Skill UI

This skill performs comprehensive, feature-level integration validation after all associated development tasks are implemented. It goes beyond checking individual tasks to ensure cross-task consistency, full test suite passage, and complete specification coverage. It validates data flow, architectural adherence, and performs critical security scans for residual issues (e.g., TODOs, hardcoded secrets), providing a holistic GO/NO-GO assessment for deployment. Use this skill as a final quality gate to verify that the completed feature set respects the designed boundaries and dependencies end-...

A comprehensive guide for connecting resource-constrained microcontrollers (like Arduino) to Azure IoT Hub and IoT Edge. It provides structured patterns for secure provisioning, handling intermittent networks (store-and-forward), robust telemetry transmission (MQTT over TLS), and implementing local edge decision-making for industrial and field deployments.

This skill guides users through building comprehensive Smart City and IoT solutions on the Azure platform. It covers the entire solution lifecycle, from initial high-level requirements and defining city domains (e.g., traffic, energy) to designing robust, scalable architectures. Outputs include detailed reference architectures, security checklists, cost strategies, and phased implementation roadmaps for enterprise deployment.

This skill generates comprehensive, single-page engineering runbooks. It structures critical operational information, including service overviews, alert response tables, common deployment procedures, on-call rotations, and incident response checklists. It is essential for DevOps, SRE, and engineering teams creating standardized operational documentation (Ops Docs).

Automates the end-to-end software release workflow for a GitHub repository. This skill handles Semantic Versioning (SemVer) version bumping, analyzes code changes by generating sophisticated diffs, and automatically creates a formatted changelog and release pull request. It relies exclusively on the GitHub CLI (gh) and Git for robust version control and deployment.

KubeStellar Console is an open-source, multi-cluster Kubernetes dashboard (CNCF project) that provides advanced operational capabilities powered by an MCP server and built-in AI agent skills. It helps manage complex deployments across edge and cloud environments, offering AI-assisted troubleshooting, performance testing, and deep integration with major CNCF projects like Argo and Istio.

Squirrel is an advanced, full-cycle AI coding skill designed to guide software development from concept to production. It automatically detects the current project state (greenfield, in-progress, or mature) and adapts an 8-phase engineering pipeline. This comprehensive workflow covers planning, building, rigorous testing, bug hunting, code polishing, documentation, and deployment readiness, ensuring high-quality, maintainable results.

This comprehensive, zero-trust security auditor scans third-party AI agent skills before installation. It performs a rigorous 6-phase review process, analyzing surface patterns, script integrity, permissions, and supply chain risks. It is designed to detect malicious payloads, credential theft, instruction overrides, and prompt injection attacks, ensuring secure AI development and deployment.

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.

Performs a comprehensive external audit of a deployed repository's state, going beyond simple code review. It checks for critical production gaps, including RLS misconfigurations, webhook idempotency issues, secret exposure, deployment health, and prompt injection vulnerabilities. Ideal for pre-launch gates and ensuring code stability before going live.

Methodology for capturing, analyzing, and replaying LoRaWAN and sub-GHz wireless traffic. Useful for testing IoT deployments, fixed-code remotes, garage doors, TPMS, and other devices in 433/868/915 MHz bands.