Skip to content
Skill Authoring
Skill

/health-check-endpoints

Implement comprehensive health check endpoints for liveness, readiness, and dependency monitoring. Use when deploying to Kubernetes, implementing load balancer health checks, or monitoring service availability.

From plugin
useful-ai-prompts
309200 skills
Install
$ npx -y skills add aj-geddes/useful-ai-prompts --skill health-check-endpoints --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/health-check-endpoints

Context preview

The summary Claude sees to decide when to auto-load this skill.

Implement comprehensive health check endpoints for liveness, readiness, and dependency monitoring. Use when deploying to Kubernetes, implementing load balancer health checks, or monitoring service availability.

SKILL.md

health-check-endpoints.SKILL.md
name: health-check-endpoints
description: >
  Implement comprehensive health check endpoints for liveness, readiness, and
  dependency monitoring. Use when deploying to Kubernetes, implementing load
  balancer health checks, or monitoring service availability.

Health Check Endpoints

Table of Contents

  • [Overview](#overview)
  • [When to Use](#when-to-use)
  • [Quick Start](#quick-start)
  • [Reference Guides](#reference-guides)
  • [Best Practices](#best-practices)

Overview

Implement health check endpoints to monitor service health, dependencies, and readiness for traffic.

When to Use

  • Kubernetes liveness and readiness probes
  • Load balancer health checks
  • Service discovery and registration
  • Monitoring and alerting systems
  • Circuit breaker decisions
  • Auto-scaling triggers
  • Deployment verification

Quick Start

Minimal working example:

import express from "express";
import { Pool } from "pg";
import Redis from "ioredis";

interface HealthStatus {
  status: "healthy" | "degraded" | "unhealthy";
  timestamp: string;
  uptime: number;
  checks: Record<string, CheckResult>;
  version?: string;
  environment?: string;
}

interface CheckResult {
  status: "pass" | "fail" | "warn";
  time: number;
  output?: string;
  error?: string;
}

class HealthCheckService {
  private startTime = Date.now();
  private version = process.env.APP_VERSION || "1.0.0";
  private environment = process.env.NODE_ENV || "development";

// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the `references/` directory:

| Guide | Contents | |---|---| | [Express.js Health Checks](references/expressjs-health-checks.md) | Express.js Health Checks | | [Spring Boot Actuator-Style (Java)](references/spring-boot-actuator-style-java.md) | Spring Boot Actuator-Style (Java) | | [Python Flask Health Checks](references/python-flask-health-checks.md) | Python Flask Health Checks |

Best Practices

✅ DO

  • Implement separate liveness and readiness probes
  • Keep liveness probes lightweight
  • Check critical dependencies in readiness
  • Return appropriate HTTP status codes
  • Include response time metrics
  • Set reasonable timeouts
  • Cache health check results briefly
  • Include version and environment info
  • Monitor health check failures

❌ DON'T

  • Make liveness probes check dependencies
  • Return 200 for failed health checks
  • Take too long to respond
  • Skip important dependency checks
  • Expose sensitive information
  • Ignore health check failures
Read more
Ships withuseful-ai-prompts

488 production-ready AI prompts, all following a standardized template with validated quality gates. Transform ChatGPT, Claude, and other AI assistants into expert consultants.

Get the whole plugin