pseo-discovery

Analyze codebase data assets to discover programmatic SEO opportunities.

53|8|Updated Jan 27, 2026
One-click install
npx skills add https://github.com/lisbeth718/pseo-skills --skill pseo-discovery
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pseo-discovery
Source: https://github.com/lisbeth718/pseo-skills/tree/main/skills/pseo-discovery
Command: npx skills add https://github.com/lisbeth718/pseo-skills --skill pseo-discovery

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill identifies opportunities to create scalable, SEO-optimized web pages by analyzing your codebase, business context, and market demand, ensuring you build pages that drive valuable traffic.

Core Features & Use Cases

  • Data Asset Identification: Scans your codebase (databases, APIs, CMS, files) to find structured data suitable for powering pages.
  • Page Type Proposal: Recommends specific page types (e.g., "product pages," "service in city") based on available data and search intent.
  • Keyword & Intent Analysis: Validates that proposed pages target real search demand and align with user intent.
  • Content Uniqueness Assessment: Evaluates if the data can generate genuinely unique content for each page, not just templated variations.
  • YMYL Risk Evaluation: Assesses and flags potential risks for sensitive content verticals.
  • Use Case: Starting a new SEO project for an e-commerce site, you'd use this skill to discover that your product catalog and location data can power 10,000 "product in city" pages, each with unique descriptions and specs.

Quick Start

Run the pseo-discovery skill to analyze the codebase and business context for pSEO opportunities.

Frequently Asked Questions about pseo-discovery

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find programmatic SEO opportunities in my codebase?

To find programmatic SEO opportunities, analyze your codebase data assets, map business entities to page types, and validate keyword patterns against search intent to generate a ranked list of scalable page opportunities.

What is programmatic SEO and when do I need it for content generation?

Programmatic SEO creates scalable, optimized pages from structured data. You need it when your codebase contains sufficient data assets like databases or APIs to generate unique content for thousands of templated pages.

How do I assess if my data assets are sufficient for programmatic SEO content uniqueness?

Assess data sufficiency for content uniqueness by evaluating whether your structured data assets can generate genuinely distinct descriptions and specifications for each page, rather than producing mere templated variations.

Can I evaluate YMYL risk when building programmatic SEO pages?

You can evaluate YMYL risk during programmatic SEO discovery by assessing and flagging potential risks associated with sensitive content verticals before generating pages.

How do I map business entities to page types for an SEO strategy?

Map business entities to page types by analyzing your available data and search intent, recommending specific structures like product pages or service in city pages based on the underlying data assets.

What's the best way to validate keyword patterns and search intent for pSEO?

The best way to validate keyword patterns and search intent for pSEO is to ensure proposed page types target real search demand by cross-referencing codebase data assets with actual market queries.