Skill UI

This guide provides comprehensive SDK patterns and API documentation for integrating Workhuman Social Recognition and rewards systems. It covers key concepts like OAuth 2.0 authentication, peer-to-peer nominations, configurable award levels, and bidirectional synchronization with major HRIS platforms (Workday, SAP). Use this resource when building custom recognition workflows or integrating Workhuman functionality into enterprise systems.

Provides a granular, paragraph-level structural blueprint for preparing top-tier systems conference papers (e.g., OSDI, SOSP, ASPLOS). This guide includes detailed page allocations, mandatory section templates (Abstract, Design, Evaluation), and proven writing patterns (Gap Analysis, Observation-Driven) to ensure the paper meets the high standards of academic systems research.

This tool analyzes and refactors code to detect and correct anemic domain models. It enforces rich domain modeling patterns (Entities, Value Objects, Aggregates, Domain Events), improving encapsulation and business logic ownership. Use it when validating, reviewing, or refactoring core domain logic to ensure adherence to Domain-Driven Design (DDD) principles.

This tool reads your local GitHub Copilot CLI conversation history using the specialized `vardoger` CLI. It analyzes your behavioral patterns, coding conventions, and usage style to generate a personalized instructions block. This block is written directly to your local Copilot configuration file, allowing the assistant to adapt its guidance and suggestions specifically to your unique habits and preferences. The process runs entirely offline, ensuring maximum privacy.

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 automates the process of making any codebase ready for advanced AI assistance. It analyzes your repository structure, review patterns, and stack details to generate essential configuration files, including AGENTS.md, copilot-instructions.md, CI workflows, and issue templates. Use this when setting up a new project or integrating advanced AI tooling into your existing development workflow.

This utility displays the precise, real-time token usage and estimated cost savings for the current session. It reads directly from the internal session log, ensuring objective and accurate data without requiring AI computation. Triggered by /caveman-stats, it provides immediate performance metrics to monitor API costs and usage patterns.