Agent skill · Code Review & Quality

site-content-catalog

Crawl a website's sitemap and blog index to build a complete content inventory. Lists every page with URL, title, publish date, content type, and topic cluster. Groups content by category and topic. Optionally deep-reads top N pages for quality analysis and funnel stage tagging. Use before SEO audits, content gap analysis, or brand voice extraction.

gooseworks-aigithub.com/gooseworks-aiGitHub ↗
claude-codecodexcursorships scriptsMIT
Install
npx skills add gooseworks-ai/goose-skills --skill site-content-catalog --agent claude-code

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

Facts
Files in the skill folder: 3
SKILL.md size: 7 KB
Bundled scripts: yes
Path: skills/seo/capabilities/site-content-catalog/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

# Site Content Catalog Crawl a website's sitemap and blog to build a complete content inventory — every page cataloged with URL, title, date, content type, and topic cluster. Groups content by category, identifies publishing patterns, and optionally deep-analyzes top pages. ## Quick Start ```bash # Basic content inventory python3 scripts/catalog_content.py --domain "example.com" # With deep analysis of top 20 pages python3 scripts/catalog_content.py --domain "example.com" --deep-analyze 20 # Output to specific file python3 scripts/catalog_content.py --domain "example.com" --output content-inventory.json ``` ## Inputs | Parameter | Required | Default | Description | |-----------|----------|---------|-------------| | domain | Yes | — | Domain to catalog (e.g., "example.com") | | deep-analyze | No | 0 | Number of top pages to deep-read for content analysis | | output | No | stdout | Path to save JSON output | | include-non-blog | No | true | Also catalog landing pages, docs, etc. (not just blog) | ## Cost - **Sitemap/RSS crawling:** Free (direct HTTP requests) - **Apify sitemap extractor (fallback):** ~$0.50 per site - **Deep analysis:** Free (WebFetch on individual pages) ## Process

What's inside
Steps it walks through
  1. Quick Start
  2. Inputs
  3. Cost
  4. Process
  5. Phase 1: Discover All Pages
  6. Phase 2: Classify Each Page
  7. Phase 3: Analyze Publishing Patterns
  8. Phase 4: Deep Analysis (Optional)
  9. Phase 5: Output
  10. Tips
  11. Dependencies
Ships with 2 files
  • scripts/catalog_content.py
  • skill.meta.json
Commands it runs
Basic content inventory
python3 scripts/catalog_content.py --domain "example.com"
With deep analysis of top 20 pages
python3 scripts/catalog_content.py --domain "example.com" --deep-analyze 20
Output to specific file
python3 scripts/catalog_content.py --domain "example.com" --output content-inventory.json
More from goose-skills
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About this skill
What does the site-content-catalog skill do?

Crawl a website's sitemap and blog index to build a complete content inventory. Lists every page with URL, title, publish date, content type, and topic cluster. Groups content by category and topic. Optionally deep-reads top N pages for quality analysis and funnel stage tagging. Use before SEO audits, content gap analysis, or brand voice extraction.

How do I install it?

Run `npx skills add gooseworks-ai/goose-skills --skill site-content-catalog --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.

Keep going