AgentKits Marketing automates marketing tasks for AI assistants. It connects to Claude Code, Cursor, GitHub Copilot, and other AI agents. Teams use it to streamline campaigns, analyze performance, and optimize workflows.
git clone https://github.com/agentkits/agentkits-marketing.gitAgentKits Marketing automates marketing tasks for AI assistants. It connects to Claude Code, Cursor, GitHub Copilot, and other AI agents. Teams use it to streamline campaigns, analyze performance, and optimize workflows.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/agentkits/agentkits-marketingCopy 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 30-day marketing campaign for [COMPANY] in the [INDUSTRY] sector. Use [DATA] to identify key customer segments and tailor messaging. Automate the campaign setup across email, social media, and ads. Provide a performance tracking dashboard and optimization recommendations.
# 30-Day Marketing Campaign for GreenTech Solutions ## Campaign Overview - **Objective**: Increase lead generation by 25% in the renewable energy sector. - **Target Audience**: B2B decision-makers in solar and wind energy companies. - **Channels**: Email, LinkedIn, Google Ads. ## Campaign Breakdown ### Week 1-2: Awareness - **Email**: Send educational content on renewable energy trends. - **LinkedIn**: Publish thought leadership articles. - **Google Ads**: Run targeted ads highlighting industry reports. ### Week 3-4: Engagement - **Email**: Share case studies and success stories. - **LinkedIn**: Host a live Q&A session with industry experts. - **Google Ads**: Retarget website visitors with personalized offers. ## Performance Tracking - **Metrics**: Click-through rates, conversion rates, engagement rates. - **Dashboard**: Real-time tracking of campaign performance. ## Optimization Recommendations - **A/B Testing**: Test different subject lines and ad creatives. - **Segmentation**: Refine audience segments based on engagement data.
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