待翻译:Top 5 Claude Skills for Marketing
AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:Claude can write an ad or email from a prompt. This is usually done manually. Useful, but hardly a coherent system. The work still needs research, positioning, channel planning, quality checks, and reporting. Claude’s marketing skills add to those missing processes. However, search results mix dedicated marketing repositories with huge general-purpose libraries. For a fair […] The post Top 5 Claude Skills for Marketing appeared first on Analytics Vidhya.
AI 服务暂时不可用,以下为来源正文,待恢复后补全翻译。
--> Top 5 Claude Marketing Skills on GitHub (Ranked by Stars) India's Most Futuristic AI Conference Is Back – Bigger, Sharper, Bolder d : h : m : s Career GenAI Prompt Engg ChatGPT LLM Langchain RAG AI Agents Machine Learning Deep Learning GenAI Tools LLMOps Python NLP SQL AIML Projects Reading list How to Become a Data Analyst in 2025: A Complete RoadMap A Comprehensive Learning Path to Tableau in 2025 A Comprehensive NLP Learning Path 2025 Learning Path to Become a Data Scientist in 2025 Step-by-Step Roadmap to Become a Data Engineer in 2025 A Comprehensive MLOps Learning Path: 2025 Edition Roadmap to Become an AI Engineer in 2025 A Comprehensive Learning Path to Master Computer Vision in 2025 Best Roadmap to Learn Generative AI in 2025 GenAI Roadmap for Enterprises Large Language Models Demystified: A Beginner’s Roadmap Learning Path to Become a Prompt Engineering Specialist Top 5 Claude Skills for Marketing Vasu Deo Sankrityayan Last Updated : 09 Aug, 2026 4 min read Claude can write an ad or email from a prompt. This is usually done manually. Useful, but hardly a coherent system. The work still needs research, positioning, channel planning, quality checks, and reporting. Claude’s marketing skills add to those missing processes. However, search results mix dedicated marketing repositories with huge general-purpose libraries. For a fair ranking, this list only includes repositories built mainly for marketing work. In this blog, we rank the five most-starred options on GitHub and explain where each earns its place in the agent skill marketing ecosystem. Table of contents Marketingskills | ★ 43,605 Aaron Marketing Skills | ★ 2,537 AI Marketing Suite | ★ 2,285 ASO Skills | ★ 1,727 Claude-blog | ★ 1,600 The Decision Frequently Asked Questions New to Agent skills? Start with a guide to Claude Skills in Claude Code. 1. Marketingskills | ★ 43,605 Repository: coreyhaines31/marketingskills · Forks: 6,857 marketingskills is the strongest all-round option here, covering CRO, copywriting, SEO, ads, analytics, retention, pricing, and RevOps. Its biggest advantage is shared context. A central product-marketing layer keeps different skills aligned on the same audience, positioning, and product story. Skills also connect naturally, so copy can feed CRO, SEO can lead into schema and AI visibility, and research can inform multiple workflows. It’s a one stop for marketing, but anyone looking for a tailored experience should consider the later skills. Best for: Founders, growth teams, and technical marketers who want one coherent toolkit. 2. Aaron Marketing Skills | ★ 2,537 Repository: aaron-he-zhu/aaron-marketing-skills · Forks: 345 Aaron Marketing Skills is built more like a marketing operating system than a prompt library. It includes 120 skills across SEO/GEO, social, email, paid media, influencer work, launches, and more. Its standout feature is /aaron-marketing:auto, which routes a plain-language goal to the right workflow. Shared contracts, review gates like CORE-EEAT and ROAS, plus HOT/WARM/COLD memory, keep work consistent across channels. The trade-off is structure: it can feel excessive for quick one-off tasks, but works well for multi-step campaigns and teams that need repeatable processes. Best for: Marketing teams that want repeatable campaign stages, handoffs, and quality gates. 3. AI Marketing Suite | ★ 2,285 Repository: zubair-trabzada/ai-marketing-claude · Forks: 665 AI Marketing Suite is built around finished deliverables, not isolated prompts. The suite handles email sequences, social calendars, ads, funnels, competitor reviews, launch plans, and proposals through one main orchestrator backed by 14 subskills. Its strength is packaging analysis into something usable, especially for agencies. The trade-off is that its scores are directional, not proof. Analytics, interviews, attribution, and experiments still need to validate the recommendations. Best for: Agencies, consultants, and freelancers producing audits, proposals, or campaign plans. 4. ASO Skills | ★ 1,727 Repository: Eronred/aso-skills · Forks: 110 ASO Skills is the most specialized option here, focused entirely on App Store Optimization and mobile growth. Its /aso-skill router connects to 30+ workflows covering keywords, metadata, creatives, localization, reviews, launches, Apple Search Ads, pricing, subscriptions, and retention. Its advantage is specificity. Audits use app-store criteria, metadata includes character counts, and keyword workflows weigh volume, difficulty, and relevance. It can also pull live App Store data through Appeeky. The trade-off is scope: it is not built for broad marketing, but for iOS and Android teams it goes much deeper than general-purpose toolkits. Best for: Mobile-app teams that need store research, listing optimization, and launch support. 5. Claude-blog | ★ 1,600 Repository: AgriciDaniel/claude-blog · Forks: 277 claude-blog appears in our top Claude writing skills for good reason. It also belongs here because it covers the marketing system around the article, not only the writing. Beyond drafting, it handles content strategy, briefs, topic clusters, SEO/GEO, schema, internal linking, multilingual publishing, refreshes, and audits. It can also learn a house style from existing posts. Its biggest strength is quality control. Articles pass through five delivery gates, with outputs ranging from Markdown and HTML to PDFs, hero images, screenshots, and review reports. Best for: Content teams building search-led publishing, topic clusters, and repeatable editorial QA. The Decision There’s no single marketing skill stack that wins every use case, though marketingskills is a one-size-fits-all solution to most marketing problems (rest of them are use-case specific). If you need stricter campaign structure, go with Aaron Marketing Skills. For agency audits and client-ready reports, pick AI Marketing Suite. App teams should skip straight to ASO Skills, while content-heavy teams will get more from claude-blog. Don’t install all five. Start with one broad system, then add a specialist only when a repeated workflow demands it. Past that, overlapping routers, context, and instructions start creating more noise than leverage. Frequently Asked Questions Q1. What are Claude marketing skills? A. They are reusable instruction packages that give Claude defined workflows, references, scripts, and quality checks for marketing tasks. Q2. Which Claude marketing skill is best for beginners? A. marketingskills is the easiest general starting point because it covers common channels and shares one product context across them. Q3. Can these skills use live marketing data? A. Yes, when the repository supports APIs, MCP connections, pasted exports, or first-party data. Access and setup vary by skill. Q4. Are these Claude marketing skills free? A. The repositories are open source. External APIs, model usage, data services, hosting, and optional integrations may still cost money. Q5. Should I install more than one marketing skill? A. Start with one. Add a specialist only when it covers a repeated need your primary system cannot handle well. Vasu Deo Sankrityayan Studying, evaluating, and explaining AI systems for over 6 years. “𝘖𝘯𝘤𝘦 𝘮𝘦𝘯 𝘵𝘶𝘳𝘯𝘦𝘥 𝘵𝘩𝘦𝘪𝘳 𝘵𝘩𝘪𝘯𝘬𝘪𝘯𝘨 𝘰𝘷𝘦𝘳 𝘵𝘰 𝘮𝘢𝘤𝘩𝘪𝘯𝘦𝘴 𝘪𝘯 𝘵𝘩𝘦 𝘩𝘰𝘱𝘦 𝘵𝘩𝘢𝘵 𝘵𝘩𝘪𝘴 𝘸𝘰𝘶𝘭𝘥 𝘴𝘦𝘵 𝘵𝘩𝘦𝘮 𝘧𝘳𝘦𝘦. 𝘉𝘶𝘵 𝘵𝘩𝘢𝘵 𝘰𝘯𝘭𝘺 𝘱𝘦𝘳𝘮𝘪𝘵𝘵𝘦𝘥 𝘰𝘵𝘩𝘦𝘳 𝘮𝘦𝘯 𝘸𝘪𝘵𝘩 𝘮𝘢𝘤𝘩𝘪𝘯𝘦𝘴 𝘵𝘰 𝘦𝘯𝘴𝘭𝘢𝘷𝘦 𝘵𝘩𝘦𝘮.” — 𝖥𝗋𝖺𝗇𝗄 𝖧𝖾𝗋𝖻𝖾𝗋𝗍, 𝖣𝗎𝗇𝖾 Artificial IntelligenceDigital Marketing Login to continue reading and enjoy expert-curated content. Free Courses 4.7 Generative AI - A Way of Life Explore Generative AI for beginners: create text and images, use top AI tools, learn practical skills, and ethics. 4.5 Getting Started with Large Language Models Master Large Language Models (LLMs) with this course, offering clear guidance in NLP and model training made simple. 4.6 Building LLM Applications using Prompt Engineering This free course guides you on building LLM apps, mastering prompt engineering, and developing chatbots with enterprise data. 4.6 Improving Real World RAG Systems: Key Challenges & Practical Solutions Explore practical solutions, advanced retrieval strategies, and agentic RAG systems to improve context, relevance, and accuracy in AI-driven applications. 4.7 Microsoft Excel: Formulas & Functions Master MS Excel for data analysis with key formulas, functions, and LookUp tools in this comprehensive course. Recommended Articles GPT-4 vs. Llama 3.1 – Which Model is Better? Llama-3.1-Storm-8B: The 8B LLM Powerhouse Surpa... A Comprehensive Guide to Building Agentic RAG S... Top 10 Machine Learning Algorithms in 2026 45 Questions to Test a Data Scientist on Basics... 90+ Python Interview Questions and Answers (202... 8 Easy Ways to Access ChatGPT for Free Prompt Engineering: Definition, Examples, Tips ... What is LangChain? What is Retrieval-Augmented Generation (RAG)? Become an Author Share insights, grow your voice, and inspire the data community. Reach a Global Audience Share Your Expertise with the World Build Your Brand & Audience Join a Thriving AI Community Level Up Your AI Game Expand Your Influence in Genrative AI Receive updates on WhatsApp Email address Wrong OTP. Enter the OTP Resend OTP Resend OTP in 45s