SEO Sxo
Diagnose search-experience and intent mismatches using SERP page types, user stories...
Install
npx skills add AgriciDaniel/claude-seo --skill seo-sxo -g -a claude-code -y- Repository
- AgriciDaniel/claude-seo25.5k
- Category
- Engineering
- Updated
- 3d ago
- License
- MIT
- Context cost
- Mediumabout 2,532 tokens
- Runs scripts
- No, instructions only
What it does
Diagnose search-experience and intent mismatches using SERP page types, user stories, and persona scoring. Use when ranking problems appear intent- or layout-driven.
Search Experience Optimization (SXO)
SXO bridges the gap between SEO (what Google rewards) and UX (what users need). Traditional SEO audits check technical health. SXO asks: "Does this page deserve to rank for this keyword based on what Google is actually rewarding in the SERP?"
Core Insight
A page can score 95/100 on technical SEO and still fail to rank because it is the wrong page type for the keyword. If Google shows 8 product pages and 2 comparison pages for your keyword, your blog post will never break through -- no matter how well-optimized it is.
Commands
| Command | Purpose |
|---|---|
/seo sxo <url> | Full SXO analysis (auto-detect keyword from page) |
/seo sxo <url> <keyword> | Full SXO analysis for a specific keyword |
/seo sxo wireframe <url> | Generate IST/SOLL wireframe with concrete placeholders |
/seo sxo personas <url> | Persona-only scoring (skip SERP analysis) |
Execution Pipeline
Step 1: Target Acquisition
- Fetch the target URL via
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run render_page.py <URL> --mode auto(SPA-aware and SSRF-safe) - Parse with
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run parse_html.py <URL>to extract: title, H1, meta description, headings hierarchy, word count, schema markup, CTAs, media elements - If no keyword provided, extract primary keyword from title tag + H1 overlap
- Validate keyword is non-empty before proceeding
Step 2: SERP Backwards Analysis
Read references/page-type-taxonomy.md for classification rules.
