/seo-audit
Full 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.
$ npx -y skills add AgriciDaniel/claude-seo --skill seo-audit --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/seo-audit
Context preview
The summary Claude sees to decide when to auto-load this skill.
Full 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
seo-audit.SKILL.mdname: seo-audit
description: "Full 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."
user-invocable: true
argument-hint: "[url]"
license: MIT
metadata:
author: AgriciDaniel
version: "2.2.4"
category: seo
Full Website SEO Audit
Process
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 2. **Detect business type**: analyze homepage signals per seo orchestrator 3. **Crawl site**: follow internal links up to 500 pages, respect robots.txt 4. **Delegate to subagents** (if available, otherwise run inline sequentially):
- `seo-technical` -- robots.txt, sitemaps, canonicals, Core Web Vitals, security headers
- `seo-content` -- E-E-A-T, readability, thin content, AI citation readiness
- `seo-schema` -- detection, validation, generation recommendations
- `seo-sitemap` -- structure analysis, quality gates, missing pages
- `seo-performance` -- LCP, INP, CLS measurements
- `seo-visual` -- screenshots, mobile testing, above-fold analysis
- `seo-geo` -- AI crawler access, llms.txt, citability, brand mention signals
- `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)
- `seo-maps` -- Geo-grid rank tracking, GBP audit, review intelligence, competitor radius mapping (spawn when Local Service detected AND DataForSEO MCP available)
- `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`)
- `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)
- `seo-cluster` -- Semantic clustering analysis (spawn when content strategy signals detected: blog, pillar pages, topic clusters)
- `seo-sxo` -- Search experience analysis: page-type mismatch, user stories, persona scoring (always include in full audits)
- `seo-drift` -- Drift analysis: compare against stored baseline (spawn when drift baseline exists for the URL via `claude-seo run drift_history.py <url>`)
- `seo-ecommerce` -- Product schema, marketplace intelligence (spawn when E-commerce industry detected)
5. **Score** -- aggregate into SEO Health Score (0-100) 6. **Persist audit artifacts** -- write all outputs under `{domain}-audit/` 7. **Report** -- generate prioritized action plan and optional PDF/HTML report
Crawl Configuration
Max pages: 500
Respect robots.txt: Yes
Follow redirects: Yes (max 3 hops)
Timeout per page: 30 seconds
Concurrent requests: 5
Delay between requests: 1 second
Output Files
- `{domain}-audit/FULL-AUDIT-REPORT.md`: Comprehensive findings
- `{domain}-audit/ACTION-PLAN.md`: Prioritized recommendations (Critical > High > Medium > Low)
- `{domain}-audit/audit-data.json`: Structured audit envelope for report generation
- `{domain}-audit/findings/*.md`: Per-category specialist findings (`technical.md`, `content.md`, `schema.md`, `performance.md`, `visual.md`, etc.)
- `{domain}-audit/screenshots/`: Desktop + mobile captures (if Playwright available)
- **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.
Structured Audit Data Envelope
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:
{
"summary": {
"health_score": 0,
"business_type": "detected type",
"top_findings": [],
"quick_wins": []
},
"categories": [
{
"name": "Technical SEO",
"score": 0,
"what_works": [],
"findings": [
{
"title": "Finding title",
"severity": "Critical|High|Medium|Low|Info",
"description": "Evidence-backed detail",
"recommendation": "Specific fix"
}
]
}
],
"action_plan": {
"phases": [
{"name": "Phase 1: Critical Fixes", "timeframe": "Week 1", "items": []},
{"name": "Phase 2: High-Impact Improvements", "timeframe": "Weeks 2-3", "items": []},
{"name": "Phase 3: Content & Authority", "timeframe": "Month 2", "items": []},
{"name": "Phase 4: Monitoring & Iteration", "timeframe": "Ongoing", "items": []}
]
},
"artifacts": {
"findings_dir": "findings/",
"screenshots_dir": "screenshots/"
}
}Scoring Weights
| Category | Weight | |----------|--------| | Technical SEO | 22% | | Content Quality | 23% | | On-Page SEO | 20% | | Schema / Structured Data | 10% | | Performance (CWV) | 10% | | AI Search Readiness | 10% | | Images | 5% |
Report Structure
Executive Summary
- Overall SEO Health Score (0-100)
- Business type detected
- Top 5 critical issues
- Top 5 quick wins
Technical SEO
- Crawlability issues
- Indexability problems
- Security concerns
- Core Web Vitals status
Content Quality
- E-E-A-T assessment
- Thin content pages
- Duplicate content issues
- Readability scores
On-Pa
Read more
name: seo-audit description: "Full 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." user-invocable: true argument-hint: "[url]" license: MIT metadata: author: AgriciDaniel version: "2.2.4" category: seo
Full Website SEO Audit
Process
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 2. **Detect business type**: analyze homepage signals per seo orchestrator 3. **Crawl site**: follow internal links up to 500 pages, respect robots.txt 4. **Delegate to subagents** (if available, otherwise run inline sequentially):
- `seo-technical` -- robots.txt, sitemaps, canonicals, Core Web Vitals, security headers
- `seo-content` -- E-E-A-T, readability, thin content, AI citation readiness
- `seo-schema` -- detection, validation, generation recommendations
- `seo-sitemap` -- structure analysis, quality gates, missing pages
- `seo-performance` -- LCP, INP, CLS measurements
- `seo-visual` -- screenshots, mobile testing, above-fold analysis
- `seo-geo` -- AI crawler access, llms.txt, citability, brand mention signals
- `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)
- `seo-maps` -- Geo-grid rank tracking, GBP audit, review intelligence, competitor radius mapping (spawn when Local Service detected AND DataForSEO MCP available)
- `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`)
- `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)
- `seo-cluster` -- Semantic clustering analysis (spawn when content strategy signals detected: blog, pillar pages, topic clusters)
- `seo-sxo` -- Search experience analysis: page-type mismatch, user stories, persona scoring (always include in full audits)
- `seo-drift` -- Drift analysis: compare against stored baseline (spawn when drift baseline exists for the URL via `claude-seo run drift_history.py <url>`)
- `seo-ecommerce` -- Product schema, marketplace intelligence (spawn when E-commerce industry detected)
5. **Score** -- aggregate into SEO Health Score (0-100) 6. **Persist audit artifacts** -- write all outputs under `{domain}-audit/` 7. **Report** -- generate prioritized action plan and optional PDF/HTML report
Crawl Configuration
Max pages: 500 Respect robots.txt: Yes Follow redirects: Yes (max 3 hops) Timeout per page: 30 seconds Concurrent requests: 5 Delay between requests: 1 second
Output Files
- `{domain}-audit/FULL-AUDIT-REPORT.md`: Comprehensive findings
- `{domain}-audit/ACTION-PLAN.md`: Prioritized recommendations (Critical > High > Medium > Low)
- `{domain}-audit/audit-data.json`: Structured audit envelope for report generation
- `{domain}-audit/findings/*.md`: Per-category specialist findings (`technical.md`, `content.md`, `schema.md`, `performance.md`, `visual.md`, etc.)
- `{domain}-audit/screenshots/`: Desktop + mobile captures (if Playwright available)
- **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.
Structured Audit Data Envelope
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:
{
"summary": {
"health_score": 0,
"business_type": "detected type",
"top_findings": [],
"quick_wins": []
},
"categories": [
{
"name": "Technical SEO",
"score": 0,
"what_works": [],
"findings": [
{
"title": "Finding title",
"severity": "Critical|High|Medium|Low|Info",
"description": "Evidence-backed detail",
"recommendation": "Specific fix"
}
]
}
],
"action_plan": {
"phases": [
{"name": "Phase 1: Critical Fixes", "timeframe": "Week 1", "items": []},
{"name": "Phase 2: High-Impact Improvements", "timeframe": "Weeks 2-3", "items": []},
{"name": "Phase 3: Content & Authority", "timeframe": "Month 2", "items": []},
{"name": "Phase 4: Monitoring & Iteration", "timeframe": "Ongoing", "items": []}
]
},
"artifacts": {
"findings_dir": "findings/",
"screenshots_dir": "screenshots/"
}
}Scoring Weights
| Category | Weight | |----------|--------| | Technical SEO | 22% | | Content Quality | 23% | | On-Page SEO | 20% | | Schema / Structured Data | 10% | | Performance (CWV) | 10% | | AI Search Readiness | 10% | | Images | 5% |
Report Structure
Executive Summary
- Overall SEO Health Score (0-100)
- Business type detected
- Top 5 critical issues
- Top 5 quick wins
Technical SEO
- Crawlability issues
- Indexability problems
- Security concerns
- Core Web Vitals status
Content Quality
- E-E-A-T assessment
- Thin content pages
- Duplicate content issues
- Readability scores
On-Pa
Claude SEO is an open-source SEO analysis plugin for Claude Code. It runs 25 sub-skills and 18 specialist agents in parallel across technical SEO, content quality (E-E-A-T), Schema.org markup, AI search optimization (GEO), local SEO, e-commerce, and
Repo: AgriciDaniel/claude-seo
Other skills on claude-seo.
- /seo-ahrefs
Ahrefs API analyst (extension). Reads referring domains, backlinks, organic keywords, and content explorer data via the tested @ahrefs/mcp@0.0.11 server. Pairs with seo-backlinks for multi-source confidence weighting.
Open skill - /seo-image-gen
AI image generation for SEO assets: OG/social preview images, blog hero images, schema images, product photography, infographics. Powered by Gemini via nanobanana-mcp. Requires banana extension installed. Use when user says \"generate image\", \"OG image\", \"social preview\",
Open skill - /seo-bing
Bing Webmaster Tools + IndexNow extension. Microsoft Copilot citations are fed by the Bing index; this skill makes Bing visibility, link data, and IndexNow URL submission first-class.
Open skill - /seo-dataforseo
Live SEO data via DataForSEO MCP server: SERP analysis, keyword research (volume, difficulty, intent, trends), backlink profiles, on-page analysis, competitor and content analysis, business listings, AI visibility (LLM mention tracking), and domain analytics. Requires DataForSEO
Open skill - /seo-firecrawl
Full-site crawling, scraping, and site mapping via Firecrawl MCP. Use when user says "crawl site", "map site", "full crawl", "find all pages", "broken links", "site structure", "discover pages", "JS rendering", or needs site-wide analysis.
Open skill - /seo-profound
Profound LLM citation tracker (extension). Time-series brand citation rates across ChatGPT, Perplexity, and other LLMs. Pairs with seo-seranking for triangulated AI visibility coverage.
Open skill

