About uptime-monitoring
A skill for setting up service uptime visibility through health checks, status pages, and incident tracking. It is intended for teams monitoring availability, service-level targets, and operational status.
Key features
- 01Health check endpoints
- 02Python health checks
- 03Heartbeat-based monitoring
- 04Public status page API
- 05Kubernetes health probes
Use cases
- 01Tracking service availability
- 02Implementing health checks
- 03Creating a public status page
- 04Monitoring incidents and SLA
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ aj-geddes/ useful-ai-prompts --skill uptime-monitoringAfter installing, type/uptime-monitoringin Claude Code to confirm it loaded.
Bundled files
References and scripts installed along with SKILL.md.
references/health-check-endpoints.mdkubernetes-health-probes.mdpublic-status-page-api.mdpython-health-checks.mduptime-monitor-with-heartbeat.mdscripts/health-check.shtemplates/dashboard-config.yamlDetails
From the project READMEUptime Monitoring
Table of Contents
Overview
Set up comprehensive uptime monitoring with health checks, status pages, and incident tracking to ensure visibility into service availability.
When to Use
- Service availability tracking
- Health check implementation
- Status page creation
- Incident management
- SLA monitoring
Quick Start
Minimal working example:
// Node.js health check
const express = require("express");
const app = express();
app.get("/health", (req, res) => {
res.json({
status: "ok",
timestamp: new Date().toISOString(),
uptime: process.uptime(),
});
});
app.get("/health/deep", async (req, res) => {
const health = {
status: "ok",
checks: {
database: "unknown",
cache: "unknown",
externalApi: "unknown",
},
};
try {
const dbResult = await db.query("SELECT 1");
health.checks.database = dbResult ? "ok" : "error";
// ... (see reference guides for full implementation)
Reference Guides
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| Health Check Endpoints | Health Check Endpoints |
| Python Health Checks | Python Health Checks |
| Uptime Monitor with Heartbeat | Uptime Monitor with Heartbeat |
| Public Status Page API | Public Status Page API |
| Kubernetes Health Probes | Kubernetes Health Probes |
Best Practices
✅ DO
- Implement comprehensive health checks
- Check all critical dependencies
- Use appropriate timeout values
- Track response times
- Store check history
- Monitor uptime trends
- Alert on status changes
- Use standard HTTP status codes
❌ DON'T
- Check only application process
- Ignore external dependencies
- Set timeouts too low
- Alert on every failure
- Use health checks for load balancing
- Expose sensitive information
Comments
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