Pillar Pages

Organization

LeadMagic

pillar-pages

Designs pillar pages and topic clusters: hub page outlines, cluster keyword maps, and internal linking so the hub ranks for high-intent head terms. Use when the user is building cornerstone content, organizing a blog into clusters, or planning a pillar page for a specific topic. Triggers on: "pillar page", "topic cluster", "hub page", "cornerstone content", "SEO pillar".

Overview

Publisher	LeadMagic
Repository	`gtm-skills`
Skill name	`pillar-pages`
Stars	72
Forks	18
Bundled files	4
License	MIT
Links	Skill source Repository Homepage

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.
4 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by LeadMagic on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/LeadMagic/gtm-skills/tree/main/skills/content-seo/pillar-pages
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.

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/LeadMagic/gtm-skills.git /tmp/gtm-skills
mkdir -p .claude/skills
cp -r /tmp/gtm-skills/skills/content-seo/pillar-pages .claude/skills/pillar-pages

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pillar Pages 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 Pillar Pages 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 Pillar Pages 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.

Pillar Pages & Topic Clusters

Overview

Pillar pages are comprehensive, authoritative pages that cover a topic broadly and link to detailed cluster content on specific subtopics. This architecture signals to Google that you're the authority on the topic, boosting rankings across the entire cluster.

Authoritative Foundations

HubSpot — Topic cluster model — Link one broad pillar page to cluster posts on subtopics, and link every cluster post back to the pillar.
Ahrefs — Keyword research by parent topic — Group keywords by the pages that already rank for them together; one pillar should target one parent topic.
Eli Schwartz — Product-Led SEO — Build pillars around what users need from the product, not only keyword volume.
Google Search Central — SEO Starter Guide — Use descriptive internal anchor text and a clear heading hierarchy so the cluster structure is crawlable.

When to Use

"Build a pillar page"
"Topic cluster strategy"
"Cornerstone content"
"Pillar page for [topic]"

Step-by-Step Process

Phase 1: Pillar Topic Selection

A pillar topic must be:

High search volume: 500-5,000+ monthly searches
High business value: Directly related to your product/ICP
Broad enough for clusters: At least 10-15 subtopics
Evergreen: Not news-dependent, will be relevant for years
Competitive but winnable: Check current top 10 — if they're all DR 70+ sites and you're DR 30, pick a different pillar

Phase 2: Cluster Mapping

Map the pillar's universe:

Core subtopics: 8-12 key areas the pillar must cover
Cluster content: 3-5 detailed articles per subtopic
Question clusters: The 20-30 questions people ask about this topic (from People Also Ask, Reddit, Quora, customer conversations)
Internal link map: Every cluster article links to the pillar. The pillar links to every cluster article. Cluster articles link to each other where relevant.

Phase 3: Pillar Page Structure

H1: [Topic]: The Complete Guide (or similar)
Executive summary: 2-3 paragraphs. What this covers, who it's for, key takeaways. This is what Google shows in featured snippets.
Table of contents: Jump links to each section
Section per subtopic: Each H2 covers one subtopic. 200-400 words per section. Link to the full cluster article for "deep dive."
Data & examples: Original data, customer examples, screenshots, case studies
Visual elements: Diagrams, charts, comparison tables, infographics
Expert contributions: Quotes from internal experts, customers, industry voices
Total length: 3,000-5,000 words. Long enough to be comprehensive, not so long that nobody reads it.

Phase 4: Internal Linking

Pillar → Cluster: In each pillar section, link to the full cluster article with descriptive anchor text
Cluster → Pillar: Every cluster article links to the pillar with a standard "Part of our [Topic] guide" callout
Cluster → Cluster: Cross-link between related cluster articles
Navigation: The pillar is linked from the main navigation or resource center
New content: Every new article on this topic gets a link from the pillar and links back to the pillar

Phase 5: Maintenance & Updates

Quarterly review: Check rankings, traffic, and conversion for the pillar and all cluster content
Annual refresh: Update data, examples, screenshots, and expert quotes. Republish with updated date.
Cluster expansion: Add new cluster articles as you identify new subtopics
Performance optimization: Improve page speed, mobile experience, and Core Web Vitals for the pillar page

Output Format

Pillar page plan with: topic selection justification, cluster map, content outline, internal linking diagram, and maintenance calendar.

Quality Check

Before delivering, verify:

All required sections are complete
Output matches the user's stated need
Named frameworks are cited for key recommendations
No vague claims — every recommendation has a specific action
Deliverable is ready for operational use, not just conceptual

Common Pitfalls

Writing for search engines, not humans. Keyword-stuffed content that reads like a robot wrote it. Fix: write for your ICP first, optimize for search second.
Publishing and praying. Creating content without a distribution plan. Fix: every piece gets a 30-day promotion calendar across email, social, and paid.
Ignoring content freshness. 2-year-old content with outdated data and examples still ranking. Fix: quarterly content audit — update or retire stale pieces.

Implementation Depth

Use this section when the user asks for a finished asset, not a high-level explanation.

Diagnostic Questions

What is the primary motion: founder-led, sales-led, product-led, partner-led, or lifecycle-led?
Which ICP tier is the output for: small business, mid-market, enterprise, or mixed?
What proof is available today: customer stories, usage data, third-party validation, screenshots, or none?
What system will execute the work: CRM, sequencer, warehouse, support desk, product analytics, or manual workflow?
What decision will the user make from this output: launch, prioritize, route, rewrite, score, coach, or measure?

Framework Application

Map the recommendation explicitly to the named frameworks in this skill:

HubSpot Topic Cluster Model: apply only the part that directly improves the requested deliverable.
Animalz Content Strategy: apply only the part that directly improves the requested deliverable.
Google Search Central — SEO Starter Guide: apply only the part that directly improves the requested deliverable.

Deliverable Standard

A strong output from this skill includes:

A crisp diagnosis of the current situation
A recommended path with tradeoffs, not a generic list
A concrete artifact the user can use immediately: table, script, checklist, scorecard, sequence, dashboard spec, or implementation plan
A measurement plan with leading and lagging indicators
Risks and edge cases called out before execution

Adaptation Rules

For small business: reduce complexity, shorten time-to-value, and prioritize owner/operator clarity.
For mid-market: include workflow ownership, handoffs, integrations, and enablement assets.
For enterprise: include governance, risk, procurement, stakeholder mapping, and proof requirements.

Execution Artifacts

references/framework-notes.md — Ahrefs cluster model, Schwartz product-led pillars, Pattern 25 routing
templates/output-template.md — Deliverable shell for agent output
scripts/check-output.py — Lightweight deliverable validator
references/seo-strategy-playbook.md — Repo root: §3 keyword tiers and cluster structure
the using-gtm-skills skill — Pattern 25: B2B SEO Stack (step 2)

Related Skills

seo-strategy, content-marketing, faq-seo, citation-harvesting, landing-pages

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Pillar Pages AI skill do?

Why use Pillar Pages on TypingMind?

Because you install it once and use it with any model. Pillar Pages 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 Pillar Pages in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/LeadMagic/gtm-skills/tree/main/skills/content-seo/pillar-pages. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Pillar Pages?

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 Pillar Pages?

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

Is the Pillar Pages AI skill free?

Yes. It is published on GitHub by LeadMagic under the MIT license. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Pillar Pages & Topic Clusters

Overview

Authoritative Foundations

When to Use

Step-by-Step Process

Phase 1: Pillar Topic Selection

Phase 2: Cluster Mapping

Phase 3: Pillar Page Structure

Phase 4: Internal Linking

Phase 5: Maintenance & Updates

Output Format

Quality Check

Common Pitfalls

Implementation Depth

Diagnostic Questions

Framework Application

Deliverable Standard

Adaptation Rules

Execution Artifacts

Related Skills

Bundled files

Frequently asked questions

Related AI Skills

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