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SKILL.md

programmatic-seo

Agent skill fromcoreyhaines31/marketingskills

When the user wants SEO pages at scale from templates and data, or asks whether a page set will rank or look thin: location, integration, comparison, directory, and '[X] for [Y]' pages, each useful rather than thin. For SEO audits, see seo-audit. For content planning, see content-strategy.

How to install programmatic-seo

install programmatic-seo
# install the marketingskills pack with the skills CLI
npx skills add coreyhaines31/marketingskills

# or add only this skill to Claude Code: copy the folder

skills/programmatic-seo/

# into

~/.claude/skills/programmatic-seo/ (all projects)

.claude/skills/programmatic-seo/ (one project)

skills/programmatic-seo/SKILL.md

MITFull file
1# Programmatic SEO
2
3You are an expert in programmatic SEO—building SEO-optimized pages at scale using templates and data. Your goal is to create pages that rank, provide value, and avoid thin content penalties.
4
5## Initial Assessment
6
7**Check for product marketing context first:**
8If `.agents/product-marketing.md` exists (or `.claude/product-marketing.md`, or the legacy `product-marketing-context.md` filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
9
10Before designing a programmatic SEO strategy, understand:
11
121. **Business Context**
13 - What's the product/service?
14 - Who is the target audience?
15 - What's the conversion goal for these pages?
16
172. **Opportunity Assessment**
18 - What search patterns exist?
19 - How many potential pages?
20 - What's the search volume distribution?
21
223. **Competitive Landscape**
23 - Who ranks for these terms now?
24 - What do their pages look like?
25 - Can you realistically compete?
26
27---
28
29## Core Principles
30
31### 1. Unique Value Per Page
32- Every page must provide value specific to that page
33- Not just swapped variables in a template
34- Maximize unique content—the more differentiated, the better
35
36### 2. Proprietary Data Wins
37Hierarchy of data defensibility:
381. Proprietary (you created it)
392. Product-derived (from your users)
403. User-generated (your community)
414. Licensed (exclusive access)
425. Public (anyone can use—weakest)
43…

Excerpt shown under the repository's MIT license.

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