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Agent skill

Programmatic SEO

by cbrock84 in cbrock84/headcount

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.

MITAuto-check passedMarketing & SEO

Install Programmatic SEO

skills CLI
$ npx skills add cbrock84/headcount --skill programmatic-seo -a claude-code

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

GitHub CLI
$ gh skill install cbrock84/headcount 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/cbrock84/headcount.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/demand-generation/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
2k
Token cost
~668 tokens
SKILL.md length
364 words
Files
2 (incl. references)
Skills in repo
175
Repo updated
First seen
Licence
MIT

At a glance

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.

  • Works in 4 steps: A real query pattern with verified… → Data you actually have, at quality, for… → Genuine per-page value. If two pages… → …
  • Tasks that involve Programmatic SEO
  • SKILL.md covers Qualify before building, Building, Maintaining and Sources, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Programmatic SEO is an agent skill from cbrock84/headcount. 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.

Its SKILL.md is about 670 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/sources.md`).

It sits in Marketing & SEO, covering Programmatic SEO. The repository describes itself as: An agent organization structured as a company — 15+ departments, 125+ skills, each independently installable, citing the standards and regulators that settle the question. Runs… The licence is MIT.

When your agent uses it

  • Tasks that involve Programmatic SEO

Example prompts

  • “Use the programmatic-seo skill to build large sets of search-targeted pages from a template and a dataset — the location, comparison, integration…”
  • “/programmatic-seo”

Workflow steps

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

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

What it can do on your machine

Read from SKILL.md and the folder at commit 98d1c17. 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

    No URLs in SKILL.md.

    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 668 tokens when it runs, and up to ~1.3k if it reads all its reference files. Until then it costs about 95 tokens; SKILL.md has 364 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~95
When it runs · the whole SKILL.md, loaded when a task matches
~668
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.3k

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 cbrock84/headcount at commit 98d1c17, republished under its MIT licence (© cbrock84). 364 words, ~668 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
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.

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.
Show full SKILL.md (125 more words)Show less

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.

© cbrock84, 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/demand-generation/skills/programmatic-seo of cbrock84/headcount.

  • SKILL.md
  • references/sources.md

Open the folder on GitHubat commit 98d1c17

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 skillcbrock84/headcount2k—~668Automated 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/dotfiles1k24 repos~2kAutomated safety check: PassNone
Programmatic SEOfreekmurze/dotfiles1k22 repos~1.7kAutomated safety check: PassNone
Directory Submissionscoreyhaines31/marketingskills54k2 repos~6.3kAutomated safety check: PassMIT

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Categories

Questions about Programmatic SEO

What does Programmatic SEO 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. Programmatic SEO is an agent skill from cbrock84/headcount. 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.

When should I use Programmatic SEO?

Programmatic SEO fits situations like: tasks that involve Programmatic SEO.

How do I install Programmatic SEO in Claude Code?

Run `npx skills add cbrock84/headcount --skill programmatic-seo -a claude-code`. Or copy the skill folder (plugins/demand-generation/skills/programmatic-seo in cbrock84/headcount) 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 cbrock84/headcount --skill programmatic-seo -a codex`. Or copy the skill folder (plugins/demand-generation/skills/programmatic-seo in cbrock84/headcount) 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 cbrock84/headcount --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 contains no URLs. Any network use would come from the scripts or tools the agent runs. 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 (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Programmatic SEO use?

About 668 tokens (SKILL.md is roughly 2.7k 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 659 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?

cbrock84 (a GitHub user) maintains it in cbrock84/headcount, which has 2,007 GitHub stars. The repository holds 175 skills in this directory. The repository was last updated on September 17, 2026.

Source: cbrock84/headcount on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.