How does this help with distributed tracing?

It provides the logic for managing context variables, correlation IDs, and parent-child span relationships to track requests across different service boundaries.

Does this skill work with OpenTelemetry?

Yes, it includes specific patterns for setting up OpenTelemetry with OTLP exporters, span processors, and auto-instrumentation for frameworks like FastAPI.

Why is structured logging better than plain text logs?

Structured JSON logs allow monitoring tools to easily parse, index, and query log data, making it significantly faster to search for specific error codes or user IDs during an incident.

What programming languages are supported by this skill?

The skill provides detailed, production-ready implementation patterns for both Python and TypeScript, including structured logging formatters and tracing wrappers.

What types of metrics can I implement with this?

The skill covers standard observability metrics including Counters for events, Gauges for resource levels, and Histograms for measuring latency and distributions.

Logging & Observability

Name: Logging & Observability
Author: cosmix

bycosmix

分析と監視

Implements production-grade structured logging, distributed tracing, and metrics collection patterns for robust system monitoring.

概要

This skill equips Claude with the domain-specific knowledge required to build highly observable production systems. It provides standardized implementations for JSON-structured logging, distributed tracing with correlation IDs, and metrics collection using OpenTelemetry or custom registries. By providing templates for both Python and TypeScript, it helps developers move beyond basic console logs to sophisticated monitoring architectures that support better debugging, performance analysis, and incident response in distributed environments.

主な機能

Metrics collection primitives including Counters, Gauges, and Histograms
Distributed tracing implementation with correlation IDs and spans
Standardized log level definitions and best practice usage
Structured JSON logging patterns for Python and TypeScript
0 GitHub stars
OpenTelemetry integration and auto-instrumentation guides

ユースケース

Setting up custom application metrics to monitor business logic and system health
Modernizing legacy logging systems to structured JSON for tools like ELK or Datadog
Implementing request tracing across microservices to identify performance bottlenecks

概要

主な機能

Metrics collection primitives including Counters, Gauges, and Histograms
Distributed tracing implementation with correlation IDs and spans
Standardized log level definitions and best practice usage
Structured JSON logging patterns for Python and TypeScript
0 GitHub stars
OpenTelemetry integration and auto-instrumentation guides

ユースケース

Setting up custom application metrics to monitor business logic and system health
Modernizing legacy logging systems to structured JSON for tools like ELK or Datadog
Implementing request tracing across microservices to identify performance bottlenecks