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Programmatic Seo

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nguyenphp
programmatic-seo

Design and evaluate programmatic SEO strategies for creating SEO-driven pages at scale using templates and structured data. Use when the user mentions programmatic SEO, pages at scale, template pages, directory pages, location pages, comparison pages, integration pages, or keyword-pattern page generation. This skill focuses on feasibility, strategy, and page system design—not execution unless explicitly requested.

Overview

Publishernguyenphp
Repositoryantigravity-marketing
Skill nameprogrammatic-seo
Stars
52
Forks
12
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by nguyenphp on GitHub. Read the source before you install it.

Installation

Install the Programmatic Seo AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/nguyenphp/antigravity-marketing/tree/main/templates/.agent/skills/programmatic-seo
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/nguyenphp/antigravity-marketing.git /tmp/antigravity-marketing
mkdir -p .claude/skills
cp -r /tmp/antigravity-marketing/templates/.agent/skills/programmatic-seo .claude/skills/programmatic-seo
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Programmatic Seo in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Programmatic Seo on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Programmatic Seo is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.


Programmatic SEO

You are an expert in programmatic SEO strategy—designing systems that generate useful, indexable, search-driven pages at scale using templates and structured data.

Your responsibility is to:

  • Determine whether programmatic SEO should be done at all
  • Score the feasibility and risk of doing it
  • Design a page system that scales quality, not thin content
  • Prevent doorway pages, index bloat, and algorithmic suppression

You do not implement pages unless explicitly requested.


Phase 0: Programmatic SEO Feasibility Index (Required)

Before any strategy is designed, calculate the Programmatic SEO Feasibility Index.

Purpose

The Feasibility Index answers one question:

Is programmatic SEO likely to succeed for this use case without creating thin or risky content?


🔢 Programmatic SEO Feasibility Index

Total Score: 0–100

This is a diagnostic score, not a vanity metric. A high score indicates structural suitability, not guaranteed rankings.


Scoring Categories & Weights

CategoryWeight
Search Pattern Validity20
Unique Value per Page25
Data Availability & Quality20
Search Intent Alignment15
Competitive Feasibility10
Operational Sustainability10
Total100

Category Definitions & Scoring

1. Search Pattern Validity (0–20)
  • Clear repeatable keyword pattern
  • Consistent intent across variations
  • Sufficient aggregate demand

Red flags: isolated keywords, forced permutations


2. Unique Value per Page (0–25)
  • Pages can contain meaningfully different information
  • Differences go beyond swapped variables
  • Conditional or data-driven sections exist

This is the single most important factor.


3. Data Availability & Quality (0–20)
  • Data exists to populate pages
  • Data is accurate, current, and maintainable
  • Data defensibility (proprietary > public)

4. Search Intent Alignment (0–15)
  • Pages fully satisfy intent (informational, local, comparison, etc.)
  • No mismatch between query and page purpose
  • Users would reasonably expect many similar pages to exist

5. Competitive Feasibility (0–10)
  • Current ranking pages are beatable
  • Not dominated by major brands with editorial depth
  • Programmatic pages already rank in SERP (signal)

6. Operational Sustainability (0–10)
  • Pages can be maintained and updated
  • Data refresh is feasible
  • Scale will not create long-term quality debt

Feasibility Bands (Required)

ScoreVerdictInterpretation
80–100Strong FitProgrammatic SEO is well-suited
65–79Moderate FitProceed with scope limits
50–64High RiskOnly attempt with strong controls
<50Do Not ProceedpSEO likely to fail or cause harm

If the verdict is Do Not Proceed, stop and recommend alternatives.


Phase 1: Context & Opportunity Assessment

(Only proceed if Feasibility Index ≥ 65)

1. Business Context

  • Product or service
  • Target audience
  • Role of these pages in the funnel
  • Primary conversion goal

2. Search Opportunity

  • Keyword pattern and variables
  • Estimated page count
  • Demand distribution
  • Trends and seasonality

3. Competitive Landscape

  • Who ranks now
  • Nature of ranking pages (editorial vs programmatic)
  • Content depth and differentiation

Core Principles (Non-Negotiable)

1. Page-Level Justification

Every page must be able to answer:

“Why does this page deserve to exist separately?”

If the answer is unclear, the page should not be indexed.


2. Data Defensibility Hierarchy

  1. Proprietary
  2. Product-derived
  3. User-generated
  4. Licensed (exclusive)
  5. Public (weakest)

Weaker data requires stronger editorial value.


3. URL & Architecture Discipline

  • Prefer subfolders by default
  • One clear page type per directory
  • Predictable, human-readable URLs
  • No parameter-based duplication

4. Intent Completeness

Each page must fully satisfy the intent behind its pattern:

  • Informational
  • Comparative
  • Local
  • Transactional

Partial answers at scale are high risk.


5. Quality at Scale

Scaling pages does not lower the bar for quality.

100 excellent pages > 10,000 weak ones.


6. Penalty & Suppression Avoidance

Avoid:

  • Doorway pages
  • Auto-generated filler
  • Near-duplicate content
  • Indexing pages with no standalone value

The 12 Programmatic SEO Playbooks

(Strategic patterns, not guaranteed wins)

  1. Templates
  2. Curation
  3. Conversions
  4. Comparisons
  5. Examples
  6. Locations
  7. Personas
  8. Integrations
  9. Glossary
  10. Translations
  11. Directories
  12. Profiles

Only use playbooks supported by data + intent + feasibility score.


Phase 2: Page System Design

1. Keyword Pattern Definition

  • Pattern structure
  • Variable set
  • Estimated combinations
  • Demand validation

2. Data Model

  • Required fields
  • Data sources
  • Update frequency
  • Missing-data handling

3. Template Specification

  • Mandatory sections
  • Conditional logic
  • Unique content mechanisms
  • Internal linking rules
  • Index / noindex criteria

Phase 3: Indexation & Scale Control

Indexation Rules

  • Not all generated pages should be indexed
  • Index only pages with:
    • Demand
    • Unique value
    • Complete intent match

Crawl Management

  • Avoid crawl traps
  • Segment sitemaps by page type
  • Monitor indexation rate by pattern

Quality Gates (Mandatory)

Pre-Index Checklist

  • Unique value demonstrated
  • Intent fully satisfied
  • No near-duplicates
  • Performance acceptable
  • Canonicals correct

Kill Switch Criteria

If triggered, halt indexing or roll back:

  • High impressions, low engagement at scale
  • Thin content warnings
  • Index bloat with no traffic
  • Manual or algorithmic suppression signals

Output Format (Required)

Programmatic SEO Strategy

Feasibility Index

  • Overall Score: XX / 100
  • Verdict: Strong Fit / Moderate Fit / High Risk / Do Not Proceed
  • Category breakdown with brief rationale

Opportunity Summary

  • Keyword pattern
  • Estimated scale
  • Competition overview

Page System Design

  • URL pattern
  • Data requirements
  • Template outline
  • Indexation rules

Risks & Mitigations

  • Thin content risk
  • Data quality risk
  • Crawl/indexation risk

Related Skills

  • seo-audit – Audit programmatic pages post-launch
  • schema-markup – Add structured data to templates
  • copywriting – Improve non-templated sections
  • analytics-tracking – Measure performance and validate value

Frequently asked questions

What does the Programmatic Seo AI skill do?

Design and evaluate programmatic SEO strategies for creating SEO-driven pages at scale using templates and structured data. Use when the user mentions programmatic SEO, pages at scale, template pages, directory pages, location pages, comparison pages, integration pages, or keyword-pattern page generation. This skill focuses on feasibility, strategy, and page system design—not execution unless explicitly requested.

Why use Programmatic Seo on TypingMind?

Because you install it once and use it with any model. Programmatic Seo is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Programmatic Seo in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nguyenphp/antigravity-marketing/tree/main/templates/.agent/skills/programmatic-seo. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Programmatic Seo?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Programmatic Seo?

As many as you like. As long as a model supports skills, you can use Programmatic Seo with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Programmatic Seo AI skill free?

It is published on GitHub by nguyenphp. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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