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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 skill provides guidance for integrating Workhuman's core recognition and rewards APIs. It supports building automated workflows for employee engagement, covering peer-to-peer and manager nominations, configurable awards (Bronze to Platinum), and linking company values. Key functionalities include bidirectional synchronization with major HRIS systems (like Workday and SAP) and native integrations with collaboration tools (Teams, Slack). Use this when developing sophisticated employee reward systems.

This guide provides comprehensive technical specifications and cost tuning guidance for the Workhuman Social Recognition and rewards API. It covers core concepts such as peer-to-peer recognition flow, configurable award levels, and bidirectional synchronization with major HRIS systems (Workday, SAP SuccessFactors). Use this resource when building complex, integrated employee recognition and rewards workflows across enterprise platforms.

This guide provides comprehensive instructions and API endpoints for developing localized integrations with Workhuman Social Recognition and rewards system. It covers core concepts such as OAuth 2.0 authentication, peer-to-peer recognition workflows, configurable awards, and bidirectional synchronization with HRIS platforms like Workday and SAP. Ideal for developers building custom recognition or reward management solutions.

This guide provides performance tuning and detailed API documentation for Workhuman's Social Recognition and Rewards API. It covers core concepts including OAuth 2.0 authentication, peer-to-peer nominations, configurable award levels, and bidirectional synchronization with major HRIS systems (Workday, SAP SuccessFactors). Use this resource when integrating employee recognition workflows, building reward redemption features, or connecting Workhuman to collaboration platforms like Slack and Microsoft Teams.

This comprehensive checklist provides guidance for integrating Workhuman Social Recognition and its rewards API into production environments. It covers essential API concepts, including OAuth 2.0 authentication, peer-to-peer recognition workflows, configurable award levels, and bidirectional synchronization with major HRIS systems (e.g., Workday, SAP). Use this resource when building robust and scalable employee recognition or reward management systems.

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 professional writing assistant specializes in creating clear, compelling, and highly structured documentation for Product Managers (PMs). It helps users draft, refine, and polish various deliverables—including product briefs, status updates, and executive emails—by adhering to best practices like leading with conclusions, maintaining extreme conciseness, and tailoring the tone to the specific audience (e.g., engineering team vs. executive leadership).

This skill is designed for tackling complex, multi-step software development tasks. It generates highly detailed, structured implementation plans that strictly adhere to best practices like TDD, YAGNI, and DRY. The plan breaks down features into small, atomic, executable tasks, specifying required file changes, writing initial failing tests, implementing minimum necessary code, and committing. It ensures the resulting plan is ready for efficient, autonomous execution by AI agents or human teams.

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.

This guide provides comprehensive best practices for creating, structuring, and optimizing reusable 'Skills' for advanced AI agents. It maps the concept of Test-Driven Development (TDD) onto documentation writing, covering YAML frontmatter rules, optimal description writing (focusing on trigger conditions, not workflows), and maximizing token efficiency for superior AI compliance.