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sentry-setup-tracing

Configure Sentry Tracing for JavaScript, TypeScript, Python, and Ruby applications.

Updated Mar 2, 2026
Search Tags:#debugging#observability#tracing#latency#sentry#performance monitoring
One-click install
npx skills add https://github.com/DMT123/claude-skills-collection --skill sentry-setup-tracing-dmt123
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sentry-setup-tracing
Source: https://github.com/DMT123/claude-skills-collection/tree/main/plugins/sentry/sentry-setup-tracing
Command: npx skills add https://github.com/DMT123/claude-skills-collection --skill sentry-setup-tracing-dmt123

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you integrate Sentry's performance monitoring into your application, allowing you to track transactions, measure latency, and identify performance bottlenecks.

Core Features & Use Cases

  • Automated Configuration: Guides you through setting up Sentry tracing for various platforms (JavaScript, Python, Ruby).
  • Performance Insights: Enables tracking of application performance, API response times, and distributed traces.
  • Use Case: When asked to "add performance monitoring" or "track application latency," use this skill to configure Sentry's tracing capabilities, ensuring you can identify and resolve performance issues effectively.

Quick Start

Use the sentry-setup-tracing skill to enable performance monitoring in your JavaScript project.

Frequently Asked Questions about sentry-setup-tracing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I set up Sentry performance monitoring for my application?▼

Sentry tracing tracks transactions and spans across JavaScript, TypeScript, Python, and Ruby applications by capturing distributed traces, allowing you to measure latency and identify performance bottlenecks across services.

How do I enable distributed tracing to measure latency across my Python and Ruby services?▼

Sentry tracing tracks transactions and spans across JavaScript, TypeScript, Python, and Ruby applications by capturing distributed traces, allowing you to measure latency and identify performance bottlenecks across services.

Can I use Sentry tracing with my existing JavaScript and TypeScript project?▼

Yes, Sentry tracing supports automatic platform detection for JavaScript and TypeScript projects, guiding you through the configuration process to track API response times and application performance.

What is the best way to configure transaction sampling rates when adding Sentry performance monitoring?▼

The best way to configure sampling rates is to follow the skill's guidance on custom instrumentation, which helps you balance capturing enough transactions for performance insights without overwhelming your data volume.

How do I add custom instrumentation to track specific API response times in Sentry?▼

You add custom instrumentation by utilizing the platform-specific SDK configuration provided for JavaScript, Python, or Ruby, allowing you to capture custom spans for specific API endpoints and response times.

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