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
The coding-agent skills Zapier GTM teams use to turn scattered context into reviewable work products.
OpenBKN is an ontology-driven business knowledge network platform. Through ontology modeling, it turns the data and logic scattered across documents, systems, processes, rules, and expert experience...
— wired for Claude, Cursor, Codex, and Copilot, with NVIDIA SkillSpector gating and a skills.lock provenance file.
Agent skill that mines your repo's history to draft a VISION.md, stress-tests it with hard hypotheticals, and iterates with you on an interactive review board.
Turn any codebase into a navigable , then use that handbook to help a code agent find every place a change needs to touch.
World-class Android pentesting skill for AI agents. It combines static analysis, dynamic instrumentation, RASP detection, authorized bypass validation, source-to-sink tracing, MASVS scoring, and...
AMD Skills provide agents with knowledge, scripts, and conventions for working with AMD hardware and software.
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像 vibe coding 一样编辑你的简历：告诉 AI 你想怎么改，它直接修改网页简历，再一键导出为 PDF。
PersianTools provides Jalali (Shamsi) dates and datetimes that work just like Python's datetime — plus handy tools for Persian text: digit conversion between Persian, Arabic, and English, character...
A library of Agent Skills for , covering the full testing surface that an Android engineer touches, from unit-test fundamentals to ADB-driven E2E.
它不只帮你写“电影感、高清、光影漂亮”。 它会先判断这段素材是谁拍的，用什么设备拍的，在哪个年代拍下来的，再把设备缺陷、自然失误、环境声音和时间轴写进提示词。