Skill UI

This guide provides comprehensive instructions for handling Workhuman webhooks events, focusing on employee recognition and rewards APIs. It details key concepts like OAuth 2.0, peer-to-peer recognition, and reward redemption. Use this skill when integrating Workhuman Social Recognition into existing HRIS systems (like Workday or SAP) or automating internal recognition workflows.

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.

This guide outlines a sophisticated development workflow using dedicated subagents for each independent task within a plan. It mandates a two-stage review process—first for specification compliance, then for code quality—ensuring highly reliable, high-quality, and rapidly iterative development cycles while maintaining strict context isolation.