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Found 92 Skills
Instrument web applications to send telemetry data to Azure Application Insights for observability and monitoring. USE FOR: instrument app with app insights, add appinsights instrumentation, configure application insights, set up telemetry monitoring, enable app insights auto-instrumentation, add observability to azure web app, instrument webapp to send data to app insights, configure telemetry for app service. DO NOT USE FOR: non-Azure monitoring (use CloudWatch for AWS, Datadog for third-party), log analysis (use azure-kusto), cost monitoring (use azure-cost-optimization), security monitoring (use azure-security).
Instrument a webapp to send useful telemetry data to Azure App Insights
Expert guidance for emitting high-quality, cost-efficient OpenTelemetry telemetry. Use when instrumenting applications with traces, metrics, or logs. Triggers on requests for observability, telemetry, tracing, metrics collection, logging integration, or OTel setup.
Expert guidance for configuring and deploying the OpenTelemetry Collector. Use when setting up a Collector pipeline, configuring receivers, exporters, or processors, deploying a Collector to Kubernetes or Docker, or forwarding telemetry to Dash0. Triggers on requests involving collector, pipeline, OTLP receiver, exporter, or Dash0 collector setup.
Implement OpenTelemetry (OTEL) observability - Collector configuration, Kubernetes deployment, traces/metrics/logs pipelines, instrumentation, and troubleshooting. Use when working with OTEL Collector, telemetry pipelines, observability infrastructure, or Kubernetes monitoring.
Analyze Azure resource health, diagnose issues from logs and telemetry, and create a remediation plan for identified problems.
Guide for Workleap's logging library (@workleap/logging) that provides structured, composable logging for frontend TypeScript applications. Use this skill when: (1) Setting up logging in a Workleap frontend application (2) Creating or configuring loggers (BrowserConsoleLogger, CompositeLogger) (3) Understanding log levels (debug, information, warning, error, critical) (4) Building complex log entries with chained segments (withText, withObject, withError) (5) Using logging scopes to group related log entries (6) Styling log output in browser console (7) Composing multiple loggers to send logs to different destinations (8) Filtering logs by severity level (9) Integrating logging with LogRocket or other telemetry tools (10) Reviewing logging-related changes in pull requests (11) Questions about logging best practices specific to wl-logging
Instrument applications with OpenTelemetry SDK and validate telemetry using Kopai. Use when setting up observability, adding tracing/logging/metrics, testing instrumentation, or debugging missing telemetry data.
Grafana Alloy OpenTelemetry collector and telemetry pipeline configuration. Covers the Alloy configuration language (blocks, attributes, expressions), components for collecting metrics/logs/traces/profiles, sending data to Grafana Cloud/Prometheus/Loki/Tempo, clustering, Fleet Management remote config, and building telemetry pipelines. Use when configuring Alloy, writing Alloy config files (.alloy), building data collection pipelines, setting up scraping, or troubleshooting Alloy deployments.
This skill should be used when the user asks to "investigate an issue", "debug a problem", "find out why something is slow", "check error rates", "analyze user behavior", "understand a production incident", "query telemetry data", "look at logs", "check traces", "examine spans", "analyze RUM data", "check frontend performance", "investigate backend latency", "find transaction data", "check payment metrics", "analyze user journeys", or wants to answer questions using observability data from logs, metrics, traces, RUM, or APM - this is the gateway skill for deciding where to look first.
Onboard a project to Superlog by installing OpenTelemetry traces, logs, and metrics across every app and service in the repo. Triggers on requests like 'install Superlog', 'set up Superlog', 'add Superlog telemetry', 'onboard this repo to Superlog', 'instrument with OpenTelemetry for Superlog'.
OpenTelemetry Semantic Conventions expert. Use when selecting, applying, or reviewing telemetry attributes, span names, span kinds, or span status codes. Triggers on tasks involving attribute selection, naming telemetry, semantic convention compliance, attribute migration, or custom attribute decisions. Covers the attribute registry, naming patterns, status mapping, attribute placement, and versioning.