jeremylongshore

sentry-multi-env-setup

@jeremylongshore/sentry-multi-env-setup
jeremylongshore
1,004
123 forks
Updated 1/18/2026
View on GitHub

Configure Sentry across multiple environments. Use when setting up Sentry for dev/staging/production, managing environment-specific configurations, or isolating data. Trigger with phrases like "sentry environments", "sentry staging setup", "multi-environment sentry", "sentry dev vs prod".

Installation

$skills install @jeremylongshore/sentry-multi-env-setup
Claude Code
Cursor
Copilot
Codex
Antigravity

Details

Pathplugins/saas-packs/sentry-pack/skills/sentry-multi-env-setup/SKILL.md
Branchmain
Scoped Name@jeremylongshore/sentry-multi-env-setup

Usage

After installing, this skill will be available to your AI coding assistant.

Verify installation:

skills list

Skill Instructions


name: sentry-multi-env-setup description: | Configure Sentry across multiple environments. Use when setting up Sentry for dev/staging/production, managing environment-specific configurations, or isolating data. Trigger with phrases like "sentry environments", "sentry staging setup", "multi-environment sentry", "sentry dev vs prod". allowed-tools: Read, Write, Edit, Grep version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io

Sentry Multi Env Setup

Prerequisites

  • Environment naming convention defined
  • DSN management strategy
  • Sample rate requirements per environment
  • Alert routing per environment

Instructions

  1. Set environment option in SDK init to match deployment target
  2. Configure environment-specific sample rates (100% dev, 10% prod)
  3. Choose project structure (single with environments vs separate projects)
  4. Set up separate DSNs per environment in environment variables
  5. Implement conditional DSN loading to disable in development
  6. Add environment context and tags in beforeSend hook
  7. Configure environment filters in Sentry dashboard
  8. Create production-only alert rules with appropriate conditions
  9. Set up lower-priority staging alerts for development feedback
  10. Document environment configuration and best practices for team

Output

  • Environment-specific Sentry configuration
  • Separate or shared projects configured
  • Environment-based alert rules
  • Sample rates optimized per environment

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 all
rabbitmq-queue-setup
1,004

Rabbitmq Queue Setup - Auto-activating skill for Backend Development. Triggers on: rabbitmq queue setup, rabbitmq queue setup Part of the Backend Development skill category.

model-evaluation-suite
1,004

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".

neural-network-builder
1,004

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
1,004

Oauth Callback Handler - Auto-activating skill for API Integration. Triggers on: oauth callback handler, oauth callback handler Part of the API Integration skill category.