Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
mori MCP server — a governed memory layer for AI coding agents.
Bring your AI to life—talk to assistants instantly in your browser. Compatible with Claude Desktop, OpenCode, and other MCP-enabled AI tools.
Your AI assistant now remembers everything. Forever. Across every conversation.
An MCP server that converts a layered PSD character into a Spine 4.2 project — skeleton JSON, texture atlas, and atlas page PNG(s) — ready to import into the Spine editor and Unity.
Overleaf CLI - pull, push, sync, compile LaTeX projects from your terminal. Git remote helper, MCP server for AI agents, and TypeScript library.
The open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more.
Agent Skills
Spotkit — a Claude Code skill that turns a feature description into minimal, abstract SVG product illustrations that all belong to one design system.
AIコーディングツール（Claude Code / Codex CLI / Grok CLI など）を、継続的なパーソナルアシスタントとして使うためのスターターキットです。初回起動時に対話形式で設定を作り、以後はファイルに残した記憶・ルール・スキルを読みながら動きます。
ClawWork: OpenClaw as Your AI Coworker 💰 $19K in 8 Hours — AI Coworker for 44+ Professions | Technology & Engineering | Business & Finance | Healthcare & Social Services | Legal, Media & Operations...
一份通俗易懂、风趣幽默的Java学习指南，内容涵盖Java基础、Java并发编程、Java虚拟机、Java企业级开发、Java面试等核心知识点。学Java，就认准二哥的Java进阶之路😄
Open Multi-Agent Interactive Classroom — Get an immersive, multi-agent learning experience in just one click
PaperSpine is a motivation-driven skill for learning from strong academic papers, building a paper’s central argument, and rewriting manuscripts through evidence-aware blueprints, revision matrices,...
Claude Desktop Chinese Patch (macOS & Windows)
🏛️ 三省六部制 · OpenClaw Multi-Agent Orchestration System — 9 specialized AI agents with real-time dashboard, model config, and full audit trails
Machine Learning Engineering Open Book
Inspired by how brains learn. Meta-learn and evolve your 🦞 from every conversation in the wild. No GPU required.
From HLS and RTL to timing closure — with skills built for agent-driven FPGA work. AMD Vivado / Vitis engineering skills · Multi-agent design-space exploration
Edit videos with coding agents