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 2 029 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 247 copies of these same skills sitting in other people's repositories — counted once here, not 247 times.
3 187 unique 354 authors 1 619 updated this month 129 from vendors
Query and analyze a Dynatrace tenant's ACTUAL billing and usage data with DQL against dt.system.events — DPS consumption breakdown, cost-normalized spend ranking, included volume deduction, chargeback/showback, cost drivers, spending trends, cost investigation, metrics ingest optimization, query cost attribution, workflow total cost, and entity-level cost drill-down (RUM, hosts, synthetic, K8s). Also directs licensing/entitlement questions to the right resource (not available via DQL). USE ONLY to query/analyze the tenant's actual consumption. Do NOT use for conceptual 'explain' questions about how DPS billing/pricing works or what units/weights/the rate card mean — those belong to Dynatrace documentation. Also do NOT use for making a DQL query itself faster or cheaper to run (query optimization, reducing scanned data/consumption per run, filter-early best practices) — that belongs to dt-dql-essentials. This skill only MEASURES recorded consumption; it does not tune queries.
Convert Kanchi-style dividend investing into a repeatable US-stock operating procedure. Use when users ask for かんち式配当投資, dividend screening, dividend growth quality checks, PERxPBR adaptation for US sectors, pullback limit-order planning, or one-page stock memo creation. Covers screening, deep dive, entry planning, and post-purchase monitoring cadence.
Complete reference for DTG Base module utilities and helpers. DTGBase is an abstract model providing common utility methods for date/time handling, barcode generation, timezone conversion, file operations, and more.
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Research and write professional newsletters.
Design and polish website conversion flows. Use for CTAs, lead forms, booking forms, newsletter signup, checkout, pricing, contact pages, service inquiries, ecommerce purchase paths, error states, validation, trust signals, and conversion sections that must feel complete and credible.
Write CTA language systems for websites and apps. Use for primary buttons, secondary links, hero CTAs, pricing CTAs, booking CTAs, forms, checkout actions, navigation links, waitlists, demo requests, product tours, and conversion copy that must be clear, honest, and specific.
Audit frontend websites and apps before launch. Use for production-readiness reviews, visual polish checks, responsive QA, accessibility risks, performance and SEO basics, interaction states, forms, media, copy clarity, trust signals, and ship/no-ship recommendations for React, Next.js, static sites, dashboards, landing pages, portfolios, and product UI.
Write and revise website copy so it feels specific, credible, and non-generic. Use for headlines, subheads, CTAs, navigation, product copy, service copy, luxury/editorial language, testimonials, empty states, forms, pricing, and any website where placeholder marketing or AI-sounding copy would weaken the design.
Structure modern Next.js websites and landing pages. Use for App Router projects, TypeScript, metadata, fonts, images, static pages, route groups, sections, component organization, performance, SEO basics, and production-ready architecture for premium websites.
Run technical SEO QA for websites. Use for metadata, titles, descriptions, canonical URLs, robots, sitemap, Open Graph, structured data, heading structure, internal links, image alt, crawlability, noindex mistakes, redirects, JavaScript-rendered content, and launch readiness.
Use for premium frontend, website, app UI, landing page, dashboard, redesign, image-to-code, or visual-polish work that needs clearer design intent, adjustable visual direction, motion discipline, less generic output, and a final preflight check before handoff.
Apply strict website-building operating rules for any frontend, website, landing page, portfolio, product site, luxury site, Squarespace-like site, modern SaaS/devtool site, or UI build. Use when Codex must inspect first, avoid generic design, explain planned files, run local verification, perform a second visual polish pass, and report tests honestly.
Agent-callable Google Ads tools — search campaigns, ad groups, and ads via GAQL, build performance reports, manage campaign status and budgets, and set up conversion tracking. Use when the user mentions Google Ads or wants to read or manage advertising campaigns, budgets, or reporting — even if they don't name Google Ads explicitly.
Agent-callable DataForSEO tools — Google SERP results, keyword and domain analytics, backlinks, Google Maps business data, on-page audits, and AI-search visibility (LLM answers + brand mentions). Use when the user wants SEO or AI-search data, even if they don't name DataForSEO.
Use when the user wants to set up automated daily promotion / marketing for their Claude Code skills — researching how top skills are promoted on marketplaces (ClawHub / openclaw / SkillsMP / agentskills.io), generating a per-skill marketing plan, auto-posting to X (Twitter) via xurl, and drafting community discussion posts (Reddit / HN / Discord). Triggers — "推广 skills", "营销 skills", "自动发推广", "每天自动推广", "skill marketing", "promote my skills", "/wjs-promoting-skills".
Use when 王建硕 wants to systematically grow his X (Twitter) followers by running numbered, A/B-testable growth experiments and tracking which ones actually work. Every action gets a number, a hypothesis, a target metric, a before-state (for rollback), and a verdict. The North-Star metric is the new-follower ÷ profile-visit ratio (conversion) — every profile change is judged against it. Daily it ingests the X Analytics CSV export, scores each running experiment, and recommends keep / rollback. Triggers — "涨粉", "增加 X 粉丝", "X 涨粉实验", "follower growth", "A/B test my profile", "今天的涨粉检查", "/wjs-x-increasing-follower".
| Trigger this skill when the user works on China ICP filing & internet content compliance — the full regulatory life-cycle for any website / app / mini-program / IT service that publishes content or runs commercial services targeting mainland-China users; covers (a) 主体备案 + 网站备案 (non-commercial ICP record on beian.miit.gov.cn 经接入商 提交), (b) 域名实名认证 (CNNIC 一级域名 / 注册商核验), (c) 公安备案 (网安部门 30 日内补办), (d) ICP经营许可证 (有偿经营 / 增值电信业务 — 申请门槛极高), (e) APP 备案 (2024-03 工信部令), (f) 等级保护测评 (公安部 GB/T 22239), (g) 算法推荐 / 深度合成 / 生成式 AI 备案 (网信办专项), (h) 数据出境 + 个保法 + 数安法 合规联动, (i) 变更 / 注销 / 转移 / 跨省迁移 工作流; NOT 通用法律咨询, NOT 海外域名注册技术, NOT 网络营销 SEO, NOT 翻墙 / VPN 相关. problems and wants industry-grade thinking, tool selection, or workflow guidance. 触发词：「ICP备案」「icp备案」「icp filing」「icp license」「中国备案」
| Trigger this skill when the user works on iOS App Store launch — submission, review, ASO, compliance, post-launch monetization problems and wants industry-grade thinking, tool selection, or workflow guidance. 触发词：「iOS 上架」「App Store 上架」「App 审核」「App Review」「TestFlight」
| Bret Taylor 视角. Sierra 联合创始人 / CEO, OpenAI 董事会主席 (2024-), ex-Salesforce co-CEO, Google Maps 联合创造者. B2B SaaS enterprise 派代表 / outcome-based pricing 第一手提倡者 / brand-as-moat 在 agent 时代重新阐述者. 把 monetize-agents 语境从 "卖软件 access" 换成 "卖 outcome — 客户问题解决一次收一次费", 把 product 设计从 "feature breadth" 换成 "vertical depth + measurable outcome + procurement-grade trust". enterprise 0 到 1 / vertical 还是 horizontal / design partner 怎么搭 / 一开始要不要融大钱" 类问题时, 用 Bret Taylor 视角先把 "outcome 可不可测量 + vertical 是哪个 + 第一批 design partner 是谁" 盘清楚, 再给定价 / GTM / 融资判断. 当用户提到 "Bret Taylor" "Sierra" "outcome-based pricing" "deflection" "vertical agent" "design partner" "enterprise agent" "B2B agent GTM" "agent 定价" "agent procurement" 时使用. 即使用户只是说 "用 Sierra 思路看一下" 也应触发.
| Trigger this skill when the user works on Newsletter + creator economy — 独立写作者 / 内容创作者通过 newsletter / 公众号 / 订阅制 / 课程 直接变现的实战 problems and wants industry-grade thinking, tool selection, or workflow guidance. 触发词：「newsletter」「Substack」「Beehiiv」「Ghost newsletter」「ConvertKit」
| 触发词：「product marketing」「product marketer」「PMM」「产品营销」「产品市场」
| Trigger this skill when the user works on SEO (search engine optimization) problems and wants industry-grade thinking, tool selection, or workflow guidance. 触发词：「SEO」「搜索引擎优化」「排名」「外链」「页面优化」
Brian Dean (Backlinko 创始人) 视角. Content-driven SEO 派代表. Skyscraper Technique + Pillar Cluster + 长内容 + 链接建设. 调用此 skill 时, 用 Brian Dean 框架做 SEO 决策.
Aleyda Solis (Orainti 创始人 + SEOFOMO + LearningSEO.io) 视角. Technical + 国际化 SEO 派代表. 调用此 skill 时, 用 Aleyda 框架做技术 + 跨语言 SEO 决策.
Rand Fishkin (Moz 创始人 + SparkToro) 视角. SEO 长期主义 + 跨平台视野 + 受众洞察派. 调用此 skill 时, 用 Rand 框架做战略级 SEO 决策.
| Devin Akin 视角 — CWNP 联合创始人 / CWNE 流派奠基 / Wi-Fi Vitae 播客主持 / Divergent Dynamics 创办人. 加载后让 AI 用「RF 物理是地基, vendor 是装修」/「教育是 bottleneck 不是技术」/「AIOps 多数是营销层叠加」三大镜片审视企业 Wi-Fi 决策, 特别是 vendor 选型 / 培训路径 / 厂商话术辨别 / AIOps 评估场景. 反 marketing 倾向 + 25 年 instructor 视角 + vendor-neutral 立场.
> Build a data-backed client onboarding proposal for an agency starting a new engagement, combining an SE Ranking SEO + AI-search audit with a Planable analysis of the client's current social performance. Use this skill whenever an agency wants to show a new (or about-to-sign) client where they stand and what the plan is, or says things like "build an onboarding proposal for [client]", "we're starting with [client], put together the SEO + social analysis", "create a client proposal with audit and social baseline", "scope a SEO + AI + social engagement", or "show the client their opportunities and our plan". Assumes the client's social accounts are already connected in Planable. Always activate for new-engagement proposals that pair SE Ranking analysis with Planable social data.
> Generate one unified performance report that brings together SEO rankings, AI-search visibility (SE Ranking) and social engagement (Planable) — delivered as a short text summary in chat plus a self-contained interactive HTML report. Use this skill whenever the user wants a combined cross-channel report, or says things like "give me a full report across SEO and social", "how did we do this month across search and social", "combined SEO + AI + social report for [client]", "build a cross-channel dashboard", or "one report that covers rankings, AI visibility and social". Always activate when the request spans both search (SE Ranking) and social (Planable) in a single report.
Generate a demand-gen landing page for an SEO agency, complete with pain-point hook, proof, a free-audit lead magnet flow, and CTAs tuned for cold traffic. Pulls real competitive and AI-search data for the agency's target niche to make the copy specific and credible. Use when the user asks for an SEO agency landing page, lead-gen page for an SEO agency, demand-gen page, free-audit landing page, or wants to convert cold traffic into discovery calls.
> Build and track local search visibility with SE Ranking city-level rank tracking and turn it into local social content in Planable, including Google Business Profile posts. Use this skill whenever the user wants to grow a business's presence in a specific city or cities and pair it with local social, or says things like "track our rankings in [city]", "set up local rank tracking", "we want to show up in local search", "create Google Business Profile posts", "local SEO plus social for our locations", or "how are we ranking city by city and what should we post locally". Always activate for local/multi-location visibility work that combines SE Ranking rankings with Planable local/GMB content.
Paid-search competitive landscape for a domain or keyword. Pulls SE Ranking's PPC data — domain ad keyword footprint, ad copy patterns, who else bids on the same keywords, SERP shopping/ad-pack visibility — and produces a competitive ads brief plus a recommended bid-keyword shortlist. Use when the user asks "paid search analysis", "competitor ads", "PPC competitive", "ad copy intelligence", "shopping pack", "who bids on this keyword", or "paid keyword footprint".
Measure AI Search share of voice for a target domain versus competitors across ChatGPT, Perplexity, Gemini, Google AI Overview, and AI Mode. Pulls the AIO leaderboard, then samples prompts where each domain appears as a source or brand mention, and analyses topic clusters each brand owns. Use when the user asks for AI Search share of voice, LLM visibility tracking, AEO/GEO analysis, AI Overview competitive analysis, or wants to know which brands LLMs cite in their category.
SE Ranking API integration architect. Covers the whole SE Ranking surface — the Data API (keyword research, backlinks, domain & competitor analysis, SERP, website audit, AI Search) and the Project API (rank tracking, project/keyword/backlink management, marketing plan, sub-accounts, AIRT prompts). Answers any "how do I…" question about endpoints, parameters, JSON schemas, credit cost, rate limits, or auth, and produces ready-to-paste cURL / Python / TypeScript / MCP-tool-call recipes. With explicit confirmation it also wires up Project API state — creating projects, adding keywords, configuring audits, setting up AIRT prompt groups. Pulls live tool schemas from the connected MCP. Unlike the analysis skills (briefs, audits, reports), seo-api produces integration recipes and wired-up state. Use when the user asks how to use the SE Ranking API, which endpoint returns a metric, how to build a rank tracker, for Postman / cURL / Python recipes, or how to integrate with Looker / n8n / Make.
> Find the AI-search prompts and topics where a brand is invisible (or losing to competitors) in SE Ranking, then turn those gaps into a social campaign in Planable and set up before/after tracking. Use this skill whenever the user wants to improve how their brand shows up in AI answers (ChatGPT, Perplexity, Gemini, Google AI Overview, AI Mode) through content, or says things like "what should we post to get cited by AI", "where are competitors winning in AI answers and we're not", "create content for the prompts we're missing", "improve our AI visibility with social", "AEO/GEO content plan", or "turn our AI search gaps into posts". Always activate when AI-search visibility is the goal and Planable is where the content will be made.
Generate a writer-ready SEO content brief from a target domain and topic. Pulls domain overview, competitors, keyword gaps, SERP analysis, related and question keywords, AI Search citations, and existing internal-link sources, then synthesises a complete editorial brief a freelance writer can start from immediately. Use when the user asks for a content brief, blog brief, article outline, editor brief, or wants to capture organic traffic their competitors have.
Full backlink profile for a domain — referring domains, anchor text distribution, authority distribution, IP and subnet diversity, growth/decay trend, toxic-candidate flagging. Distinct from `seo-backlink-gap` (which is gap-vs-competitor only). Produces a profile health score and reviewable disavow candidate list (never auto-disavow). Use when the user asks "backlink profile", "link profile audit", "anchor distribution", "toxic links", "disavow candidates", or "backlink health".
Find referring domains that link to multiple competitors but not to your site, then enrich with authority, anchor samples, and outreach angle per row. Produces a prospect list an outreach team can start emailing tomorrow. Use when the user asks for backlink gap analysis, link building opportunities, competitor backlink intersection, link prospecting, or wants referring domains they are missing.
Capture an SEO baseline snapshot for a domain or URL, then on later runs compare the current state and surface regressions. Tracks authority, traffic, keywords, backlinks, and on-page content. Three subcommands — `baseline`, `compare`, `history`. Use when the user asks for "SEO drift", "baseline this site", "did anything break", "SEO regression check", "compare before and after", "deployment check", or "monthly SEO snapshot".
E-E-A-T + CITE quality audit for an EXISTING piece of content. Scores Experience, Expertise, Authoritativeness, Trustworthiness, and citation-readiness for AI search; surfaces veto items that block publication; produces a publish / publish-with-fixes / no-publish verdict. Distinct from `seo-content-brief` (produces a NEW article from a topic) and from `seo-page` (URL-level keyword/traffic intelligence). Use when the user asks "content quality audit", "E-E-A-T check", "is this content good", "review this article", "content audit", "citation readiness", or "AI search readiness".
Compare a target domain to its top organic competitors and surface keywords the competitors rank for that the target does not, filtered by intent, volume, and difficulty. Use when the user asks for a competitor gap analysis, keyword gap, organic content gap, missing keyword opportunities, or wants to see what their competitors are ranking for that they are not.
Generate SEO-optimized "X vs Y" comparison and "alternatives to X" landing pages targeting comparative-intent keywords. Pulls competitor data, comparative-intent SERPs, and existing comparison pages to produce a balanced, structured page draft with feature matrix, schema, and conversion blocks. Distinct from `seo-agency-landing-page` (top-of-funnel demand-gen). Use when the user asks for "comparison page", "vs page", "alternatives page", "X vs Y", "alternative to X", or "competitor comparison page".
Build a content cluster plan from seed keywords — intent-grouped clusters, pillar+spokes architecture with H1/H2 suggestions per spoke, prioritised build order, and an internal-linking map. Plans a content tier across many articles (vs `seo-content-brief` which produces a single article from a topic; vs `seo-page` which audits one existing URL). Use when the user asks for keyword clustering, topical map, pillar content strategy, content cluster plan, or content calendar from a keyword list.
Hreflang and international SEO audit for multi-language and multi-region sites. Validates language-region codes, return tags, x-default, canonical alignment, and conflict detection across the per-URL HTML, the SE Ranking audit, and the XML sitemap. Use when the user asks "hreflang", "international SEO", "i18n", "language targeting", "x-default", "regional sites", or "multi-language SEO".
> Turn SE Ranking search-opportunity insights into a ready-to-publish social campaign in Planable. Use this skill whenever the user wants to convert SEO research into social content — keyword gaps, competitor wins, ranking losses, question keywords, or new topic opportunities — and have the posts drafted and scheduled in Planable. Trigger on things like "what should we post based on our SEO data", "turn these keyword gaps into posts", "our competitor is ranking for X, make social content about it", "repurpose our ranking opportunities into a campaign", "build a social campaign from search demand", or "fill the calendar based on what people are searching". Always activate when SE Ranking research is the starting point and Planable is the destination.
URL-level Generative Engine Optimization (GEO) analysis. For a specific URL, pulls AI Overview citation data scoped to the URL's primary keywords, identifies which AIO queries cite the URL vs which don't but should, and recommends page-level changes that improve LLM citability. Distinct from `seo-ai-search-share-of-voice` (domain-level, brand vs brand) — this is one URL, deeper. Use when the user asks "GEO for this page", "AIO citation analysis", "AI search readiness for URL", "why isn't this page cited", or "improve LLM citations".
Image SEO audit for a URL or domain. Pulls raw image inventory via Firecrawl, then audits alt-text quality, modern-format coverage (WebP / AVIF), responsive sizing (`srcset` / `sizes`), lazy-loading and LCP signals (`loading`, `fetchpriority`, `decoding`), CLS-safe dimensions, descriptive file names, and `ImageObject` JSON-LD. Optional PageSpeed Insights cross-reference for real byte-saving estimates. Produces a prioritised remediation list plus paste-ready picture-element markup and `ImageObject` schema. Distinct from `seo-technical-audit` (which surfaces audit-flagged image issues at the site level) and from `seo-schema` (which generates page-level JSON-LD but not image-specific markup). Use when the user asks for "image SEO", "image audit", "alt-text audit", "WebP coverage", "AVIF", "responsive images", "lazy loading", "CLS images", "image schema", "ImageObject", "image rich results", "licensable images", or "optimise images".
Local SEO audit for brick-and-mortar, service-area, and multi-location businesses. Covers Google Business Profile signals on the website, NAP consistency across page and schema, local-pack rank tracking, citation samples on Tier-1 directories, and reviews on Google / Yelp / Trustpilot. Distinct from `seo-page` (URL-level keywords, no local layer) and from `seo-schema` (which generates LocalBusiness markup — this skill defers to it). Use when the user asks "local SEO", "GBP", "Google Business Profile", "NAP", "local pack", "citations", "near me", "service area", or "multi-location SEO".