Skill UI

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.

Generates a complete, single-page SaaS landing page structure. This tool produces a fully contained HTML file, integrating required sections such as Hero, Features, Social Proof, Pricing, and Call-to-Action (CTA). It strictly adheres to an existing design system for colors, typography, and layout, making it ideal for product launches and marketing campaigns.

This skill provides a scaffold for building complex, composable recommendation, ranking, and feed pipelines. It implements the robust six-stage pattern (Source→Hydrator→Filter→Scorer→Selector→SideEffect), which is the industry standard for determining "top K items." Use it for social feeds, content CMS ranking, RAG reranking, or any system needing complex candidate prioritization.

This skill helps developers fix social sharing previews, ensuring that URLs render as rich, consistent cards across major platforms like Facebook, LinkedIn, X/Twitter, and WhatsApp. It provides standardized implementation for Open Graph (OG) tags and Twitter cards, crucial for improving SEO and discoverability.

This skill provides a comprehensive solution for monitoring brand impersonation attacks across multiple digital vectors. It systematically scans domains, social media platforms, mobile app stores, and the dark web to detect phishing campaigns, typosquatting, and unauthorized brand usage. It is essential for security teams conducting proactive threat intelligence gathering and vulnerability assessments to safeguard brand integrity.

This skill provides comprehensive integration with the X (Twitter) API, enabling users to programmatically post, read, search, and analyze tweets and timelines. It covers essential authentication patterns (OAuth 2.0 and OAuth 1.0a), rate limit handling, and best practices for building robust X integrations and bots.

A comprehensive guide for authors assessing the fit of their computer science manuscript for the ACM CSCW conference. It provides expert advice on positioning, required evidence (empirical depth, design implications), scope vocabulary (collaboration systems, social platforms), and structuring the paper to maximize acceptance chances in social computing venues.

A framework for transforming empirical findings into portable, testable theoretical arguments, especially for comparative and longitudinal social science research. It guides the user to structure a macro–micro mechanism (e.g., how an institution influences individual choices) and derive cross-level hypotheses, ensuring the argument is generalizable and robust enough for high-level academic publication.

This guide provides a comprehensive model of the academic review process used at FAccT. It details the interdisciplinary nature of the review panel (CS, law, social science), the OpenReview workflow, and the strategic implications of the 'Accept/Revise/Reject' decision set. It guides authors on navigating the stages, including rebuttals and revise-and-resubmissions.

This guide teaches advanced methods for developing robust theoretical arguments in Human Resource Management (HRM) manuscripts. It focuses on moving beyond simple correlation by articulating precise causal mechanisms—such as AMO, signaling, and social exchange—to build testable predictions a priori. It is essential for avoiding common academic pitfalls like HARKing and construct conflation.