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SEO48k · #4137

seo-programmatic

Helps your agent plan and audit pages generated at scale. It focuses on optimization and problem prevention. Useful for websites with many similar content pieces.

What it does

This tool helps create and check website pages at scale, using data you already have. It ensures these pages are useful and won't be penalized by search engines.

When to use it

  • ✓When planning how to create many product or service pages.
  • ✓When organizing how pages link to each other.
  • ✓When wanting to avoid website penalties for low-quality content.

Example of what to ask your AI

“I want to create service pages for every city in Brazil. How can I organize the data and links so Google likes it?”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/seo-programmatic/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/seo-programmatic/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

The tool analyzes your data (like spreadsheets or databases) to ensure each generated page has unique and relevant content. It also suggests how to organize links between pages to improve user experience and SEO.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add sickn33/agentic-awesome-skills --skill seo-programmatic

Or download just the file:

curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/seo-programmatic/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

Programmatic SEO Analysis & Planning

Build and audit SEO pages generated at scale from structured data sources. Enforces quality gates to prevent thin content penalties and index bloat.

When to Use

  • Use when the user wants programmatic SEO planning or review.
  • Use when designing templates, data-driven pages, or scalable URL systems.
  • Use when preventing thin content and index bloat across large page sets.

Data Source Assessment

Evaluate the data powering programmatic pages:

  • CSV/JSON files: Row count, column uniqueness, missing values
  • API endpoints: Response structure, data freshness, rate limits
  • Database queries: Record count, field completeness, update frequency
  • Data quality checks:
    • Each record must have enough unique attributes to generate distinct content
    • Flag duplicate or near-duplicate records (>80% field overlap)
    • Verify data freshness; stale data produces stale pages

Template Engine Planning

Design templates that produce unique, valuable pages:

  • Variable injection points: Title, H1, body sections, meta description, schema
  • Content blocks: Static (shared across pages) vs dynamic (unique per page)
  • Conditional logic: Show/hide sections based on data availability
  • Supplementary content: Related items, contextual tips, user-generated content
  • Template review checklist:
    • Each page must read as a standalone, valuable resource
    • No "mad-libs" patterns (just swapping city/product names in identical text)
    • Dynamic sections must add genuine information, not just keyword variations

URL Pattern Strategy

Common Patterns

  • /tools/[tool-name]: Tool/product directory pages
  • /[city]/[service]: Location + service pages
  • /integrations/[platform]: Integration landing pages
  • /glossary/[term]: Definition/reference pages
  • /templates/[template-name]: Downloadable template pages

URL Rules

  • Lowercase, hyphenated slugs derived from data
  • Logical hierarchy reflecting site architecture
  • No duplicate slugs; enforce uniqueness at generation time
  • Keep URLs under 100 characters
  • No query parameters for primary content URLs
  • Consistent trailing slash usage (match existing site pattern)

Internal Linking Automation

  • Hub/spoke model: Category hub pages linking to individual programmatic pages
  • Related items: Auto-link to 3-5 related pages based on data attributes
  • Breadcrumbs: Generate BreadcrumbList schema from URL hierarchy
  • Cross-linking: Link between programmatic pages sharing attributes (same category, same city, same feature)
  • Anchor text: Use descriptive, varied anchor text. Avoid exact-match keyword repetition
  • Link density: 3-5 internal links per 1000 words (match seo-content guidelines)

Thin Content Safeguards

Quality Gates

Metric Threshold Action
Pages without content review 100+ ⚠️ WARNING: require content audit before publishing
Pages without justification 500+ 🛑 HARD STOP: require explicit user approval and thin content audit
Unique content per page <40% ❌ Flag as thin content (likely penalty risk)
Word count per page <300 ⚠️ Flag for review (may lack sufficient value)

Scaled Content Abuse: Enforcement Context (2025-2026)

Google's Scaled Content Abuse policy (introduced March 2024) saw major enforcement escalation in 2025:

  • June 2025: Wave of manual actions targeting websites with AI-generated content at scale
  • August 2025: SpamBrain spam update enhanced pattern detection for AI-generated link schemes and content farms
  • Result: Google reported 45% reduction in low-quality, unoriginal content in search results post-March 2024 enforcement

Enhanced quality gates for programmatic pages:

  • Content differentiation: ≥30-40% of content must be genuinely unique between any two programmatic pages (not just city/keyword string replacement)
  • Human review: Minimum 5-10% sample review of generated pages before publishing
  • Progressive rollout: Publish in batches of 50-100 pages. Monitor indexing and rankings for 2-4 weeks before expanding. Never publish 500+ programmatic pages simultaneously without explicit quality review.
  • Standalone value test: Each page should pass: "Would this page be worth publishing even if no other similar pages existed?"

…

FAQ

What are 'programmatic pages'?

These are pages automatically created in large quantities from structured data, such as lists of products or services.

What is 'thin content'?

It's low-quality content with little useful information, which can lead to search engine penalties.

How does the tool ensure quality?

It checks if the data is sufficient to create distinct content, if pages aren't copies of each other, and if there's enough information on each page.

Details

Original description by the author

Plan and audit programmatic SEO pages generated at scale from structured data. Use when designing templates, URL systems, internal linking, quality gates, and index-bloat safeguards for pages at scale.

repo: sickn33/agentic-awesome-skills

Popularity

GitHub stars
48k
Ranking position
#4137
License
MIT
Updated
10/15/2026

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