Skill UI

Run SEMrush SEO workflows directly in Claude Code to research keywords, audit backlinks, monitor organic rankings, and mine related terms for any regional database without leaving your terminal.

This skill generates comprehensive, high-quality, and SEO-optimized articles tailored for search engines and human readers. It ensures content incorporates best practices like E-E-A-T, natural keyword integration, clear structure (Intro, Body, Conclusion), and actionable takeaways. Use it when you need to create valuable, ranking-ready content based on specific keywords and topic briefs.

A specialized tool for comprehensive content optimization and SEO strategy. It analyzes existing content to calculate keyword density, identify primary and secondary targets, and generate relevant LSI (Latent Semantic Indexing) keywords and semantic variations. Use this skill proactively to improve topical authority and ensure natural, high-ranking content structure.

This specialized skill generates comprehensive, best-practice SEO metadata packages, including optimized titles, compelling descriptions, and structured URLs. It ensures strict compliance with character limits (e.g., 150-160 characters) while strategically integrating primary and secondary keywords, emotional triggers, and clear CTAs. Use this when launching new content or needing A/B test variations to maximize search visibility and click-through rates across platforms.

Plan and audit programmatic SEO pages generated from structured data. Covers data quality checks, template design, URL patterns, internal linking, and safeguards against thin content and index bloat.

This skill extracts up to 50 highly relevant, SEO-friendly keywords and tags from any given text. It is designed to identify core topics, domain terminology, and potential search phrases, formatting them into a strict, comma-separated list suitable for metadata generation, tagging, or search engine optimization (SEO). Use it whenever you need to optimize content for search engines.

A specialized skill for generating production-ready, SEO-optimized visual assets. It handles various use cases including OG social cards, blog hero images, product visuals, and infographics. The system ensures outputs adhere to best practices like specific aspect ratios, schema markup, and file naming conventions, making content publishable and discoverable by search engines.

This skill generates highly structured, long-form blog content (800-3000 words) optimized for both SEO ranking and AEO citation requirements. It automatically includes essential elements like a TL;DR summary block, defining sentences, comparison tables, and 5 distinct FAQs. This structure ensures the content is easily digestible, highly authoritative, and optimized for extraction by modern AI engines and search algorithms. Ideal for building topical authority and content clusters.

This skill generates a comprehensive keyword strategy by identifying high-value SEO and AEO question queries for any given topic. It structures keywords into three difficulty tiers (T1, T2, T3), performs cannibalization checks to prevent content overlap, and builds a complete content map, guiding users on content type and production order for maximum search engine visibility.

Generates high-converting, SEO-optimized content for competitor comparison and alternative pages. This tool creates structured content for 'X vs Y' layouts, 'Alternatives to X' roundups, and feature matrices, ensuring comprehensive coverage for competitive intent keywords. It includes advanced SEO elements like Schema Markup and strategic CTA placement to maximize conversion rates and search engine ranking.

A comprehensive guide to optimizing website content for modern AI search systems, including ChatGPT, Perplexity, and Google AI Overviews. It covers structural improvements, maximizing citability scores, incorporating multi-modal elements, building brand authority, and implementing technical standards like llms.txt and proper server-side rendering (SSR). Essential for maximizing organic reach in the LLM era.

SERP-overlap-based keyword clustering for SEO content architecture. Groups related keywords by real Google rankings, builds hub-and-spoke topic clusters, and generates internal linking plans and visual cluster maps.