agentkits-marketing

AgentKits Marketing is an enterprise-grade automation toolkit designed for SaaS founders, marketers, and growth teams using Claude Code, Cursor, GitHub Copilot, and compatible AI assistants. The package includes 18 specialized marketing agents, 93 slash commands, and 28 skills organized around core marketing functions: campaign planning and execution, content creation and copywriting, SEO optimization and programmatic SEO, conversion rate optimization (CRO), email sequences and automation, lead qualification and scoring, sales enablement, and performance analytics. It provides production-ready workflows for the complete marketing lifecycle—from lead generation and attraction through conversion optimization to customer retention and upsell strategies. Teams can install the full suite or individual components (agents, skills, or commands only) via Claude Code's plugin marketplace or npx across multiple platforms. The toolkit serves as both an operational system for AI agents to execute marketing tasks and a comprehensive reference library of marketing frameworks, best practices, and templates.

[{"step":"Connect AgentKits Marketing to your preferred AI agent platform (e.g., Cursor, Claude Code, or GitHub Copilot).","action":"Install the AgentKits Marketing extension or API key in your tool. For Cursor, go to Extensions > Marketplace > Search 'AgentKits Marketing' and install. For Claude Code, use the command `pip install agentkits-marketing`.","tip":"Ensure your API keys for LinkedIn Ads, Meta Ads, or Google Ads are configured in AgentKits Marketing for seamless campaign generation."},{"step":"Define your campaign goals and inputs.","action":"Fill in the [PLATFORM], [TASK], [PRODUCT], [AUDIENCE], and [BUDGET] placeholders in the prompt template. For example, 'Use AgentKits Marketing with GitHub Copilot to analyze the performance of our Q2 email campaign for [PRODUCT]. Identify the top 3 underperforming segments and suggest subject line improvements.'","tip":"Be specific with your audience demographics (e.g., 'women aged 30-45 interested in sustainable fashion') to get tailored recommendations."},{"step":"Generate and review the campaign or analysis.","action":"Run the prompt in your AI agent tool. Review the output for accuracy, relevance, and alignment with your goals. For campaigns, check if the ad copy, visuals, and targeting match your brand voice.","tip":"Use the 'Performance Metrics' section in the output to validate the AI’s suggestions against your historical data or benchmarks."},{"step":"Implement and optimize.","action":"Deploy the campaign or apply the analysis to your workflow. For campaigns, upload the generated assets to your ad platform. For analyses, integrate the recommendations into your marketing strategy.","tip":"Set up automated alerts in AgentKits Marketing to monitor performance in real-time and adjust campaigns as needed."},{"step":"Iterate and scale.","action":"Use the insights from the first iteration to refine future campaigns. For example, if a specific ad creative outperforms others, double down on that approach in the next cycle.","tip":"Leverage AgentKits Marketing’s 'A/B Testing' feature to systematically test variations and scale what works."}]