SkillAgentSearch skills...

programmatic-seo

When the user wants to create SEO-driven pages at scale using templates and data. Also use when the user mentions "programmatic SEO," "template pages," "pages at scale," "directory pages," "location pages," "[keyword] + [city] pages," "comparison pages," "integration pages," "building many pages for…

Install / Use

npx skills add coreyhaines31/marketingskills --skill programmatic-seo

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

92/100

Category

Marketing

Supported Platforms

Universal

Tags

Our assessment of programmatic-seo

programmatic-seo scores 92/100 on our quality scale, 29th of 112 Marketing skills we index (top 26%).

Its SKILL.md is 6.9 KB long, well organised into 26 sections and no code examples: a thorough specification that gives an agent plenty to work with.

With 51,376 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
29/30
Structure
13/20
Description
15/15
Adoption
20/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 20 days ago, so programmatic-seo is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.

Automated pattern scan on 2026-09-25. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

programmatic-seo compared with similar skills

All 4 of these similar skills score higher than programmatic-seo; compare them before choosing.

SkillScoreStarsUpdatedFormat
programmatic-seo (this skill)by coreyhaines319251.4k20d agoSKILL.md
algorithmic-artby anthropics100177.9k2d agoSKILL.md
pptxby anthropics100177.9k2d agoSKILL.md
designby nextlevelbuilder100130.2k3d agoSKILL.md
ui-ux-pro-maxby nextlevelbuilder100130.2k3d agoSKILL.md

Frequently asked questions

How do I install programmatic-seo?
Run npx skills add coreyhaines31/marketingskills --skill programmatic-seo. The install tabs above show the steps for each supported agent.
Which AI agents does programmatic-seo work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is programmatic-seo safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is programmatic-seo still maintained?
The repository was last updated 20 days ago, so programmatic-seo is actively maintained.

name: programmatic-seo description: When the user wants to create SEO-driven pages at scale using templates and data. Also use when the user mentions "programmatic SEO," "template pages," "pages at scale," "directory pages," "location pages," "[keyword] + [city] pages," "comparison pages," "integration pages," "building many pages for SEO," "pSEO," "generate 100 pages," "data-driven pages," or "templated landing pages." Use this whenever someone wants to create many similar pages targeting different keywords or locations. For auditing existing SEO issues, see seo-audit. For content strategy planning, see content-strategy. metadata: version: 2.0.0

Programmatic SEO

You are an expert in programmatic SEO—building SEO-optimized pages at scale using templates and data. Your goal is to create pages that rank, provide value, and avoid thin content penalties.

Initial Assessment

Check for product marketing context first: If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.

Before designing a programmatic SEO strategy, understand:

  1. Business Context

    • What's the product/service?
    • Who is the target audience?
    • What's the conversion goal for these pages?
  2. Opportunity Assessment

    • What search patterns exist?
    • How many potential pages?
    • What's the search volume distribution?
  3. Competitive Landscape

    • Who ranks for these terms now?
    • What do their pages look like?
    • Can you realistically compete?

Core Principles

1. Unique Value Per Page

  • Every page must provide value specific to that page
  • Not just swapped variables in a template
  • Maximize unique content—the more differentiated, the better

2. Proprietary Data Wins

Hierarchy of data defensibility:

  1. Proprietary (you created it)
  2. Product-derived (from your users)
  3. User-generated (your community)
  4. Licensed (exclusive access)
  5. Public (anyone can use—weakest)

3. Clean URL Structure

Use subfolders, not subdomains — subfolders consolidate domain authority while subdomains split it:

  • Good: yoursite.com/templates/resume/
  • Bad: templates.yoursite.com/resume/

4. Genuine Search Intent Match

Pages must actually answer what people are searching for.

5. Quality Over Quantity

Better to have 100 great pages than 10,000 thin ones.

6. Avoid Google Penalties

  • No doorway pages
  • No keyword stuffing
  • No duplicate content
  • Genuine utility for users

The 12 Playbooks (Overview)

| Playbook | Pattern | Example | |----------|---------|---------| | Templates | "[Type] template" | "resume template" | | Curation | "best [category]" | "best website builders" | | Conversions | "[X] to [Y]" | "$10 USD to GBP" | | Comparisons | "[X] vs [Y]" | "webflow vs wordpress" | | Examples | "[type] examples" | "landing page examples" | | Locations | "[service] in [location]" | "dentists in austin" | | Personas | "[product] for [audience]" | "crm for real estate" | | Integrations | "[product A] [product B] integration" | "slack asana integration" | | Glossary | "what is [term]" | "what is pSEO" | | Translations | Content in multiple languages | Localized content | | Directory | "[category] tools" | "ai copywriting tools" | | Profiles | "[entity name]" | "stripe ceo" |

For detailed playbook implementation: See references/playbooks.md


Choosing Your Playbook

| If you have... | Consider... | |----------------|-------------| | Proprietary data | Directories, Profiles | | Product with integrations | Integrations | | Design/creative product | Templates, Examples | | Multi-segment audience | Personas | | Local presence | Locations | | Tool or utility product | Conversions | | Content/expertise | Glossary, Curation | | Competitor landscape | Comparisons |

You can layer multiple playbooks (e.g., "Best coworking spaces in San Diego").


Implementation Framework

1. Keyword Pattern Research

Identify the pattern:

  • What's the repeating structure?
  • What are the variables?
  • How many unique combinations exist?

Validate demand:

  • Aggregate search volume
  • Volume distribution (head vs. long tail)
  • Trend direction

2. Data Requirements

Identify data sources:

  • What data populates each page?
  • Is it first-party, scraped, licensed, public?
  • How is it updated?

3. Template Design

Page structure:

  • Header with target keyword
  • Unique intro (not just variables swapped)
  • Data-driven sections
  • Related pages / internal links
  • CTAs appropriate to intent

Ensuring uniqueness:

  • Each page needs unique value
  • Conditional content based on data
  • Original insights/analysis per page

4. Internal Linking Architecture

Hub and spoke model:

  • Hub: Main category page
  • Spokes: Individual programmatic pages
  • Cross-links between related spokes

Avoid orphan pages:

  • Every page reachable from main site
  • XML sitemap for all pages
  • Breadcrumbs with structured data

5. Indexation Strategy

  • Prioritize high-volume patterns
  • Noindex very thin variations
  • Manage crawl budget thoughtfully
  • Separate sitemaps by page type

Quality Checks

Pre-Launch Checklist

Content quality:

  • [ ] Each page provides unique value
  • [ ] Answers search intent
  • [ ] Readable and useful

Technical SEO:

  • [ ] Unique titles and meta descriptions
  • [ ] Proper heading structure
  • [ ] Schema markup implemented
  • [ ] Page speed acceptable

Internal linking:

  • [ ] Connected to site architecture
  • [ ] Related pages linked
  • [ ] No orphan pages

Indexation:

  • [ ] In XML sitemap
  • [ ] Crawlable
  • [ ] No conflicting noindex

Post-Launch Monitoring

Track: Indexation rate, Rankings, Traffic, Engagement, Conversion

Watch for: Thin content warnings, Ranking drops, Manual actions, Crawl errors


Common Mistakes

  • Thin content: Just swapping city names in identical content
  • Keyword cannibalization: Multiple pages targeting same keyword
  • Over-generation: Creating pages with no search demand
  • Poor data quality: Outdated or incorrect information
  • Ignoring UX: Pages exist for Google, not users

Output Format

Strategy Document

  • Opportunity analysis
  • Implementation plan
  • Content guidelines

Page Template

  • URL structure
  • Title/meta templates
  • Content outline
  • Schema markup

Task-Specific Questions

  1. What keyword patterns are you targeting?
  2. What data do you have (or can acquire)?
  3. How many pages are you planning?
  4. What does your site authority look like?
  5. Who currently ranks for these terms?
  6. What's your technical stack?

Related Skills

  • seo-audit: For auditing programmatic pages after launch
  • schema: For adding structured data
  • site-architecture: For page hierarchy, URL structure, and internal linking
  • competitors: For comparison page frameworks

Related Skills

View on GitHub
GitHub Stars51.4k
CategoryMarketing
Updated20d ago
Forks7.8k

Languages

JavaScript

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions