90cef3b3ac
- 7 phases: discovery → meta tags → content quality → keywords → links → sitemap → report - Integrates 8 marketing-skill scripts: seo_checker, content_scorer, humanizer_scorer, headline_scorer, seo_optimizer, sitemap_analyzer, schema_validator, topic_cluster_mapper - References 6 SEO knowledge bases for audit framework, AI search, content optimization, URL design, internal linking, AI detection - Auto-fixes: generic titles, missing descriptions, broken links, orphan pages - Preserves high-ranking pages — only fixes critical issues on those - Registered in both commands/ (distributable) and .claude/commands/ (local) Also: sync all doc counts — 28 plugins, 26 eng-core skills, 21 commands Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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description
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| Scan and optimize docs for SEO — meta tags, readability, keywords, broken links, sitemap. |
Run the SEO auditor on documentation files. Target path: $ARGUMENTS (default: all docs/ and root README.md).
If $ARGUMENTS is --report-only, scan without making changes.
Execute all 7 phases. Auto-fix non-destructive issues. Never change URLs. Preserve content on high-ranking pages.
Phase 1: Discovery
Find all target markdown files:
docs/**/*.md— all documentation pagesREADME.mdfiles in domain root directories- If
$ARGUMENTSspecifies a path, scope to that path only
For each file, extract current state: title: frontmatter, description: frontmatter, H1, H2s, word count, link count. Store as baseline for the report.
Identify recently changed files: git log --oneline -2 --name-only -- docs/ README.md
Phase 2: Meta Tags
For each file with YAML frontmatter:
Title (title: field):
- Must be 50-60 characters
- Must contain a primary keyword
- Must be unique across all pages
- Auto-fix generic titles using domain context
Description (description: field):
- Must be 120-160 characters
- Must contain primary keyword
- Must be unique — no duplicates
- Auto-fix from SKILL.md frontmatter or first paragraph
Run SEO checker on built HTML pages:
python3 marketing-skill/seo-audit/scripts/seo_checker.py --file site/{path}/index.html
Phase 3: Content Quality
Heading structure: One H1 per page, no skipped levels, keywords in headings.
Readability: Run content scorer:
python3 marketing-skill/content-production/scripts/content_scorer.py {file}
Target: readability ≥ 70, structure ≥ 60.
AI detection (on non-generated files only):
python3 marketing-skill/content-humanizer/scripts/humanizer_scorer.py {file}
Flag pages < 50. Fix AI clichés: "delve", "leverage", "it's important to note", "comprehensive".
Do NOT rewrite pages ranking well — only fix critical issues on those.
Phase 4: Keywords
Check each page has its primary keyword in: title, description, H1, first paragraph, at least one H2.
Keyword density: 1-2% for primary. Flag and reduce if > 3%.
Never change existing URLs. Only optimize content and meta tags.
Phase 5: Links
Internal links: Verify all [text](url) targets exist. Fix broken links.
Duplicate content:
grep -rh '^description:' docs/**/*.md | sort | uniq -d
Make each duplicate unique.
Orphan pages: Find pages not in mkdocs.yml nav. Add them.
Phase 6: Sitemap
Rebuild the site to regenerate sitemap:
mkdocs build
Analyze the sitemap:
python3 marketing-skill/site-architecture/scripts/sitemap_analyzer.py site/sitemap.xml
Verify all pages appear, no duplicates, no broken URLs.
Phase 7: Report
Present a summary showing: pages scanned, issues found, auto-fixes applied, manual review items, broken links fixed, orphans resolved, sitemap URL count. List preserved pages that were not modified.