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Found 35 Skills
AI-powered search engine with real-time answers.
Audit, plan, and implement SEO improvements across technical SEO, on-page optimization, structured data, Core Web Vitals, and content strategy. Use when the user wants better search visibility, SEO remediation, schema markup, sitemap/robots work, or keyword mapping.
Core principles of SEO including E-E-A-T, Core Web Vitals, technical foundations, content quality, and how modern search engines evaluate pages. This skill explains *why* SEO works, not how to execute specific optimizations.
Writes SEO- and GEO-aware blog posts for any website from a topic, keyword, brief, or existing outline. Use when the user asks to write a blog post, article, thought-leadership piece, pillar page, listicle, product-led post, comparison post, or educational content intended to rank in search and be cited by AI search engines. Also use for content calendars, outlines, title options, and blog refreshes.
Perplexity AI search and research. Use for AI search.
When the user wants to run an SEO audit, technical SEO audit, or site health check. Also use when the user mentions "SEO audit," "technical audit," "site audit," "crawl audit," "indexing audit," "SEO health," or "fix SEO issues."
Typesense integration. Manage data, records, and automate workflows. Use when the user wants to interact with Typesense data.
Technical SEO expert specializing in website performance optimization, structured data, mobile optimization, and technical issue diagnosis. Applicable for scenarios such as website technical implementation, performance tuning, and search engine crawling optimization.
Enhanced web and package repository search using local SearXNG instance
When the user wants to create, audit, or optimize sitemap.xml. Also use when the user mentions "sitemap," "sitemap.xml," "sitemap index," "lastmod," "changefreq," "priority," "URL discovery," "URL discovery for search engines," "single source of truth," "URL config," "unify sitemap IndexNow," or "reduce duplicate maintenance."
Use this skill whenever planning, designing, reviewing, or improving search and recommendation systems for a two-sided trust marketplace built on OpenSearch — covers user-intent framing, product-surface architecture, index design, query understanding, retrieval strategy, ranking, search-plus-recs blending, measurement, and a dashboard-and-alerting layer for ongoing decision making. Triggers on tasks involving marketplace search, homefeeds, ranking, relevance tuning, OpenSearch query DSL, analyzers, synonyms, golden sets, NDCG, A/B testing, or diagnosing an existing retrieval system. Use this skill BEFORE marketplace-personalisation when planning new work; hand off when the diagnosed bottleneck is personalisation-specific.