Skill UI

This skill performs advanced pathway and gene-set enrichment analysis crucial for interpreting gene lists (e.g., DE genes, screen hits). It distinguishes between Over-Representation Analysis (ORA) for thresholded lists and Gene Set Enrichment Analysis (GSEA) for full ranked lists. Supports scoring pathway activity (ssGSEA/GSVA) and utilizes major databases like GO, KEGG, Reactome, and MSigDB for comprehensive biological interpretation, ensuring publication-ready results.

An expert guide and framework for finding, qualifying, and scoring potential leads across B2B SaaS, general B2B, and local small businesses. It guides users through defining the Ideal Customer Profile (ICP), sourcing multiple data streams, verifying contacts, and prioritizing targets into an actionable, scored outreach list.

This powerful orchestrator guides the planning, funding, scoping, and synthesis of enterprise research across four critical domains: clinical R&D, finance, market analysis, and product usability. It acts as a central hub, routing complex inquiries to specialized sub-skills and generating structured digests with actionable insights and critical 'grill challenges' for operational rigor.

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.

This skill acts as an expert architect for designing robust, production-grade data pipelines. It guides users through three intelligent extraction modes: API-Driven (Firecrawl), Local Python, and Hybrid. It enforces industry best practices, including comprehensive input validation, secure API key handling, pagination logic, and resource budget tracking, ensuring reliable data retrieval from web sources or local files.

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 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.

This skill serves as an alias for the comprehensive debugging toolkit, enabling users to perform smart, guided debugging sessions. It assists in identifying errors, improving code quality, and walking through complex technical processes. Use it when you need structured help with debugging code in a defined environment.

Manages the deployment of local applications and websites to the Vercel platform. This skill intelligently detects the project's current state (e.g., if it is already linked or if git is available) and guides the user through the optimal deployment method. It prioritizes establishing a permanent git-push connection to facilitate a seamless Continuous Integration/Continuous Deployment (CI/CD) workflow. Use when the user explicitly requests deployment actions.

A comprehensive reference guide detailing best practices, rules, and optimizations for building high-performance React Native and Expo applications. It covers critical areas such as list virtualization, complex animations, UI patterns, state management, and monorepo structure, helping developers avoid common pitfalls and maximize app speed and stability.

This skill helps manage and execute steps within a Test-Driven Development (TDD) workflow cycle. Note that this skill serves as an alias for `tdd-workflows-tdd-cycle`, maintaining discoverability. It guides users through the complete TDD development cycle, ensuring structured testing and validation steps.