Enforce human-first SEO and AI-citation metadata standards on HTML pages.
npx skills add https://github.com/jsschrstrcks1/manateecreeksheep --skill icp-2
Please help me install this Agent Skill. Skill: icp-2 Source: https://github.com/jsschrstrcks1/manateecreeksheep/tree/main/.claude/skills/icp-2 Command: npx skills add https://github.com/jsschrstrcks1/manateecreeksheep --skill icp-2
ICP-2 defines a Human-First SEO & AI-citation standard to ensure pages are findable by humans, citable by AI, and honest about what they know.
Implement ICP-2 checks on the HTML pages to ensure AI-friendly metadata and human readability.
High-intent search queries and answers about installing and using this skill.
To validate JSON-LD and OpenGraph metadata for AI citations, enforce blocking checks that ensure schema data aligns directly with static HTML content. This prevents SEO theater and guarantees pages remain citable by AI crawlers.
AI-safe SEO is a human-first content standard enforcing explicit robot rules, canonical URLs, and last-reviewed metadata on HTML pages. This approach prevents data drift by implementing versioned freshness controls and strict validation across deployments.
Ensure AI crawlers can access static content by prescribing accessible HTML and explicit robot rules. Adding ai-summary metadata and validating JSON-LD schema allows AI models to safely summarize and cite your public pages.
Implementing canonical URLs and last-reviewed metadata requires blocking enforcement to prevent stale data drift. Strict validation checks ensure these freshness controls remain accurate across repository pages and website deployments.
The best way to maintain human-readable and AI-friendly pages is applying a human-first SEO standard with blocking checks. This enforces consistent metadata, JSON-LD validation, and AI crawler accessibility across all edited HTML files.
Avoid automated content validation for SEO theater prevention when HTML pages lack static content or last-reviewed metadata. Without versioned freshness controls and explicit AI crawler access rules, blocking checks cannot ensure honest data alignment.
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