Page SEO Analysis Agent Skill
Analyze SEO for a single page. Use when: auditing on-page signals, schema, content quality, E-E-A-T, or AI search readiness.
Install
one command, takes just this skill from the repositorynpx skills add https://github.com/indranilbanerjee/digital-marketing-pro --skill page-seo-analysisThe instruction itself
9 sections, as written by the author/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
- Load brand context: Read active brand profile. Load brand guidelines if available.
- Fetch and parse page: Retrieve full HTML, extract all signals.
- Title tag analysis: Character count (50-60 chars ideal), keyword placement, brand inclusion, uniqueness, click-worthiness.
- Meta description analysis: Character count (150-160 chars), keyword inclusion, CTA presence, uniqueness.
- Heading hierarchy: H1 presence and uniqueness, H2-H6 logical structure, keyword distribution across headings.
- 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).
- E-E-A-T signals: Author byline and bio, credentials, first-hand experience indicators, citations and sources, about page link, contact information.
- 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.
- 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
Other skills for the same job
different authors, same section of the catalogue
A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).
Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.
Identifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals.
Analyzes your recent Claude Code chat history to identify coding patterns, development gaps, and areas for improvement, curates relevant learning resources from HackerNews, and automatically sends a personalized growth report to your Slack DMs.
Complete App Store Optimization (ASO) toolkit for researching, optimizing, and tracking mobile app performance on Apple App Store and Google Play Store
NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.
Materials science toolkit. Crystal structures (CIF, POSCAR), phase diagrams, band structure, DOS, Materials Project integration, format conversion, for computational materials science.
Transforms vague UI ideas into polished, Stitch-optimized prompts. Enhances specificity, adds UI/UX keywords, injects design system context, and structures output for better generation results.
How to use it
Take indranilbanerjee/page-seo-analysis from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.