Skill UI

This skill analyzes website accessibility for AI crawlers used by major platforms like OpenAI and Anthropic. It checks robots.txt configurations to prevent content from being inadvertently blocked from AI search results. Essential for maintaining visibility in AI-generated responses and ensuring proper indexing for AI search engines.

A technical SEO audit skill with GEO-specific checks for crawlability, indexability, security, performance, SSR, and AI crawler access. It helps optimize websites for AI search citation by identifying technical issues affecting visibility.

This skill enables users to add and manage structured evaluation results within Hugging Face model cards. It supports extracting evaluation tables from README files, importing benchmark scores via the Artificial Analysis API, and executing custom model evaluations using vLLM or lighteval backends. It ensures compatibility with the model-index metadata format for standardized model releases.

A senior-level tool for performing deep-dive technical SEO audits and site architecture mapping. It analyzes crawl health, indexing blocks, sitemap integrity, and structural issues (like canonicalization, link flow, and crawl budget waste). Use this to diagnose complex Google Search Console errors and propose a full, engineered roadmap for website stabilization and optimization.

A comprehensive index of 46 production-grade test automation skills, covering E2E, unit, mobile, BDD, and cloud testing across 15+ languages. This skill equips AI coding assistants to act as senior QA architects, generating structured, real-world test code for major frameworks like Playwright, Selenium, Cypress, and Jest. It supports project setup, CI/CD integration, and cross-platform debugging.

Removes Lovable.dev scaffolding from Vite + React projects including dependencies, branding, placeholder assets, and generated documentation. Helps developers ship clean, ownable codebases after exporting from Lovable. Audits package.json, vite.config.ts, index.html, and source files for Lovable fingerprints.

A comprehensive mobile design skill enforcing mobile-first, touch-first, platform-respectful principles. It includes a feasibility risk index, mandatory thinking before work, reference reading requirements, and hard bans on performance, UX, and security anti-patterns. Ideal for designing or building mobile apps with optimal user experience and performance.

Administer, optimize, and secure MongoDB NoSQL databases in development and production. Covers installation, user setup, CRUD operations, indexing, aggregation pipelines, replica sets, and backup/restore.

A comprehensive guide for optimizing SEO indexing and managing crawl budget specifically for Next.js applications. Covers fixing Google Search Console coverage errors, implementing proper canonical tags, auditing sitemaps, managing static rendering, and optimizing internal linking for maximum search visibility.

A remote MCP server designed for AI agents to dynamically discover, inspect, and verify external tools, APIs, and services. It allows agents to search a curated index of AI-ready websites, check for machine-readable endpoints (like OpenAPI or MCP), and confirm if an endpoint responds correctly to JSON-RPC, enabling robust, dynamic agent workflow building.

A comprehensive guide and methodology for identifying, measuring, and fixing performance bottlenecks across the entire stack. This skill covers optimizing database queries (e.g., N+1 problems, missing indexes), improving API efficiency (caching, parallel processing), and enhancing frontend performance (memoization, code splitting, image optimization). It emphasizes the critical 'Measure First' principle to ensure all optimizations are data-driven and effective.

Design efficient PostgreSQL schemas using best practices for data types, indexing, and constraints. Covers normalization, partitioning, and performance optimization for scalable database systems.