Marketing Claude Skills
3 187 marketing skills from 354 authors. They cover promotion, ads, search and everything aimed at an audience. Half of them fit into 2 033 tokens or less — that is what one costs your context window when the agent loads it. 597 ship runnable scripts rather than instructions alone. 35 of them cannot work without an MCP server, most often rube. We also found 265 copies of these same skills sitting in other people's repositories — counted once here, not 265 times.
3 187 unique 354 authors 74 updated this month 129 from vendors
Map the competitive narrative landscape. Use when: analyzing positioning territories, gaps, competitor claims, differentiation.
Track AI engine brand narratives. Use when: detecting narrative drift, misrepresentation, or competitor narrative gains over time.
Analyze SEO for a single page. Use when: auditing on-page signals, schema, content quality, E-E-A-T, or AI search readiness.
Plan paid advertising campaigns. Use when: managing Google Ads, Meta Ads, LinkedIn Ads, bid strategy, or budget optimization.
Pull live marketing metrics for a performance snapshot: KPIs vs targets, trend comparison, and cross-platform overview. Use when checking current marketing performance, monitoring KPI health, comparing to benchmarks, or getting a quick status update across analytics platforms.
Create media pitch packages. Use when: building pitch templates, media lists, outreach strategy, or journalist-request-platform responses (Qwoted, Featured, Source of Sources).
Test pricing strategies with synthetic data. Use when: simulating willingness to pay, price sensitivity, or optimal price points.
Plan programmatic SEO pages. Use when: building template engines, URL patterns, thin content safeguards, or quality gates.
Publish blog posts. Use when: deploying to WordPress or Webflow with SEO optimization, categories, and scheduling.
Monitor keyword rankings and SERP features. Use when: tracking keyword positions, detecting ranking drops, alerting on position changes, or tracking SERP-feature presence (AI Overviews, snippets, PAA, local pack).
Recall marketing learnings. Use when: querying what we know about a channel, audience, objective, or past campaign.
Calculate marketing ROI. Use when: measuring campaign ROAS, CAC, CPL, LTV, or multi-channel attribution returns.
Save brand knowledge to memory. Use when: persisting campaign learnings, guidelines, or competitive intel for retrieval.
Schedule social media posts. Use when: publishing to Twitter/X, Instagram, LinkedIn, TikTok, YouTube, or Pinterest.
Search stored brand knowledge. Use when: recalling past learnings, voice guidelines, or competitor insights via semantic search.
Create audience segments. Use when: building or updating CRM or email platform segments for campaign targeting.
Send email campaigns. Use when: deploying via SendGrid, Klaviyo, Customer.io, Brevo, or Mailchimp with A/B testing.
Send SMS or WhatsApp messages. Use when: deploying marketing messages via Twilio or Brevo with compliance checks.
Run comprehensive SEO audit. Use when: checking technical health, on-page, content quality, E-E-A-T, or link profile.
Compare two SEO snapshots (GSC, GSC AI Performance, rank tracker, AEO probe) and surface biggest movers per metric — impressions, clicks, position, AI citations. Use when: monthly performance reviews, post-Core-Update triage, AI Mode citation tracking, or before/after content-refresh evaluation.
Execute SEO changes. Use when: updating meta tags, schema markup, canonicals, redirects, or indexing via CMS MCP.
Build SEO strategy and roadmap. Use when: planning site architecture, content strategy, or phased implementation.
Deprecated — merged into rank-monitor. Use /digital-marketing-pro:rank-monitor --features for SERP-feature tracking (AI Overviews, snippets, PAA, local pack).
Measure share of voice. Use when: comparing keyword visibility, SERP presence, ad share, or AI citations vs competitors.
Build social media strategy. Use when: defining content pillars, posting cadence, engagement tactics, or growth plans.
Batch sync session learnings to memory. Use when: persisting campaign insights and performance history across sessions.
Run technical SEO audit. Use when: checking Core Web Vitals, crawlability, indexation, speed, or structured data.
Deep technical SEO analysis. Use when: optimizing crawlability, Core Web Vitals, rendering, redirects, or sitemaps.
Translate marketing content. Use when: localizing with brand voice preservation, quality scoring, or transcreation.
Verify marketing claims. Use when: cross-checking statistics, awards, certifications, or performance claims with sources.
Produce the 12-month operational Yearly Planner — the calendar companion to the Growth Plan in Part 8. Translates strategy into month-by-month execution.
> Build reusable conversion models — funnel/step conversion rates, drop-off, and time-to-convert — on either PostHog data-warehouse views (HogQL) or an external dbt project. Use when the user wants to model, define, or compute a conversion rate, funnel, step completion, drop-off, activation-funnel, signup-to-paid, or any "what % of users who did A went on to do B (within N days)" metric. Covers the funnel model (ordered steps, the conversion-window time-box, strict vs any-order), the person-vs-group aggregation unit, overall vs step-to-step conversion (two different numbers), breakdown attribution, and when a saved funnel insight beats a warehouse view. On PostHog, model funnels in HogQL with windowFunnel; in dbt, stage the event stream and compute an fct_conversion mart with tests. Read modeling-warehouse-foundations first for the view-vs-dbt mechanics; pairs with query-funnel for interactive analysis.
> Build reusable dimension / lookup tables for a star schema — country/region, timezone, currency, date, plan/product, and other descriptive attributes — on either PostHog data-warehouse views (HogQL) or an external dbt project. Use when the user wants to model dimension tables, lookup tables, a star schema, conformed dimensions, or wants to enrich events/revenue/usage with country, region, timezone, plan, or currency attributes without repeating JOINs. Covers sourcing the dimension data (upload, warehouse source, or derive from events), shaping it into an aliased one-row-per-entity view (optionally materialized on a slow schedule since dimensions change rarely), and attaching it to facts via a saved or person join so its hand-rolled rate table. Read modeling-warehouse-foundations first; dimensions here are reused by the revenue, conversion, activation, and product-usage modeling skills.
> data-warehouse views / materialized views (HogQL, via the view-* MCP tools), or an external dbt project (sources.yml + staging/marts + schema tests) run against your own or PostHog's managed warehouse. Read before authoring any specific business model — covers the PostHog-vs-dbt decision, the view-create → view-materialize → sync_frequency workflow and the HogQL column-aliasing rule, the dbt project skeleton and the honest "no native dbt integration" picture, warehouse joins and star-schema dimensions, currency conversion with convertCurrency(), and checking/registering models in the data catalog for reuse. Companion to the domain skills modeling-revenue-metrics, modeling-conversion-metrics, modeling-activation-metrics, modeling-product-usage-metrics, and modeling-dimension-tables. Use when the user asks how to build a view, materialized view, or dbt model in PostHog, or which of the two stacks to use.
> AI hotspot monitoring and trending topic discovery across multiple sources (Bing, Google, DuckDuckGo, HackerNews, monitoring keywords, tech/AI news discovery, generating hotspot reports, "最近有什么热点", "帮我关注XX动态", "查一下XX最新消息", "生成热点报告", "monitor XX", "what's trending in XX", or any request to search/track/discover current events and trending content across Chinese and international platforms.
AI咨询/销售的对话策略助手。当用户需要准备AI方案沟通、跟业务部门聊AI落地、写AI提案、应对客户异议、做AI培训破冰时使用。触发场景："怎么跟老板聊AI"、"客户说AI不靠谱"、"准备一个AI方案汇报"、"帮我想想怎么推AI"、"业务部门不配合"、"AI项目怎么卖"、"demo之后怎么跟进"。也适用于AI咨询师、技术合伙人、CTO做内部AI推广。
Use when creating or modifying dbt Semantic Layer components — semantic models, metrics, dimensions, entities, measures, or time spines. Covers MetricFlow configuration, metric types (simple, derived, cumulative, ratio, conversion), and validation for both latest and legacy YAML specs.
| 《图解 Skill —— AI 提效实战指南》专用配图技能。分析本书章节、附录或书稿内容，批量识别需要视觉辅助的位置，并行生成本书统一风格的插图提示词，批量出图，最后回写书稿。 当用户要求"为本书配图"、"给本书章节生成插图"、"补画书中插图"、"重画本书配图"、"生成章节信息图"时使用此技能。 不用于普通文章、营销图、社媒图或其他书籍的通用配图任务。
| Audit de conformité RGPD complet d'un site internet. Réalise une observation systématique du site selon une checklist de 10 sections (mentions légales, hébergeur, formulaires, newsletter, politique de confidentialité, cookies et bandeau, mots de passe, trackers et mesure d'audience, sous-traitants et transferts hors UE, accessibilité du recueil des droits) plus une annexe 22 items reproduisant les exigences des articles 13 et 14 RGPD. Produit un rapport structuré avec niveau de conformité global, points bloquants (risque 3), points de vigilance (risque 2), recommandations prioritaires et notes techniques. automatique (Claude in Chrome, Cowork ou équivalent) ou en mode dégradé copier-coller. "scanne ce site", "audit conformité site", "audite la conformité de [URL]", "audit cookies site", "audit politique de confidentialité site".
>- Adds SEO essentials to a Power Pages code site, including robots.txt, sitemap.xml, meta tags, Open Graph tags, and favicon configuration. Use when the user wants to improve search engine optimization or make their site more searchable.
App Store optimization and marketing skills for descriptions, screenshots, keywords, review responses, and comprehensive promotional strategy. Use when user needs help with App Store presence, ASO, marketing, or customer communication.
Privacy-preserving ad measurement with AdAttributionKit (SKAdNetwork's successor) — install and re-engagement attribution, conversion-value strategy under crowd anonymity, and end-to-end postback testing. Use when running paid acquisition beyond Apple Ads, measuring re-engagement campaigns, designing conversion values, or migrating from SKAdNetwork.
Apple Search Ads campaign strategy for indie developers — paid acquisition, keyword bidding, budget planning, and ROAS optimization. Use when user asks about running ads, paid user acquisition, or Apple Search Ads campaigns.
Optimize app title, subtitle, and keywords for maximum App Store discoverability. Use when launching a new app, improving search rankings, entering new markets/languages, or safely optimizing ASO for an app with existing traffic.
App Store marketing strategy advisor that analyzes your app and recommends the best promotional features. Orchestrates sub-skills for implementation. Use when planning app promotion, launch strategy, user acquisition, or re-engagement campaigns.
Plan compelling App Store screenshot sequences that showcase your app's value. Use when preparing App Store assets, improving screenshot conversion, or drafting screenshot captions for a launch or major update.
The discovery surfaces outside the App Store app — your apps.apple.com product page ranking on Google, an owned landing page with a Smart App Banner, and the deal-site ecosystem that auto-amplifies price drops. Use when building a landing page, improving Google visibility for an app, planning a price-drop promotion, or auditing off-store discovery.
Generates Custom Product Page metadata templates with screenshot strategies, keyword targeting, and audience-specific messaging for up to 35 page variants. Use when creating targeted App Store pages for different audiences, ad campaigns, or traffic sources.