health-check-endpoint
Implement health check and readiness endpoints for SDK consumers
Best use case
health-check-endpoint is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Implement health check and readiness endpoints for SDK consumers
Teams using health-check-endpoint should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/health-check-endpoint/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How health-check-endpoint Compares
| Feature / Agent | health-check-endpoint | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Implement health check and readiness endpoints for SDK consumers
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Health Check Endpoint Skill
## Overview
This skill implements health check and readiness endpoints that SDK consumers can use to verify connectivity and dependency health, especially important for Kubernetes and load balancer integration.
## Capabilities
- Design health check contracts and responses
- Implement dependency checks (database, cache, external APIs)
- Support Kubernetes liveness and readiness probes
- Generate health status reports
- Configure degraded state handling
- Implement cascading health checks
- Support custom health indicators
- Configure health aggregation strategies
## Target Processes
- Observability Integration
- Platform API Gateway Design
- SDK Architecture Design
## Integration Points
- Kubernetes probe endpoints
- Load balancer health checks
- Monitoring systems
- Service mesh health
- Circuit breaker status
## Input Requirements
- Dependencies to check
- Health check intervals
- Timeout configurations
- Degradation policies
- Kubernetes probe requirements
## Output Artifacts
- Health check endpoint implementation
- Dependency check modules
- Health response schemas
- Kubernetes probe configurations
- Monitoring integrations
- Health aggregation logic
## Usage Example
```yaml
skill:
name: health-check-endpoint
context:
endpoints:
health: /health
ready: /ready
live: /live
checks:
- name: database
type: tcp
critical: true
- name: cache
type: redis
critical: false
- name: externalApi
type: http
url: https://api.example.com/health
kubernetes:
livenessProbe:
path: /live
periodSeconds: 10
readinessProbe:
path: /ready
periodSeconds: 5
```
## Best Practices
1. Separate liveness from readiness
2. Make health checks fast
3. Include dependency status
4. Support graceful degradation
5. Avoid expensive checks in liveness
6. Cache health check results appropriatelyRelated Skills
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