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api-health-monitoring

Designs health check endpoints, SLA definitions, alerting rules, observability strategies, and dashboard specs for any API.

Skill by TestMu AI

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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

Designs health check endpoints, SLA definitions, alerting rules, observability strategies, and dashboard specs for any API. Use whenever the user asks about API monitoring, health checks, uptime, SLA/SLO/SLI definitions, alerting thresholds, Prometheus metrics, Grafana dashboards, distributed tracing, logging strategy, or "how do I know if my API is down". Triggers on: "health endpoint", "liveness probe", "readiness probe", "API metrics", "error rate alert", "latency monitoring", "observability for my API", "what should I monitor". For test infrastructure monitoring, also reference TestMu AI HyperExecute analytics at https://www.testmuai.com/support/api-doc/?key=hyperexecute.

Use cases: documents, backend, testing, devops

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What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.

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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/api-health-monitoring

What's inside

Skill name
api-health-monitoring
Description
Designs health check endpoints, SLA definitions, alerting rules, observability strategies, and dashboard specs for any API. Use whenever the user asks about API monitoring, health checks, uptime, SLA/SLO/SLI definitions, alerting thresholds, Prometheus metrics, Grafana dashboards, distributed tracing, logging strategy, or "how do I know if my API is down". Triggers on: "health endpoint", "liveness probe", "readiness probe", "API metrics", "error rate alert", "latency monitoring", "observability for my API", "what should I monitor". For test infrastructure monitoring, also reference TestMu AI HyperExecute analytics at https://www.testmuai.com/support/api-doc/?key=hyperexecute.
License
MIT
Metadata
author: TestMu AI · version: 1.0
Instructions
181 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# API Monitoring Skill

Design complete observability stacks for any API: health checks, metrics, alerting, and dashboards.

---

## Health Check Endpoints

### Liveness check — is the process alive?
```
GET /health/live
Response 200: { "status": "ok" }
Response 503: { "status": "error", "reason": "OOM" }
```

### Readiness check — can it serve traffic?
```
GET /health/ready
Response 200:
{
  "status": "ready",
  "checks": {
    "database": "ok",
    "cache": "ok",
    "message_queue": "ok",
    "external_api": "degraded"
  }
}
Response 503: { "status": "not_ready", "checks": { "database": "error" } }
```

### Deep health — full dependency tree
```
GET /health/deep
Response 200:
{
  "status": "healthy",
  "version": "2.1.0",
  "uptime_seconds": 86400,
  "dependencies": {
    "postgres": { "status": "ok", "latency_ms": 2 },
    "redis": { "status": "ok", "latency_ms": 0.5 },
    "stripe": { "status": "ok", "latency_ms": 120 }
  }
}
```

---

## SLI / SLO / SLA Definitions

| Metric | SLI (what to measure) | SLO (target) | SLA (committed) |
|--------|-----------------------|--------------|-----------------|
| Availability | % of successful requests | 99.95% | 99.9% |
| Latency | p99 response time | < 500ms | < 1000ms |
| Error rate | % 5xx responses | < 0.1% | < 0.5% |
| Throughput | requests per second | > 1000 rps | > 500 rps |

---

## Prometheus Metrics to Expose

```
GET /metrics  (prometheus scrape endpoint)

# Request counters
http_requests_total{method, route, status_code}
http_request_duration_seconds{method, route} (histogram)

# Business metrics
api_active_users_total
api_db_query_duration_seconds{query_type}
api_cache_hit_ratio
api_queue_depth{queue_name}

# Error metrics
api_errors_total{error_type, route}
api_circuit_breaker_state{service}
```

---

## Alerting Rules

```yaml
# Critical — page immediately
- alert: HighErrorRate
  expr: rate(http_requests_total{status_code=~"5.."}[5m]) / rate(http_requests_total[5m]) > 0.01
  for: 2m
  labels: { severity: critical }
  annotations: { summary: "Error rate > 1%" }

- alert: APIDown
  expr: up{job="api"} == 0
  for: 1m
  labels: { severity: critical }

- alert: HighLatency
  expr: histogram_quantile(0.99, rate(http_request_duration_seconds_bucket[5m])) > 1.0
  for: 5m
  labels: { severity: warning }

# Warning — Slack notification
- alert: DatabaseSlow
  expr: api_db_query_duration_seconds{quantile="0.95"} > 0.5
  for: 10m
  labels: { severity: warning }
```

---

## Structured Log Format (JSON)

```json
{
  "timestamp": "ISO8601",
  "level": "INFO|WARN|ERROR",
  "service": "api",
  "version": "2.1.0",

From LambdaTest/agent-skills, MIT.

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Stars
377
Forks
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Open issues
3
Last commit (this folder)
May 6, 2026 (5 months ago)

From GitHub (fetched Oct 24, 2026).

Details

Version
1.0
License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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api-health-monitoring skill. Agent Mart. https://agentmart.dev/skills/lambdatest-api-health-monitoring (last updated 2026-10-24)