Claude Desktop インストールガイド
ローカル MCP 設定に対応するデスクトップクライアント。
MCP Servers
Open-source, local-first memory and context for AI agents. One memory store, every agent.
built by an autonomous agent · sibyl labs llc
Google Ads Agent Skills for Claude — campaign analysis, account auditing, safe write ops, PPC math, and MCP server integration
An MCP Server implementation that integrates the Brave Search API, providing, Web Search, Local Points of Interest Search, Video Search, Image Search, News Search and LLM Context Search capabilities
开源 AI 低代码平台：.NET 10 + Vue 3 + Redis，以 V8 引擎连接 AI 编程、可视化建模与企业级交付。 支持 VS Code / Codex / Copilot / Cursor / Claude + MCP + Skills，本地或在线开发，保存即生效。
Persistent, local, cross-IDE memory for AI agents — markdown source of truth, LanceDB-powered semantic search, zero cloud dependency
开源金融数据 MCP / HTTP 服务，面向 AI Agent、量化脚本和普通后端集成。
An MCP server for exploring Israeli government open data (data.gov.il) — with built-in interactive visualizations powered by MCP Apps.
Search a codebase by meaning, then follow the result into definitions, callers, and dependency paths.
Agent Skills
FastCRUD is a Python package for FastAPI, offering robust async CRUD operations and flexible endpoint creation utilities.
Claude Code for Financial Market
Add expert Swift Concurrency guidance to your AI coding tool (Agent Skills open format): safe concurrency, performance optimization, and Swift 6 migration.
xiaohongshu-skills
A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.
My profile & the agent skills I created
Agent skills for useful HTML artifacts, wireframes, interactive prototypes, plans, and diagrams.
Follow this guide to create an adapter and submit a PR with it.
CyberPPT 是一个 Codex Skill，用于把文档、研究材料和业务数据转化为高密度、可编辑、咨询风格的 PowerPoint 演示文稿。
A passive recording project allows you to have complete control over your data. Automatically take screenshots of all your screens, index them, and save them locally.
Hundreds of agent skills for medical research, including protocol design, data analysis, evidence insights, and academic writing.
ShinkaEvolve : Towards Open-Ended and Sample-Efficient Program Evolution 🧬