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

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分析与监控

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

关于

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.

主要功能

Multi-platform detection for Node.js, Python, Ruby, React, and Next.js
Automated setup of distributed tracing via sentry-trace and baggage headers
Browser-specific integration for Core Web Vitals and Interaction to Next Paint (INP)
Dynamic sampling configuration using tracesSampler for intelligent data collection
Custom span instrumentation for fine-grained function-level performance tracking
5 GitHub stars

使用场景

Identifying bottleneck database queries or API response times in production
Implementing end-to-end performance monitoring in a microservices architecture
Setting up Interaction to Next Paint tracking for frontend web vitals optimization

关于

主要功能

Multi-platform detection for Node.js, Python, Ruby, React, and Next.js
Automated setup of distributed tracing via sentry-trace and baggage headers
Browser-specific integration for Core Web Vitals and Interaction to Next Paint (INP)
Dynamic sampling configuration using tracesSampler for intelligent data collection
Custom span instrumentation for fine-grained function-level performance tracking
5 GitHub stars

使用场景

Identifying bottleneck database queries or API response times in production
Implementing end-to-end performance monitoring in a microservices architecture
Setting up Interaction to Next Paint tracking for frontend web vitals optimization