seo-audit

agricidaniel/claude-seo · updated Apr 8, 2026

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$npx skills add https://github.com/agricidaniel/claude-seo --skill seo-audit
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summary

If DataForSEO MCP tools are available, spawn the seo-dataforseo agent alongside existing subagents to enrich the audit with live data: real SERP positions, backlink profiles with spam scores, on-page analysis (Lighthouse), business listings, and AI visibility checks (ChatGPT scraper, LLM mentions).

skill.md

Full Website SEO Audit

Process

  1. Fetch homepage: use scripts/fetch_page.py to retrieve HTML
  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 python scripts/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 python scripts/backlinks_auth.py --check, or always include Common Crawl domain-level metrics)
  5. Score -- aggregate into SEO Health Score (0-100)
  6. Report -- generate prioritized action plan

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

  • FULL-AUDIT-REPORT.md: Comprehensive findings
  • ACTION-PLAN.md: Prioritized recommendations (Critical > High > Medium > Low)
  • screenshots/: Desktop + mobile captures (if Playwright available)
  • PDF Report (recommended): Generate a professional A4 PDF using scripts/google_report.py --type full. 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.

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-Page SEO

  • Title tag issues
  • Meta description problems
  • Heading structure
  • Internal linking gaps

Schema & Structured Data

  • Current implementation
  • Validation errors
  • Missing opportunities

Performance

  • LCP, INP, CLS scores
  • Resource optimization needs
  • Third-party script impact

Images

  • Missing alt text
  • Oversized images
  • Format recommendations

AI Search Readiness

  • Citability score
  • Structural improvements
  • Authority signals

Priority Definitions

  • Critical: Blocks indexing or causes penalties (fix immediately)
  • High: Significantly impacts rankings (fix within 1 week)
  • Medium: Optimization opportunity (fix within 1 month)
  • Low: Nice to have (backlog)

DataForSEO Integration (Optional)

If DataForSEO MCP tools are available, spawn the seo-dataforseo agent alongside existing subagents to enrich the audit with live data: real SERP positions, backlink profiles with spam scores, on-page analysis (Lighthouse), business listings, and AI visibility checks (ChatGPT scraper, LLM mentions).

Google API Integration (Optional)

If Google API credentials are configured (python scripts/google_auth.py --check), spawn the seo-google agent to enrich the audit with real Google field data: CrUX Core Web Vitals (replaces lab-only estimates), GSC URL indexation status, search performance (clicks, impressions, CTR), and GA4 organic traffic trends. The Performance (CWV) category score benefits most from field data.

Error Handling

Scenario Action
URL unreachable (DNS failure, connection refused) Report the error clearly. Do not guess site content. Suggest the user verify the URL and try again.
robots.txt blocks crawling Report which paths are blocked. Analyze only accessible pages and note the limitation in the report.
Rate limiting (429 responses) Back off and reduce concurrent requests. Report partial results with a note on which sections could not be completed.
Timeout on large sites (500+ pages) Cap the crawl at the timeout limit. Report findings for pages crawled and estimate total site scope.
how to use seo-audit

How to use seo-audit on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add seo-audit
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/agricidaniel/claude-seo --skill seo-audit

The skills CLI fetches seo-audit from GitHub repository agricidaniel/claude-seo and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/seo-audit

Reload or restart Cursor to activate seo-audit. Access the skill through slash commands (e.g., /seo-audit) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.429 reviews
  • Amina Liu· Dec 20, 2024

    seo-audit reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Dhruvi Jain· Dec 16, 2024

    seo-audit has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Kaira Liu· Nov 11, 2024

    Registry listing for seo-audit matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Oshnikdeep· Nov 7, 2024

    Solid pick for teams standardizing on skills: seo-audit is focused, and the summary matches what you get after install.

  • Li Bhatia· Nov 3, 2024

    Useful defaults in seo-audit — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Ganesh Mohane· Oct 26, 2024

    We added seo-audit from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Kiara Verma· Oct 2, 2024

    seo-audit fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Kaira Perez· Sep 9, 2024

    We added seo-audit from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Ishan Sanchez· Sep 5, 2024

    Solid pick for teams standardizing on skills: seo-audit is focused, and the summary matches what you get after install.

  • Kiara Dixit· Aug 28, 2024

    Solid pick for teams standardizing on skills: seo-audit is focused, and the summary matches what you get after install.

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