
Synthetic Monitoring
This helps you set up automated tests that simulate real user behavior to catch issues before your actual users do. You'll write Playwright scripts that walk through critical paths like login flows, checkout processes, or API sequences, then run them on a schedule. The skill includes examples for browser-based testing, API monitoring, and scheduled runs with metric tracking. The best practices are solid, especially the reminder to test error scenarios and rotate test data. It's basically proactive monitoring that pretends to be a user so you know when something breaks at 3am instead of finding out from angry support tickets.
- skills.sh installs
- 427
- GitHub stars
- 379
- last updated
- Aug 21, 2026
Install
$ npx -y skills add aj-geddes/useful-ai-prompts --skill synthetic-monitoring --agent claude-codeInstalls into .claude/skills of the current project.
Files
Synthetic Monitoring
Table of Contents
Overview
Set up synthetic monitoring to automatically simulate real user journeys, API workflows, and critical business transactions to detect issues and validate performance.
When to Use
- End-to-end workflow validation
- API flow testing
- User journey simulation
- Transaction monitoring
- Critical path validation
Quick Start
Minimal working example:
// synthetic-tests.js
const { chromium } = require("playwright");
class SyntheticMonitor {
constructor(config = {}) {
this.baseUrl = config.baseUrl || "https://app.example.com";
this.timeout = config.timeout || 30000;
}
async testUserFlow() {
const browser = await chromium.launch();
const page = await browser.newPage();
const metrics = { steps: {} };
const startTime = Date.now();
Sponsors
Details
- Repository
- github.com/aj-geddes/useful-ai-prompts
- Categories
- Backend & APIs, Testing & QA, DevOps & CI/CD, AI & Agent Building, Automation & Workflows
- First seen
- Jun 3, 2026
More from aj-geddes/useful-ai-prompts
All 258- Canary Deployment426
- Service Mesh Implementation426
- Azure Functions424
- Data Replication Setup424
- Graphql Implementation424
- Polyglot Integration424
- Distributed Tracing418
- Multi Cloud Strategy418
- Anomaly Detection
- Causal Inference
- Classification Modeling
- Clustering Analysis
- Cohort Analysis
- Computer Vision
- Correlation Analysis
- Data Cleaning Pipeline
- Data Visualization
- Dimensionality Reduction
- Exploratory Data Analysis
- Feature Engineering
- Funnel Analysis
- ML Model Explanation
- ML Model Training
- ML Pipeline Automation