SEO Page Optimization

Name: SEO Page Optimization
Availability: InStock
Author: AgriciDaniel

Free Verified 74 lines By AgriciDaniel ★ 1,654 on GitHub SEO

Description

Deep single-page SEO analysis covering on-page elements, content quality, technical meta tags, schema, images, and performance.

How It Works

Click to enlarge

What Claude Learns

→ What to Analyze
→ Output

Installation

1. Visit the GitHub repository: https://github.com/AgriciDaniel/claude-seo
2. Copy the SKILL.md file contents
3. Save to ~/.claude/commands/skill-name.md
4. Restart Claude Code to load the new skill

Use Cases

What to Analyze

Related Skills

Frequently Asked Questions

How detailed is the SEO Page Optimization skill?

SEO Page Optimization contains 74 lines of structured instructions covering 2 key areas. It provides focused guidance including specific implementation patterns, not just surface-level tips.

Is SEO Page Optimization free to use?

Yes, SEO Page Optimization is completely free. You can download the SKILL.md file or copy it to your clipboard directly from the skill page.

What will Claude Code learn from this skill?

Claude Code will gain expertise in: What to Analyze; Output.

Download SKILL.md GitHub

---
name: seo-page
description: >
  Deep single-page SEO analysis covering on-page elements, content quality,
  technical meta tags, schema, images, and performance. Use when user says
  "analyze this page", "check page SEO", or provides a single URL for review.
---

# Single Page Analysis

## What to Analyze

### On-Page SEO
- Title tag: 50-60 characters, includes primary keyword, unique
- Meta description: 150-160 characters, compelling, includes keyword
- H1: exactly one, matches page intent, includes keyword
- H2-H6: logical hierarchy (no skipped levels), descriptive
- URL: short, descriptive, hyphenated, no parameters
- Internal links: sufficient, relevant anchor text, no orphan pages
- External links: to authoritative sources, reasonable count

### Content Quality
- Word count vs page type minimums (see quality-gates.md)
- Readability: Flesch Reading Ease score, grade level
- Keyword density: natural (1-3%), semantic variations present
- E-E-A-T signals: author bio, credentials, first-hand experience markers
- Content freshness: publication date, last updated date

### Technical Elements
- Canonical tag: present, self-referencing or correct
- Meta robots: index/follow unless intentionally blocked
- Open Graph: og:title, og:description, og:image, og:url
- Twitter Card: twitter:card, twitter:title, twitter:description
- Hreflang: if multi-language, correct implementation

### Schema Markup
- Detect all types (JSON-LD preferred)
- Validate required properties
- Identify missing opportunities
- NEVER recommend HowTo (deprecated) or FAQ (restricted to gov/health)

### Images
- Alt text: present, descriptive, includes keywords where natural
- File size: flag >200KB (warning), >500KB (critical)
- Format: recommend WebP/AVIF over JPEG/PNG
- Dimensions: width/height set for CLS prevention
- Lazy loading: loading="lazy" on below-fold images

### Core Web Vitals (reference only — not measurable from HTML alone)
- Flag potential LCP issues (huge hero images, render-blocking resources)
- Flag potential INP issues (heavy JS, no async/defer)
- Flag potential CLS issues (missing image dimensions, injected content)

## Output

### Page Score Card
```
Overall Score: XX/100

On-Page SEO:     XX/100  ████████░░
Content Quality: XX/100  ██████████
Technical:       XX/100  ███████░░░
Schema:          XX/100  █████░░░░░
Images:          XX/100  ████████░░
```

### Issues Found
Organized by priority: Critical → High → Medium → Low

### Recommendations
Specific, actionable improvements with expected impact

### Schema Suggestions
Ready-to-use JSON-LD code for detected opportunities

Description

How It Works

What Claude Learns

Installation

Use Cases

What to Analyze

Related Skills

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Frequently Asked Questions

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