Skill UI

Act as an expert guide for architecting comprehensive, implementation-ready design systems tailored for luxury brands. This skill generates structured guidelines covering style foundations, design tokens, component anatomy, state management, and rigorous accessibility criteria (WCAG). It ensures consistency, adherence to a high-end visual aesthetic, and provides actionable, code-review-ready documentation.

This skill guides the user to act as an expert author of comprehensive, implementation-ready design system guidelines for a cyber-slick, dark, Matrix-inspired interface. It covers foundational constraints, color tokens, typography scales, component anatomy, accessibility requirements (WCAG 2.2 AA), and content standards, ensuring technical rigor and visual consistency for engineering and design teams.

This skill functions as an expert design system author, generating comprehensive, implementation-ready guidelines based on specific brand aesthetics (e.g., Riso). It covers design tokens, component anatomy, accessibility criteria (WCAG 2.2 AA), writing tone, and anti-patterns. It ensures deep consistency and usability for engineers and designers.

Acts as an expert guide for generating comprehensive, implementation-ready design system documentation. It enforces strict best practices covering visual foundations, component anatomy, accessibility standards (WCAG 2.2 AA), and structured writing workflows, ensuring consistency and clarity for engineering and design teams.

This skill simulates a Data Protection Officer (DPO) audit, pressure-testing privacy compliance across six critical, Article-cited GDPR areas. It is essential for pre-annual audits, post-breach assessments, DPA investigations, and M&A due diligence, ensuring readiness across RoPA, lawful basis, DPIA, DSAR, and international data transfers.

A comprehensive guide for integrating Microsoft Graph SDK into applications. It covers accessing Microsoft 365 data (users, mail, calendar, Teams, SharePoint) from various languages (.NET, Python, TypeScript). Key topics include robust authentication patterns (Managed Identity, OBO), advanced data retrieval techniques like pagination, delta queries, batch requests, and setting up change notifications via webhooks. Learn best practices for secure and efficient API interaction.

A comprehensive guide for designing and implementing robust Infrastructure as Code (IaC) using Terraform or OpenTofu. Covers module hierarchy design, best practices for naming conventions, structuring multi-environment pipelines, advanced testing strategies (native tests, Terratest, static analysis), and integrating security scanning (trivy, checkov) into CI/CD workflows.

A comprehensive guide to production-grade patterns and common pitfalls when using Prisma ORM with TypeScript backends. Covers optimizing schema design, implementing complex queries, managing transactions, handling pagination strategies, and addressing critical traps like connection exhaustion in serverless environments.

This advanced skill manages complex, large-scale development tasks by coordinating multiple, specialized subagents in parallel. It systematically decomposes the goal into isolated missions, manages resource quotas (token usage), and handles error recovery across multiple files and components. Ideal for large feature builds, system refactoring, or complex applications requiring multiple, concurrent roles (Planner, Builder, Tester).

This orchestrator acts as a central hub for Go development, managing the complexity of modern software projects. Instead of using single skills, it reads the task context (e.g., building gRPC, debugging a panic) and automatically loads the most relevant combination of specialized skills (like testing, error handling, safety, or security) simultaneously. It ensures comprehensive coverage throughout the entire Go development lifecycle, making it ideal for advanced AI coding agents.

Invariant-Guard enforces a correctness-first approach to algorithm design. Instead of writing code and hoping it works, this skill mandates defining the function contract, loop invariants, termination arguments, and all potential edge cases *before* implementation. It is essential for complex algorithms where subtle bugs (like off-by-one errors or missed post-conditions) are common, ensuring mathematically rigorous and verifiable code.

Polis Protocol transforms static AI agent workflows into a self-improving, dynamic team environment. It uses a learning router to assign tasks based on an agent's historical track record and effectiveness on specific domains, rather than fixed roles. It is vendor-agnostic, allowing diverse agents (e.g., Claude, Gemini) to collaborate under a unified, auditable governance structure where agents can propose and vote on amending the protocol's core rules.