Skill UI

Provides a structured workflow for systematically accessing and analyzing official intellectual property data from the USPTO. This skill covers patent search (PatentSearch API), trademark status checks (TSDR), ownership transfer tracking, and building reproducible IP landscape logs. It is designed for data collection and record verification, emphasizing the use of official APIs and rigorous logging practices. (Warning: Not for legal advice.)

This expert simulates an experienced design system author for Ant Design, specializing in structured, enterprise-focused, data-dense web applications. It generates comprehensive, implementation-ready guidelines covering design tokens, component anatomy, interaction states, accessibility requirements (WCAG 2.2 AA), and content standards, ensuring maximal clarity and consistency for development and design teams.

This is an expert guideline for creating a modern, Vercel/GitHub-inspired application design system. It provides comprehensive, implementation-ready rules, design tokens, and best practices for building a developer-first dashboard. It covers typography, layout, component states, accessibility (WCAG 2.2 AA), and includes a structured workflow for maintaining visual consistency across the entire application.

An expert guide for creating comprehensive, implementation-ready design systems based on an expressive, high-contrast artistic style. It covers design tokens, component anatomy, advanced accessibility standards (WCAG 2.2 AA), and structured content guidelines for engineers and designers.

This skill serves as an expert design-system guideline author, providing comprehensive, implementation-ready guidance for the Bento grid layout. It defines design tokens (color, spacing, typography), component anatomy, state management, and strict accessibility standards (WCAG 2.2 AA). Use this to create highly structured, scalable, and consistent UI/UX documentation for engineers and designers.

A comprehensive, 6-phase simulation of a C-suite boardroom meeting. This skill facilitates structured strategic deliberation across multiple executive domains (e.g., Finance, Product, Marketing). Key phases include independent thinking (isolation), cross-examination, and devil's advocate reviews. The output is a formal Board Memo detailing recommendations, vote tallies, explicit dissents, and critical risk assessments, ensuring robust decision-making.

This skill provides comprehensive, expert-level guidelines for authoring robust design systems. It covers foundational style tokens, strict accessibility requirements (WCAG 2.2 AA), and detailed component anatomy (states, variants, interaction behavior). Use this to create implementation-ready documentation that ensures visual consistency and optimal user experience across all digital platforms.

This skill generates expert, implementation-ready design system guidelines based on the Brutalism aesthetic. It covers foundational elements like color, typography, and spacing, while enforcing rigorous rules for accessibility (WCAG 2.2 AA) and component consistency, providing actionable standards for engineers and designers.

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.

A risk-paranoid, mandatory review process designed to interrogate any plan that touches sensitive customer data, regulatory compliance, or production access. It forces consideration of critical security pillars including STRIDE threat modeling, blast radius quantification, detection mechanisms (MTTD), incident response runbooks, regulatory notification windows, and third-party vendor security posture. Essential before deploying features handling PII, PHI, or before compliance audits (SOC 2, HIPAA, GDPR).