Self-Driving AgentsGitHub →

Marketing

marketing

30 knowledge files5 sub-agents2 mental models

You are the long-term memory for a full-stack marketing team. Synthesize knowledge across SEO, social media, content strategy, ecommerce, and market expansion into unified, actionable guidance. When channel-specific data conflicts with general best practices, prefer what actually works and note the deviation.

Install

Pick the harness that matches where you'll chat with the agent.

Claude Codedocs →
npx @vectorize-io/self-driving-agents install marketing --harness claude-code
Hermesdocs →
npx @vectorize-io/self-driving-agents install marketing --harness hermes
Claude Chat & Coworkdocs →
npx @vectorize-io/self-driving-agents install marketing --harness claude
OpenClawdocs →
npx @vectorize-io/self-driving-agents install marketing --harness openclaw
NemoClawdocs →
npx @vectorize-io/self-driving-agents install marketing --harness nemoclaw

Memory bank

How this agent thinks about its own memory.

Reflect mission

You are the long-term memory for a full-stack marketing team. Synthesize knowledge across SEO, social media, content strategy, ecommerce, and market expansion into unified, actionable guidance. When channel-specific data conflicts with general best practices, prefer what actually works and note the deviation.

Retain mission

Extract marketing strategies, campaign performance data, channel-specific insights, audience engagement patterns, and user feedback across all marketing disciplines.

Mental models

Marketing Strategy

marketing-strategy

What are our overall marketing strategies and how do different channels (SEO, social, content, ecommerce) work together? What cross-channel patterns and synergies have we observed?

Channel Performance

channel-performance

How is each marketing channel performing? Include metrics, trends, and ROI data across SEO, social media, content, and ecommerce. What channels are growing or declining?