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
humanizer, but for code — an agent skill that removes AI-generated code slop: duplicated helpers, try-import fallbacks, broad excepts, speculative abstractions. Test-gated, behavior-preserving.
Compile a GitHub identity into an animated, dark/light, self-hosted profile README.
Claude Code skill for rigorous academic paper writing, revision, and submission. Field-agnostic with per-paper journal overrides.
A framework-agnostic, git-native standard for defining AI agents
科研写作助手 (Research Writing Assistant)
Pi extension for async subagent delegation with truncation, artifacts, and session sharing
One brain, many harnesses. Portable .agent/ folder (memory + skills + protocols) that plugs into Claude Code, Cursor, Windsurf, OpenCode, OpenClaw, Hermes, or DIY Python — and keeps its knowledge...
PhyAgentOS is a Recursive Self-Improving (RSI) physical agent operating system that enables agents to recursively self-improve through agentic workflows.
A skill family for shaping the research storyline of CCF-A papers.
东方编辑部 × 数字山水风交互式知识图谱 — 双击 HTML 文件即可在浏览器中探索。搜索、社区图例、聚焦筛选、节点视觉分层、社区轻量地图、统一社区抽屉、悬停预览、轻量摘要、明确进入阅读、Shift 多选、画布缩放拖拽和小地图定位，全部离线运行，不依赖服务器。
Intelligent prompt optimization for Claude Code. It injects the right context at the right moment - at prompt submit, tool use, and subagent start - so Claude has what it needs before it acts.
Delegate coding to agents. Improve the loop around them.