SEO & marketing · Source review 2026-10-22

Corey Haines Programmatic SEO Skill

Evaluates template-driven page families using data quality, intent and unique utility. A good trial should identify pages to withhold as well as pages to build.

Publisher: Corey Haines · Editorial profile by AI Tools Ratings · Review method

What task is this skill designed for?

Assess whether a directory dataset supports ten useful comparison pages before expanding to hundreds.

What input and output should you expect?

Input: A small permitted dataset with provenance, update dates, missing values, intended queries and examples of existing pages.

Output: A candidate page template, sample records, internal-link plan and explicit publish/withhold criteria for insufficient data.

What does it need to run?

Agent Skills client, a trustworthy dataset and the actual site stack. Inspect the playbook and implementation-platform references for the chosen family. Research APIs and a CMS are optional until implementation.

The pinned publisher README declares support for Agent Skills clients including Claude Code, Codex and Cursor. Compatibility follows the publisher’s stated support.

How should you approach installation?

  1. Inspect the pinned SKILL.md, license and referenced files needed for your specific task before installation.
  2. Follow the publisher README for your actual Agent Skills client.
  3. Try the illustrative prompt with synthetic material in a separate workspace. Review the checklist and approve any publishing, account or external-message action separately.

Installation guide: discovery, dependencies and runtime checks

What files, accounts or data can it access?

Reads datasets and may generate page files. Crawlers and external data services receive queries or URLs; protect licensed data and unpublished records. Keep generated pages in a review directory until approved.

What does the skill cost?

MIT-licensed source. Agent subscriptions, model usage and optional research or analytics services have separate costs.

What are its limits and alternatives?

Swapping a location or product name into generic prose does not add useful information. Large output volume can multiply stale or unsupported facts. The source's architecture preferences do not establish guaranteed search outcomes.

Use Site Architecture for navigation and existing-page organization. Use Content Strategy when the unanswered question is which topics deserve original research rather than templated pages.

What could you ask in a small trial?

Try this with a small sample:

Evaluate these ten synthetic records. Produce one page with decision-useful differences, withhold rows missing essential evidence and explain the minimum data needed to publish them. Do not fill blanks by guessing.

How would you verify the result?

  1. Check every displayed fact against its record and source.
  2. Confirm thin records are withheld rather than padded.
  3. Verify canonical URLs, internal links and update ownership for the sample family.

Use a baseline and record acceptance evidence before treating a successful task as a reliable workflow.

Which source and license were checked?

Read the reviewed SKILL.md at its pinned commit · Complete reviewed folder

Repository and current publisher guidance

Checked:

MIT — identified in the repository LICENSE at the pinned commit. External services and dependencies have their own terms. License evidence

Version details and review scope

Source: coreyhaines31/marketingskills/skills/programmatic-seo
Reviewed commit: e85f3cbc2e4a79bf33b2a12e9bdd9087d414735b

SKILL.md SHA-256: b31208c88e2b018214f61f514bce9bbc7724ceef794c0bcf6a9f762cb91cf254

Source-document review. This profile covers the source workflow, stated dependencies and license evidence. See our editorial methodology for how we distinguish source reviews and hands-on evaluations.

Report an error, license concern or request a new review.

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