programmatic-seo-specialist

Create programmatic SEO templates and page generation plans for scalable comparison pages.

12|2|Updated Jan 27, 2026
One-click install
npx skills add https://github.com/jikig-ai/soleur --skill programmatic-seo-specialist
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: programmatic-seo-specialist
Source: https://github.com/jikig-ai/soleur/tree/main/.openhands/skills/programmatic-seo-specialist
Command: npx skills add https://github.com/jikig-ai/soleur --skill programmatic-seo-specialist

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Creates repeatable, template-driven SEO page sets that avoid thin content and indexing failures by combining template design, data schemas, unique per-page value, and internal linking requirements.

Core Features & Use Cases

  • Template Design: Specify dynamic and static sections for comparison, alternatives, integration, location, and use-case pages, including required word counts and evidence-based comparison matrices.
  • Data Schema & Inventory: Define structured data tables and page inventories to drive automated page generation at scale.
  • Quality Guardrails: Provide canonicalization, pagination, internal linking maps, monitoring thresholds for "Crawled - currently not indexed", and rules to ensure at least two internal links plus product/pricing links.
  • Audit & Validation: Validate presence of template, data source, and unique value-add per page before generation and flag pages lacking verifiable comparison data.

Quick Start

Generate a template specification, data schema table, and page inventory for a 100-page "Competitor X alternatives" set ensuring each page has a unique value-add and at least two internal links.

Frequently Asked Questions about programmatic-seo-specialist

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

FAQPage Schema
How do I build programmatic SEO pages without creating thin content?

Programmatic SEO pages require template-driven designs with dynamic and static sections, structured data schemas, and verifiable comparison data to ensure unique per-page value and avoid thin content penalties. The approach combines template specifications with quality guardrails before automated page generation.

What is the best way to structure data for automated page generation at scale?

Automated page generation relies on structured data schema tables and page inventories that map dynamic variables to template sections. Defining these structured data tables ensures each generated page receives unique values for comparison matrices, location details, or integration directories.

How do I prevent index bloat when generating large-scale directory or comparison pages?

Preventing index bloat requires canonicalization rules, pagination configurations, and monitoring thresholds for 'Crawled - currently not indexed' status. The system flags pages lacking verifiable comparison data before generation and validates internal linking maps to ensure quality control.

Does programmatic SEO work for location and use-case page templates?

Programmatic SEO templates work for location pages, use-case pages, competitor comparisons, alternatives, and integration directories. The template design specifies required word counts and evidence-based comparison matrices tailored to each large-scale page set type.

How do I set up internal linking maps for scalable SEO page sets?

Internal linking maps require rules ensuring at least two internal links plus product or pricing links per generated page. The template specification defines these linking structures alongside canonicalization rules to maintain site architecture integrity across large-scale page sets.

Why do my programmatically generated pages stay in 'Crawled - currently not indexed' status?

'Crawled - currently not indexed' status often indicates pages lack unique value-add or sufficient internal linking. The validation process audits pages for verifiable comparison data, template presence, and data source validity before generation, establishing monitoring thresholds to catch indexing failures.