seo-audit
installsforks
How to install seo-audit?
agricidaniel/claude-seo/seo-audit
$npx -y skills add AgriciDaniel/claude-seo --skill seo-auditFull website SEO audit with parallel subagent delegation. Crawls up to 500 pages, detects business type, delegates to up to 15 specialists (8 always + 7 conditional), generates health score. Use when user says audit, full SEO check, analyze my site, or website health check.
SKILL.md
| 1 | # Full Website SEO Audit |
| 2 | |
| 3 | ## Process |
| 4 | |
| 5 | 1. **Render homepage**: use `claude-seo run render_page.py <url> --mode auto --json` to capture raw HTML, rendered HTML, extracted text, SPA status, and accessibility data when needed |
| 6 | 2. **Detect business type**: analyze homepage signals per seo orchestrator |
| 7 | 3. **Crawl site**: follow internal links up to 500 pages, respect robots.txt |
| 8 | 4. **Delegate to subagents** (if available, otherwise run inline sequentially): |
| 9 | - `seo-technical` -- robots.txt, sitemaps, canonicals, Core Web Vitals, security headers |
| 10 | - `seo-content` -- E-E-A-T, readability, thin content, AI citation readiness |
| 11 | - `seo-schema` -- detection, validation, generation recommendations |
| 12 | - `seo-sitemap` -- structure analysis, quality gates, missing pages |
| 13 | - `seo-performance` -- LCP, INP, CLS measurements |
| 14 | - `seo-visual` -- screenshots, mobile testing, above-fold analysis |
| 15 | - `seo-geo` -- AI crawler access, llms.txt, citability, brand mention signals |
| 16 | - `seo-local` -- GBP signals, NAP consistency, reviews, local schema, industry-specific local factors (spawn when Local Service industry detected: brick-and-mortar, SAB, or hybrid business type) |
| 17 | - `seo-maps` -- Geo-grid rank tracking, GBP audit, review intelligence, competitor radius mapping (spawn when Local Service detected AND DataForSEO MCP available) |
| 18 | - `seo-google` -- CWV field data (CrUX), URL indexation (GSC), organic traffic (GA4) (spawn when Google API credentials detected via `claude-seo run google_auth.py --check`) |
| 19 | - `seo-backlinks` -- Backlink profile data: DA/PA, referring domains, anchor text, toxic links (spawn when Moz or Bing API credentials detected via `claude-seo run backlinks_auth.py --check`, or always include Common Crawl domain-level metrics) |
| 20 | - `seo-cluster` -- Semantic clustering analysis (spawn when content strategy signals detected: blog, pillar pages, topic clusters) |
| 21 | - `seo-sxo` -- Search experience analysis: page-type mismatch, user stories, persona scoring (always include in full audits) |
| 22 | - `seo-drift` -- Drift analysis: compare against stored baseline (spawn when drift baseline exists for the URL via `claude-seo run drift_history.py <url>`) |
| 23 | - `seo-ecommerce` -- Product schema, marketplace intelligence (spawn when E-commerce industry detected) |
| 24 | 5. **Score** -- aggregate into SEO Health Score (0-100) |
| 25 | 6. **Persist audit artifacts** -- write all outputs under `{domain}-audit/` |
| 26 | 7. **Report** -- generate prioritized action plan and optional PDF/HTML report |
| 27 | |
| 28 | ## Crawl Configuration |
| 29 | |
| 30 | ``` |
| 31 | Max pages: 500 |
| 32 | Respect robots.txt: Yes |
| 33 | Follow redirects: Yes (max 3 hops) |
| 34 | Timeout per page: 30 seconds |
| 35 | Concurrent requests: 5 |
| 36 | Delay between requests: 1 second |
| 37 | ``` |
| 38 | |
| 39 | ## Output Files |
| 40 | |
| 41 | - `{domain}-audit/FULL-AUDIT-REPORT.md`: Comprehensive findings |
| 42 | - `{domain}-audit/ACTION-PLAN.md`: Prioritized recommendations (Critical > High > Medium > Low) |
| 43 | - `{domain}-audit/audit-data.json`: Structured audit envelope for report generation |
| 44 | - `{domain}-audit/findings/*.md`: Per-category specialist findings (`technical.md`, `content.md`, `schema.md`, `performance.md`, `visual.md`, etc.) |
| 45 | - `{domain}-audit/screenshots/`: Desktop + mobile captures (if Playwright available) |
| 46 | - **PDF Report** (recommended): Generate a professional A4 PDF using `claude-seo run google_report.py --type full --data {domain}-audit/audit-data.json --domain <domain> --output-dir {domain}-audit/`. This produces a white-cover enterprise report with TOC, executive summary, charts (Lighthouse gauges, query bars, index donut), metric cards, threshold tables, prioritized recommendations with effort estimates, and implementation roadmap. Always offer PDF generation after completing an audit. |
| 47 | |
| 48 | ## Structured Audit Data Envelope |
| 49 | |
| 50 | Write `{domain}-audit/audit-data.json` with this shape so `claude-seo run google_report.py --type full --data {domain}-audit/audit-data.json --domain <domain> --output-dir {domain}-audit/` can generate a report even when Google API data is unavailable: |
| 51 | |
| 52 | ```json |
| 53 | { |
| 54 | "summary": { |
| 55 | "health_score": 0, |
| 56 | "business_type": "detected type", |
| 57 | "top_findings": [], |
| 58 | "quick_wins": [] |
| 59 | }, |
| 60 | "categories": [ |
| 61 | { |
| 62 | "name": "Technical SEO", |
| 63 | "score": 0, |
| 64 | "what_works": [], |
| 65 | "findings": [ |
| 66 | { |
| 67 | "title": "Finding title", |
| 68 | "severity": "Critical|High|Medium|Low|Info", |
| 69 | "description": "Evidence-backed detail", |
| 70 | "recommendation": "Specific fix" |
| 71 | } |
| 72 | ] |
| 73 | } |
| 74 | ], |
| 75 | "action_plan": { |
| 76 | "phases": [ |
| 77 | {"name": "Phase 1: Critical Fixes", "timeframe": "Week 1", "items": [] |
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