marketing▌

Guides content marketing strategy across channels: content types, formats, distribution, and repurposing. 62% of successful B2B have a documented strategy; content repurposing addresses the top challenge—consistently developing new content. Use this skill when planning content across blog, email, social, video, and pages.

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Transform one idea into platform-native content across X, LinkedIn, TikTok, YouTube, and newsletters without cross-posting. \n \n Adapts source assets (articles, videos, demos, docs) into distinct platform variants with native hooks, pacing, and CTAs \n Covers five platforms with specific guidance: X (fast opens, one idea per post), LinkedIn (strong first lines, explicit lessons), short video (attention-grabbing first 3 seconds), YouTube (early results, visual refresh every 20-30 seconds), and n

Structured content modeling guidance for schema design, reusability, and multi-channel delivery. \n \n Covers core principles: treating content as data rather than pages, maintaining single sources of truth, designing for future channels, and optimizing for editor workflows \n Includes decision frameworks for references versus embedded objects, separation of concerns, and content reuse patterns \n Provides taxonomy and classification guidance for flat, hierarchical, and faceted approaches \n App

Cache expensive file processing results using SHA-256 content hashes instead of file paths. \n \n Content-hash keys survive file moves and auto-invalidate when content changes, eliminating path-based cache brittleness \n Store cache entries as individual {hash}.json files for O(1) lookup without requiring a separate index \n Implement caching as a service layer wrapper around pure processing functions, keeping extraction logic separate from cache concerns \n Handle cache corruption gracefully by

Comprehensive SEO and AEO optimization guidance covering metadata, structured data, EEAT, and AI-readiness. \n \n Covers both traditional search engine optimization (SEO) and AI answer engine optimization (AEO) across Google, ChatGPT, Perplexity, and similar platforms \n Includes technical SEO essentials: metadata, Open Graph tags, sitemaps, robots.txt, hreflang, and international SEO configuration \n Provides JSON-LD structured data patterns for Article, FAQ, Breadcrumb, and Product schemas \n

Diagnose and reverse traffic loss on existing pages using decay triage framework. \n \n Composite decay scoring across five weighted signals (traffic decline, position drops, CTR decline, content freshness, competitive displacement) prioritizes which pages need action most urgently \n Decision tree guides whether to refresh, consolidate, redirect, or retire each decaying page based on topic relevance, intent shifts, and content staleness \n Refresh playbooks tailored to content type (blog posts,

Duplicate a Google Sheets template tab for a new month of tracking. \n \n Automates the three-step workflow: retrieve spreadsheet metadata, copy a template sheet, and rename the new tab with a month identifier \n Requires the gws-sheets skill and uses Google Sheets API commands for sheet operations \n Ideal for recurring monthly tracking workflows where a consistent template structure needs to be replicated with minimal manual effort \n

Establish foundational product positioning and audience context that other marketing skills reference. \n \n Captures product overview, target audience, personas, problems, competitive landscape, differentiation, objections, and brand voice in a single .agents/product-marketing-context.md document \n Offers two setup paths: auto-draft from your codebase (README, landing pages, marketing copy) for faster iteration, or conversational walkthrough for custom input \n Emphasizes capturing verbatim cu

Build SEO-optimized pages at scale using templates, data, and proven playbook patterns. \n \n Covers 12 distinct playbooks including templates, comparisons, locations, integrations, directories, and glossaries—each suited to different data types and business models \n Emphasizes proprietary or product-derived data as the strongest defensibility; includes hierarchy of data sources and guidance on avoiding thin content penalties \n Provides implementation framework covering keyword pattern researc