Cursor Руководство установки
AI-редактор кода, часто используемый с developer MCP.
MCP Servers
AI-powered penetration testing MCP server
MCP-based assistant for busy people who are context switching
A single-binary MCP server that connects Claude Desktop and Claude Code to Microsoft Outlook via the Microsoft Graph API.
The . The historical and kept only for legacy/self-hosted workflows. New users should start with the extension-first path below.
An MCP server for Basecamp 3. It lets MCP-capable clients such as Codex, Cursor, and Claude Desktop read and manage Basecamp projects through OAuth-authenticated Basecamp API calls.
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一款面向 的跨平台桌面工具。把提示词模板、自定义 Prompt、第三方 API 供应商、会话同步、Skills / MCP 和 TOML 配置都放进可视化界面里，不用反复手改文件。
Agent Skills
Website · PyPI · npm · llms.txt for agents · Contributing · Discord
纠结跳槽还是留下，AI让你"列优缺点清单"——：反者道之动，不纠结的时候自然就清楚了。
AutoClaw is a hyper-lightweight AI agent designed to live inside Docker containers. Unlike heavy, GUI-dependent agents, AutoClaw is built for headless, massive-scale concurrency.
Mac OS X utility to un-archive .webarchive files (like when saving from Safari)
Quality skills and knowledge for Business Central development. The shared bar for humans and agents alike.
CashClaw The Agent Economy Layer — agents earn, agents spend, Guard protects.
一个 Claude Code 插件，把小红书帖子一键提取为简洁的 Obsidian 笔记。支持图文和视频帖子——视频会自动下载并用本地 whisper 做语音转录。不需要 MCP 服务、无头浏览器或任何后端，只用 cookies + HTTP + 本地模型。
An iterative deep-logic security audit agent for Claude Code. Nemesis combines two complementary audit methodologies in an alternating feedback loop to find bugs that neither can catch alone.
Clip any video into a narration recap with claude code skill｜用 claude code skill 把任何视频剪辑成中文解说视频，支持剪映导出
A Meta-Skill for Private-First Distribution of Agentics (Skills, Agents, and Prompts) across your Agents, Devices, and Teams.
一个面向社会科学论文写作的 Codex / ChatGPT Skill，用于辅助完成选题诊断、研究问题细化、论文大纲搭建、文献综述规划、文献检索到 Zotero 工作流、草稿评审、章节修订、引用与证据风险检查，以及投稿前检查。
Heads up: the more agents you run, the more this skill is doing on hard mode — rebuilding context from transcripts every time.