This skill should be used when the user asks to "find content gaps", "what am I missing", "topics to cover", "content opportunities", "what do competitors write about that I do not", "what topics am I missing", "topics my competitors cover that I lack", or "where are my content blind spots". Identifies content opportunities by finding topics and keywords your competitors cover that you do not. Reveals untapped content potential and strategic gaps in your content strategy. For broader competitive intelligence, see competitor-analysis. For general keyword discovery, see keyword-research.

This skill should be used when the user asks to "optimize entity presence", "build knowledge graph", "improve knowledge panel", "entity audit", "establish brand entity", "Google does not know my brand", "no knowledge panel", or "establish my brand as an entity". Works standalone with public search and AI query testing; supercharged when you connect ~~knowledge graph + ~~SEO tool + ~~AI monitor for automated entity analysis. For structured data implementation, see schema-markup-generator. For content-level AI optimization, see geo-content-optimizer.

This skill should be used when the user asks to "update old content", "refresh content", "content is outdated", "improve declining rankings", "revive old blog posts", "this post is outdated", "traffic is declining on this page", or "rankings dropped for this article". Identifies and updates outdated content to restore and improve search rankings. Analyzes content freshness, adds new information, updates statistics, and optimizes for current SEO and GEO best practices. For writing new content from scratch, see seo-content-writer. For auditing without rewriting, see on-page-seo-auditor.

This skill should be used when the user asks to "analyze search results", "SERP analysis", "what ranks for", "SERP features", "why does this page rank", "what is on page one for this query", "who ranks for this keyword", or "what does Google show for". Analyzes search engine results pages (SERPs) to understand ranking factors, SERP features, user intent patterns, and AI overview triggers. Essential for understanding what it takes to rank. For tracking rankings over time, see rank-tracker. For keyword discovery, see keyword-research.

This skill should be used when the user asks to "write SEO content", "create a blog post", "write an article", "content writing for SEO", "draft optimized content", "write a how-to guide", "create a product description", "write a landing page", "SEO copywriting", "draft content targeting [keyword]", or "write 2000-word article about [topic]". Creates keyword-optimized content using a 12-step workflow: CORE-EEAT pre-write checklist, keyword integration, title optimization (5 formula options), meta description, H1/H2/H3 hierarchy, featured snippet targeting, internal/external linking, and readability enhancement. Produces full drafts with embedded SEO elements, title variants, meta description, FAQ section with schema, and a self-scored CORE-EEAT checklist. For AI-citation optimization, see geo-content-optimizer. For updating existing content, see content-refresher.

This skill should be used when the user asks to "generate SEO report", "performance report", "traffic report", "SEO dashboard", "report to stakeholders", "show me the numbers", "monthly SEO report", or "present SEO results to my boss". Generates comprehensive SEO and GEO performance reports combining rankings, traffic, backlinks, and AI visibility metrics. Creates executive summaries and detailed analyses for stakeholder reporting. For detailed rank tracking, see rank-tracker. For link-specific analysis, see backlink-analyzer.

This skill should be used when the user asks to "add schema markup", "generate structured data", "JSON-LD", "rich snippets", "FAQ schema", "HowTo schema", "Product schema", "Article schema", "LocalBusiness schema", "Organization schema", "BreadcrumbList", "I want star ratings in Google", "rich results", "voice search optimization", "event markup", or "structured data validation errors". Generates Schema.org JSON-LD for FAQPage, HowTo, Article/BlogPosting, Product, AggregateRating, LocalBusiness, Organization, BreadcrumbList, Event, and Recipe types. Produces validated markup targeting Google Rich Results, Bing structured data, and AI system understanding (FAQ schema improves AI citation chances). Validates against Google Rich Results Test requirements. For broader technical SEO, see technical-seo-checker. For meta tag optimization, see meta-tags-optimizer.

This skill should be used when the user asks to "optimize for AI", "get cited by ChatGPT", "appear in AI answers", "GEO optimization", "generative engine optimization", "Google AI Overview optimization", "get mentioned by Perplexity AI", "appear in Gemini answers", "AI does not mention my brand", "make content AI-quotable", or "increase AI citation frequency". Optimizes content to increase citation frequency across AI systems: ChatGPT (Browse), Claude, Perplexity AI, Google AI Overviews, and Google Gemini. Adds quotable statements, structured Q&A, precise statistics with sources, expert attribution, and FAQ schema. Uses CORE-EEAT GEO-First items (C02, C09, O03, R01–R05, E01) as optimization targets. Produces a GEO score, rewritten content sections, and a citation-optimization checklist. For SEO-focused writing, see seo-content-writer. For entity and brand AI presence, see entity-optimizer.

This skill should be used when the user asks to "find keywords", "keyword research", "what should I write about", "keyword difficulty score", "search volume data", "identify ranking opportunities", "topic ideas", "what are people searching for", "which keywords to target", "content ideas for [topic]", or "long-tail keyword suggestions". Discovers high-value keywords with search intent classification (informational/commercial/transactional/navigational), keyword difficulty (KD) scoring, monthly search volume (MSV), CPC estimates, and AI citation potential. Produces ranked keyword lists, topic clusters with pillar + cluster page assignments, and priority-scored content calendars. Works with Ahrefs, SEMrush, Google Keyword Planner, Google Search Console, or manual data input. For competitor keyword gaps, see competitor-analysis. For topic coverage gaps, see content-gap-analysis.

Deep security review patterns for authorization logic, data access boundaries, action isolation, rate limiting, and protecting sensitive operations

Prevent feature creep when building software, apps, and AI-powered products. Use this skill when planning features, reviewing scope, building MVPs, managing backlogs, or when a user says "just one more feature." Helps developers and AI agents stay focused, ship faster, and avoid bloated products.

Quick security audit checklist covering authentication, function exposure, argument validation, row-level access control, and environment variable handling

Patterns for building reactive apps including subscription management, optimistic updates, cache behavior, and paginated queries with cursor-based loading

Writing queries, mutations, actions, and HTTP actions with proper argument validation, error handling, internal functions, and runtime considerations

Complete file handling including upload flows, serving files via URL, storing generated files from actions, deletion, and accessing file metadata from system tables

Schema migration strategies for evolving applications including adding new fields, backfilling data, removing deprecated fields, index migrations, and zero-downtime migration patterns

Building AI agents with the Convex Agent component including thread management, tool integration, streaming responses, RAG patterns, and workflow orchestration

Defining and validating database schemas with proper typing, index configuration, optional fields, unions, and migration strategies for schema changes

Scheduled function patterns for background tasks including interval scheduling, cron expressions, job monitoring, retry strategies, and best practices for long-running tasks

Guidelines for building production-ready Convex apps covering function organization, query patterns, validation, TypeScript usage, error handling, and the Zen of Convex design philosophy