Skill UI

Design and implement Arduino integration with Azure IoT Hub and IoT Edge, covering secure provisioning, resilient telemetry, command handling, and production guardrails.

Build and operate Python Azure IoT Edge modules for telemetry processing, local inference, and protocol translation. Includes deployment, observability, and production readiness checks.

WizTelemetry Notification is the core notification component of the KubeSphere observability platform. It ingests alerts, cloud events, and audit logs in a multi-tenant Kubernetes environment. It intelligently routes and distributes notifications to various channels (Email, Slack, DingTalk, etc.) based on sophisticated label matching and predefined routing rules, ensuring reliable and targeted communication in complex cloud deployments.

WizTelemetry Ruler is a core extension component within the KubeSphere Observability Platform. It provides comprehensive capabilities for defining, managing, and evaluating advanced alerting rules. Users can configure rules based on native Kubernetes events, KubeSphere auditing events, and application logs, ensuring proactive monitoring and timely alerts through sinks like AlertManager.

This extension provides comprehensive distributed tracing capabilities for the KubeSphere Observability Platform, adhering to the OpenTelemetry standard. It guides users through the entire lifecycle, including component installation (Generator, Collector, Agent), configuration, and querying complex tracing data, spans, and service graphs. It is essential for monitoring microservices and understanding complex system interactions.

This CLI alias serves as the primary interface for the Codex /pua:pro protocol, designed for advanced code operations within the Claude Code environment. It manages complex workflows related to self-evolution, platform telemetry monitoring, key performance indicators (KPIs), and system configuration updates, ensuring robust and consistent protocol adherence.

Generates weekly telemetry reports and customer adoption reports for Azure Backup MCP tools. Runs KQL queries to classify errors into Customer/Azure Service/MCP Tool Bug, identifies customers via cross-cluster joins, compares week-over-week metrics, correlates with merged PRs, and produces an Outlook-compatible HTML report.

A comprehensive guide to deploying decoy artifacts, such as fake credentials, URLs, and files, called honeytokens or canarytokens. These tokens have no legitimate operational use; therefore, any interaction with them provides a high-fidelity, low-false-positive signal of an intrusion, data theft, or insider threat. Use this technique to enhance detection in low-telemetry areas like file shares or credential stores.

Stratus Red Team is an open-source tool for detection engineering and purple teaming. It atomistically detonates granular, MITRE ATT&CK-mapped offensive techniques across AWS, Azure, GCP, and Kubernetes. The tool executes a full, repeatable lifecycle (warmup, detonate, revert, cleanup) to generate realistic attacker telemetry. Use it to validate if cloud security tools (like CloudTrail or Sentinel) reliably trigger on simulated attacks, or to safely practice red teaming.

The Application Insights JavaScript SDK is designed to instrument client-side web applications for Real User Monitoring (RUM). It automatically collects crucial telemetry, including page views, user clicks, AJAX dependencies, unhandled exceptions, and custom events. This SDK supports correlating browser-side activity with backend services and includes specialized support for GenAI agent traces following OpenTelemetry standards.

A portable, framework-agnostic system designed for robust field-side observability in React or React Native apps. It establishes a strongly typed event taxonomy, ensures best-effort, non-blocking data fan-out across multiple analytics providers, and enforces consent gates for all telemetry data. This system complements synthetic testing by capturing real user vitals (LCP, INP, CLS) and behavioral events in production.

This skill exports cost-tracking telemetry data into formats suitable for external observability platforms like Prometheus, Grafana, and Datadog. It allows cost data, previously confined to the AgentDB namespace, to be visualized and monitored in real-time dashboards via Prometheus textfile collectors or structured JSON webhooks.