Cursor インストールガイド
開発者向け MCP サーバーとよく使われる AI コードエディタ。
MCP Servers

Add vision to text-only models in Opencode (, ) — , no manual file saving.

Open-source, local-first memory and context for AI agents. One memory store, every agent.

Agent Browser eliminates the need to configure each MCP server in every client. Connect your clients once to Agent Browser, and it will manage all your Server-Sent Events (SSE) MCP servers for you.

Self-hosted, agent-native web app and MCP server for your Obsidian-style Markdown vault. Browse, search, and edit notes from a fast UI or from AI agents.

个人知识库 MCP 服务器 — 对本地文档建立索引,并提供一组飞书 API 工具,通过 MCP 协议供 AI 客户端访问。

LogLead performs log loading, log enhancement, log feature engineering, log analysis, log anomaly detection also via MCP-server.
Agent Skills

Open-source local AI agent that operates your entire computer — GUI, browser, shell, messaging — from a single instruction. Teach it once, it learns. Use it daily, it gets faster.

Point an agent at one base URL with one token and it can do the job: — SEO and backlinks, social and trends, people and company enrichment, ads, scraping — , with no provider signup.

A text search engine that supports mixed Chinese and English fuzzy search

A stateless CLI for web search, code search, library docs, and scraping — one binary, no daemon, no API server to run.

Built with Production-Grade Plugin for Claude Code

An agent-led job application workflow and local progress-tracking dashboard. It works with any AI coding agent that can read a file and follow written instructions (Claude Code, Codex CLI, Cursor,...

大多数 AI 翻译生硬、欧化、一眼就能看出是机翻。**专为书籍级长文本设计,核心承诺是**。

— 基于 Claude Code Agent Teams 的多智能体协作安全分析框架

Autonomous formalization of research-level mathematics in Lean 4

This repository contains 20+ Claude skills that will help you turn Claude into a Fortune 500 growth team.

🎓 基于 AI 的科研论文写作助手,提供 30 个 Prompt 模板覆盖论文写作全流程 : 3.0 | : MIT | : 中文/英文

这个 skill 的目标不是生成几段股票摘要,而是让 AI 工具按接近机构投研的纪律完成一份**的深度个股研究报告。它面向严肃投资研究、长线跟踪、财报复盘、投资备忘录和估值校准,不追求最快给出一句话结论。v2 起,整份报告以**(市场隐含预期 vs 独立预期)为分析主线,并在估值前增加**。