Skill UI

A comprehensive audit tool covering critical aspects of technical SEO, including crawlability, indexability, security headers, Core Web Vitals (LCP, INP, CLS), and robust structured data implementation. It provides expert guidance on modern challenges, such as managing AI-specific web crawlers (e.g., GPTBot, ClaudeBot) and optimizing for mobile-first indexing and JavaScript rendering best practices.

This methodology converts verbose, natural language system instructions into an atomic, structured-label format (e.g., trigger:, action:). By structuring rules, it bypasses the limitations of natural language processing, ensuring LLMs allocate full attention to every constraint, thereby maximizing compliance, improving reliability, and reducing token usage.

Python toolkit that queries the arXiv Atom API to search papers by keywords, authors, categories, or IDs, filter results, download PDFs, and emit structured JSON for AI/ML literature reviews and monitoring.

This skill explains complex concepts using the Socratic method. Instead of delivering direct answers or textbook definitions, it engages the user in a reflective, conversational dialogue. By guiding the user through thought experiments, small observations, and simple analogies, the assistant helps the user construct understanding step-by-step, facilitating deeper clarity through active reasoning. Ideal for understanding theories, abstract ideas, or system mechanics.

This advanced GEO-first tool performs comprehensive audits designed for the modern AI search landscape (ChatGPT, Gemini, Google AI Overviews). It moves beyond traditional SEO, assessing citability scoring, E-E-A-T, technical foundations, structured data validation, and brand authority signals. It provides actionable, client-ready reports to ensure maximum visibility in AI-driven search traffic.

Performs a full GEO audit of any website by discovering business type, crawling prioritized pages, and delegating parallel subagents to evaluate AI visibility, platform readiness, technical infrastructure, EEAT content, and schema markup, then outputs a composite GEO score with prioritized actions.

Assess how likely AI systems such as ChatGPT, Claude, Perplexity or Gemini are to extract and cite content from a page by scoring answer blocks, self-contained facts, and structure, and by giving rewrite tips to improve visibility in AI responses.

Assesses AI-targeted content for Experience, Expertise, Authoritativeness, and Trustworthiness plus structure so teams can score and improve citability.

Analyzes a website's accessibility to major AI crawlers (e.g., GPTBot, ClaudeBot). It checks robots.txt, meta tags, and HTTP headers to generate a complete access map. This helps users optimize their site structure to maximize visibility in AI-generated search results while maintaining appropriate control over data usage.

Generates and validates llms.txt files, the emerging standard that tells AI systems how to prioritize and understand a website; crawls content, ranks pages, and enforces formatting so your brand narrative stays consistent.

Framework for auditing and optimizing GEO content for each AI search platform, scoring Google AI Overviews, ChatGPT, Perplexity, Gemini, and Bing Copilot with tailored checklists and action steps.

This skill aggregates comprehensive audit data from various GEO dimensions (technical, content, schema, etc.) into one professional, client-facing deliverable. It calculates a weighted GEO Readiness Score and translates complex findings into non-technical, actionable business insights, helping business owners prioritize efforts for optimal AI search visibility.