Skill UI

This skill guides the end-to-end development, implementation, and validation of production-ready Python modules for Azure IoT Edge. It covers critical aspects including telemetry processing, protocol adaptation (Modbus, OPC-UA), local inference, and ensuring robust, secure edge-to-cloud messaging under variable network conditions.

This assistant guides users through managing Azure resources entirely via the command line using the Azure CLI (`az`). It identifies the correct commands, prompts for missing required parameters (like resource groups or locations), constructs the full command sequence, executes the action, and diagnoses any output errors to ensure successful deployment and configuration of services across Compute, Networking, and other Azure domains.

This skill fetches and compares live pricing for various Azure services, such as Virtual Machines, Storage, and SQL Databases. It utilizes the Azure Retail Prices API to allow users to check costs in specific geographic regions or compare the same service across multiple regions, helping them find the most cost-effective deployment option.

Offensive cloud security methodology for AWS, Azure, and GCP. Covers identity discovery, credential harvesting, enumeration, privilege escalation, persistence, data exfiltration, lateral movement, serverless abuse, Kubernetes paths, and detection evasion during authorized assessments.

This comprehensive playbook details expert techniques for exploiting Server-Side Request Forgery (SSRF). It covers bypassing URL filters, accessing cloud metadata endpoints (AWS, GCP, Azure), utilizing advanced protocols like Gopher, and chaining vulnerabilities to achieve Remote Code Execution (RCE) in real-world scenarios. Ideal for penetration testers and security researchers.

A comprehensive guide on embedding before-and-after screenshots directly into pull request descriptions. This skill helps reviewers visualize UI changes, layout adjustments, and data visualizations instantly, without needing to check out the branch. Includes best practices for image sizing, structured Markdown patterns, and specific API/upload guidance for Azure DevOps and GitHub.

Provides a comprehensive, step-by-step workflow for developers to integrate new Azure Backup commands into the Azure Backup MCP toolset. It covers the entire development lifecycle, including option definition, service implementation, command logic, command registration, input validation, writing unit tests, and executing live/recorded tests, ensuring high quality and adherence to best practices before PR submission.

This tool generates comprehensive weekly telemetry reports for the Azure Backup MCP toolset. It queries live production data from Kusto, performing advanced error analysis and classifying failures into three categories: Customer error, Azure Service failure, or MCP Tool Bug. The report correlates usage metrics with merged PRs and releases, producing an Outlook-compatible HTML summary for assessing tool health and stability.

The `te` CLI is a powerful, cross-platform command-line tool designed for managing complex semantic models (supporting Power BI, Fabric, Azure AS, SSAS). It allows users to scaffold, inspect, edit, validate, deploy, query, and test models entirely from the terminal. This makes it indispensable for implementing automated data workflows, CI/CD pipelines, and migrating model development from traditional GUIs.