Programmatic Seo

This is the skill you want when you're spinning up hundreds of SEO landing pages from structured data without making them feel like obvious mail merge. It walks you through the classic programmatic SEO stack (templates, data, automation) but adds a modern twist: using AI to generate per-URL differentiated copy while keeping facts grounded in your data layer. The playbook matrix maps search intent patterns to specific page types (alternatives, integrations, glossary, comparisons) and points you to the right generator skill for each. Honest take: it's opinionated about data tiers and evidence blocks, which means more upfront thinking but fewer thin pages that tank in rankings six months later.

skills.sh installs: 2.2K
GitHub stars: 1.1K
last updated: Aug 21, 2026

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Install

$ npx -y skills add kostja94/marketing-skills --skill programmatic-seo --agent claude-code

Installs into .claude/skills of the current project.

Files

SEO: Programmatic SEO

Guides programmatic SEO—creating large numbers of SEO-optimized pages automatically using templates and structured data, rather than writing each page manually. Classic “mail merge” pSEO (one rigid template + swapped variables) often produced low differentiation and thin-feeling URLs. With AI used responsibly on top of the same data spine, you can scale per-URL customization—intent-aligned copy, section depth, FAQs, tone, localization—while still following evidence blocks, data tiers, and QA (see Data strength hierarchy and AI-assisted generation below).

When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.

Project context: Read root {project}.md when present and load only the modules relevant to this task. Without Contextus, use available project material or user-provided facts and ask for missing information; do not create a parallel context system.