NetCoreKevin は何をしますか？
基于.NET搭建-AI知识库智能体-现代化Saas企业级前后端分离架构：前端Vue3、多缓存、自动任务、分布式、一库多租户、日志、授权和鉴权、CAP集成事件、SignalR、领域事件、MCP协议服务、IOC模块化注入、自动任务、多短信集成、AI、AgentFramework智能体、AISemanticKernel集成、RAG检索增强、本地离线AI模型调用、智能体技能可控加载、单元测试、RabbitMQ、Skills技能管理、AI知识库、AI联网搜索
基于.NET搭建-AI知识库智能体-现代化Saas企业级前后端分离架构：前端Vue3、多缓存、自动任务、分布式、一库多租户、日志、授权和鉴权、CAP集成事件、SignalR、领域事件、MCP协议服务、IOC模块化注入、自动任务、多短信集成、AI、AgentFramework智能体、AISemanticKernel集成、RAG检索增强、本地离线AI模型调用、智能体技能可控加载、单元测试、RabbitMQ、Skills技能管理、AI知识库、AI联网搜索
NetCoreKevin is a Claude Code agent skill that 基于.NET搭建-AI知识库智能体-现代化Saas企业级前后端分离架构：前端Vue3、多缓存、自动任务、分布式、一库多租户、日志、授权和鉴权、CAP集成事件、SignalR、领域事件、MCP协议服务、IOC模块化注入、自动任务、多短信集成、AI、AgentFramework智能体、AISemanticKernel集成、RAG检索增强、本地离线AI模型调用、智能体技能可控加载、单元测试、RabbitMQ、Skills技能管理、AI知识库、AI联网搜索.
npx skills add junkai-li/NetCoreKevinInstalled? Explore more 研究＆データ分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
基于.NET搭建-AI知识库智能体-现代化Saas企业级前后端分离架构：前端Vue3、多缓存、自动任务、分布式、一库多租户、日志、授权和鉴权、CAP集成事件、SignalR、领域事件、MCP协议服务、IOC模块化注入、自动任务、多短信集成、AI、AgentFramework智能体、AISemanticKernel集成、RAG检索增强、本地离线AI模型调用、智能体技能可控加载、单元测试、RabbitMQ、Skills技能管理、AI知识库、AI联网搜索
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.