Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
本期系列相关视频如下，按照发布的先后顺序: 主要内容:MCP介绍、MCP功能测试,LLM(支持OpenAI接口风格的大模型)应用程序调用MCP https://www.bilibili.com/video/BV1HBquYbE7t/ https://youtu.be/Jmo7rgb_OXQ 主要内容:使用MCP实现LLM应用程序Text2SQL功能操纵MySQL数据库 https://www.
A mcp server that bridges Dune Analytics data to AI agents.
The AI agentic designer — open-source React design system + MCP that lets Claude, Codex, Cursor & Gemini build production UI in minutes. No AI slop.
Google Ads Agent Skills for Claude — campaign analysis, account auditing, safe write ops, PPC math, and MCP server integration
Agent Skills
SD 2.5 Prompt 是一套面向 Seedance 2.5 / SD 2.5 视频生成的实用 Skill。它不依赖冗长术语，用五个部分统一处理产品广告、人物动作、原片反推、多模态参考、音乐节奏和复杂打斗。
A prompt-based pipeline for finding, validating, and proving vulnerabilities using LLM sub-agents — structured to resist false positives.
Deutsch | Español | français | 日本語 | 한국어 | Português | Русский | 中文
A library of (SKILL.md + optional references/) covering 3 kinds (persona / tool / workflow) across 60+ domains.
DSH 插件，在 Web 设置页同时提供「技能」与「MCP」两个管理面板，并随包提供统一终端命令 dsh-panel（skill / mcp 两个子命令族）。
Bring Codex, Claude Code, Cursor, Gemini CLI, OpenCode, or your own agent. ContentOS is a workflow and data contract, not a model, vendor, or CLI-specific application.
A coding agent on par with Claude Code; as a personal assistant, lighter than OpenClaw — one MIT-licensed Go binary, no Node / Python / Ruby, running on (DeepSeek, Kimi, Anthropic, OpenAI, or...
A production-grade Claude Code configuration: skills, agents, hooks, rules, and permissions working as a system, not as isolated features.
is a fluent C# markup library for .NET MAUI: build your entire UI in pure C# — no XAML. Every bindable property of every MAUI control gets a chainable extension method with the same name, and every...
A framework-agnostic skill system for AI agents that implements - a powerful pattern for managing context efficiently.
一个帮助你把个人经历、工作经验和信息差，转化成可验证、能上架的小红书虚拟产品方向的 Skill。
Use the same skills and agents on your work laptop, personal machine, servers, and whichever AI tools you use. Put the setup in a repo when you want to share it with a team.