narwhal 是做什麼的?
Narwhal — 在地優先的 SEO 與 GEO/LLMO (AI 搜尋) 掃描工具組,作為 Claude Code、Codex、Cursor 及 OpenCode 的代理技能
Narwhal — 在地優先的 SEO 與 GEO/LLMO (AI 搜尋) 掃描工具組,作為 Claude Code、Codex、Cursor 及 OpenCode 的代理技能
Narwhal 是一款專為 AI 代理(如 Claude Code、Codex、Cursor 及 OpenCode)量身打造的本機優先 SEO 與 GEO/LLMO(AI 搜尋)掃描工具組。它能讓開發者直接在終端機中,對網站進行在地化的 SEO 分析與生成式引擎最佳化(GEO)掃描,無需仰賴外部服務。 此工具支援多種常見的 AI 編碼平台,並透過輕量級的 CLI 介面提供即時回饋,幫助開發者在編寫程式碼的同時,快速評估網站在傳統搜尋引擎與新興 AI 搜尋(如 ChatGPT、Perplexity 等)中的表現。 其核心優勢在於完全在本機運作,確保資料隱私並減少延遲,同時簡化了 SEO 與 GEO 的審查流程,讓開發者能更有效率地最佳化網站內容。
npx skills add aindong/narwhalInstalled? Explore more 研究與資料分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Narwhal — 在地優先的 SEO 與 GEO/LLMO (AI 搜尋) 掃描工具組,作為 Claude Code、Codex、Cursor 及 OpenCode 的代理技能
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.