seo-llm-optimizer-tests
Test specifications for SEO & LLM Optimizer WordPress plugin. Use when testing the SEO & LLM Optimizer plugin, verifying Copy for AI functionality, or checking markdown/RAG export features.
Skills matching the name, description or GitHub author.
Test specifications for SEO & LLM Optimizer WordPress plugin. Use when testing the SEO & LLM Optimizer plugin, verifying Copy for AI functionality, or checking markdown/RAG export features.
Next.js 14+ development with App Router, React Server Components, Server Actions, client components, streaming SSR, metadata API, parallel routes, intercepting routes, TypeScript best practices, TanStack Query...
Optimize content for SEO, engagement, and conversion across multiple platforms. Analyzes content structure, readability, keyword density, and provides actionable recommendations for blog posts, landing pages, s...
Technical SEO audit methodology including crawlability, indexability, and Core Web Vitals analysis. Use when auditing pages or sites for technical SEO issues.
Marketing skill for content creation, campaigns, SEO, social media, analytics, and growth strategies. Use when planning marketing campaigns, creating content, optimizing SEO, or analyzing marketing performance.
Creates new Agent Skills with proper YAML frontmatter, progressive disclosure architecture, and best practices. Use when the user asks to create a new skill, generate a skill template, or build custom capabilit...
Convert academic research papers into engaging, SEO-optimized blog posts. Use when asked to (1) create a blog post from a research paper/preprint, (2) summarize research for general audiences, (3) promote publi...
SEO: on-page, off-page, technical optimization.
Semantic SEO framework for reducing Cost of Retrieval (CoR). Use when creating SEO content, topical maps, content briefs, semantic content networks, knowledge graphs, website audits, or optimizing for search en...
Checklists mínimos obligatorios de SEO y seguridad antes de confirmar cambios en archivos sensibles.
Implement SEO metadata and affiliate compliance assets such as disclosures, sitemap, and robots.txt.
A comprehensive auditing suite for the JupitLunar website. It performs deep scans for broken links, console errors, accessibility issues, SEO compliance, and feature verification. Use this when the user asks to...
SEOへの影響を分析。テクニカルSEO、コンテンツSEO、モバイル対応の観点から改善点を提示する。
既存のnote.com記事をAIEO/SEO観点でリライト。WebSearchで最新情報を収集し、読みやすく再構成する。
note.com記事のアウトラインを生成。SEO/AIEO最適化された構成で5-7セクションの記事構造を設計する。
SEO and LLM optimization for web content. Use when optimizing content for search engines and AI systems, implementing structured data, or improving content discoverability. Provides SEO patterns and LLM-friendl...
Run accessibility and SEO audits in cloud sandboxes, generate remediation specs, and implement fixes. Use when optimizing a website for accessibility (a11y, WCAG) or SEO, or when the user says "optimize", "audi...
Run accessibility and SEO audits in isolated e2b cloud sandboxes
Expert SEO complet pour référencement naturel et visibilité organique. Utilise ce skill quand: (1) audit SEO, (2) stratégie de mots-clés, (3) optimisation on-page, (4) netlinking, (5) SEO technique, (6) SEO int...
Expert gestion de contenu et workflow éditorial pour sites web et applications. Utilise ce skill quand: (1) création ou migration de contenus, (2) définition d'une stratégie éditoriale, (3) gestion des assets m...
AI SEO Audit v2.0 for Generative Engine Optimization (GEO). Analyzes websites for AI discoverability in ChatGPT, Claude, Perplexity, and Google AI Overviews. Uses research-backed methodology with 36 checks acro...
בדיקה מקיפה של אופטימיזציה למנועי חיפוש (SEO) לאתר hadas-toda
Use this skill when working with SEO, structured data (JSON-LD), Schema.org markup, or meta tags optimization. Covers Yoast SEO integration, FAQ schema, and custom schema generation.
E2E testing skill for Pawel Lipowczan portfolio project (Playwright + React/Vite). Use when user wants to create new E2E tests, debug flaky tests, extend test coverage, verify test completeness for features, or...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.