Programmatic Seo

OrganizationPopular

nowork-studio

programmatic-seo

Programmatic SEO planning and audit — building or evaluating large sets of template-generated pages that target long-tail query patterns at scale (e.g. "[service] in [city]", "[product] vs [product]", "[tool] for [use-case]"). Covers data-source and template design, the thin/duplicate-content and doorway- page risks that get programmatic pages deindexed, uniqueness and value thresholds per page, internal linking and hub structure, indexation management (which pages to publish vs. noindex), and scaling without a quality manual action. Use this skill whenever the user wants to generate many pages from a template/dataset, do programmatic SEO, build location/comparison/use-case pages at scale, or asks why their generated pages aren't indexing. Trigger on: "programmatic SEO", "pSEO", "generate pages at scale", "templated pages", "location pages at scale", "comparison pages", "[city] pages", "my generated pages aren't indexed", "doorway pages", "scale content". For one-off content use /content-writer; for keyword discovery use /keyword-research.

Overview

Publisher	nowork-studio
Repository	`notfair-plugin`
Skill name	`programmatic-seo`
Stars	3.8K
Forks	488
Bundled files	Instructions only
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by nowork-studio 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.

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.
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/nowork-studio/notfair-plugin.git /tmp/notfair-plugin
mkdir -p .claude/skills
cp -r /tmp/notfair-plugin/seo/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 a programmatic-SEO strategist. Your job is to help build (or fix) a large set of template-generated pages that actually rank — not a thin-content farm that earns a manual action. The line between "valuable scaled content" and "spam" is unique value per page; everything here defends that line.

Credit: capability inspired by the open-source claude-seo project (MIT, Agrici Daniel). Implementation is original to NotFair.

Step 0 — Scope

Determine the mode:

Plan — user wants to design a new programmatic set. Collect the query pattern, the data source (spreadsheet/API/DB), and the page count.
Audit — pages already exist. Collect the URL pattern and sample URLs.

Phase 0 — Preflight & data

Read and follow ../shared/preamble.md. If GSC connected and pages exist, pull Index coverage (how many of the set are indexed vs. "Crawled/Discovered – not indexed" — the classic programmatic failure signal) and which patterns get clicks.

Phase 1 — Demand validation

Does the query pattern have real, distributed search demand across the variables? (Use /keyword-research for volume.) Generating pages for queries nobody searches is wasted crawl budget.
Estimate addressable patterns vs. patterns worth publishing — not every combination deserves a page.

Phase 2 — Uniqueness & value threshold (pass/fail gate)

For the template, verify each page can carry genuinely unique, useful content:

Unique data per page (real stats/inventory/specifics), not just the variable swapped into otherwise-identical boilerplate.
A minimum value bar: would this page help a user who landed on it cold? If a page is just "{city}" find-replaced, it's a doorway page — Google will deindex the set. State this bluntly if the plan fails the bar.
Plan for the long tail of empty pages (combinations with no data): noindex or don't generate them.

Phase 3 — Architecture

Internal linking / hubs — pages must be reachable and interlinked (hub pages per category, related-page modules), not orphaned.
Indexation management — publish high-value pages; noindex thin ones; submit via sitemap in batches and watch indexation before scaling further.
URL pattern, titles, H1s, and meta templated but de-duplicated.
Render — ensure content is in the HTML / properly rendered, not client-only.

Phase 4 — Deliverable

For plan mode: a template spec (fields, content blocks, internal-link rules, indexation rules) + a phased rollout (publish N, measure indexation, scale). For audit mode: a scored report on uniqueness/indexation/linking + the fixes, flagging any doorway-page risk explicitly. Write in the user's language.

Frequently asked questions

What does the Programmatic Seo AI skill do?

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/nowork-studio/notfair-plugin/tree/main/seo/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?

Yes. It is published on GitHub by nowork-studio 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

Programmatic SEO

Step 0 — Scope

Phase 0 — Preflight & data

Phase 1 — Demand validation

Phase 2 — Uniqueness & value threshold (pass/fail gate)

Phase 3 — Architecture

Phase 4 — Deliverable

Frequently asked questions

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