by aleksandr-alhoff · Claude Skill · ★ 52
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
SEO Landing: Give your AI coding agent the capabilities of a senior Technical SEO engineer. An agent skill for building high-performance, technically optimized SEO landing pages. Turn an AI coding agent into a technical SEO specialist. Build and improve landing pages with: • 🚀 100/100 Google PageSpeed target • ⚡ Core Web Vitals optimization
| Stars | 52 |
| Forks | 5 |
| Language | HTML |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 52.4183889927733/100 |
| Last Updated | 2026-08-30 |
| Created | 2026-08-28 |
| Platforms | browser, claude-code, codex, gemini |
| Est. Tokens | ~15k |
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seo-landing is SEO Landing: Give your AI coding agent the capabilities of a senior Technical SEO engineer. An agent skill for building high-performance, technically optimized SEO landing pages. Turn an AI coding ag. It is categorized as a Claude Skill with 52 GitHub stars.
seo-landing is primarily written in HTML. It covers topics such as agent-skills, claude-skills, codex.
You can find installation instructions and usage details in the seo-landing GitHub repository at github.com/aleksandr-alhoff/seo-landing. The project has 52 stars and 5 forks, indicating an active community.
seo-landing is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to seo-landing on Agent Skills Hub include pagespeed-insights-mcp, seo-monster, seo-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: