Error Tracking
This gets you up and running with Sentry for production error monitoring. It covers the full setup from basic Node.js and Python integrations through Express middleware, source maps, and release tracking. The guides walk through performance monitoring, custom error context, and CI/CD integration. The best practices are sensible, especially around sampling rates and filtering sensitive data. If you're shipping to production without error tracking, this gives you everything you need to catch exceptions before your users tell you about them. The source map configuration alone will save you hours of debugging minified stack traces.
- skills.sh installs
- 463
- GitHub stars
- 379
- last updated
- Aug 21, 2026
Install
$ npx -y skills add aj-geddes/useful-ai-prompts --skill error-tracking --agent claude-codeInstalls into .claude/skills of the current project.
Files
Error Tracking
Table of Contents
Overview
Set up comprehensive error tracking with Sentry to automatically capture, report, and analyze exceptions, performance issues, and application stability.
When to Use
- Production error monitoring
- Automatic exception capture
- Release tracking
- Performance issue detection
- User impact analysis
Quick Start
Minimal working example:
npm install -g @sentry/cli
npm install @sentry/node @sentry/tracing
sentry init -d
Reference Guides
Detailed implementations in the references/ directory:
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- Repository
- github.com/aj-geddes/useful-ai-prompts
- Categories
- DevOps & CI/CD, AI & Agent Building, Release Management, Debugging
- First seen
- Jun 3, 2026
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