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indranilbanerjee/digital-marketing-pro111 installs

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. 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.

How do I install this agent skill?

npx skills add https://github.com/indranilbanerjee/digital-marketing-pro --skill page-seo-analysis
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    The skill performs deep SEO audits by fetching and parsing external web content, which exposes the agent to indirect prompt injection risks if the source material contains malicious instructions.

  • Socketpass

    No alerts

  • Snykwarn

    Risk: MEDIUM · 1 issue

What does this agent skill do?

/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

DimensionScorePriority 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

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/indranilbanerjee/digital-marketing-pro/page-seo-analysis">View page-seo-analysis on skillZs</a>