jeremylongshore

sentry-cost-tuning

@jeremylongshore/sentry-cost-tuning
jeremylongshore
1,004
123 forks
Updated 1/18/2026
View on GitHub

Optimize Sentry costs and event volume. Use when managing Sentry billing, reducing event volume, or optimizing quota usage. Trigger with phrases like "reduce sentry costs", "sentry billing", "sentry quota", "optimize sentry spend".

Installation

$skills install @jeremylongshore/sentry-cost-tuning
Claude Code
Cursor
Copilot
Codex
Antigravity

Details

Pathplugins/saas-packs/sentry-pack/skills/sentry-cost-tuning/SKILL.md
Branchmain
Scoped Name@jeremylongshore/sentry-cost-tuning

Usage

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

Verify installation:

skills list

Skill Instructions


name: sentry-cost-tuning description: | Optimize Sentry costs and event volume. Use when managing Sentry billing, reducing event volume, or optimizing quota usage. Trigger with phrases like "reduce sentry costs", "sentry billing", "sentry quota", "optimize sentry spend". allowed-tools: Read, Write, Edit, Grep version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io

Sentry Cost Tuning

Prerequisites

  • Current Sentry billing plan known
  • Event volume metrics available
  • High-volume error sources identified
  • Cost reduction target defined

Instructions

  1. Review current usage and cost breakdown by event type
  2. Implement error sampling to reduce volume (e.g., 50% sampleRate)
  3. Configure aggressive transaction sampling (1% or lower for high-volume)
  4. Add ignoreErrors and denyUrls patterns for common noise
  5. Enable server-side inbound filters in project settings
  6. Set project rate limits to cap maximum events
  7. Reduce event size with maxValueLength and maxBreadcrumbs limits
  8. Disable unused features (replays, profiling) if not needed
  9. Configure tiered environment settings (disable in dev, reduce in staging)
  10. Set up spend alerts and monitor cost projections monthly

Output

  • Optimized sample rates
  • Event filtering rules
  • Cost projection updated
  • Spend alerts configured

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
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.

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").