Skill UI

A comprehensive toolkit for structuring prospective clinical study designs. It assists in selecting and classifying primary/secondary endpoints, estimating sample size and power for various designs (means, proportions, survival), and scoring overall study plan feasibility (GO/NO-GO). All outputs are estimates routed to specified human experts (clinicians, biostatisticians, regulatory owners), never presented as final facts or regulatory submissions.

A structured playbook for improving the time and space complexity (Big-O) of existing, slow code. This skill guides developers through systematic refactoring, focusing on identifying bottlenecks like nested loops or N+1 queries. It emphasizes applying transformations one at a time, maintaining test coverage, and measuring performance gains to ensure correct and efficient code.

This tool indexes local files or directories into a persistent FTS5 knowledge base. This allows subsequent search operations to efficiently retrieve highly relevant, focused snippets from the project source without needing to re-read the raw files every time. It is crucial for managing and searching large, complex codebases or detailed project documentation.

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.

This orchestrator converts complex markdown files (specs, reports, code reviews, slide decks) into single-file, lightly interactive HTML. It intelligently classifies the input content and routes it to the appropriate sub-skill (document, review, or slides), ensuring that long-form technical artifacts maintain density, hierarchy, and shareable structure in a browser-native format.

Meta-Apply serves as the mandatory, privileged landing gate for all self-modification patches within the skill corpus. It strictly separates the 'proposal' (read-only staging) from the 'landing' (mutation). This skill requires explicit human invocation and runs a fresh, cross-model jury audit at the time of application, ensuring that no staged patch can be applied without passing stringent, real-time security and functional checks. It acts as the final, audited authority for updating the core system skills.

Generate and implement JSON-LD structured data (Schema.org) for various web content types, including blogs, FAQs, and SaaS applications. This tool helps optimize content for search engines, enabling rich results and improving visibility in both search results and AI systems. Includes guidance for implementation in frameworks like Next.js App Router.

A comprehensive REST API for sending and receiving multi-channel messages, including iMessage (blue bubbles), SMS, and RCS. This skill allows developers to integrate messaging capabilities into server-side applications, supporting advanced features such as group messaging, reactions, typing indicators, and status callbacks. It also handles inbound messages via webhooks, making it ideal for building robust, real-time communication services that require programmatic control over messaging lifecycles.

This guide provides a systematic, safe workflow for refactoring rapidly developed or AI-generated fullstack applications. It focuses on identifying and removing dead code, fixing broken imports, and consolidating repetitive logic while strictly maintaining existing API contracts, routes, and core functionality. Use this before launch to ensure a stable, maintainable production baseline, following a 'surgery, not demolition' philosophy.

A comprehensive, end-to-end quality assurance and validation checklist for fullstack Next.js applications. This guide details steps—including TypeScript checks, linting, unit testing, SEO meta tag verification, route regression, and post-deployment smoke tests—required to ensure an application is production-ready before every major release.

This skill audits a live web page against WCAG standards. It precisely locates accessibility violations, providing a detailed, selector-grounded worklist of necessary fixes without making any changes to the code. Ideal for QA engineers and developers needing a comprehensive, non-destructive report of broken accessibility elements.

This guide provides best practices for building flexible, maintainable, and scalable React components. It emphasizes using composition patterns and compound components to avoid 'boolean prop proliferation,' while also detailing advanced concepts in component architecture, state management, and modern implementation techniques (including React 19 APIs). Ideal for refactoring complex systems or designing reusable component libraries.