Programmatic Seo logo

Programmatic Seo

CommunityPopular
cbrock84
programmatic-seo

Builds large sets of search-targeted pages from a template and a dataset — the location, comparison, integration, and use-case pages that capture long-tail demand at scale. Use this when there is a repeating query pattern with real volume, when a dataset could answer many similar searches, or to judge whether a programmatic approach is viable before building it.

Overview

Publishercbrock84
Repositoryheadcount
Skill nameprogrammatic-seo
Stars
1.6K
Forks
237
Bundled files
1
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • 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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by cbrock84 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.
  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/cbrock84/headcount.git /tmp/headcount
mkdir -p .claude/skills
cp -r /tmp/headcount/plugins/demand-generation/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

Done well, one template covers thousands of real searches. Done badly, it is a mass of thin pages that damages the whole domain.

Qualify before building

All four must hold:

  1. A real query pattern with verified volume across many instances — not one popular term and a long tail of zeroes.
  2. Data you actually have, at quality, for most instances. Missing data produces empty pages, and empty pages are the failure mode.
  3. Genuine per-page value. If two pages differ only by a swapped noun, they are duplicates however they are generated.
  4. A reason to be better than what ranks now. Usually completeness, freshness, or data nobody else has.

Fail any one and the answer is fewer, better pages.

Building

  • Design the best single page first, by hand, and confirm it is genuinely useful. Then find what in it is variable. Templating before you know the good page scales a mediocre one.
  • Vary the substance, not just the strings. Each page needs data, comparisons, or context specific to it.
  • Set a minimum data threshold. Below it, the page does not get generated. This single rule prevents most programmatic disasters.
  • Internal linking is not optional — thousands of orphaned pages will not be crawled. Build hub pages and cross-links into the template.
  • Roll out in batches. Publish a few hundred, wait for indexation and performance, then continue. A full launch that goes wrong is hard to unwind.

Maintaining

Stale programmatic pages rot faster than editorial ones because there are so many. Set a refresh cadence tied to the data source, and prune: pages with no impressions after two quarters should be consolidated or removed. Volume is not the goal.

Sources

references/sources.md in this skill lists the outside authorities that settle the questions here — what each one is authoritative for, and what you may do with it. Check them before answering on anything they cover, and cite what you used. Most are free to read and not free to reproduce; the use note on each is binding.

Never

  • Generate pages for instances with no data.
  • Spin text to create the appearance of uniqueness.
  • Launch without a plan for removing what does not work.

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 Programmatic Seo AI skill do?

Builds large sets of search-targeted pages from a template and a dataset — the location, comparison, integration, and use-case pages that capture long-tail demand at scale. Use this when there is a repeating query pattern with real volume, when a dataset could answer many similar searches, or to judge whether a programmatic approach is viable before building it.

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/cbrock84/headcount/tree/main/plugins/demand-generation/skills/programmatic-seo. 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 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?

Yes. It is published on GitHub by cbrock84 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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