This skill automates the setup of synthetic monitoring for applications. It allows Claude to proactively track performance and availability by configuring uptime, transaction, and API monitoring. Use this skill when the user requests to "set up synthetic monitoring", "configure uptime monitoring", "track application performance", or needs help with "proactive performance tracking". The skill helps to identify critical endpoints and user journeys, design monitoring scenarios, and configure alerts and dashboards.
Installation
Details
Usage
After installing, this skill will be available to your AI coding assistant.
Verify installation:
skills listSkill Instructions
name: Setting Up Synthetic Monitoring description: | This skill automates the setup of synthetic monitoring for applications. It allows Claude to proactively track performance and availability by configuring uptime, transaction, and API monitoring. Use this skill when the user requests to "set up synthetic monitoring", "configure uptime monitoring", "track application performance", or needs help with "proactive performance tracking". The skill helps to identify critical endpoints and user journeys, design monitoring scenarios, and configure alerts and dashboards.
Overview
This skill streamlines the process of setting up synthetic monitoring, enabling proactive performance tracking for applications. It guides the user through defining key monitoring scenarios and configuring alerts to ensure optimal application performance and availability.
How It Works
- Identify Monitoring Needs: Determine the critical endpoints, user journeys, and APIs to monitor based on the user's application requirements.
- Design Monitoring Scenarios: Create specific monitoring scenarios for uptime, transactions, and API performance, including frequency and location.
- Configure Monitoring: Set up the synthetic monitoring tool with the designed scenarios, including alerts and dashboards for performance visualization.
When to Use This Skill
This skill activates when you need to:
- Implement uptime monitoring for a web application.
- Track the performance of critical user journeys through transaction monitoring.
- Monitor the response time and availability of API endpoints.
Examples
Example 1: Setting up Uptime Monitoring
User request: "Set up uptime monitoring for my website example.com."
The skill will:
- Identify example.com as the target endpoint.
- Configure uptime monitoring to check the availability of example.com every 5 minutes from multiple locations.
Example 2: Monitoring API Performance
User request: "Configure API monitoring for the /users endpoint of my application."
The skill will:
- Identify the /users endpoint as the target for API monitoring.
- Set up monitoring to track the response time and status code of the /users endpoint every minute.
Best Practices
- Prioritize Critical Endpoints: Focus on monitoring the most critical endpoints and user journeys that directly impact user experience.
- Set Realistic Thresholds: Configure alerts with realistic thresholds to avoid false positives and ensure timely notifications.
- Regularly Review and Adjust: Periodically review the monitoring configuration and adjust scenarios and thresholds based on application changes and performance trends.
Integration
This skill can be integrated with other plugins for incident management and alerting, such as those that handle notifications via Slack or PagerDuty, allowing for automated incident response workflows based on synthetic monitoring results.
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.
