Skill UI

Blueprint skill describing the architecture, stack, folder layout, API patterns, and testing/deployment workflows used by the Zenith AI customer discovery platform clade. Use it as a reference when working on this dedicated project to understand expectations for frontend, backend, AI integration, and QA.

Guidelines for responding to code review feedback with technical rigor: read every comment, restate requirements, verify against the codebase, ask clarifying questions, push back when technically needed, and implement fixes one at a time with testing.

Provides step-by-step guidance on technical SEO, on-page metadata, structured data, URLs, sitemaps, and security headers to improve visibility as per Lighthouse and Google SEO guidelines.

This skill acts as a content freshness specialist, identifying outdated elements—such as statistics, dates, examples, and industry trends—within existing SEO content. It provides strategic guidelines, update priorities (High/Medium/Low), and actionable refresh plans to improve search engine rankings and maintain topical authority. Use it proactively for established but aging content to combat content decay.

This skill provides comprehensive guidelines for architecting and developing high-quality, maintainable software. It is deeply rooted in Clean Architecture and Domain-Driven Design (DDD) principles. It covers best practices for code decomposition, naming conventions, separation of concerns, and avoiding common anti-patterns. Use this skill when designing, analyzing, or developing complex, domain-specific software systems.

A comprehensive skill guide for building, reviewing, and optimizing SwiftUI code. It covers modern best practices for state management, optimal view composition, performance optimization, and adopting the latest Apple APIs, including iOS 26+ Liquid Glass features. Use this when ensuring code quality, refactoring complex views, or adhering to strict Apple design guidelines.

This skill provides advanced guidelines for designing robust and effective tools specifically for autonomous AI agents. It shifts the focus from traditional developer APIs to contracts optimized for Language Models (LLMs). Key topics covered include treating tool descriptions as prompt engineering, implementing namespacing, applying the Consolidation Principle, and utilizing Architectural Reduction patterns (like file system access) to maximize agent reliability and workflow complexity.

This skill provides opinionated and evolving constraints designed to guide AI agents effectively when building user interfaces. It offers structured patterns and guidelines, ensuring that the generated interfaces adhere to specific best practices and development rules. Use this skill when your task requires highly structured, guided output for UI development, moving beyond simple generation to guided design.

This skill provides robust guidelines and patterns for managing environment variables and sensitive credentials securely. It is designed to ensure that secrets, API keys, and other confidential information are never accidentally exposed or logged in Claude sessions, terminal outputs, development logs, or version control commits (like Git). Use this skill when handling sensitive data in development workflows to maintain maximum security.

A comprehensive guide for auditing web content against WCAG 2.2 guidelines. This skill assists users in conducting thorough accessibility audits by combining automated scans (Axe, Lighthouse) with critical manual checks, such as keyboard navigation and screen reader flow. It provides actionable remediation strategies to ensure compliance with standards like ADA and Section 508.

Guidelines for reviewing UI code against web interface best practices, covering accessibility, performance, responsive design, component patterns, CSS practices, security, and internationalization during audits or UX evaluations.

Defines strict guidelines for creating and maintaining Excel financial models, covering zero formula errors, industry color coding, number formatting, documented assumptions, and mandatory use of Excel formulas to ensure accuracy and auditability before recalculation.