Skill UI

This skill generates multiple optimized variants for title tags, meta descriptions, and social media sharing tags (OG/Twitter). It provides three distinct styles (Benefit Lead, Question Hook, Social Proof) for each type, allowing users to A/B test copy to maximize click-through rate (CTR). Ideal for refining landing pages, blog posts, or any content requiring robust search engine optimization (SEO) and social media presence.

Audits crawlability, metadata, structured data, Core Web Vitals, and content signals while planning keyword mapping, internal linking, and sitemap fixes so teams can steadily boost organic visibility.

Provides a comprehensive audit of content quality, focusing on E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) signals, readability, and structural integrity. Use this tool when reviewing content for SEO optimization, assessing academic citation readiness, or ensuring adherence to modern search engine and AI best practices.

Perform a comprehensive, deep-dive audit on a single URL, covering all critical aspects of Search Engine Optimization. Analysis includes on-page elements (title, headings, meta tags), content quality (readability, E-E-A-T), technical structure (schema, canonical, OG tags), image optimization, and core web vitals potential issues. Ideal for SEO audits and content quality checks.

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.

Analyze Google SERPs to detect page-type mismatches, infer user stories from intent signals, and score pages from multiple persona perspectives. Useful for diagnosing why well-optimized pages still fail to rank and for planning SXO-focused content improvements.

This skill acts as a central orchestrator for comprehensive SEO optimization across various digital platforms (GitHub, LinkedIn, CV, X/Twitter). Use it when your request is broad, ambiguous, spans multiple surfaces, or requires developing an overall digital presence strategy. It intelligently routes tasks to the correct module while managing context and ensuring a coherent cross-platform workflow.

A comprehensive guide providing advanced strategies and tactics for Search Engine Optimization (SEO). Use this skill for conducting deep SEO audits, detailed keyword research based on search intent, optimizing on-page elements (titles, meta descriptions), implementing technical SEO fixes (Core Web Vitals, crawlability), and building robust link acquisition strategies to achieve sustainable organic traffic and visibility.

A specialized skill for optimizing content to be cited as authoritative sources by major AI language models (ChatGPT, Perplexity, Claude, Gemini). Unlike traditional SEO, AEO focuses on E-E-A-T signals, factual density, and structured data to ensure LLM integration. Features include content auditing, E-E-A-T scoring, structural rewriting, and citation tracking.

This guide details advanced strategies for publishing technical content across major developer platforms like Dev.to and Hashnode. It covers cross-posting best practices, canonical URL management for optimal SEO, and platform-specific optimization (e.g., tagging, content performance) to maximize reach and build authority.

Use this skill to define and set up self-running, recurring marketing workflows (loops). Instead of one-off tasks, these loops operate on defined cadences (weekly, daily, on-trigger), acting as always-on systems for continuous monitoring and optimization. It orchestrates multiple marketing skills—like SEO scanning, ad fatigue checks, and churn detection—to maintain marketing momentum and efficiency.

A technical specialization focused on Generative Engine Optimization (GEO). This skill ensures that specific web pages are structured, documented, and optimized for modern AI answer engines (Google AI Overviews, ChatGPT, Bing Copilot). It focuses on technical elements like structured data (JSON-LD), semantic HTML, and robust metadata to maximize discoverability, trustworthiness, and quotability for AI consumption, rather than traditional SEO ranking.