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Get Started Free →Comprehensive SEO audit skill for Next.js and HTML pages. Covers on-page optimisation, JSON-LD schema validation, meta tags, Open Graph, semantic HTML, site speed, mobile responsiveness, and backlink analysis. Use when a user asks to audit, optimise, or fix SEO issues on a webpage or website.
.claude/skills/thisisahsaniqbal-nextjs-seo-audit/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-15 | ✗→✓ | ▲ Improved | 10% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 18% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 33% | 0% |
| case-10 | ✗→✓ | ▲ Improved | 18% | 0% |
| case-11 | ✗→✓ | ▲ Improved | 12% | 0% |
A comprehensive SEO audit skill that teaches you how to analyse HTML pages and provide actionable recommendations across 10 skill areas.
Use this skill when the user asks you to:
When performing a full SEO audit, run all 10 sub-skills in order on the provided HTML. Read each sub-skill's SKILL.md for the detailed checklist:
| # | Skill | SKILL.md | Focus area | |---|---|---|---| | 1 | On-Page Optimization | skills/onpage-optimization/SKILL.md | Headings, keywords, internal links | | 2 | Schema JSON Optimization | skills/schema-json-optimization/SKILL.md | JSON-LD structured data | | 3 | Meta Data Optimization | skills/meta-data-optimization/SKILL.md | Title, description, OG, Twitter Cards | | 4 | Semantic Layout | skills/semantic-layout/SKILL.md | HTML5 semantic elements, accessibility | | 5 | Site Speed Optimization | skills/site-speed-optimization/SKILL.md | Scripts, stylesheets, images | | 6 | Mobile Optimization | skills/mobile-optimization/SKILL.md | Viewport, responsive design, touch targets | | 7 | Backlink Monitoring | skills/backlink-monitoring/SKILL.md | External links, dofollow/nofollow strategy | | 8 | International SEO | skills/international-seo/SKILL.md | Hreflang, multi-language, regional targeting | | 9 | Technical SEO | skills/technical-seo/SKILL.md | Sitemap, robots.txt, canonical, crawlability | | 10 | Core Web Vitals | skills/core-web-vitals/SKILL.md | LCP, CLS, INP, performance scoring |
For each check, report:
✅ PASS, ⚠️ WARN, or ❌ FAILAt the end, provide a summary:
SEO Audit Summary
─────────────────
✅ Pass: X
⚠️ Warn: Y
❌ Fail: Z
──────────────
Score: XX%These thresholds are used across all sub-skills:
| Parameter | Value | |---|---| | Title length | 30–60 characters | | Meta description length | 120–160 characters | | Keyword density (ideal) | 1.0–3.0% | | Internal links (min per page) | 3 | | Max fixed-width before warning | 500px | | Min touch target size | 48px × 48px | | Max inline CSS length | 5000 characters | | Max external scripts | 10 | | Required OG tags | og:title, og:description, og:image, og:url, og:type | | Required Twitter Card tags | twitter:card, twitter:title, twitter:description | | Required semantic elements | header, main, footer, nav | | Recommended semantic elements | article, section, aside, figure |
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-15 | fail→pass | 8,781 | 5,130 | -42% | 1 | 1 | 0% | 1,793 | 1,972 | +10% | 0 | 0 | — |
case-01 | fail→fail | 24,114 | 5,051 | -79% | 1 | 1 | 0% | 4,807 | 1,906 | -60% | 0 | 0 | — |
case-02 | fail→fail | 5,865 | 7,092 | +21% | 1 | 1 | 0% | 1,021 | 1,882 | +84% | 0 | 0 | — |
case-03 | fail→fail | 19,061 | 6,381 | -67% | 1 | 1 | 0% | 3,577 | 2,163 | -40% | 0 | 0 | — |
case-04 | pass→pass | 14,299 | 17,646 | +23% | 1 | 1 | 0% | 2,566 | 3,619 | +41% | 0 | 0 | — |
case-05 | pass→pass | 16,913 | 16,394 | -3% | 1 | 1 | 0% | 2,758 | 3,557 | +29% | 0 | 0 | — |
case-06 | pass→pass | 6,516 | 6,230 | -4% | 1 | 1 | 0% | 1,227 | 2,052 | +67% | 0 | 0 | — |
case-07 | fail→pass | 11,613 | 7,612 | -34% | 1 | 1 | 0% | 1,944 | 2,286 | +18% | 0 | 0 | — |
case-08 | pass→pass | 11,478 | 5,031 | -56% | 1 | 1 | 0% | 1,313 | 1,873 | +43% | 0 | 0 | — |
case-09 | fail→pass | 10,940 | 8,866 | -19% | 1 | 1 | 0% | 1,911 | 2,537 | +33% | 0 | 0 | — |
case-10 | fail→pass | 11,829 | 7,726 | -35% | 1 | 1 | 0% | 1,783 | 2,107 | +18% | 0 | 0 | — |
case-11 | fail→pass | 11,312 | 7,442 | -34% | 1 | 1 | 0% | 2,066 | 2,318 | +12% | 0 | 0 | — |
case-12 | pass→pass | 10,657 | 8,927 | -16% | 1 | 1 | 0% | 2,145 | 1,959 | -9% | 0 | 0 | — |
case-13 | fail→pass | 11,337 | 5,129 | -55% | 1 | 1 | 0% | 1,925 | 1,859 | -3% | 0 | 0 | — |
case-14 | fail→pass | 10,306 | 5,239 | -49% | 1 | 1 | 0% | 1,771 | 1,823 | +3% | 0 | 0 | — |
case-16 | fail→pass | 10,635 | 11,223 | +6% | 1 | 1 | 0% | 1,776 | 2,478 | +40% | 0 | 0 | — |
case-17 | pass→pass | 7,888 | 4,860 | -38% | 1 | 1 | 0% | 1,431 | 1,908 | +33% | 0 | 0 | — |
case-18 | pass→pass | 9,513 | 5,594 | -41% | 1 | 1 | 0% | 1,687 | 2,028 | +20% | 0 | 0 | — |
case-19 | fail→pass | 13,153 | 2,476 | -81% | 1 | 1 | 0% | 2,460 | 1,448 | -41% | 0 | 0 | — |
case-20 | fail→pass | 12,221 | 4,334 | -65% | 1 | 1 | 0% | 2,215 | 1,896 | -14% | 0 | 0 | — |
case-21 | fail→pass | 6,721 | 3,143 | -53% | 1 | 1 | 0% | 1,185 | 1,569 | +32% | 0 | 0 | — |
case-22 | fail→pass | 4,759 | 3,031 | -36% | 1 | 1 | 0% | 786 | 1,443 | +84% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +55 percentage points is the difference between those two pass rates over the 22 comparable cases. 1 case got worse with the skill loaded, and it is included in that figure.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.