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.

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 guide outlines architectural patterns and best practices for building scalable, production-ready APIs with FastAPI. It covers proper project structure, separating concerns using routers, services, and CRUD layers, implementing dependency injection for database sessions and authentication, defining Pydantic schemas for request/response, handling asynchronous operations, and managing custom error responses.

The CommunityToolkit.Mvvm Messenger provides a robust Publish/Subscribe messaging system for ViewModels and other objects. It allows multiple components to communicate asynchronously without holding direct references, effectively eliminating tight coupling. Supports various messaging patterns, including simple value broadcasts, request/reply (sync/async), and collection requests, making it ideal for complex applications using WPF, WinUI 3, .NET MAUI, or Avalonia.

A powerful solution for handling background jobs and asynchronous tasks within Django applications using Celery. It facilitates task queuing, reliable worker management, scheduled execution (cron jobs), and robust error handling. Ideal for sending emails, processing heavy data loads, or managing complex, multi-step workflows without blocking the main thread.

The RunAPI CLI serves as the dedicated execution layer for interacting with RunAPI's suite of advanced AI models. It allows developers to programmatically generate multimodal content, including images, videos, and music/audio, directly from the terminal or CI/CD pipeline. Users can submit one-off jobs, manage asynchronous tasks, and pass complex JSON request bodies to various services like Suno, Claude, and Gemini, making it essential for robust AI automation workflows.

This CLI tool automates the entire issue triage lifecycle for Linear and Jira. Users can pull backlogs, cluster duplicates, apply labels, reassign owners, and post detailed summaries—all directly from the shell. It is ideal for weekly backlog cleanup, post-release bug sweeps, and synchronizing data between multiple tools (e.g., Sentry to Linear).

This tool parses a structured, multi-shot video script (following the ai-video-script format) and automatically generates a time-coded SRT subtitle file. It calculates cumulative timestamps based on the duration of each shot, ensuring accurate subtitle cues that sync with the voiceover content across the entire sequence. Ideal for the post-production stage of short-form video creation.

An internal utility designed for deep investigation of JavaScript or TypeScript stack traces. It analyzes complex runtime errors, providing specific checks for asynchronous boundaries, module resolution issues, JSON parsing failures, and type contract violations. It aids developers by generating minimal reproduction commands and identifying potential patch targets for robust error handling.

A powerful DI extension point for Website Builders, allowing developers to inject custom query parameters into all live preview URLs. This is essential for integrating complex features like signed tokens, tenant identifiers, or feature flags directly into the preview experience. It supports asynchronous operations, such as fetching remote authorization tokens, ensuring robust customization across the editor iframe and generated links.