Skill UI

Guidance for positioning autonomous AI agents, addressing accountability objections, choosing between copilot/agent/teammate framing, and pricing variable-cost AI when selling to enterprises that fear operational breakages.

This skill guides the design, implementation, and auditing of inclusive digital products based on WCAG 2.2 standards. It covers the POUR principles and provides technical guidance for generating semantic ARIA (Web) and native accessibility traits (iOS/Android). Use it when defining UI components, auditing compliance gaps, or ensuring robust keyboard navigation and focus management.

An elite advisory skill designed for CTOs, IT Managers, and digital leaders. It acts as a collective intelligence of eight experts, providing comprehensive guidance on modern IT strategy, governance, and operational excellence. Core capabilities include FinOps management, AI governance roadmapping, C-suite executive communication, and aligning technology investments with core business value.

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 debug bundle provides comprehensive guidance and core API endpoints for integrating the Workhuman Social Recognition and rewards system. It covers essential concepts like OAuth 2.0 authentication, peer-to-peer nominations, award levels, and bidirectional synchronization with major HRIS systems (e.g., Workday, SAP). Use it for building robust recognition workflows and debugging API interactions.

Provides expert guidance on building, optimizing, and analyzing growth-driving programs. This skill covers the fundamental differences between customer referral schemes and paid affiliate models. Learn to identify key trigger moments, structure compelling incentive mechanisms (single/double-sided), and calculate optimal reward sizes to maximize viral loops and scale customer acquisition for sustained business growth.

Provides C-level strategic guidance for startups deciding on advanced AI implementation. Covers critical decisions including model build-vs-buy analysis (API vs. fine-tune vs. in-house), regulatory compliance risk assessment (EU AI Act, NIST RMF), economic modeling for self-hosting breakeven, and optimal AI team scaling. This is a high-level advisory tool, not a tactical engineering guide.

This skill provides strategic guidance for CCOs and founders in designing advanced customer success operations. It covers honest retention decomposition (analyzing GRR vs NRR), developing differential customer segmentation strategies based on ICP fit, modeling optimal CS team coverage (pooled vs. named), and mapping the ideal CS organizational structure. Ideal for strategic planning and business resource allocation.

Provides high-level strategic guidance for founders and Chief Data Officers (CDOs) in startups. This skill covers critical decisions such as AI training data rights and consent provenance, selecting optimal data architectures (warehouse, lakehouse, data mesh), valuing customer data as a strategic asset for M&A or fundraising, and planning data team organizational evolution. It focuses exclusively on strategic decision-making, not tactical engineering.

This tool provides strategic legal guidance for founders and startup executives, covering critical areas like contract risk review (MSA, NDA, DPA), intellectual property strategy, term sheet decoding, and global regulatory compliance (GDPR, HIPAA, etc.). It surfaces key questions and potential traps to ensure thorough review before legal commitment. NOTE: This is not a substitute for licensed attorney advice.

An operational compliance tool for the EU AI Act (Regulation (EU) 2024/1689). It assists compliance teams with three critical decisions: classifying AI risk tiers (prohibited, high, limited, minimal), planning conformity assessment routes for high-risk systems (Module A vs. Module H), and tracking role-specific obligations for providers, deployers, and importers. Provides article-cited guidance for system intake and regulatory planning.