page-seo-analysis
Analyze SEO for a single page. Use when: auditing on-page signals, schema, content quality, E-E-A-T, or AI search readiness.
npx skills add indranilbanerjee/digital-marketing-pro --skill page-seo-analysis --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# /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, concl
- Purpose
- Input Required
- Process
- Schema Deprecation Tracking
- Output
- Page SEO Score: XX/80
- Agents Used
- Scripts Used
What does the page-seo-analysis skill do?
Analyze SEO for a single page. Use when: auditing on-page signals, schema, content quality, E-E-A-T, or AI search readiness.
How do I install it?
Run `npx skills add indranilbanerjee/digital-marketing-pro --skill page-seo-analysis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From indranilbanerjee/digital-marketing-pro, a repository with 700 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.