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
SkillRadar discovers public SKILL.md files, parses their real contents, performs conservative static security checks, ranks candidates, bundles an offline registry, and routes tasks to relevant...
A comprehensive platform engineering solution that provides application modernization blueprints, GitOps patterns, and developer self-service capabilities on Amazon EKS.
Claude Code Plugin: Fully autonomous production-grade SaaS pipeline — 14 bundled skills, CEO/CTO command-driven, single install
Signpost → the 16 SEO/GEO agent skills live in aaron-marketing-skills; this repo's standalone 20-skill line is preserved at tag v9.9.12. Install: npx skills add aaron-he-zhu/aaron-marketing-skills
The workflow for disciplined slide generation. Extract design, plan the deck, render with consistency.
Generate GPT images from Codex or Claude Code using a ChatGPT subscription, without the Images API.
一个开源的，专注于提示词管理的平台 / An open-source platform focused on prompt management
Reusable AI coding agent skills for building voice AI with LiveKit
A complete catalog of Agent Skills (agentskills.io) for Zephyr RTOS development.
Agent skills for LandingAI's Agentic Document Extraction (ADE) — production-ready document AI for agentic coding assistants
Map, inspect, and audit AI-agent markdown ecosystems (skills, agents, commands, hooks) as a graph.
大模型技术快速演进，正在改变 CTF 与代码审计的传统工作方式。当前模型对源码的理解能力已经相当成熟，不少团队已将 LLM 引入 CTF 解题、Web 代码审计与漏洞挖掘流程。