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page-seo-analysis

Run a deep SEO audit of one URL across title/meta, headings, content depth, E-E-A-T, schema (with deprecation flags for HowTo, FAQ, SpecialAnnouncement), images, internal links, technical signals, and AI search readiness.

Install / Use

npx skills add indranilbanerjee/digital-marketing-pro --skill page-seo-analysis

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

81/100

Category

Marketing

Supported Platforms

Universal

Our assessment of page-seo-analysis

page-seo-analysis scores 81/100 on our quality scale, 553rd of 610 Marketing skills we index.

Its SKILL.md is 4.5 KB long, well organised into 9 sections and no code examples: a solid amount of guidance for an agent.

It has 832 GitHub stars, a meaningful sign that others use it.

Substance
26/30
Structure
13/20
Description
15/15
Adoption
12/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 26 days ago, so page-seo-analysis is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

page-seo-analysis compared with similar skills

All 4 of these similar skills score higher than page-seo-analysis; compare them before choosing.

SkillScoreStarsUpdatedFormat
page-seo-analysis (this skill)by indranilbanerjee8183226d agoSKILL.md
Agent-Reachby Panniantong10090.1k18d agoCLAUDE.md
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algorithmic-artby anthropics100177.9k11d agoSKILL.md
pptxby anthropics100177.9k11d agoSKILL.md

Frequently asked questions

How do I install page-seo-analysis?
Run npx skills add indranilbanerjee/digital-marketing-pro --skill page-seo-analysis. The install tabs above show the steps for each supported agent.
Which AI agents does page-seo-analysis work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is page-seo-analysis safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is page-seo-analysis still maintained?
The repository was last updated 26 days ago, so page-seo-analysis is actively maintained.

name: page-seo-analysis description: "Run a deep SEO audit of one URL across title/meta, headings, content depth, E-E-A-T, schema (with deprecation flags for HowTo, FAQ, SpecialAnnouncement), images, internal links, technical signals, and AI search readiness. Produces a scored /80 report with exact replacement title tags and meta descriptions, ready-to-paste JSON-LD, and optional competitor comparison. Triggers on "/digital-marketing-pro:page-seo-analysis", "analyze the SEO of this page", "why isn't this page ranking", "audit this URL before publish", "compare my page against competitor pages". Reads the brand profile and guidelines; analysis and recommendations only — nothing is changed on the site. For a site-wide view, pair with /digital-marketing-pro:seo-audit." argument-hint: "[URL]" user-invocable: true

/digital-marketing-pro:page-seo-analysis

Purpose

Deep single-page SEO analysis — examines everything about one URL across all ranking dimensions. More granular than a site-wide audit. Use for landing page optimization, content refresh prioritization, or pre-publish quality checks.

Input Required

  • URL: The specific page to analyze
  • Target keyword: Primary keyword this page should rank for (optional — can be inferred)
  • Competitors: 1-3 competitor pages targeting the same keyword (optional)

Process

  1. Load brand context: Read active brand profile. Load brand guidelines if available.
  2. Fetch and parse page: Retrieve full HTML, extract all signals.
  3. Title tag analysis: Character count (50-60 chars ideal), keyword placement, brand inclusion, uniqueness, click-worthiness.
  4. Meta description analysis: Character count (150-160 chars), keyword inclusion, CTA presence, uniqueness.
  5. Heading hierarchy: H1 presence and uniqueness, H2-H6 logical structure, keyword distribution across headings.
  6. Content depth analysis: Word count, reading level, topic coverage completeness, keyword placement (primary keyword in title, intro, ≥2 H2s, conclusion, and meta — density is not a target; keyword-density percentages are a discredited metric, not a ranking factor), natural coverage of related/co-occurring terms, content freshness (last modified date).
  7. E-E-A-T signals: Author byline and bio, credentials, first-hand experience indicators, citations and sources, about page link, contact information.
  8. Schema markup detection: JSON-LD, Microdata, RDFa — validate against Google's supported types, check for deprecations (HowTo deprecated Sept 2023, FAQ restricted to gov/health Aug 2023, SpecialAnnouncement deprecated July 2025), suggest missing schema opportunities.
  9. Image audit: Alt text, dimensions, format, lazy loading, fetchpriority on LCP image (see image-seo-audit skill for full methodology).
  10. Internal linking: Inbound links to this page, outbound links from this page, anchor text quality, orphan page check.
  11. Technical signals: Canonical tag, robots directives, mobile viewport, HTTPS, page speed indicators, Core Web Vitals.
  12. AI search readiness: Entity consistency, citation-worthiness, structured answer formatting, concise answer blocks for featured snippets.
  13. Competitor comparison (if provided): Side-by-side analysis of word count, schema, headings, E-E-A-T signals vs competitor pages.

Schema Deprecation Tracking

Always check and flag:

  • HowTo: Deprecated (September 2023) — rich results removed
  • FAQ: Restricted to government and health authority sites (August 2023)
  • SpecialAnnouncement: Deprecated (July 2025)
  • EnergyConsumptionDetails: Replaced by Certification schema (April 2025)

Output

Page SEO Score: XX/80

| Dimension | Score | Priority Issues | |-----------|-------|-----------------| | Title & Meta | /10 | ... | | Content Depth | /10 | ... | | E-E-A-T | /10 | ... | | Schema Markup | /10 | ... | | Images | /10 | ... | | Internal Links | /10 | ... | | Technical | /10 | ... | | AI Readiness | /10 | ... |

  • Specific, actionable recommendations for each dimension
  • Exact replacement title tags and meta descriptions (with character counts)
  • Missing schema markup JSON-LD code (ready to implement)
  • Content gaps vs competitors
  • Quick wins vs strategic improvements

Agents Used

  • seo-specialist — All page-level analysis, scoring, recommendations

Scripts Used

  • tech-seo-auditor.py — Technical signal extraction
  • content-scorer.py — Content quality scoring
  • schema-generator.py — Generate missing schema markup
  • competitor-scraper.py — Competitor page comparison

Related Skills

View on GitHub
GitHub Stars832
CategoryMarketing
Updated26d ago
Forks136

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions