Agent skill · Code Review & Quality

programmatic-seo-spy

Reverse-engineer how competitors do programmatic SEO. Detects URL pattern clusters (vs/, integrations/, for-{industry}/), estimates page count per pattern, analyzes template quality, infers which patterns actually drive traffic, and identifies gaps you can exploit. Outputs a competitive pSEO landscape report.

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

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

Facts
Files in the skill folder: 2
SKILL.md size: 11 KB
Bundled scripts: none
Path: skills/seo/composites/programmatic-seo-spy/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 Competitor Spy Before building your own programmatic SEO pages, know what your competitors are already doing. This skill crawls competitor sitemaps, detects which URL patterns are programmatic, estimates which ones actually drive traffic, assesses template quality, and finds the gaps they're missing. **Core principle:** The best pSEO strategy starts with competitive intelligence. If 3 competitors have /vs/ pages and none have /for-{industry}/ pages, that's a signal. This skill turns competitor site structures into strategic intelligence. ## When to Use - "What programmatic SEO are competitors doing?" - "Reverse-engineer competitor SEO pages" - "Which pSEO patterns actually work in our space?" - "Find pSEO gaps our competitors are missing" - "Analyze competitor URL structure for SEO patterns" ## Tool Enhancement (Optional) This skill works with existing capabilities but is dramatically better with domain analytics data that shows actual traffic per URL pattern. ### Agent Prompt to User > "I can analyze competitor site structures with our existing crawling tools. For the most accurate results — especially knowing which patterns actually drive traffic vs. just exist

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: Sitemap Crawl
  7. Phase 2: Pattern Detection
  8. 2A: URL Clustering
  9. 2B: Programmatic vs. Editorial Classification
  10. Phase 3: Traffic & Performance Analysis
  11. Enhanced Mode (DataForSEO / SEMrush / Ahrefs)
  12. Baseline Mode
  13. Phase 4: Template Quality Assessment
  14. Phase 5: Gap Analysis
Ships with 1 file
  • skill.meta.json
Commands it runs
python3 skills/site-content-catalog/scripts/catalog_content.py \
Pick pages from the pattern — one high-variation, one low-variation, one middle
More from goose-skills
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About this skill
What does the programmatic-seo-spy skill do?

Reverse-engineer how competitors do programmatic SEO. Detects URL pattern clusters (vs/, integrations/, for-{industry}/), estimates page count per pattern, analyzes template quality, infers which patterns actually drive traffic, and identifies gaps you can exploit. Outputs a competitive pSEO landscape report.

How do I install it?

Run `npx skills add gooseworks-ai/goose-skills --skill programmatic-seo-spy --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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