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seo-page

Skill4 starsChanged 8 months agoMITView on GitHub

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.

We split this skill into the rules it gives an agent

1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 23 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    NEVER recommend HowTo (deprecated) or FAQ (restricted to gov/health)

    line 40

“Common” is measured: kept by at least 6 in 10 of the 23 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

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  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

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