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
Use cases: documents, backend, testing, devops
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Permissions
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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Signals
- Stars
- 377
- Forks
- 74
- 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
- Repository
- github.com/LambdaTest/agent-skills
- Website
- agentskillsforall.com/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
api-health-monitoring skill. Agent Mart. https://agentmart.dev/skills/lambdatest-api-health-monitoring (last updated 2026-10-24)