Skill UI

Provides a standardized and robust skeleton for developing full-stack extensions that integrate both a backend API service and a frontend Admin UI. This pattern enforces clear separation of concerns, utilizing shared domain layers for data consistency while ensuring that API and Admin code are correctly registered using specific entry points. Ideal for complex applications requiring unified management interfaces and robust backend logic.

This component provides comprehensive audit event collection, processing, and storage for Kubernetes and KubeSphere environments. It integrates into the KubeSphere Observability Platform, allowing users to monitor, archive, and query critical audit events using dedicated APIs. Supports multiple data sinks, including OpenSearch and Doris, making it essential for robust security monitoring and compliance auditing.

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 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 security and integration details for the Workhuman Social Recognition and rewards API. Learn how to implement OAuth 2.0, manage peer-to-peer nominations, and sync data bidirectionally with major HRIS platforms like Workday and SAP SuccessFactors. Use cases include building custom recognition workflows and integrating with popular tools like Microsoft Teams and Slack.

This skill is designed for implementing robust GraphQL APIs using the Golang language. It is essential when building complete GraphQL servers, designing complex schemas, writing data resolvers, handling real-time subscriptions, or integrating GraphQL features into existing Go HTTP services. It applies when using libraries like gqlgen or graphql-go.