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Three-O (SEO + GEO + AAO) unified search and AI visibility optimization platform. 32 skills covering search engine optimization (Google + Naver), generative engine optimization (AI brand mention tracking, GEO scoring), and assistive agent optimization (agent selectability, conversion funnels, structured data push). Korean market native with global expansion support.
npx claudepluginhub jaehyunground/claude-three-o --plugin claude-three-oBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Conversion funnel analysis agent. Tests whether AI agents can complete end-to-end transactions (book, buy, signup) without human intervention. Detects friction points.
Structured data integration agent. Audits Schema.org coverage, product feeds, and API availability for AI agent consumption. Focuses on data completeness for agent decision-making.
Brand entity consistency agent. Verifies NAP consistency, description alignment, category matching, and attribute accuracy across all digital touchpoints for agent trust.
AI rendering accessibility agent. Compares static HTML vs JS-rendered content to identify what AI crawlers miss. Checks bot access policies and SSR availability.
Agent selectability scoring agent. Evaluates how likely AI agents are to select/recommend a brand based on structured data quality, ratings, information completeness, and actionability.
Full AAO (Assistive Agent Optimization) analysis. Evaluates how well a brand/website is optimized for AI agent selection, conversion, and structured data consumption. Use when user says "AAO audit", "AAO 분석", "agent optimization", "에이전트 최적화", "AI agent audit".
Analyzes conversion funnel readiness for AI agent transactions. Checks if agents can complete purchases, bookings, or signups without human intervention. Use when user says "conversion funnel", "전환 퍼널", "agent conversion", "에이전트 전환", "booking optimization", "예약 최적화".
Audits structured data integration for AI agent consumption. Checks Schema.org coverage, product feeds, API availability, and data quality for agent-driven discovery and action. Use when user says "structured data audit", "구조화 데이터", "schema audit", "스키마 감사", "data integration", "데이터 통합".
Checks brand entity consistency across platforms for agent trust. Verifies NAP (Name, Address, Phone), attributes, and descriptions are consistent across all digital touchpoints. Use when user says "entity consistency", "엔티티 일관성", "brand consistency", "브랜드 일관성", "NAP check", "NAP 확인".
Validates product feeds for Google Merchant Center and Naver Shopping EP. Checks data quality, completeness, freshness, and consistency with website product pages. Use when user says "product feed", "상품 피드", "merchant feed", "쇼핑 EP", "feed validation", "피드 검증".
Comprehensive SEO analysis plugin for Claude Code. 25 sub-skills (21 core + 1 orchestrator + 1 framework integration + 2 extension mirrors) and 18 sub-agents (15 core + 1 framework integration + 2 extension mirrors), plus 7 optional MCP extensions (DataForSEO, Firecrawl, Banana, Ahrefs, SE Ranking, Profound, Bing Webmaster, Unlighthouse). v2 adds shared headless rendering across every fetching agent (SPA-aware), QRG-aligned content quality gates, LCP subparts via CrUX, IndexNow submission, four explicit Schema.org generators (Reservation/OrderAction/DiscussionForumPosting/ProfilePage), AI Share-of-Voice tracking, parasite-SEO risk scanning, multi-platform portability (Cursor / Antigravity / Gemini CLI / Codex / Cline / Aider), and a hardened SSRF + DNS-rebinding canonical safety layer.
Complete creative writing suite with 10 specialized agents covering the full writing process: research gathering, character development, story architecture, world-building, dialogue coaching, editing/review, outlining, content strategy, believability auditing, and prose style/voice analysis. Includes genre-specific guides, templates, and quality checklists.
Efficient skill management system with progressive discovery — 410+ production-ready skills across 33+ domains
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Open-source, local-first Claude Code plugin for token reduction, context compression, and cost optimization using hybrid RAG retrieval (BM25 + vector search), reranking, AST-aware chunking, and compact context packets.
Intelligent draw.io diagramming plugin with AI-powered diagram generation, multi-platform embedding (GitHub, Confluence, Azure DevOps, Notion, Teams, Harness), conditional formatting, live data binding, and MCP server integration for programmatic diagram creation and management.
Agent Skills for AI/ML tasks including dataset creation, model training, evaluation, and research paper publishing on Hugging Face Hub