marktwin 是做什麼的？
隱私點對點協作 Markdown 筆記，基於 GitHub。無需伺服器端資料庫。
基於GitHub的隱私點對點協作Markdown筆記，無需伺服器端資料庫。
OptimAI-labs/marktwin 是一款專為注重隱私的開發者設計的協作工具，它利用點對點（P2P）技術與 GitHub 無縫整合，實現多人即時協作編輯 Markdown 筆記，但堅決不依賴任何伺服器端資料庫或第三方雲端服務。這意味著您的所有筆記資料都保留在自己的設備或 GitHub 倉庫中，從根本上避免資料外洩或服務中斷的風險。該工具支援 Claude Code、Cursor、Codex 等主流 AI 代理平台，讓 AI 也能安全地參與協作。其運作原理是透過 GitHub 的 issue 或 PR 機制，將每個 Markdown 文件變化作為獨立的變更記錄，並透過 P2P 廣播給協作者，從而實現即時同步。對於需要跨團隊協作但又對資料主權有嚴格要求的專案，這是一個理想的解決方案。
npx skills add OptimAI-labs/marktwinInstalled? 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 →
隱私點對點協作 Markdown 筆記，基於 GitHub。無需伺服器端資料庫。
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.