菜单
Use when setting up or debugging Prometheus, Grafana, logging, or alerting
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Use before any DevOps build, change, or new feature — refine requirements through dialogue before touching infrastructure or code
Use when working with Docker — building images, writing Dockerfiles, debugging container issues
Use to execute a written implementation plan via subagents with review checkpoints
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Use when working with Kubernetes or Helm — authoring, reviewing, hardening, or debugging manifests, Deployments, Services, Ingress, RBAC, NetworkPolicy, or cluster operations
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
| name | monitoring-and-alerting |
| description | Use when setting up or debugging Prometheus, Grafana, logging, or alerting |
tooling/monitoring/. Scaffold scrape configs, dashboards, alert rules.# CPU usage by pod
rate(container_cpu_usage_seconds_total[5m])
# Memory usage
container_memory_working_set_bytes / container_spec_memory_limit_bytes
# HTTP error rate
rate(http_requests_total{status=~"5.."}[5m]) / rate(http_requests_total[5m])
# Pod restarts
increase(kube_pod_container_status_restarts_total[1h])
groups:
- name: app-alerts
rules:
- alert: HighErrorRate
expr: rate(http_requests_total{status=~"5.."}[5m]) > 0.05
for: 5m
labels:
severity: critical
annotations:
summary: "High error rate on {{ $labels.service }}"
{
"timestamp": "2026-04-01T10:00:00Z",
"level": "error",
"message": "Database connection failed",
"service": "api",
"trace_id": "abc123",
"error": "connection refused"
}
# Kubernetes logs
kubectl logs -l app=myapp --since=1h
kubectl logs -l app=myapp --tail=100
# Journald
journalctl -u myservice -f
journalctl -u myservice --since "1 hour ago"
tooling/monitoring/prometheus/ — scrape configs, alert rulestooling/monitoring/grafana/ — dashboard JSONstooling/monitoring/starters/ — full observability stack