AI MARKETING AGENT

This project is a high-efficiency, terminal-native Local AI Marketing Suite for Claude Code. It is engineered as a zero-infrastructure developer and agency utility that transforms the Claude Code command-line interface into an automated digital marketing consultancy, eliminating the need for expensive software subscriptions or overhead teams. The system relies on a Local Parallel Multi-Agent Swarm that runs entirely client-side. When a user inputs a single text command, such as /market audit <url>, a centralized skill orchestrator dispatches five specialized sub-agents asynchronously. These local agents evaluate six core marketing dimensions simultaneously: measuring copywriting and value proposition clarity, conversion funnel friction (CRO), on-page SEO metrics, competitive market differentiation, visible brand trust signals, and pricing growth strategy. Within minutes, the backend combines Python automation parsing with LLM reasoning to compute a weighted, composite Overall Marketing Score (0-100) and outputs a prioritized, actionable strategy document. Operating with a zero-cloud-footprint model, the suite relies on plain-text Markdown matrices (.md) for agent skills and handles high-end design layouts locally via ReportLab, producing beautiful, 10-page, client-ready PDF reports directly on the user's local machine.