/error-tracking
Implement error tracking with Sentry for automatic exception monitoring, release tracking, and performance issues. Use when setting up error monitoring, tracking bugs in production, or analyzing application stability.
$ npx -y skills add aj-geddes/useful-ai-prompts --skill error-tracking --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/error-tracking
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The summary Claude sees to decide when to auto-load this skill.
Implement error tracking with Sentry for automatic exception monitoring, release tracking, and performance issues. Use when setting up error monitoring, tracking bugs in production, or analyzing application stability.
SKILL.md
error-tracking.SKILL.mdname: error-tracking
description: >
Implement error tracking with Sentry for automatic exception monitoring,
release tracking, and performance issues. Use when setting up error
monitoring, tracking bugs in production, or analyzing application stability.
Error Tracking
Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
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:
| Guide | Contents | |---|---| | [Sentry Setup](references/sentry-setup.md) | Sentry Setup, Node.js Sentry Integration | | [Express Middleware Integration](references/express-middleware-integration.md) | Express Middleware Integration | | [Python Sentry Integration](references/python-sentry-integration.md) | Python Sentry Integration | | [Source Maps and Release Management](references/source-maps-and-release-management.md) | Source Maps and Release Management, CI/CD Release Creation | | [Custom Error Context](references/custom-error-context.md) | Custom Error Context | | [Performance Monitoring](references/performance-monitoring.md) | Performance Monitoring |
Best Practices
✅ DO
- Set up source maps for production
- Configure appropriate sample rates
- Track releases and deployments
- Filter sensitive information
- Add meaningful context to errors
- Use breadcrumbs for debugging
- Set user information
- Review error patterns regularly
❌ DON'T
- Send 100% of errors in production
- Include passwords in context
- Ignore configuration for environment
- Skip source map uploads
- Log personally identifiable information
- Use without proper filtering
- Disable tracking in production
Read more
name: error-tracking description: > Implement error tracking with Sentry for automatic exception monitoring, release tracking, and performance issues. Use when setting up error monitoring, tracking bugs in production, or analyzing application stability.
Error Tracking
Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
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:
| Guide | Contents | |---|---| | [Sentry Setup](references/sentry-setup.md) | Sentry Setup, Node.js Sentry Integration | | [Express Middleware Integration](references/express-middleware-integration.md) | Express Middleware Integration | | [Python Sentry Integration](references/python-sentry-integration.md) | Python Sentry Integration | | [Source Maps and Release Management](references/source-maps-and-release-management.md) | Source Maps and Release Management, CI/CD Release Creation | | [Custom Error Context](references/custom-error-context.md) | Custom Error Context | | [Performance Monitoring](references/performance-monitoring.md) | Performance Monitoring |
Best Practices
✅ DO
- Set up source maps for production
- Configure appropriate sample rates
- Track releases and deployments
- Filter sensitive information
- Add meaningful context to errors
- Use breadcrumbs for debugging
- Set user information
- Review error patterns regularly
❌ DON'T
- Send 100% of errors in production
- Include passwords in context
- Ignore configuration for environment
- Skip source map uploads
- Log personally identifiable information
- Use without proper filtering
- Disable tracking in production
488 production-ready AI prompts, all following a standardized template with validated quality gates. Transform ChatGPT, Claude, and other AI assistants into expert consultants.
Repo: aj-geddes/useful-ai-prompts
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