SuperSEO Skills：一套面向AI代理的开源SEO技能包

InhouseSEO has open-sourced SuperSEO Skills, a complete SEO skill package designed for AI agents like Claude and Cursor. It includes 20 core SEO workflows covering content creation, technical audit, link building, and more. This allows SEO practitioners to perform professional-level SEO tasks via AI agents without relying on expensive SaaS tools.

Traditional SEO workflows rely on fragmented tools (Ahrefs, Screaming Frog, etc.) leading to low efficiency and high subscription costs. SuperSEO Skills encapsulates SEO expertise into AI-callable skills, derived from InhouseSEO's实战-tested production environment.

1. 20 SEO Workflow Skills: Cover content (brief, writing, optimization), technical audit (page audit, health check), keyword analysis (opportunities, deep dive), link building, and diagnosis.
2. 25 Content Templates: Include H1/H2 structure, Schema guides, Featured Snippet strategies, and E-E-A-T tips for 25 content types.
3. 18 Link Building Tactics: Detailed manuals for broken link building, Skyscraper technique, etc., with step-by-step guides and real conversion data.

SuperSEO features an anti-AI spam system with:

• Layered forbidden word libraries (risk-classified AI terms)
• Structure pattern detection (avoiding mechanical paragraph structures)
• Horoscope Test (checking for empty content)
• Advanced techniques like sound injection and E-E-A-T embedding to ensure natural, valuable content.

Deployment: Easy integration into Claude (code/desktop), Cursor, and other AI agents via cloning or pasting skill content. Data: Supports GSC exports, Ahrefs/SEMrush data, Screaming Frog crawls, manual SERP info—focuses on analysis frameworks rather than tied data sources.

For SEO practitioners: Reduces tool costs, boosts efficiency (AI handles standard tasks), enables knowledge reuse, and fights AI content homogenization. For AI field: Demonstrates how to structure domain expertise into AI skills, which can be extended to legal, medical, and financial sectors.

SuperSEO Skills is more than a tool—it represents a new way of working where domain expertise is encoded into AI skills. Mastering how to 'teach' AI professional skills may become a core competency in the generative AI era.