What instrumentation libraries are supported by this skill?

This skill provides patterns for OpenTelemetry auto-instrumentation for HTTP and PostgreSQL, as well as manual instrumentation for custom business logic.

Can this skill help define alerting thresholds?

Absolutely. It includes Prometheus alerting rules based on service level objectives (SLOs) like error rates and 99th percentile latency.

Is the telemetry data compatible with Grafana?

Yes, the metrics and traces are exported in OTLP and Prometheus formats, which are industry standards compatible with Grafana and other observability platforms.

Does it include security best practices for logging?

Yes, it specifically addresses anti-patterns like logging PII and provides code for redacting sensitive headers and passwords in structured logs.

Monitoring & Observability

Name: Monitoring & Observability
Author: rohitg00

byrohitg00

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604

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分析と監視

Implements comprehensive monitoring, logging, and observability patterns using OpenTelemetry, Prometheus, and structured logging.

The Monitoring & Observability skill empowers Claude to architect and implement production-grade visibility into application health and performance. It provides specialized guidance for setting up OpenTelemetry SDKs, instrumenting distributed traces, and collecting Prometheus metrics for real-time monitoring. By following these patterns, developers can ensure their services emit structured JSON logs with sensitive data redaction, define SLO-based alerting rules, and build dashboards focused on RED metrics (Rate, Errors, Duration) for faster incident response and deeper system insight.

主な機能

01Custom span and metric implementation for business-critical operations

02OpenTelemetry SDK initialization for HTTP and Database auto-instrumentation

03Structured logging with Pino featuring automatic secret redaction

04604 GitHub stars

05Prometheus registry setup and metric endpoint configuration

06SLO-based alerting rules for high error rates and latency percentiles

ユースケース

01Implementing distributed tracing across a microservices architecture

02Migrating from legacy string-based logging to structured JSON observability

03Setting up performance monitoring and alerting for production API services

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add rohitg00/awesome-claude-code-toolkit monitoring-observability

For use in Claude.ai and ChatGPT

Download Skill