What is programmatic SEO?

Programmatic SEO (pSEO) is a technique for generating large numbers of search-engine-optimized pages using structured data and templates to target long-tail keyword patterns.

Can I use this for 'X vs Y' comparison pages?

Absolutely. Comparison pages are one of the 14 playbooks included in this skill, alongside integrations, calculators, and location-based patterns.

How many pages can this Claude Code skill handle?

The framework is designed for deployments ranging from 50 pages to over 100,000 pages, with strategies for managing data infrastructure at each scale.

Does this skill help prevent Google penalties?

Yes, it includes anti-pattern detection and quality gates to ensure every page meets uniqueness and data richness thresholds, avoiding common thin content penalties.

What kind of data sources are recommended for pSEO?

The skill prioritizes Tier S-C data, such as proprietary first-party data, product analytics, or licensed exclusive feeds, rather than easily replicable public data.

Programmatic SEO

Name: Programmatic SEO
Author: borghei

byborghei

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101

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营销自动化

Deploys production-grade SEO page sets at scale using data-driven pipelines and automated content templates.

This skill provides a comprehensive framework for building and managing large-scale programmatic SEO (pSEO) projects within Claude Code. It guides users through the entire lifecycle of page generation, from keyword pattern mining and data source evaluation to internal linking architecture and indexation strategies. By leveraging structured data and template-based generation, it enables the creation of 100 to 100,000+ high-quality pages while incorporating rigorous quality control gates to avoid common search engine penalties associated with thin or low-value automated content.

主要功能

01101 GitHub stars

02Template-based page generation with multi-source uniqueness requirements

03Pre-publication quality control framework and thin content detection

04Data pipeline architecture design for various data tiers (S-F)

05Internal linking strategies including breadcrumbs and contextual hubs

06Keyword pattern mining and search volume distribution analysis

使用场景

01Building automated comparison engines and integration directories

02Generating large-scale glossaries, calculators, and statistical reports

03Scaling location-based service pages for local search visibility

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add borghei/claude-skills programmatic-seo

For use in Claude.ai and ChatGPT

主要功能

01101 GitHub stars

02Template-based page generation with multi-source uniqueness requirements

03Pre-publication quality control framework and thin content detection

04Data pipeline architecture design for various data tiers (S-F)

05Internal linking strategies including breadcrumbs and contextual hubs

06Keyword pattern mining and search volume distribution analysis

使用场景

01Building automated comparison engines and integration directories

02Generating large-scale glossaries, calculators, and statistical reports

03Scaling location-based service pages for local search visibility

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add borghei/claude-skills programmatic-seo

For use in Claude.ai and ChatGPT