Run Marketing & SEO Campaigns With AI

What problem does this solve?

Gives AI agents domain-specific marketing and SEO knowledge so they generate production-ready output tailored to your product instead of generic suggestions. Without curated skills, AI teams spend hours hunting frameworks and best practices across tabs.

How does it work?

1. Copy project-context.md to your agent workspace and fill in your product details, audience, and brand voice. 2. Install skills: use the CLI for selective skills or copy the full directory for templates. 3. Ask your agent for SEO, content, pages, or paid ads work; it picks the right skill and applies it to your project. 4. Review and publish. Output: production-ready content, pages, campaigns, and SEO audits that align with your brand.

Included Skill Groups

What's the biggest win?

Every piece of marketing output stays consistent and grounded in best practices, because the agent has access to curated domain knowledge instead of guessing.

What should I know technically?

Works with any AI agent that reads markdown files (Cursor, Claude Code, OpenClaw, Lovable, v0, Bolt). CLI installation uses npx and requires Node.js. Git submodule option for teams. Agent must support markdown reading and multifile context to use all skills effectively. All skills are pure markdown with examples and frameworks; no executable code.

What should I watch out for?

Pure markdown skills work best with agents that read markdown natively (Cursor, Claude Code, OpenClaw, Lovable, v0). ChatGPT/Claude Web require manual copy-paste. Some skills assume basic HTML/JSON knowledge (schema markup, tracking code). Context file (project-context.md) is optional but strongly recommended for tailored outputs; outputs stay generic without it.

Key Features