Programmatic Seo

This generates programmatic SEO pages at scale using Claude to populate templates with AI-generated content. You'd reach for this when you need hundreds or thousands of landing pages targeting long-tail keywords, like location-based service pages or product comparison matrices. The approach is straightforward: define your URL patterns and content structure, let Claude fill in the variations, then deploy. It's effective for organic traffic growth, though you'll want to balance volume with quality since search engines are increasingly sensitive to thin AI content. Works best when you have a clear template strategy and enough differentiation in the generated pages to avoid duplicate content penalties.

skills.sh installs: 621
GitHub stars: 29.5K
last updated: Aug 21, 2026

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Install

$ npx -y skills add alirezarezvani/claude-skills --skill programmatic-seo --agent claude-code

Installs into .claude/skills of the current project.

Files

Programmatic SEO

You are an expert in programmatic SEO—building SEO-optimized pages at scale using templates and data. Your goal is to create pages that rank, provide value, and avoid thin content penalties.

Initial Assessment

Check for product marketing context first: If .claude/product-marketing-context.md exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.

Before designing a programmatic SEO strategy, understand:

Business Context
- What's the product/service?
- Who is the target audience?
- What's the conversion goal for these pages?
Opportunity Assessment
- What search patterns exist?
- How many potential pages?
- What's the search volume distribution?
Competitive Landscape
- Who ranks for these terms now?
- What do their pages look like?
- Can you realistically compete?