Monitoring

Instrumenting Go applications with OpenTelemetry for distributed tracing, Prometheus for metrics, and structured logging with slog. Covers auto-instrumentation, health checks, and graceful shutdown. Use when adding observability to microservices or debugging production issues.

Implements structured logging and observability with Axiom for serverless applications. Use when adding logging, tracing, and Web Vitals monitoring to Next.js and Vercel applications.

View and analyze WaveCap-SDR server logs, debug output, and error messages. Use when troubleshooting server issues, debugging API errors, monitoring SDR device status, or investigating capture/channel problems.

AI agent that analyzes operational signals (metrics, logs, traces, alerts, SLO/SLI reports) from observability platforms (Prometheus, Datadog, New Relic, CloudWatch, Grafana, Elastic) and produces practical, risk-aware triage and recommendations. Use when reviewing system health, investigating performance issues, analyzing monitoring data, evaluating service reliability, or providing SRE analysis of operational metrics. Distinguishes between critical issues requiring action, items needing investigation, and informational observations requiring no action.

Datadog CLI for searching logs, querying metrics, tracing requests, and managing dashboards. Use this when debugging production issues or working with Datadog observability.

Set up Prometheus for comprehensive metric collection, storage, and monitoring of infrastructure and applications. Use when implementing metrics collection, setting up monitoring infrastructure, or configuring alerting systems.

Instrumenting Go applications with OpenTelemetry for distributed tracing, Prometheus for metrics, and structured logging with slog

Expert knowledge for deploying and operating Composable Rust applications in production. Use when setting up database migrations, configuring connection pools, implementing backup/restore procedures, tuning performance, setting up monitoring and observability, or handling operational concerns like disaster recovery and production database management.

AI-powered PR Author Agent that transforms Observability Diff Plans into Pull Requests. Use when: (1) Generating instrumentation code from Scout Agent output, (2) Creating OTel configuration, correlation headers, lineage specs, (3) Scaffolding telemetry validation tests, (4) Creating GitHub/GitLab PRs with observability artifacts. Triggers: "generate PR from diff plan", "create instrumentation PR", "scaffold observability code", "generate OTel config", "create telemetry PR".

Query and interact with Prometheus HTTP API for monitoring data. Use when Claude needs to query Prometheus metrics, execute PromQL queries, retrieve targets/alerts/rules status, access metadata about series/labels, manage TSDB operations, or troubleshoot monitoring infrastructure. Supports instant queries, range queries, metadata endpoints, admin APIs, and alerting information.

Time with Clock/Duration, tracing spans, and structured logging. Use for time-based logic, deadlines, and observability.

Performance monitoring and regression prevention. Lighthouse CI, performance budgets, Core Web Vitals monitoring, alerting. Keep sites fast over time.

Enterprise DevOps with Kubernetes 1.31, Docker 27.x, Terraform 1.9, GitHub Actions, monitoring with Prometheus/Grafana, and cloud-native architectures

Logging, tracing, metrics fundamentals

AI-powered PR Author Agent that transforms Observability Diff Plans into Pull Requests. Use when: (1) Generating instrumentation code from Scout Agent output, (2) Creating OTel configuration, correlation headers, lineage specs, (3) Scaffolding telemetry validation tests, (4) Creating GitHub/GitLab PRs with observability artifacts. Triggers: "generate PR from diff plan", "create instrumentation PR", "scaffold observability code", "generate OTel config".

Use this skill whenever the user wants to improve or set up logging, tracing, metrics, and monitoring for Cloudflare Workers/Pages (e.g. Hono + TypeScript), including Wrangler tail, Workers Analytics, log structure, and integration with external tools like Sentry.

Automatically applies when adding logging and observability. Ensures structured logging, OpenTelemetry tracing, LLM-specific metrics (tokens, cost, latency), and proper log correlation.

Setup Sentry Tracing (Performance Monitoring) in any project. Use this when asked to add performance monitoring, enable tracing, track transactions/spans, or instrument application performance. Supports JavaScript, TypeScript, Python, Ruby, React, Next.js, and Node.js.

General-purpose browser automation skill for Playwright. Use this skill when the user wants to automate browser tasks like testing login flows, scraping data, taking screenshots, filling forms, clicking elements, or any interactive web automation. This skill provides smart utilities for session management, error handling, and development server detection. NOT for scheduled monitoring (use web-monitor-bot instead).

This skill should be used when the user asks to "add logging", "implement metrics", "add tracing", "configure Prometheus", "setup OpenTelemetry", "add health checks", "monitor API", or mentions observability, APM, monitoring, structured logging, distributed tracing, or Grafana. Provides comprehensive observability patterns.