allan-mcp-memory-code 是做什麼的？
為 AI 程式碼助手儲存持久化的知識圖譜，使用本地 Docker 搭配混合搜尋與實體萃取。
- 來源：https://github.com/gerrielxxvii307/allan-mcp-memory-code
- GitHub 星星數：0
- 最後推送時間：2026-06-16T08:24:20Z
- 由 Awesome Skills 每日技能獵人於 2026-06-16 新增。
為 AI 程式碼助手儲存持久化的知識圖譜，使用本地 Docker 搭配混合搜尋與實體萃取。
此技能提供一個基於 Docker 的本地知識圖譜儲存解決方案，專為 AI 程式碼助手（如 Claude Code、Cursor 等）設計。它利用混合搜尋（結合向量與關鍵字）與實體萃取技術，讓開發者能夠持久化地儲存和查詢專案中的知識結構、依賴關係與設計模式。支援 MCP 協定，可無縫整合至支援該協定的 AI 代理環境中。透過 Docker 容器隔離，確保資料安全且易於部署，適合需要長期記憶與結構化知識管理的開發工作流程。
npx skills add gerrielxxvii307/allan-mcp-memory-codeInstalled? 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 →
為 AI 程式碼助手儲存持久化的知識圖譜，使用本地 Docker 搭配混合搜尋與實體萃取。
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.