- name
- agentic-seo-skill
- description
- LLM-first SEO analysis skill with 16 sub-skills, 10 specialist agents, and 89 evidence collection scripts for comprehensive SEO audits
- triggers
- ["analyze this website's SEO","run a full SEO audit","check technical SEO issues","optimize this page for search engines","generate SEO recommendations","validate schema markup","audit Core Web Vitals","create GitHub repository SEO report"]
# Agentic SEO Skill
> Skill by [ara.so](https://ara.so) — AI Agent Skills collection.
The Agentic SEO Skill is an LLM-first SEO analysis framework designed for AI coding assistants and agent IDEs. It provides 16 specialized sub-skills, 10 specialist agents, and 89 Python scripts for evidence-based SEO analysis. The skill follows a reasoning-first workflow: collect evidence, analyze with LLM proof, apply confidence labels, prioritize by impact, and produce actionable plans.
## Installation
### Quick Install (No Cloning Required)
**Linux/macOS:**
```bash
# Install to all supported IDEs
curl -fsSL https://raw.githubusercontent.com/Bhanunamikaze/Agentic-SEO-Skill/main/install.sh | bash -s -- --online
# Install to Claude Code only
curl -fsSL https://raw.githubusercontent.com/Bhanunamikaze/Agentic-SEO-Skill/main/install.sh | bash -s -- --online --target claude
# Install to specific project
curl -fsSL https://raw.githubusercontent.com/Bhanunamikaze/Agentic-SEO-Skill/main/install.sh | bash -s -- --online --target all --project-dir /path/to/project
```
**Windows (PowerShell 7+):**
```powershell
irm https://raw.githubusercontent.com/Bhanunamikaze/Agentic-SEO-Skill/main/install.ps1 -OutFile install.ps1
powershell -ExecutionPolicy Bypass -File .\install.ps1 --online
```
### From Source
```bash
git clone https://github.com/Bhanunamikaze/Agentic-SEO-Skill.git
cd Agentic-SEO-Skill
# Install to Claude Code with dependencies
bash install.sh --target claude --install-deps
# Install with Playwright for visual analysis
bash install.sh --target claude --install-deps --install-playwright
```
### Installation Targets
| Target | Location | Format |
|--------|----------|--------|
| `claude` | `~/.claude/skills/seo` | Skill directory |
| `codex` | `~/.codex/skills/seo` | Skill directory |
| `cursor` | `<project>/.cursor/rules/seo.mdc` | MDC rule |
| `windsurf` | `<project>/.windsurf/rules/seo.md` | Windsurf rule |
| `copilot` | `<project>/.github/copilot-instructions.md` | Repo instructions |
| `cline` | `<project>/.clinerules` | Project rules |
| `continue` | `<project>/.continue/prompts/seo.prompt` | Slash command |
| `antigravity` | `<project>/.agent/skills/seo` | Skill directory |
## Core Workflow
The skill follows an LLM-first analysis pattern:
1. **Collect Evidence** — Use `read_url_content` MCP tool or evidence collection scripts
2. **Analyze with LLM** — Apply explicit proof and reasoning for each finding
3. **Label Confidence** — Mark findings as `Confirmed`, `Likely`, or `Hypothesis`
4. **Prioritize** — Rank by impact and implementation effort
5. **Generate Action Plan** — Produce structured, evidence-backed recommendations
All audits must follow the `resources/references/llm-audit-rubric.md` standard.
## 16 Specialized Sub-Skills
### 1. SEO Audit (Full Site)
Run comprehensive site-wide audits with evidence-backed scoring:
```python
# Quick full audit with all outputs
python3 scripts/audit_runner.py https://example.com
# Outputs:
# - audit_results.json
# - audit_report.html
# - FULL-AUDIT-REPORT.md
# - ACTION-PLAN.md
```
**Agent prompt:**
```
Use the seo audit sub-skill to analyze https://example.com — follow the LLM audit rubric, collect evidence first with read_url_content, then reason through technical, content, and performance issues.
```
### 2. SEO Page (Single Page Analysis)
Deep analysis of individual pages:
```python
# Fetch page content
python3 scripts/fetch_page.py https://example.com/page
# Parse HTML for SEO signals
python3 scripts/parse_html.py example_com_page.html
# Check Core Web Vitals
python3 scripts/pagespeed.py https://example.com/page
```
**Agent prompt:**
```
Analyze this single page for SEO: https://example.com/about — check title, meta description, headings hierarchy, internal links, schema markup, and Core Web Vitals.
```
### 3. SEO Technical
Crawlability, indexability, security, mobile-friendliness, and AI crawler policies:
```python
# Check robots.txt policies
python3 scripts/robots_checker.py https://example.com
# Run indexability matrix (robots, meta robots, canonicals, status codes)
python3 scripts/indexability_matrix.py https://example.com
# Multi-page crawl audit
python3 scripts/crawl_audit.py https://example.com --max-depth 3
```
**Agent prompt:**
```
Run a technical SEO audit on https://example.com — check robots.txt, XML sitemaps, HTTPS, mobile responsiveness, JS rendering, and AI crawler access (GPTBot, ClaudeBot).
```
### 4. SEO Content
Content quality assessment with E-E-A-T framework (September 2025 Quality Rater Guidelines):
```python
# Extract article content
python3 scripts/fetch_page.py https://example.com/article
# Run content quality checks (agent analyzes with LLM)
# Check: word count, readability, E-E-A-T signals, topical depth
```
**Agent prompt:**
```
Assess content quality for https://example.com/blog/post using E-E-A-T criteria — check expertise signals, author credentials, content depth, readability, and December 2025 core update alignment.
```
### 5. SEO Schema
Schema.org detection, validation, and JSON-LD generation:
```python
# Validate existing schema markup
python3 scripts/validate_schema.py example_com.html
# Check for deprecated schema types
python3 scripts/parse_html.py example_com.html --extract-schema
```
**Agent prompt:**
```
Validate schema markup on https://example.com — check JSON-LD syntax, required fields, deprecated types, and suggest appropriate schema.org types (Article, Product, LocalBusiness, etc.).
```
**Example JSON-LD generation:**
```python
# Agent generates schema based on page content
schema = {
"@context": "https://schema.org",
"@type": "Article",
"headline": "Page Title",
"author": {
"@type": "Person",
"name": "Author Name"
},
"datePublished": "2026-01-15",
"dateModified": "2026-05-27",
"image": "https://example.com/image.jpg",
"publisher": {
"@type": "Organization",
"name": "Publisher Name",
"logo": {
"@type": "ImageObject",
"url": "https://example.com/logo.png"
}
}
}
```
### 6. SEO Sitemap
XML sitemap validation and generation:
```python
# Discover and validate sitemaps
python3 scripts/sitemap_checker.py https://example.com
# Check for issues: 404s, lastmod quality, URL limits (50,000 per file)
```
**Agent prompt:**
```
Audit XML sitemaps for https://example.com — check discovery (robots.txt reference), URL limits, 404s, lastmod accuracy, and sitemap index structure.
```
### 7. SEO Images
Image optimization audit (alt text, formats, lazy loading, CLS):
```python
# Generate image inventory
python3 scripts/image_inventory.py https://example.com
# Outputs: alt text coverage, dimensions, loading behavior, LCP candidates
```
**Agent prompt:**
```
Analyze image SEO for https://example.com — check alt text, file formats (WebP), lazy loading, responsive images (srcset), and LCP image optimization.
```
### 8. SEO GEO (Generative Engine Optimization)
Optimize for AI Overviews, ChatGPT, Perplexity:
**Agent prompt:**
```
Optimize this content for AI search engines (ChatGPT, Perplexity, Google AI Overviews) — add clear definitions, structured facts, citations, and FAQ sections.
```
**Pattern:**
- Use concise definitions (20-30 words)
- Add structured lists and tables
- Include citations and sources
- Create FAQ sections for common queries
### 9. SEO AEO (Answer Engine Optimization)
Optimize for Featured Snippets, People Also Ask, Knowledge Panels:
**Agent prompt:**
```
Optimize for Featured Snippets — structure content with clear question headers, concise answers (40-60 words), and bulleted/numbered lists.
```
**Pattern:**
```markdown
## What is [Topic]?
[Topic] is [concise 40-60 word definition].
### Key Benefits:
1. Benefit one
2. Benefit two
3. Benefit three
```
### 10. SEO Links
Link profile analysis — internal links, backlinks, anchor text, orphan pages:
```python
# Extract all links from page
python3 scripts/parse_html.py example_com.html --extract-links
# Agent analyzes: internal link structure, anchor text distribution, orphan pages
```
**Agent prompt:**
```
Audit internal linking structure for https://example.com — identify orphan pages, check anchor text diversity, analyze link depth, and suggest hub pages.
```
### 11. SEO Programmatic
Quality gates for programmatic SEO pages:
**Agent prompt:**
```
Review programmatic SEO pages for quality — check for thin content, duplicate patterns, template issues, and unique value signals on each page.
```
**Quality gates:**
- Minimum 800 words unique content per page
- No placeholder text (e.g., "[City]", "Lorem ipsum")
- Unique titles and meta descriptions
- 3+ internal links to related pages
### 12. SEO Competitors
Comparison and alternatives page generation:
**Agent prompt:**
```
Generate a "Competitors" or "Alternatives" comparison page for [Product] — include feature tables, pricing comparison, use case fit, and neutral tone.
```
### 13. SEO Hreflang
International SEO and hreflang validation:
```python
# Parse hreflang tags
python3 scripts/parse_html.py example_com.html --extract-hreflang
```
**Agent prompt:**
```
Validate hreflang implementation for multi-language site — check bidirectional links, correct language codes (ISO 639-1), regional variants (en-US, en-GB), and x-default fallback.
```
### 14. SEO Plan
Strategic SEO planning with topical clusters and industry templates:
**Agent prompt:**
```
Create an SEO content strategy for a SaaS product — build topical clusters, identify pillar pages, keyword themes, and internal linking structure.
```
**Industry templates available:**
- SaaS
- E-commerce
- Local Business
- Publisher/Media
- Agency
- Generic
### 15. SEO GitHub
GitHub repository SEO optimization:
```python
# Generate GitHub SEO report
python3 scripts/github_seo_report.py owner/repo
# Outputs:
# - GITHUB-SEO-REPORT.md
# - GITHUB-ACTION-PLAN.md
```
**Agent prompt:**
```
Optimize GitHub repository SEO for [owner/repo] — improve description, add topics, enhance README structure, optimize title/headline, and benchmark against query results.
```
**Key checks:**
- Repository description (160 chars, keyword-rich)
- Topics (8-12 relevant tags)
- README structure (clear headline, features, installation)
- Social preview image
- Community health files (CODE_OF_CONDUCT.md, CONTRIBUTING.md)
### 16. SEO Article
Article data extraction and LLM-driven content optimization:
**Agent prompt:**
```
Extract article content and optimize — check headline, readability, keyword density, internal links, meta description, and suggest improvements.
```
## 10 Specialist Agents
The skill includes specialized agents for domain-specific analysis:
1. **Technical SEO Agent** — Crawlability, indexability, security, mobile, JS rendering
2. **Content Quality Agent** — E-E-A-T scoring, AI content detection
3. **Performance Agent** — Core Web Vitals (LCP, INP, CLS)
4. **Schema Markup Agent** — JSON-LD validation and generation
5. **Sitemap Agent** — XML sitemap quality gates
6. **Visual Analysis Agent** — Screenshots, above-the-fold analysis (requires Playwright)
7. **GitHub Analyst Agent** — Repository metadata and README optimization
8. **GitHub Benchmark Agent** — Query ranking and competitor intelligence
9. **GitHub Data Agent** — API fallback and traffic archival
10. **Verifier Agent (Global)** — Deduplication and contradiction suppression
## Key Scripts Reference
### Evidence Collection
```python
# Fetch page with SEO crawler headers
python3 scripts/fetch_page.py https://example.com
# Output: example_com.html
# Parse HTML for all SEO signals
python3 scripts/parse_html.py example_com.html
# Extracts: title, meta, headings, links, images, schema, canonical
# Check robots.txt and crawler policies
python3 scripts/robots_checker.py https://example.com
# Multi-page crawl
python3 scripts/crawl_audit.py https://example.com --max-depth 2 --max-pages 50
```
### Performance & Core Web Vitals
```python
# PageSpeed Insights + Core Web Vitals
python3 scripts/pagespeed.py https://example.com
# Returns: LCP, INP, CLS scores + recommendations
# Note: Requires PAGESPEED_API_KEY environment variable
# Get free key: https://developers.google.com/speed/docs/insights/v5/get-started
```
### Indexability & Crawlability
```python
# Comprehensive indexability matrix
python3 scripts/indexability_matrix.py https://example.com
# Checks: robots.txt, meta robots, X-Robots-Tag, canonical, status codes, sitemaps
# Sitemap validation
python3 scripts/sitemap_checker.py https://example.com
# Validates: URL limits, 404s, lastmod, discovery
```
### Schema Validation
```python
# Validate JSON-LD schema
python3 scripts/validate_schema.py page.html
# Checks: syntax, required fields, deprecated types, placeholders
```
### Report Generation
```python
# Full audit with all outputs
Auf GitHub ansehen