Which programming languages and frameworks does this skill support?

This skill supports JavaScript, TypeScript, Python, and Ruby, with specific optimizations for React, Next.js, Node.js, and various backend frameworks.

Can I use this skill to track custom application logic?

Yes, the skill includes documentation and implementation steps for creating custom spans using startSpan in JavaScript and decorators or context managers in Python.

Does this skill help with distributed tracing across different services?

Yes, it guides you through configuring tracePropagationTargets to ensure trace context is passed correctly between your frontend and backend services.

How does the skill handle high-volume traffic sampling?

It provides implementation patterns for both uniform tracesSampleRate and dynamic tracesSampler functions to filter unwanted transactions and control costs.

Sentry Performance Tracing

Name: Sentry Performance Tracing
Author: troykelly

bytroykelly

•

분석 및 모니터링

Configures Sentry performance monitoring and distributed tracing to track application latency and transaction flows across multiple services.

This skill automates the integration of Sentry Tracing into your software projects, allowing for deep observability into application performance. It handles platform detection for JavaScript, Python, and Ruby environments, configures sampling rates for optimal data balance, and implements distributed tracing to map requests across service boundaries. Whether you need to measure page load times in Next.js or instrument custom spans in a Python backend, this skill provides the architectural patterns and implementation steps necessary to gain actionable performance insights.

주요 기능

01Multi-platform detection for Node.js, Python, Ruby, React, and Next.js

02Automated setup of distributed tracing via sentry-trace and baggage headers

03Browser-specific integration for Core Web Vitals and Interaction to Next Paint (INP)

04Dynamic sampling configuration using tracesSampler for intelligent data collection

05Custom span instrumentation for fine-grained function-level performance tracking

065 GitHub stars

사용 사례

01Identifying bottleneck database queries or API response times in production

02Implementing end-to-end performance monitoring in a microservices architecture

03Setting up Interaction to Next Paint tracking for frontend web vitals optimization

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add troykelly/claude-skills sentry-setup-tracing

For use in Claude.ai and ChatGPT

Download Skill