Vetra is an AI marketing automation platform that streamlines campaign management for marketing teams. It connects to existing marketing tools and workflows, enabling automated content creation, audience segmentation, and performance tracking. Built with Next.js 15, Tailwind CSS, and Framer Motion, it offers a modern, interactive user interface.
git clone https://github.com/Shreyas-29/vetra.gitvetra is a modern AI marketing automation platform designed to streamline the process of creating engaging landing pages. Built with Next.js 15, Tailwind CSS, and Framer Motion, this Claude Code skill allows users to leverage advanced web technologies to deliver high-performance marketing solutions. By automating the creation of visually appealing and responsive landing pages, vetra helps marketers save time and focus on strategic initiatives rather than getting bogged down in technical details. The key benefits of using vetra include its ability to significantly reduce the time required to implement marketing campaigns. With an estimated implementation time of just 30 minutes, users can quickly set up and deploy landing pages that are not only aesthetically pleasing but also optimized for performance. This skill is particularly valuable for product managers and marketing teams looking to enhance their workflow automation capabilities, allowing them to launch campaigns faster and more efficiently. vetra is ideal for marketing professionals, product managers, and AI practitioners who are looking to integrate AI-driven solutions into their workflows. By utilizing this skill, teams can create tailored landing pages that resonate with their target audience, thereby improving conversion rates. Practical use cases include launching promotional campaigns, collecting leads, or showcasing new products, all of which can be executed with minimal technical overhead. With an intermediate level of complexity, vetra is accessible to those with a basic understanding of web development. The skill does not require extensive programming knowledge, making it suitable for a wide range of users. As businesses continue to adopt AI-first workflows, integrating vetra into marketing strategies can provide a competitive edge, ensuring that teams remain agile and responsive to market demands.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/Shreyas-29/vetraCopy 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.
Create a marketing campaign for [COMPANY], a [INDUSTRY] company, using the Vetra AI marketing automation platform. The campaign should target [TARGET_AUDIENCE] and focus on [CAMPAIGN_GOAL]. Include a multi-channel strategy with email, social media, and paid ads. Provide a detailed plan with timelines, key messaging, and performance metrics.
# Marketing Campaign Plan for GreenTech Solutions ## Campaign Overview - **Company**: GreenTech Solutions - **Industry**: Renewable Energy - **Target Audience**: B2B decision-makers in the renewable energy sector - **Campaign Goal**: Increase lead generation by 30% in Q3 - **Channels**: Email, LinkedIn, Google Ads ## Timeline - **Week 1-2**: Research and planning - **Week 3-4**: Content creation and asset development - **Week 5-8**: Campaign execution - **Week 9-10**: Performance analysis and optimization ## Key Messaging - **Primary Message**: 'Empowering the future with sustainable energy solutions' - **Secondary Message**: 'Innovative technologies for a greener tomorrow' ## Performance Metrics - **Email Open Rate**: 25% - **Click-Through Rate (CTR)**: 5% - **Lead Conversion Rate**: 10% - **Cost Per Lead (CPL)**: $50 ## Budget Allocation - **Email Marketing**: $2,000 - **LinkedIn Ads**: $3,000 - **Google Ads**: $5,000 ## Expected Outcomes - **Total Leads Generated**: 1,000 - **Marketing Qualified Leads (MQLs)**: 500 - **Sales Qualified Leads (SQLs)**: 200 - **Revenue Impact**: $200,000