When the user wants to create SEO-driven pages at scale using templates and data. Also use when the user mentions "programmatic SEO," "template pages," "pages at scale," "directory pages," "location pages," "[keyword] + [city] pages," "comparison pages," "integration pages," "building many pages for SEO," "pSEO," "generate 100 pages," "data-driven pages," or "templated landing pages." Use this whenever someone wants to create many similar pages targeting different keywords or locations. For audi
SkillScore91Maintained
Automatic
◆Marketing & Content pack
Last verified 10/7/2026
What it changes
Passed 21 of 23 test cases with the skill, and 18 of 23 without it.
Without skill78%
With skill91%
Checks it passed that the model alone missed
Recommends adopting the examples playbook pattern.
Recommends writing a custom, handcrafted press release for executive hiring announcements.
Recommends prioritizing the proprietary user telemetry dataset over the public scraped dataset.
and 3 more in the full report
4 fixed17 passed either way1 still failing1 broke
Pass-rate lift
+13 pp
Tokens
+56%
Agent turns
0%
Response time
-6%
Model gemini-3.6-flashMeasured 10/7/2026v221 of 23 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 4
Prompt
We are building a tech tool directory with 10,000 pages. We have two candidate datasets: Dataset A is scraped from public Wikipedia pages and public GitHub READMEs; Dataset B is internal telemetry tracking actual active user tool usage and feature satisfaction scores across 50,000 active users on our platform. Which dataset should form the primary foundation of our content, and why?
What was checked, without and with the skill
Checked
Without skill
With skill
Recommends prioritizing the proprietary user telemetry dataset over the public scraped dataset.
Missed
Passed
Explains that proprietary data provides unique defensible content that avoids thin content penalties.
Missed
Passed
case-03 · gemini-3.6-flash · 10/7/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md235 lines4 files
Programmatic SEO
You 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.
Initial Assessment
Check for product marketing context first:
If .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.
Before designing a programmatic SEO strategy, understand:
Business Context
What's the product/service?
Who is the target audience?
What's the conversion goal for these pages?
Opportunity Assessment
What search patterns exist?
How many potential pages?
What's the search volume distribution?
Competitive Landscape
Who ranks for these terms now?
What do their pages look like?
Can you realistically compete?
Core Principles
1. Unique Value Per Page
Every page must provide value specific to that page
Not just swapped variables in a template
Maximize unique content—the more differentiated, the better
When the user wants to create SEO pages at scale using templates and data—including AI-assisted, grounded copy for per-URL differentiation (vs rigid mail-merge templates). Also use when the user mentions "programmatic SEO," "programmatic SEO pages," "template pages," "scale content," "location pages," "city pages," "comparison pages at scale," "X vs Y pages," "integration pages," "pages from data," "automated landing pages," or "programmatic landing pages." Uses a playbook matrix aligned to skil