Skill UI

This guide provides comprehensive technical details and rate limit guidance 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, and bidirectional synchronization with major HRIS systems (e.g., Workday, SAP). Use this when developing applications that automate employee recognition, manage rewards, or build complex HR workflows.

This guide provides the reference architecture for integrating Workhuman's Social Recognition and rewards APIs. It details key concepts like OAuth 2.0, peer-to-peer recognition, and configurable awards. Use this skill when building complex employee recognition workflows, syncing data bi-directionally with HRIS systems (e.g., Workday, SAP), or integrating with collaboration tools like Slack and Microsoft Teams.

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.

Expert assistance for building, modifying, and debugging Minecraft server plugins for the Paper, Spigot, and Bukkit ecosystems. This includes implementing complex gameplay mechanics such as minigames, advanced combat systems, persistent player progression (perks, economy, quests), custom command handling, and robust state management. We handle configuration, listener registration, and adherence to best practices for Java-based server API usage.

This skill guides the design and optimization of production-grade multi-agent systems. It specializes in using LangGraph, LangChain, and DeepAgents to create structured, complex AI workflows. It covers state management, agent routing, memory integration, and tool calling, making it ideal for building robust, scalable agents like supervisors, planners, and coders.

This skill provides a structured, persistent architecture for building multi-agent operating systems within LLM environments. It defines a kernel, specialist agents, command layers, and file-based state management, allowing complex workflows to survive session restarts without external databases. Ideal for codifying persistent "personal OS" or enterprise project automation on platforms like Claude Code.