菜单
OpenTelemetry, distributed tracing, structured logging, metrics (Prometheus, Grafana, Datadog). Use when implementing monitoring, tracing, or debugging production issues.
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
Docker & Hadolint validation (2026). Use when working with Docker, containers, or validating Dockerfiles.
Security guidelines and OWASP Top 10. Use when reviewing security, implementing authentication or authorization, hardening code, or discussing vulnerabilities.
Third-party Claude Code token/context/code-review tools. Use when choosing or recommending an external tool to reduce token usage, manage context, or review large codebases (caveman, code-review-graph, token-savior, context-mode...).
Third-party Claude Code token/context/code-review tools. Use when choosing or recommending an external tool to reduce token usage, manage context, or review large codebases.
Testing Flutter 3.44 / BLoC v9 / Riverpod 3 - Stratégie Complète. Use when writing tests, reviewing test coverage, or setting up testing.
Testing React Native 0.85+. Use when writing tests, reviewing test coverage, or setting up testing.
| name | observability |
| description | OpenTelemetry, distributed tracing, structured logging, metrics (Prometheus, Grafana, Datadog). Use when implementing monitoring, tracing, or debugging production issues. |
| triggers | {"files":["**/otel*","**/prometheus*","**/grafana*","**/jaeger*","**/tempo*","**/loki*"],"keywords":["opentelemetry","otel","tracing","distributed tracing","prometheus","grafana","datadog","structured logging","metrics","observability","monitoring","SLI","SLO","golden signals"]} |
| auto_suggest | true |
Instrumentation moderne avec OpenTelemetry pour métriques, traces et logs structurés.
| Pilier | Technologies | Métriques clés |
|---|---|---|
| Metrics | Prometheus, Grafana, Datadog | RED (Rate, Errors, Duration), USE (Utilization, Saturation, Errors) |
| Traces | OpenTelemetry, Jaeger, Tempo | P95 latency, span duration, error rate |
| Logs | Loki, ElasticSearch, Datadog | Structured JSON, correlation IDs |
// Node.js — Auto-instrumentation
const { NodeSDK } = require('@opentelemetry/sdk-node');
const { getNodeAutoInstrumentations } = require('@opentelemetry/auto-instrumentations-node');
const sdk = new NodeSDK({
traceExporter: new OTLPTraceExporter(),
instrumentations: [getNodeAutoInstrumentations()],
});
sdk.start();
| Signal | Description | Seuil typique |
|---|---|---|
| Latency | P50, P95, P99 response time | P95 < 200ms |
| Traffic | Requests per second | Baseline + alerting |
| Errors | Error rate (5xx, exceptions) | < 0.1% |
| Saturation | CPU, Memory, Disk | < 80% sustained |
{
"timestamp": "2026-04-17T10:30:00Z",
"level": "error",
"message": "Payment processing failed",
"trace_id": "4bf92f3577b34da6a3ce929d0e0e4736",
"span_id": "00f067aa0ba902b7",
"service.name": "payment-api",
"error.type": "PaymentGatewayTimeout"
}
| Concept | Exemple |
|---|---|
| SLI (Indicator) | 99.5% requests < 200ms |
| SLO (Objective) | 99.9% uptime mensuel |
| SLA (Agreement) | 99.95% uptime + pénalités |
Pour instrumentation détaillée par stack : invoquer @observability-engineer