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Agent skill

Programmatic SEO

by fcakyon in fcakyon/claude-codex-settings

A skill your agent uses when planning many similar pages from a template and a data set: choosing the pattern, deciding whether the data can carry it, and avoiding the thin-content failure that gets…

MITAuto-check passedMarketing & SEO

Install Programmatic SEO

skills CLI
$ npx skills add fcakyon/claude-codex-settings --skill programmatic-seo -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install fcakyon/claude-codex-settings programmatic-seo --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/fcakyon/claude-codex-settings.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/seo-skills/skills/programmatic-seo .claude/skills/programmatic-seo && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
programmatic-seo
GitHub stars
1.2k
Token cost
~1.3k tokens
SKILL.md length
725 words
Files
2 (incl. references)
Skills in repo
43
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when planning many similar pages from a template and a data set: choosing the pattern, deciding whether the data can carry it, and avoiding the thin-content failure that gets…

  • Works in 5 steps: Proprietary, because you generated it. → Product-derived, from how your own users… → User-generated, from your community. → …
  • Planning many similar pages from a template and a data set: choosing the pattern
  • SKILL.md covers Does the data carry it, Choosing a pattern, Making each page worth indexing and Structure and indexation, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Programmatic SEO is an agent skill from fcakyon/claude-codex-settings. Use when planning many similar pages from a template and a data set: choosing the pattern, deciding whether the data can carry it, and avoiding the thin-content failure that gets page sets deindexed.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/playbooks.md`).

It sits in Marketing & SEO, covering Programmatic SEO. The repository describes itself as: Battle-tested Claude Code, OpenAI Codex, Cursor configs, plugins, hooks and agents with Kimi, MiniMax and GLM API support. The licence is MIT.

When your agent uses it

  • Planning many similar pages from a template and a data set: choosing the pattern
  • Deciding whether the data can carry it
  • Avoiding the thin-content failure that gets page sets deindexed

Example prompts

  • “/programmatic-seo”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Proprietary, because you generated it.
  2. Product-derived, from how your own users behave.
  3. User-generated, from your community.
  4. Licensed, where the license is exclusive.
  5. Public, which anyone can use and everyone already has.

What it can do on your machine

Read from SKILL.md and the folder at commit a035b4e. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • developers.google.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Programmatic SEO loads about 1.3k tokens when it runs, and up to ~2.7k if it reads all its reference files. Until then it costs about 54 tokens; SKILL.md has 725 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~54
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from fcakyon/claude-codex-settings at commit a035b4e, republished under its MIT licence (© fcakyon). 725 words, ~1,257 tokens.

Download SKILL.mdSave it as .claude/skills/programmatic-seo/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
programmatic-seo
description
Use when planning many similar pages from a template and a data set: choosing the pattern, deciding whether the data can carry it, and avoiding the thin-content failure that gets page sets deindexed.
license
MIT

Programmatic SEO

Building pages from a template and a data set works when each page answers a real query with something only your data can say. It fails the same way every time: a template with the variable swapped, published at volume, on queries nobody searches. That is the definition of a doorway page, and Google's spam policies name it.

So the question to settle before any of the mechanics is whether the data is worth a page.

Does the data carry it

Defensibility runs in this order, strongest first:

  1. Proprietary, because you generated it.
  2. Product-derived, from how your own users behave.
  3. User-generated, from your community.
  4. Licensed, where the license is exclusive.
  5. Public, which anyone can use and everyone already has.

A set built on public data competes with every other set built on the same public data, so it has to win on presentation, freshness, or aggregation instead. That is possible and it is a much harder brief. Say so rather than shipping 5,000 pages that restate a public API.

Then check demand actually exists: aggregate volume across the pattern, how it splits between head and long tail, and whether the trend is going anywhere. A pattern with 10,000 combinations and no searches for 9,000 of them is a 1,000-page opportunity.

Choosing a pattern

You haveConsider
Proprietary data setDirectory, Profiles
A product with integrationsIntegrations
A design or creative productTemplates, Examples
Several distinct audience segmentsPersonas
A local footprintLocations
A utility or calculatorConversions
Deep subject expertiseGlossary, Curation
A crowded competitive fieldComparisons

references/playbooks.md covers the twelve patterns, each with its query shape, what data it needs, and how it usually fails.

Patterns layer, and layering is often where the real opportunity is: "best coworking spaces in Austin" is Curation crossed with Locations.

Making each page worth indexing

  • Every page needs something specific to it beyond the substituted variable: a number, a comparison, a list, an image, a genuine answer.
  • Write the introduction per page, or generate it from enough fields that no two read alike. A shared paragraph with one word swapped is the tell.
  • Vary structure by what the data supports. A page with three data points shouldn't use the layout built for thirty; branch the template instead of padding.
  • Give each page a unique title and meta description built from its variables, not one pattern with the variable appended.
  • Match the query's intent. A comparison query wants a comparison, not a signup page.
Show full SKILL.md (308 more words)Show less

Structure and indexation

  • Subfolders, not subdomains, so the pages build authority on the same domain rather than splitting it.
  • Hub and spoke: a category page linking to every page in the set, each page linking back, and related pages cross-linking. Otherwise the set is orphaned and only the sitemap points at it.
  • Own sitemap for the set, or a sitemap per pattern, so indexing rates per pattern are readable.
  • Ship the strongest slice first rather than the whole set. Publish the highest-demand pages, confirm they get indexed and ranked, then expand. A set that goes out all at once gives no signal about which part worked.
  • Leave the thinnest variations out entirely. That is better than publishing them and noindexing them later, since crawl spent on pages you didn't want is crawl not spent on pages you did.

Before it ships

Check that each page has unique value and answers its query, that titles and descriptions are unique, that heading structure and schema are in place, that the set is linked from the site rather than only the sitemap, that no page has a conflicting noindex, and that nothing in the set competes with an existing page for the same query.

After launch, watch what fraction of the set gets indexed, which patterns rank, and whether engagement holds up. Thin-content warnings, a drop across the set, or an indexing rate that stalls well below 100% all mean the same thing: cut, don't add.

What this hands off

Programmatic SEO decides the pattern, the data, the URL shape, the template's sections, and the linking. The words inside a template section are copy: hand the content marketer the template, the target query, and the fields available per page.

Sources

© fcakyon, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in plugins/seo-skills/skills/programmatic-seo of fcakyon/claude-codex-settings.

  • SKILL.md
  • references/playbooks.md

Open the folder on GitHubat commit a035b4e

Compare with similar skills

Programmatic SEO next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Programmatic SEO compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Programmatic SEO this skillfcakyon/claude-codex-settings1.2k—~1.3kAutomated safety check: PassMIT
SEO Competitor Comparison PagesAgriciDaniel/claude-seo18k5 repos~1.9kAutomated safety check: PassMIT
Universal SEO AnalysisAgriciDaniel/claude-seo18k—~4.9kAutomated safety check: PassMIT
Competitor Alternativesfreekmurze/dotfiles1k23 repos~2kAutomated safety check: PassNone
Programmatic SEOfreekmurze/dotfiles1k21 repos~1.7kAutomated safety check: PassNone
Global SEO Growthminhnv0807/ai-business-skills608—~5kAutomated safety check: PassMIT

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Categories

Questions about Programmatic SEO

What does Programmatic SEO do?

A skill your agent uses when planning many similar pages from a template and a data set: choosing the pattern, deciding whether the data can carry it, and avoiding the thin-content failure that gets…. Programmatic SEO is an agent skill from fcakyon/claude-codex-settings. Use when planning many similar pages from a template and a data set: choosing the pattern, deciding whether the data can carry it, and avoiding the thin-content failure that gets page sets deindexed.

When should I use Programmatic SEO?

Programmatic SEO fits situations like: planning many similar pages from a template and a data set: choosing the pattern; deciding whether the data can carry it; avoiding the thin-content failure that gets page sets deindexed.

How do I install Programmatic SEO in Claude Code?

Run `npx skills add fcakyon/claude-codex-settings --skill programmatic-seo -a claude-code`. Or copy the skill folder (plugins/seo-skills/skills/programmatic-seo in fcakyon/claude-codex-settings) into .claude/skills/programmatic-seo in your project. Claude Code loads it when a task matches its description.

How do I install Programmatic SEO in Codex?

Run `npx skills add fcakyon/claude-codex-settings --skill programmatic-seo -a codex`. Or copy the skill folder (plugins/seo-skills/skills/programmatic-seo in fcakyon/claude-codex-settings) into .agents/skills/programmatic-seo in your project. Codex loads it when a task matches its description.

Can I use Programmatic SEO in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add fcakyon/claude-codex-settings --skill programmatic-seo -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/programmatic-seo, .gemini/skills/programmatic-seo, .github/skills/programmatic-seo and .opencode/skills/programmatic-seo in your project.

What does Programmatic SEO need to run?

SKILL.md names no scripts, command-line tools or credentials: Programmatic SEO is instructions for the agent only.

Does Programmatic SEO access the network?

SKILL.md names 1 domain. As links in the text: developers.google.com. This is read from the text; nothing was executed.

Is Programmatic SEO safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Programmatic SEO use?

Programmatic SEO is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Programmatic SEO use?

About 1.3k tokens (SKILL.md is roughly 5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.4k tokens, read only when the agent opens those files.

What are the alternatives to Programmatic SEO?

Skills that share tags, products or a category with Programmatic SEO: SEO Competitor Comparison Pages (AgriciDaniel/claude-seo, 18k stars), Universal SEO Analysis (AgriciDaniel/claude-seo, 18k stars), Competitor Alternatives (freekmurze/dotfiles, 1k stars) and Programmatic SEO (freekmurze/dotfiles, 1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Programmatic SEO?

fcakyon (a GitHub user) maintains it in fcakyon/claude-codex-settings, which has 1,163 GitHub stars. The repository holds 43 skills in this directory. The repository was last updated on October 6, 2026.

Source: fcakyon/claude-codex-settings on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.