observability▌

You are a monitoring and observability expert specializing in implementing comprehensive monitoring solutions. Set up metrics collection, distributed tracing, log aggregation, and create insightful dashboards that provide full visibility into system health and performance.

Complete observability stack with structured logging, error tracking, and web analytics.

Development platform for debugging, evaluating, and monitoring language models and AI applications.

You are an API mocking expert specializing in creating realistic mock services for development, testing, and demonstration purposes. Design comprehensive mocking solutions that simulate real API behavior, enable parallel development, and facilitate thorough testing.

Category: test \n SLS 日志查询Minimal Viable Test \n Prerequisites \n \n 配置 ALIBABACLOUD_ACCESS_KEY_ID 、 ALIBABACLOUD_ACCESS_KEY_SECRET 。 \n 配置 SLS_ENDPOINT 、 SLS_PROJECT 、 SLS_LOGSTORE 。 \n GoalsSkill: skills/observability/sls/alicloud-observability-sls-log-query/ 。 \n \n Test Steps \n \n 执行 5 分钟窗口的基础查询（如 * | select count(*) ）。 \n 记录耗时与返回行数。 \n 若失败，记录完整错误码。 \n \n Expected Results \n \n 查询成功返回统计结果，或返回可诊断错误。 \n

Structured logging, metrics, and distributed tracing patterns for Python production systems. \n \n Covers four core observability areas: structured JSON logging with structlog, Prometheus metrics for the four golden signals (latency, traffic, errors, saturation), correlation ID propagation across service boundaries, and OpenTelemetry distributed tracing \n Includes semantic log level guidance, bounded cardinality rules for metrics to prevent storage explosion, and context manager patterns for co

Use this skill when the user needs trace-based observability, not just testing: extract Session Tracing Data Model (STDM) records, work with Parquet datasets, reconstruct session timelines, analyze topic/action latency, or debug agent behavior from Data 360 telemetry.

Comprehensive observability for Istio and Linkerd service meshes with distributed tracing, metrics, and visualization. \n \n Covers three observability pillars: metrics (request rate, error rate, latency), traces (span context, dependencies, bottlenecks), and logs (access logs, error details) \n Includes ready-to-use templates for Prometheus, Grafana, Jaeger, Kiali, and OpenTelemetry integration with Istio and Linkerd \n Provides golden signals framework (latency, traffic, errors, saturation) wi

Category: test

Comprehensive patterns for infrastructure monitoring, LLM observability, and quality drift detection. Each category has individual rule files in rules/ loaded on-demand.