEL) data and enhanced hook-based telemetry, covering everything from API metrics and token costs to session lifecycles and tool execution sequences. By leveraging Prometheus and Loki integrations, this skill transforms raw logs and metrics into actionable insights, allowing users to identify performance bottlenecks, group recurring error patterns, and project expenses across different repositories and projects.

Características Principales

Analyze tool success rates, call frequencies, and execution sequences.
0 GitHub stars
Generate comprehensive reports covering errors, performance, and costs.
Track token usage and estimate operational costs per repository or session.
Monitor context window utilization and compaction events for efficiency.
Execute advanced PromQL and LogQL queries directly through Claude Code.

Casos de Uso

Debugging complex tool failures by grouping error patterns and identifying affected subagents.
Auditing AI infrastructure costs by calculating token consumption trends over time.
Optimizing workflow latency by detecting slow tool operations and large response sizes.

Acerca de

Características Principales

Analyze tool success rates, call frequencies, and execution sequences.
0 GitHub stars
Generate comprehensive reports covering errors, performance, and costs.
Track token usage and estimate operational costs per repository or session.
Monitor context window utilization and compaction events for efficiency.
Execute advanced PromQL and LogQL queries directly through Claude Code.

Casos de Uso

Debugging complex tool failures by grouping error patterns and identifying affected subagents.
Auditing AI infrastructure costs by calculating token consumption trends over time.
Optimizing workflow latency by detecting slow tool operations and large response sizes.