Agent skill · Data & Analytics

programmatic-seo-planner

Identify programmatic SEO page patterns worth building for your product — vs/ pages, integrations/, for-{industry}/, alternatives-to/, use-cases/ — and design the template structure, data model, and priority order. Outputs a complete pSEO blueprint with URL patterns, title templates, content frameworks, and data sources per variable.

gooseworks-aigithub.com/gooseworks-aiGitHub ↗
claude-codecodexcursorMIT
Install
npx skills add gooseworks-ai/goose-skills --skill programmatic-seo-planner --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 13 KB
Bundled scripts: none
Path: skills/seo/composites/programmatic-seo-planner/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,091
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Programmatic SEO Page Planner Programmatic SEO is how startups generate hundreds of high-intent pages from templates — "{Your Product} vs {Competitor}", "Best {Category} for {Industry}", "{Integration} + {Your Product}". This skill figures out which patterns are worth building, designs the templates, and prioritizes the buildout. **Core principle:** pSEO isn't about spinning content. It's about finding a data axis (something that varies per page) where each variation has real search demand and your product has a genuine answer. This skill validates both before you invest in building. ## When to Use - "How do we scale SEO pages without writing each one manually?" - "Should we build vs/ comparison pages?" - "What programmatic SEO patterns work for SaaS?" - "How can we rank for hundreds of long-tail keywords?" - "Plan our pSEO strategy" ## Tool Enhancement (Optional) This skill works with existing capabilities but produces significantly better results when paired with a keyword data API for bulk volume lookups across hundreds of long-tail variations. ### Agent Prompt to User > "I can plan your programmatic SEO strategy using our existing tools. However, for the best results — especi

What's inside
Steps it walks through
  1. When to Use
  2. Tool Enhancement (Optional)
  3. Agent Prompt to User
  4. Mode Selection
  5. Phase 0: Intake
  6. Phase 1: Pattern Discovery
  7. 1A: Competitor pSEO Analysis
  8. 1B: Market Pattern Mapping
  9. 1C: Customer Language Mining
  10. 1D: Keyword Volume Validation
  11. Phase 2: Pattern Evaluation
  12. Feasibility Check Per Pattern
  13. Phase 3: Template Design
  14. Template Blueprint
Ships with 1 file
  • skill.meta.json
Commands it runs
python3 skills/site-content-catalog/scripts/catalog_content.py \
python3 skills/reddit-post-finder/scripts/search_reddit.py \
More from goose-skills
All skills →
About this skill
What does the programmatic-seo-planner skill do?

Identify programmatic SEO page patterns worth building for your product — vs/ pages, integrations/, for-{industry}/, alternatives-to/, use-cases/ — and design the template structure, data model, and priority order. Outputs a complete pSEO blueprint with URL patterns, title templates, content frameworks, and data sources per variable.

How do I install it?

Run `npx skills add gooseworks-ai/goose-skills --skill programmatic-seo-planner --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From gooseworks-ai/goose-skills, a repository with 1,091 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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