Execute common Sentry pitfalls and how to avoid them. Use when troubleshooting Sentry issues, reviewing configurations, or preventing common mistakes. Trigger with phrases like "sentry mistakes", "sentry pitfalls", "sentry common issues", "sentry anti-patterns".
Installation
Details
Usage
After installing, this skill will be available to your AI coding assistant.
Verify installation:
skills listSkill Instructions
name: sentry-known-pitfalls description: | Execute common Sentry pitfalls and how to avoid them. Use when troubleshooting Sentry issues, reviewing configurations, or preventing common mistakes. Trigger with phrases like "sentry mistakes", "sentry pitfalls", "sentry common issues", "sentry anti-patterns". allowed-tools: Read, Write, Edit, Grep version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io
Sentry Known Pitfalls
Prerequisites
- Existing Sentry implementation to review
- Access to SDK configuration
- Understanding of current error patterns
- Codebase access for fixes
Instructions
- Verify SDK initialization happens before app starts
- Check for single initialization point (no multiple init calls)
- Use framework-specific SDK package for your framework
- Ensure Error objects are captured (not strings)
- Verify beforeSend returns event or null explicitly
- Check DSN is in environment variables (not hardcoded)
- Review sample rates for production appropriateness
- Verify all transactions call finish() in try/finally
- Check source map URL prefix matches actual URLs
- Review alert configuration for threshold-based rules (avoid alert fatigue)
Output
- Pitfalls identified in current setup
- Fixes applied for each issue
- Configuration validated
- Best practices checklist completed
Error Handling
See {baseDir}/references/errors.md for comprehensive error handling.
Examples
See {baseDir}/references/examples.md for detailed examples.
Resources
More by jeremylongshore
View allRabbitmq Queue Setup - Auto-activating skill for Backend Development. Triggers on: rabbitmq queue setup, rabbitmq queue setup Part of the Backend Development skill category.
evaluating-machine-learning-models: This skill allows Claude to evaluate machine learning models using a comprehensive suite of metrics. It should be used when the user requests model performance analysis, validation, or testing. Claude can use this skill to assess model accuracy, precision, recall, F1-score, and other relevant metrics. Trigger this skill when the user mentions "evaluate model", "model performance", "testing metrics", "validation results", or requests a comprehensive "model evaluation".
building-neural-networks: This skill allows Claude to construct and configure neural network architectures using the neural-network-builder plugin. It should be used when the user requests the creation of a new neural network, modification of an existing one, or assistance with defining the layers, parameters, and training process. The skill is triggered by requests involving terms like "build a neural network," "define network architecture," "configure layers," or specific mentions of neural network types (e.g., "CNN," "RNN," "transformer").
Oauth Callback Handler - Auto-activating skill for API Integration. Triggers on: oauth callback handler, oauth callback handler Part of the API Integration skill category.
