Skill UI

This comprehensive guide provides structured troubleshooting and error handling advice for developers integrating with the Workhuman Social Recognition and Rewards APIs. It covers critical API concepts, including OAuth 2.0 authentication, managing point-based nominations, and synchronizing data with major HRIS systems like Workday and SAP SuccessFactors. Use this resource when building complex HR workflows or integrating Workhuman into platforms like Slack or Teams.

This guide provides comprehensive details for integrating with the Workhuman Social Recognition and rewards API. It covers key concepts such as OAuth 2.0 authentication, peer-to-peer recognition workflows, award configurations, and bidirectional synchronization with major HRIS systems like Workday and SAP SuccessFactors. Use this skill to build automated, engaging reward and recognition processes within enterprise applications.

XcodeBuildMCP is a unified skill set designed to streamline the entire mobile and desktop development lifecycle. It replaces raw command-line tools like xcodebuild, xcrun, and simctl, providing structured workflows for iOS, macOS, watchOS, tvOS, and visionOS. Capabilities include project discovery, managing simulator and physical device workflows, advanced UI automation (gestures, view inspection), robust logging, and deep debugging using LLDB. It simplifies complex build, test, and run operations across multiple platforms.

This skill provides real-time object detection capabilities by leveraging the Google Coral Edge TPU accelerator. It operates natively within Windows Subsystem for Linux (WSL), allowing high-speed, low-latency inference on live camera frames. By utilizing hardware acceleration, it achieves impressive performance (e.g., ~4ms inference at 320x320), making it ideal for edge computing projects requiring rapid visual analysis and resource efficiency.

A comprehensive guide for simulating a full Software Development Life Cycle (SDLC) using specialized AI roles. It defines protocols for managing cross-functional teams (Dev, QA, DevOps, Product), covering sprint planning, codebase management, bug tracking, and deployment, ensuring context survival across multiple chat sessions.

A comprehensive guide for writing, debugging, and maintaining Windows batch files (.bat/.cmd). This skill covers advanced CMD scripting techniques, including environment variable management, complex control flow (IF, FOR), argument parsing, delayed expansion, and command chaining. Ideal for automating system tasks, creating command-line utilities (CLI), managing deployments, or writing scheduled task scripts in Windows environments.

A robust application framework for Go, built on dig, designed for managing complex, long-running services. It provides advanced features including dependency injection (DI), structured lifecycle hooks (OnStart/OnStop), a modular system, and signal-aware run loops. It ensures services can manage graceful shutdowns and maintain architectural integrity.

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.

A comprehensive, single-screen Kanban board prototype designed for visualizing agile project management and sprint tracking. It features distinct columns (Backlog, In Progress, Review, Done), draggable cards, assignee avatars, and advanced filtering options, making it ideal for managing product backlogs, simulating tools like Trello, or visualizing complex workflows.

This skill provides comprehensive knowledge for building robust and native Unix-style command-line interfaces (CLIs) in Go using the industry-standard spf13/cobra library. It covers command tree structuring, flag management (local and persistent), advanced argument validation, and managing the entire execution hook lifecycle (PreRunE, RunE, etc.). Essential for any Go project requiring a sophisticated CLI structure.

This skill generates comprehensive, tailored instruction files for AI coding assistants like GitHub Copilot and Claude. It supports multiple strategies (flat or nested) and is specifically designed for managing complex monorepos by creating area-scoped instructions using `applyTo` globs. Use it to standardize AI tooling usage across large codebases.

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.