
Seo Optimization
- 39 installs
- 36 repo stars
- Updated July 14, 2026
- oimiragieo/agent-studio
Helps with marketing & seo tasks.
About
seo-optimization is a Claude Code skill for marketing & seo. It helps solo builders move faster with AI-assisted development.
- seo-optimization
- Marketing & SEO
- AI-coding skill
Seo Optimization by the numbers
- 39 all-time installs (skills.sh)
- Ranked #1,369 of 1,879 Marketing & SEO skills by installs in the Skillselion catalog
- Data as of Aug 4, 2026 (Skillselion catalog sync)
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| Installs | 39 |
|---|---|
| repo stars | ★ 36 |
| Last updated | July 14, 2026 |
| Repository | oimiragieo/agent-studio ↗ |
What it does
Helps with marketing & seo tasks.
Files
<!-- Agent: developer | Task: #14 | Session: 2026-03-02 -->
SEO Optimization
Comprehensive 7-phase SEO optimization workflow. Audit search visibility, diagnose ranking issues, implement structured data, and produce actionable optimization recommendations for both traditional and AI-driven search.
When to Apply
Use this skill when:
- Conducting a full technical SEO audit
- Diagnosing ranking drops or crawlability issues
- Implementing structured data / schema markup for rich results
- Conducting keyword research and building content strategy
- Optimizing on-page elements (title tags, meta descriptions, headers)
- Building topical authority via content clustering
- Evaluating and improving E-E-A-T signals
- Preparing content for AI Overview (SGE) visibility
- Planning or evaluating a link building strategy
- Optimizing App Store listings alongside web SEO (ASO correlation)
Core Ranking Factors (2025-2026)
| Category | Factor | Weight | Notes |
|---|---|---|---|
| Technical | Core Web Vitals (LCP, INP, CLS) | High | Direct ranking signal since 2021 |
| Technical | Crawlability / indexing | High | robots.txt, sitemaps, canonical tags |
| Technical | HTTPS / security | Medium | Baseline expectation |
| Content | E-E-A-T signals | High | Critical for YMYL and AI Overview |
| Content | Topical authority | High | Hub-and-spoke content clusters |
| Content | Search intent match | High | Informational/navigational/commercial/transactional |
| On-Page | Title tag / H1 / meta | Medium | Title is primary keyword signal |
| Authority | Backlink quality and relevance | High | Domain Rating + topical alignment |
| AI Search | Structured data / schema | High | 57% of SERPs show AI Overviews (2025) |
| AI Search | Content clarity and structure | High | LLMs favor scannable, factual content |
7-Phase SEO Workflow
Phase 1: Technical SEO Audit
Assess crawlability, indexing, and site health before optimizing content.
Crawlability Checklist:
- [ ]
robots.txtdoes NOT block JS/CSS (Googlebot renders pages) - [ ] XML sitemap exists at
/sitemap.xmlwith<lastmod>,<changefreq>,<priority> - [ ] Sitemap submitted to Google Search Console and Bing Webmaster Tools
- [ ] No orphaned pages (all pages reachable via internal links within 3 clicks)
- [ ] Pagination handled with
rel="next"/rel="prev"or via sitemap
Indexing Checklist:
- [ ] Canonical tags (
<link rel="canonical" href="...">) on all pages - [ ] Duplicate content resolved (trailing slash,
wwwvs non-www,httpvshttps) - [ ]
noindexonly on pages that should NOT appear in SERPs (thank-you pages, admin) - [ ] Google Search Console verified and no coverage errors
- [ ] Core Web Vitals reported in Search Console (Page Experience report)
Core Web Vitals Targets:
| Metric | Good | Needs Improvement | Poor |
|---|---|---|---|
| LCP (loading) | ≤ 2.5s | 2.5s–4.0s | > 4.0s |
| INP (interactivity) | ≤ 200ms | 200ms–500ms | > 500ms |
| CLS (visual stability) | ≤ 0.1 | 0.1–0.25 | > 0.25 |
For deep Core Web Vitals optimization, invoke:
Skill({ skill: 'web-perf' });Diagnosis Tools:
# Lighthouse CLI audit
npx lighthouse https://example.com --only-categories=performance,seo --output=json
# Check indexing status
# Search: site:yourdomain.com in Google
# Validate robots.txt
curl https://yourdomain.com/robots.txt
# Check XML sitemap
curl https://yourdomain.com/sitemap.xmlPhase 2: Keyword Research and Strategy
Build a keyword strategy grounded in search intent before optimizing any page.
Search Intent Classification:
| Intent Type | Query Pattern | Content Type |
|---|---|---|
| Informational | "how to", "what is", "guide" | Blog posts, guides, tutorials |
| Navigational | Brand name, product name | Landing pages, product pages |
| Commercial | "best", "vs", "review" | Comparison pages, listicles |
| Transactional | "buy", "price", "discount" | Product/category pages, checkout |
Keyword Research Process:
1. Seed keywords: Start with 3-5 core topics your product/service covers 2. Expand with long-tail: Use tools (Ahrefs, SEMrush, Google Keyword Planner) to find related, lower-competition terms 3. LSI synonyms: For each primary keyword, identify 3-5 Latent Semantic Indexing variants 4. Competitor gap analysis: Find keywords competitors rank for that you don't 5. Group by topic cluster: Group related keywords into hub-and-spoke architecture
Keyword Prioritization Matrix:
| Priority | Search Volume | Keyword Difficulty | Intent Match |
|---|---|---|---|
| P0 | High (1000+/mo) | Low-Medium (<50 KD) | Exact match |
| P1 | Medium (100-999/mo) | Medium (<65 KD) | Strong match |
| P2 | Low (<100/mo) | Any | Long-tail / niche |
Content Cluster Architecture:
Pillar Page: "Complete Guide to [Topic]"
├── Cluster: "[Topic] for Beginners"
├── Cluster: "[Topic] Best Practices"
├── Cluster: "[Topic] vs [Alternative]"
├── Cluster: "How to [Specific Action] with [Topic]"
└── Cluster: "[Topic] Pricing and Plans"Internal links: Every cluster page links to pillar; pillar links to all clusters.
Phase 3: On-Page Optimization
Optimize each page's metadata and content structure for target keywords.
Per-Page Optimization Checklist:
- [ ] Title tag: Primary keyword near front, unique, ≤ 60 characters
- [ ] Meta description: Includes keyword, compelling CTA, 150-160 characters
- [ ] H1 tag: Exactly one per page, matches or contains primary keyword
- [ ] H2/H3 tags: Logical hierarchy, include secondary keywords naturally
- [ ] URL: Short, hyphenated, includes primary keyword, no parameters
- [ ] First 100 words: Primary keyword appears in opening paragraph
- [ ] Image alt text: Descriptive, includes keyword when contextually natural
- [ ] Internal links: 3-5 internal links per page to related content
- [ ] Outbound links: 1-2 links to authoritative external sources (Google, Wikipedia, gov, .edu)
- [ ] Content length: Matches competitive SERP (run
Skill({ skill: 'ripgrep' })to audit)
Title Tag Formula:
Primary Keyword + Secondary Modifier + Brand Name
Example: "SEO Audit Checklist 2025 | YourBrand"
Maximum: 60 characters (avoid truncation in SERPs)Meta Description Formula:
Action verb + Primary keyword + Key benefit + CTA
Example: "Run a complete SEO audit with our 2025 checklist. Fix technical issues, optimize content, and boost rankings. Free template included."
Maximum: 160 charactersPhase 4: Content SEO and E-E-A-T
Build content that demonstrates Experience, Expertise, Authoritativeness, and Trustworthiness.
E-E-A-T Signal Checklist:
- [ ] Author bio pages with credentials, LinkedIn links, publications
- [ ] "About" page with team credentials, company history, contact details
- [ ] Citations to authoritative external sources (studies, government data, official docs)
- [ ] User reviews and testimonials with star ratings
- [ ] Press mentions, awards, certifications listed
- [ ] Privacy Policy and Terms of Service pages
- [ ] Physical address and phone number (especially for local SEO)
- [ ] Last-updated dates on evergreen content
- [ ] Editorial standards / fact-checking process published (for news/medical content)
YMYL Content (Your Money or Your Life) — Highest E-E-A-T Required:
YMYL topics: finance, medical, legal, safety, news. These require:
- Named, credentialed author on every page
- Medical/legal/financial review process documented
- Regular content freshness updates
- Expert citations for all factual claims
Content Quality Framework:
| Dimension | Standard | Check |
|---|---|---|
| Depth | Covers topic comprehensively; answers follow-up questions | Compare to top 5 ranking pages |
| Accuracy | All factual claims sourced or verifiable | Spot-check key claims |
| Freshness | Published/updated date visible; outdated data refreshed | Audit annually |
| Readability | Flesch-Kincaid Grade Level ≤ 9 for general audiences | Run readability tool |
| Structure | Headers, bullets, tables; scannable for 8-second attention span | Visual audit |
| Uniqueness | Original research, data, or synthesis; not paraphrased | Plagiarism check |
AI-Generated Content Policy (2025):
- AI content is acceptable but MUST be reviewed for accuracy, tone, and nuance
- Never publish raw AI output: edit for real examples, expert insights, brand voice
- Disclose AI assistance in editorial process documentation (E-E-A-T signal)
- Use AI to generate outlines and research; add original expert insight manually
Phase 5: Structured Data Implementation
Implement JSON-LD schema markup to enable rich results and AI Overview eligibility.
Priority Schema Types:
| Schema Type | Use Case | Rich Result Benefit |
|---|---|---|
Article | Blog posts, news | Author byline, date in SERP |
Product | E-commerce items | Price, rating, availability stars |
FAQ | Q&A sections | Expandable Q&A in SERP |
LocalBusiness | Physical locations | Map pack, hours, phone in SERP |
BreadcrumbList | Site navigation | Breadcrumb trail in SERP URL |
Organization | Company info | Knowledge panel, logo |
Review/AggregateRating | Reviews | Star rating in SERP |
HowTo | Step-by-step guides | Numbered steps in SERP |
Event | Events/webinars | Event listing in SERP |
JSON-LD Template (Article):
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Article",
"headline": "Your Article Title",
"author": {
"@type": "Person",
"name": "Author Name",
"url": "https://example.com/author/name"
},
"publisher": {
"@type": "Organization",
"name": "Brand Name",
"logo": {
"@type": "ImageObject",
"url": "https://example.com/logo.png"
}
},
"datePublished": "2025-01-01",
"dateModified": "2025-06-01",
"mainEntityOfPage": "https://example.com/article-url",
"image": "https://example.com/article-image.jpg"
}
</script>JSON-LD Template (FAQ):
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [
{
"@type": "Question",
"name": "What is [topic]?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Clear, concise answer under 200 words."
}
}
]
}
</script>Validation Tools:
- Google Rich Results Test:
https://search.google.com/test/rich-results - Schema.org Validator:
https://validator.schema.org/ - Google Search Console > Enhancements > Monitor structured data errors
Implementation Checklist:
- [ ] JSON-LD (not Microdata) used for all structured data
- [ ] Schema type matches actual page content (no misleading markup)
- [ ] Required properties for each schema type included
- [ ] Validated with Google Rich Results Test (0 errors)
- [ ] Monitored in Search Console Enhancements report
Phase 6: Link Building Strategy
Build high-quality backlinks using relevance-first outreach.
Link Quality Framework:
| Metric | Target | Tool |
|---|---|---|
| Domain Rating (DR) | ≥ 40 for most link sources | Ahrefs |
| Topical Relevance | Same or adjacent industry | Manual review |
| Traffic | Linking page receives organic traffic | Ahrefs Site Explorer |
| Link Placement | In-content (not sidebar/footer) | Manual review |
| Dofollow vs Nofollow | Prefer dofollow; nofollow still drives traffic | Chrome SEO extension |
Effective Link Building Tactics (2025):
1. Digital PR: Create data studies, original research, or infographics; pitch to journalists 2. Guest posting: Contribute expert articles to industry publications (DR 40+) 3. Broken link building: Find broken links on authority sites; suggest your content as replacement 4. Resource page outreach: Find "Best Resources for [Topic]" pages; request inclusion 5. Testimonials: Write testimonials for tools/services you use; earn links from their testimonials page 6. HARO/Connectively: Respond to journalist queries to earn media mentions and links 7. Competitor backlink analysis: Identify where competitors earned links; replicate
Anchor Text Diversity (avoid over-optimization):
| Anchor Type | Target % | Example |
|---|---|---|
| Branded | 40-50% | "YourBrand" |
| Generic | 20-25% | "click here", "learn more" |
| Partial match | 15-20% | "SEO tool for agencies" |
| Exact match | 5-10% | "technical SEO audit" |
| Naked URL | 5-10% | "<https://example.com/page>" |
Anti-Patterns to Avoid:
- Link farms, PBNs (Private Blog Networks): Google penalty risk
- Paid links without
rel="sponsored"disclosure: Guidelines violation - Comment spam: Zero value, potential penalty
- Reciprocal link schemes: Devalued by Google algorithms
- Low-DR, irrelevant sites: Dilutes link profile
Phase 7: AI Search Optimization
Optimize for AI Overviews, Google SGE, and LLM citation patterns (AI Overviews appear in 57% of SERPs as of 2025).
AI Overview Eligibility Signals:
- [ ] Clear, direct answers to specific questions (FAQ format favored)
- [ ] Structured content:
<h2>/<h3>headers, numbered lists, bullet points - [ ] FAQ schema markup implemented (Phase 5)
- [ ] Page demonstrates E-E-A-T (Phase 4)
- [ ] Page already ranks in top 10 for target query
- [ ] Content is factually accurate with cited sources
Content Formatting for AI Readability:
# Topic Title (H1)
## What is [Topic]? (H2 — Direct answer format)
[First sentence: direct answer in under 50 words]
[Remaining sentences: expand with context and nuance]
## How to [Do Thing] (H2 — How-to format)
1. Step one: [Action verb + clear instruction]
2. Step two: [Action verb + clear instruction]
3. Step three: [Action verb + clear instruction]
## [Topic] vs [Alternative] (H2 — Comparison format)
[Clear differentiation table]
## Frequently Asked Questions (H2 — FAQ format)
**Q: [Common question?]**
A: [Direct answer under 100 words]Entity Building for AI Visibility:
- Establish brand/person entity on Wikipedia (if notable)
- Maintain consistent Name/Address/Phone (NAP) across the web
- Claim Google Business Profile and other directory listings
- Build brand mentions across news, social, and industry sites
- Cross-link between official brand assets (website, YouTube, social profiles)
Knowledge Panel Optimization:
- Add
OrganizationorPersonschema to homepage - Use
sameAsproperty to link all official profiles:
{
"@type": "Organization",
"name": "YourBrand",
"sameAs": [
"https://twitter.com/yourbrand",
"https://linkedin.com/company/yourbrand",
"https://en.wikipedia.org/wiki/YourBrand"
]
}SEO Audit Report Template
# SEO Audit Report
**Domain:** [target domain]
**Date:** [audit date]
**Auditor:** [agent/team]
## Executive Summary
[2-3 sentences: overall health, critical issues, priority action]
## Technical SEO
### Core Web Vitals
| Metric | Score | Rating | Target |
| ------ | ----- | --------------------------- | ------- |
| LCP | X.Xs | GOOD/NEEDS IMPROVEMENT/POOR | ≤ 2.5s |
| INP | Xms | GOOD/NEEDS IMPROVEMENT/POOR | ≤ 200ms |
| CLS | X.XX | GOOD/NEEDS IMPROVEMENT/POOR | ≤ 0.1 |
### Crawlability / Indexing
- Indexed pages: [N]
- Coverage errors in Search Console: [N]
- sitemap.xml: [PRESENT/MISSING]
- robots.txt issues: [list or NONE]
## Keyword and Content Analysis
- Primary keywords targeted: [list]
- Pages without title tags: [N]
- Duplicate title tags: [N]
- Missing meta descriptions: [N]
- Pages missing H1: [N]
## Structured Data
- Schema types implemented: [list]
- Rich result errors in Search Console: [N]
- Validation status: [PASS/FAIL]
## Link Profile
- Total backlinks: [N]
- Referring domains: [N]
- Average DR of referring domains: [N]
- Toxic/spammy links: [N]
## Findings (Priority Order)
### P0 (Immediate Action Required)
1. [Finding] — [Impact] — [Recommended Fix]
### P1 (Address This Sprint)
1. [Finding] — [Impact] — [Recommended Fix]
### P2 (Address This Quarter)
1. [Finding] — [Impact] — [Recommended Fix]
## Optimization Roadmap
1. [Action with estimated impact and timeline]
2. [Action with estimated impact and timeline]
3. [Action with estimated impact and timeline]Enforcement Hooks
Input validated against schemas/input.schema.json before execution. Output contract defined in schemas/output.schema.json.
See hooks/pre-execute.cjs for pre-execution validation and hooks/post-execute.cjs for observability event emission.
Anti-Patterns
- Do NOT optimize content before completing technical SEO audit — crawl/index issues negate content work
- Do NOT target keywords without analyzing search intent — mismatched intent kills rankings
- Do NOT implement schema markup that misrepresents page content — Google manual action risk
- Do NOT pursue exact-match anchor text aggressively (>10%) — over-optimization penalty risk
- Do NOT use AI-generated content without human review — accuracy and tone issues hurt E-E-A-T
- Do NOT ignore Core Web Vitals on mobile — majority of Google indexing is mobile-first
- Do NOT create individual keyword-stuffed pages — topical clusters outperform thin pages
- Do NOT set
rel="noindex"to solve duplicate content — use canonical tags instead - Do NOT skip FAQ schema on Q&A content — missed AI Overview eligibility
- Do NOT use
disallow: /in robots.txt for pages you want indexed — blocks Googlebot
Iron Laws
1. ALWAYS audit technical SEO (crawlability, indexing, CWV) before content or keyword work — broken technical foundation negates all other effort 2. NEVER target a keyword without first classifying search intent — content that mismatches intent cannot rank regardless of quality 3. ALWAYS validate structured data with Google Rich Results Test before deploying — invalid schema produces no rich result benefit 4. NEVER pursue link building without ensuring on-page fundamentals are in place — links to poorly optimized pages waste link equity 5. ALWAYS use JSON-LD for structured data implementation — Google's recommended format over Microdata or RDFa 6. NEVER publish AI-generated content without human review for accuracy, E-E-A-T signals, and brand voice — raw AI output fails E-E-a-T standards 7. ALWAYS align content to topical clusters rather than isolated keyword pages — Google rewards demonstrated topical authority
References
- Google Search Central — Structured Data
- Google Rich Results Test
- Core Web Vitals — web.dev
- Google Search Console
- Schema.org
- Google Quality Rater Guidelines (E-E-A-T)
- WordStream SEO Ranking Factors 2025
- Backlinko SEO Best Practices
- Research Report:
.claude/context/artifacts/research-reports/seo-optimization-research-2026-03-02.md
Memory Protocol (MANDATORY)
Before starting: Read .claude/context/memory/learnings.md
Check for:
- Previous SEO audits run on this domain
- Known CWV issues or structured data errors
- Established keyword strategy or cluster architecture
After completing:
- New SEO pattern discovered → Append to
.claude/context/memory/learnings.md - Crawl/indexing issue found → Append to
.claude/context/memory/issues.md - Keyword strategy decision → Append to
.claude/context/memory/decisions.md
ASSUME INTERRUPTION: Your context may reset. If it's not in memory, it didn't happen.
Invoke the seo-optimization skill and follow it exactly as presented to you
'use strict';
/**
* Post-execute hook for seo-optimization
*/
function postExecute(_context) {
return { ok: true, skill: 'seo-optimization' };
}
module.exports = { postExecute };
'use strict';
/**
* Pre-execute hook for seo-optimization
*/
function preExecute(context) {
if (!context || typeof context !== 'object') {
return { allow: true, message: 'seo-optimization: no context to validate' };
}
return { allow: true };
}
module.exports = { preExecute };
SEO Optimization Research Requirements (2026)
Verified Tech Stack
- Analysis: Lighthouse, PageSpeed Insights
- Schema: JSON-LD structured data
- Tools: Screaming Frog, Ahrefs, SEMrush APIs
Key SEO Factors (2026)
Technical SEO
- Core Web Vitals (LCP, FID, CLS)
- Mobile-first indexing compliance
- HTTPS and security headers
- XML sitemaps and robots.txt
On-Page SEO
- Title tags (50-60 characters)
- Meta descriptions (150-160 characters)
- H1-H6 hierarchy
- Image alt text
- Internal linking structure
Structured Data
- JSON-LD format (preferred)
- Schema.org vocabulary
- Rich result eligibility
Implementation Patterns
Meta Tags
<title>Descriptive Title | Brand</title>
<meta name="description" content="Compelling description under 160 chars." />
<meta name="robots" content="index, follow" />Schema Markup
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Article",
"headline": "Article Title",
"author": { "@type": "Person", "name": "Author" }
}
</script>Source References
SEO Optimization Rules
Core Principles
- Always audit technical SEO (crawlability, indexing, Core Web Vitals) before content or keyword work
- Classify search intent (informational/navigational/commercial/transactional) before targeting any keyword
- Use JSON-LD for all structured data implementation; validate with Google Rich Results Test
- Build topical authority clusters rather than individual keyword-stuffed pages
- Apply E-E-A-T signals systematically: author credentials, citations, freshness, trust signals
- Review all AI-generated content for accuracy, tone, and brand voice before publishing
Anti-Patterns
- Do NOT optimize content before technical audit — crawl/index issues negate content work
- Do NOT pursue exact-match anchor text aggressively (keep below 10%) — over-optimization penalty risk
- Do NOT use Microdata or RDFa for structured data — use JSON-LD (Google's recommended format)
- Do NOT set
rel="noindex"to solve duplicate content — use canonical tags instead - Do NOT publish raw AI-generated content — E-E-A-T requires human expert review
- Do NOT ignore mobile Core Web Vitals — Google uses mobile-first indexing
Integration Points
- Use
web-perfskill for deep Core Web Vitals optimization - Use
research-synthesisskill before conducting keyword research - Assign to
marketing-strategistandaso-specialistagents - Reference Google Search Console for live crawl/index data
{
"$schema": "https://json-schema.org/draft-07/schema#",
"title": "SEO Optimization Input",
"description": "Validated inputs for seo-optimization skill execution",
"type": "object",
"required": ["action"],
"properties": {
"action": {
"type": "string",
"enum": [
"audit",
"keyword-research",
"on-page",
"structured-data",
"link-building",
"ai-search",
"full"
],
"description": "The SEO workflow phase to execute. Use 'full' for complete 7-phase audit."
},
"url": {
"type": "string",
"description": "Target URL or domain to audit (e.g., https://example.com)"
},
"keywords": {
"type": "array",
"items": { "type": "string" },
"description": "Seed keywords for keyword research phase"
},
"competitors": {
"type": "array",
"items": { "type": "string" },
"description": "Competitor domains for gap analysis (e.g., ['competitor.com'])"
},
"priority": {
"type": "string",
"enum": ["P0", "P1", "P2", "all"],
"default": "all",
"description": "Minimum priority level of findings to include in output"
},
"output_format": {
"type": "string",
"enum": ["report", "checklist", "recommendations"],
"default": "report",
"description": "Format of the output: full audit report, checklist, or recommendations only"
}
},
"additionalProperties": false
}
{
"$schema": "https://json-schema.org/draft-07/schema#",
"title": "SEO Optimization Output",
"description": "Structured output from seo-optimization skill execution",
"type": "object",
"required": ["status", "findings"],
"properties": {
"status": {
"type": "string",
"enum": ["success", "partial", "failure"],
"description": "Overall execution status"
},
"url": {
"type": "string",
"description": "Audited URL or domain"
},
"phase_completed": {
"type": "string",
"description": "Last completed phase of the SEO workflow"
},
"findings": {
"type": "object",
"properties": {
"P0": {
"type": "array",
"items": {
"type": "object",
"required": ["finding", "impact", "recommendation"],
"properties": {
"finding": { "type": "string" },
"impact": { "type": "string" },
"recommendation": { "type": "string" }
}
},
"description": "Critical findings requiring immediate action"
},
"P1": {
"type": "array",
"items": {
"type": "object",
"required": ["finding", "impact", "recommendation"],
"properties": {
"finding": { "type": "string" },
"impact": { "type": "string" },
"recommendation": { "type": "string" }
}
},
"description": "High-priority findings for current sprint"
},
"P2": {
"type": "array",
"items": {
"type": "object",
"required": ["finding", "impact", "recommendation"],
"properties": {
"finding": { "type": "string" },
"impact": { "type": "string" },
"recommendation": { "type": "string" }
}
},
"description": "Medium-priority findings for current quarter"
}
}
},
"core_web_vitals": {
"type": "object",
"properties": {
"lcp": { "type": "string" },
"inp": { "type": "string" },
"cls": { "type": "string" }
},
"description": "Core Web Vitals scores if measured"
},
"keywords_identified": {
"type": "array",
"items": { "type": "string" },
"description": "Target keywords identified during research phase"
},
"schema_types_implemented": {
"type": "array",
"items": { "type": "string" },
"description": "Structured data schema types implemented or recommended"
},
"report_path": {
"type": "string",
"description": "Path to full audit report if written to file"
}
},
"additionalProperties": false
}
#!/usr/bin/env node
/**
* seo-optimization - Optimization Skill
*/
const fs = require('fs');
const path = require('path');
// Parse arguments
const args = process.argv.slice(2);
const options = {};
for (let i = 0; i < args.length; i++) {
if (args[i].startsWith('--')) {
const key = args[i].slice(2);
const value = args[i + 1] && !args[i + 1].startsWith('--') ? args[++i] : true;
options[key] = value;
}
}
if (options.help) {
console.log(`
seo-optimization - Optimization Skill
Usage:
node main.cjs --analyze <url> Analyze SEO for a URL
node main.cjs --list List SEO checks
node main.cjs --help Show this help
Description:
Optimize content for search engine visibility and ranking.
`);
process.exit(0);
}
if (options.list) {
console.log('SEO checks available:');
console.log('See SKILL.md for full checklist');
process.exit(0);
}
console.log('seo-optimization skill loaded. Use with Claude for SEO optimization.');
seo-optimization Implementation Template
Goal
- Define target outcome and acceptance criteria.
TDD
1. Red 2. Green 3. Refactor
Verification
- lint
- format
- targeted tests
SEO-Specific Checks
1. Meta tag optimization 2. Schema markup validation 3. Page speed analysis 4. Mobile responsiveness 5. Content quality scoring