Which frameworks are supported by this skill?

The skill supports a wide range of platforms including React, Next.js, Node.js, Python (Django), and Go, providing specific initialization patterns for each.

How does this skill handle sensitive data or noisy errors?

It includes best practices for the 'beforeSend' hook, 'ignoreErrors', and 'denyUrls' to filter out sensitive PII and common non-actionable browser errors.

Does this skill include performance monitoring setup?

Yes, it provides configuration patterns for performance tracing, including 'tracesSampleRate' and custom 'tracesSampler' functions to optimize data collection.

Can it help with Session Replay configuration?

Yes, it includes standard setup for Sentry Replays, including session sample rates and error-only sampling for web applications.

Sentry SDK Configuration

Name: Sentry SDK Configuration
Author: TheBushidoCollective

byTheBushidoCollective

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Analíticas y Monitorización

Configures and initializes Sentry SDKs across multiple platforms and frameworks to enable professional error tracking and performance monitoring.

Acerca de

This skill provides Claude with standardized patterns and best practices for implementing Sentry observability across diverse environments including Browser JS, Node.js, React, Next.js, Python/Django, and Go. It facilitates rapid setup of error logging, performance tracing, and session replays while offering advanced guidance on event filtering, custom sampling logic, and environment-based configuration to ensure clean, actionable telemetry without excessive noise or quota consumption.

Características Principales

Multi-language support for JS, TS, Python, and Go SDKs
Framework-specific patterns for React, Next.js, and Django
Best practices for environment and release management
74 GitHub stars
Advanced performance monitoring and tracing configuration
Event filtering and noise reduction implementation

Casos de Uso

Implementing performance monitoring and distributed tracing across services
Setting up Sentry for the first time in a new web or backend project
Configuring complex error filtering to manage Sentry event volume

Acerca de

Características Principales

Multi-language support for JS, TS, Python, and Go SDKs
Framework-specific patterns for React, Next.js, and Django
Best practices for environment and release management
74 GitHub stars
Advanced performance monitoring and tracing configuration
Event filtering and noise reduction implementation

Casos de Uso

Implementing performance monitoring and distributed tracing across services
Setting up Sentry for the first time in a new web or backend project
Configuring complex error filtering to manage Sentry event volume