programmatic-seo-pro_skill

This skill helps you architect scalable programmatic SEO workflows with dynamic metadata, JSON-LD, and ISR for thousands of pages.
  • Python

7

GitHub Stars

1

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill yuniorglez/gemini-elite-core --skill programmatic-seo-pro

  • SKILL.md5.3 KB

Overview

This skill is a Senior Programmatic SEO Architect & Data Engineer profile built for 2026. It codifies patterns for large-scale page generation with Next.js 16, dynamic metadata orchestration, and database-to-page automation to scale long-tail content while preserving E-E-A-T and SGE readiness. The skill focuses on practical protocols, caching strategies, and structured data requirements for high-performing programmatic sites.

How this skill works

The skill inspects source datasets (CSV, SQL, headless CMS) to assess structure and semantic richness, then produces clustered long-tail segments and templates. It generates per-route dynamic metadata using Next.js 16 generateMetadata, injects JSON-LD schemas automatically, and wires incremental/edge caching for real-time updates. Verification workflows run small-batch audits to check uniqueness, metadata accuracy, and Core Web Vitals before full-scale rollout.

When to use it

  • Building thousands of localized or category pages from a database or CSV.
  • Migrating static programmatic templates to Next.js 16 with dynamic metadata.
  • Preparing site content for AI-driven Search Generative Experiences (SGE).
  • Implementing incremental/edge caching and real-time revalidation for content updates.
  • Automating structured data (FAQ, Product, LocalBusiness) across programmatic pages.

Best practices

  • Use generateMetadata for every dynamic route and inject key data points (price, count, location) into titles/descriptions.
  • Augment templates with proprietary data, expert commentary, and localized context to avoid thin pages.
  • Always emit JSON-LD schema appropriate to the page type to qualify for SGE summaries.
  • Use revalidate intervals and revalidateTag for granular ISR—never rebuild the whole site for data changes.
  • Run small-batch (10–50) audits to detect duplicate content and validate Core Web Vitals before scaling.

Example use cases

  • Auto-generate city or neighborhood guides from a location database with unique titles, descriptions, and FAQ schema.
  • Scale thousands of product or service pages with dynamic pricing and live availability using ISR and edge caching.
  • Create topical clusters where programmatic pages are linked into a logical hierarchy to preserve crawl budget and internal authority.
  • Produce SGE-ready summaries by combining structured data, expert snippets, and localized statistics per page.

FAQ

Augment each programmatic template with proprietary data, expert quotes, local signals, and unique FAQs. Use NLP similarity audits to detect and fix high-overlap pages before publishing.

When should I use revalidateTag vs a global revalidate?

Use revalidateTag for targeted, real-time updates tied to specific records (CMS content, single product). Reserve global revalidate for broad schema or layout changes that affect many pages.

Built by
VeilStrat
AI signals for GTM teams
© 2026 VeilStrat. All rights reserved.All systems operational
programmatic-seo-pro skill by yuniorglez/gemini-elite-core | VeilStrat