Simple Admin是一个基于Go Zero开发面向小型到大型项目的分布式微服务后端管理系统脚手架，提供丰富的后台管理功能，支持k8s快速部署，助力快速开发高并发微服务集群，适合学习和商用。Simple Admin is a powerful microservice framework for large management system. It is based on go-zer…

An AI SKILL that provide design intelligence for building professional UI/UX multiple platforms

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📊 Cube Core is open-source semantic layer for AI, BI and embedded analytics

Kafka library in Go

基于idrm template + claude code + spec 的项目的实验。

Simple, reliable, and efficient distributed task queue in Go

Protocol Buffer Validation - replaced by https://github.com/bufbuild/protovalidate

可交互的元素周期表，看查看每个元素的详细信息

Model Context Protocol (MCP) server for go-zero framework - Generate APIs, RPC services, and models with AI assistance.

Build Better Websites. Create modern, resilient user experiences with web fundamentals.

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Enhanced ChatGPT Clone: Features Agents, MCP, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message…

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Database diagrams editor that allows you to visualize and design your DB with a single query.

Intelligent automation and multi-agent orchestration for Claude Code

A curated list of awesome commands, files, and workflows for Claude Code

💫 Toolkit to help you get started with Spec-Driven Development

所有小初高、大学PDF教材。

Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors

Breakthrough Method for Agile Ai Driven Development

Anthropic's Interactive Prompt Engineering Tutorial

Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

A modular graph-based Retrieval-Augmented Generation (RAG) system

Build resilient language agents as graphs.

Iconic font aggregator, collection, & patcher. 3,600+ icons, 50+ patched fonts: Hack, Source Code Pro, more. Glyph collections: Font Awesome, Material Design Icons, Octicons, & more

AgentScope: Agent-Oriented Programming for Building LLM Applications