Modern AI marketing automation platform landing page built with Next.js 15, Tailwind CSS, and Framer Motion
git clone https://github.com/seniorcat22/AI_marketing_automation.gitThe AI_marketing_automation skill is a modern solution designed to streamline marketing processes through automation. Built using Next.js 15, Tailwind CSS, and Framer Motion, this skill enables users to create dynamic and responsive landing pages that enhance user engagement and conversion rates. By leveraging AI capabilities, it helps marketers automate repetitive tasks, allowing them to focus on strategic initiatives that drive growth. One of the key benefits of using AI_marketing_automation is the significant time savings it offers. While the exact time savings are currently unknown, the skill's ability to automate various marketing workflows—such as lead generation, email campaigns, and customer segmentation—can drastically reduce the time spent on manual tasks. This efficiency not only enhances productivity but also allows marketing teams to allocate resources more effectively, leading to improved campaign outcomes. This skill is particularly valuable for developers, product managers, and AI practitioners working in marketing departments. It is designed for those looking to integrate AI automation into their workflows to enhance operational efficiency. For example, a product manager could utilize this skill to quickly deploy a landing page for a new product launch, while a developer could implement it to automate A/B testing for marketing campaigns. With an intermediate implementation difficulty, the AI_marketing_automation skill can be set up in approximately 30 minutes, making it accessible for teams looking to adopt AI-first workflows. While it currently has 9 GitHub stars, indicating a growing interest, it is essential for users to have a foundational understanding of web development and marketing principles to maximize its potential. By incorporating this skill into existing marketing strategies, teams can leverage AI to achieve better results in less time.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/seniorcat22/AI_marketing_automationCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Check the GitHub repository or documentation for usage examples.
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