Will 保哥整理的最佳 GitHub Copilot 設定

directory for Awesome MCP Servers

An opinionated toast component for React.

OpenAPI React Query Codegen is a code generator for creating React Query (also known as TanStack Query) hooks based on your OpenAPI schema.

orval is able to generate client with appropriate type-signatures (TypeScript) from any valid OpenAPI v3 or Swagger v2 specification, either in yaml or json formats. 🍺

Building a modern alternative to Salesforce, powered by the community.

A web scraper app built with Playwright and React

DeepSRT public roadmap

Collection of Nextjs Components

A Simple Portfolio made with Nextjs and Shadcn UI

《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing

Prompt-To-Agent : Create custom engineering agents for your codebase

Master programming by recreating your favorite technologies from scratch.

The official Typescript SDK for Model Context Protocol servers and clients

Set of React components for PDF annotation

It's like v0 but in your Cursor/WindSurf/Cline. 21st dev Magic MCP server for working with your frontend like Magic

Model Context Protocol Servers

An open source project management platform focused on simplicity and efficiency. Self-host it, customize it, make it yours. 🚀

orangc's wallpaper repository.

UI Library for Design Engineers. Animated components and effects you can copy and paste into your apps. Free. Open Source.

Grab your own sweet-looking '.is-a.dev' subdomain.

Flutter Version Management: A simple CLI to manage Flutter SDK versions.

A JavaScript plugin for entering and validating international telephone numbers. React and Vue components also included.

Everything you need to know to build your own RAG application

Replace 'hub' with 'ingest' in any github url to get a prompt-friendly extract of a codebase

Sky-T1: Train your own O1 preview model within $450

A Python library to inspect and modify the internal structure of a PDF file

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

Vision infrastructure to turn complex documents into RAG/LLM-ready data