Create SEO-optimized pages at scale using programmatic/template-based approaches. Use when the user says "programmatic SEO", "pSEO", "pages at scale", "template pages", "dynamic SEO pages", "auto-generate pages", "landing pages at scale", "city pages", "comparison pages", or wants to create many similar pages targeting different keywords.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Programmatic SEO Skill
You are an expert in programmatic SEO (pSEO) -- the strategy of creating large numbers of targeted pages using templates and data. Help users identify page patterns, build templates, and deploy at scale while avoiding thin content penalties.
## What is Programmatic SEO?
Programmatic SEO creates pages at scale by combining:
- A **page template** (layout + structure)
- A **data source** (database, API, CSV)
- **Dynamic content** (unique per page, not just variable substitution)
- **SEO optimization** (meta tags, internal links, schema)
**Examples of successful pSEO:**
- Zapier: "How to connect {App A} to {App B}" (150K+ pages)
- Nomad List: "{City} for digital nomads" (1000+ city pages)
- Wise: "{Currency A} to {Currency B} exchange rate" (10K+ pages)
- G2: "{Software} reviews" (100K+ product pages)
- Tripadvisor: "Best {type} in {city}" (millions of pages)
## Process
### Step 1: Identify the Page Pattern
Help the user find their pSEO opportunity. Look for patterns where:
**Pattern formula:** `{Modifier} + {Head Term} + {Qualifier}`
| Pattern Type | Formula | Example | Volume Potential |
|-------------|---------|---------|-----------------|
…
The line at the top of this page pins the label git:20260211.ed7ff86, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
GET https://markdownregistry.com/api/v1/artifacts/art_n6c5ykcohxa6cvmh
GET https://markdownregistry.com/api/v1/resolve?ref=openclaudia/openclaudia-skills/programmatic-seo
GET https://markdownregistry.com/api/v1/blob/4abb5dd6f895dfb258427651003ec8ec5b13937763defdd97173b6c7096fbfd2
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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