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Hire a private AI tutor for anything — it reads how you actually learn and teaches the next lesson just for you. Bloom's 2-Sigma research as a Claude Code skill + self-hostable web app · 中文优先 苏格拉底式…
DeepTutor: Agent-native Personalized Tutoring. https://deeptutor.info/.
Open Multi-Agent Interactive Classroom — Get an immersive, multi-agent learning experience in just one click
为学生打造的 Obsidian 知识库模板，包含 15 个精选插件、9 款热门主题和完整的使用教程
Claude Code + OpenClaw + Codex 中文教程 | 39篇完整教程 + 1张速查卡 | 80万+内容量 | 1500+实操示例 | AI Coding / Agent 三线学习路径
A curated list of awesome skills, hooks, slash-commands, agent orchestrators, applications, and plugins for Claude Code by Anthropic
Huashu Design · HTML-native design skill for Claude Code · Claude Code 里 HTML 原生的设计 skill · 高保真原型 / 幻灯片 / 动画 + 20 设计哲学 + 5 维评审 + MP4 导出 · Agent-agnostic
你想蒸馏的下一个员工，何必是同事。蒸馏任何人的思维方式——心智模型、决策启发式、表达DNA。Distill how anyone thinks.
A visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value.
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation
[Lumina具身智能社区] 具身智能技术指南 Embodied-AI-Guide
The Prometheus monitoring system and time series database.
ZeroSearch: Incentivize the Search Capability of LLMs without Searching
An AI prompt optimizer for writing better prompts and getting better AI results.
Easy Data Preparation with latest LLMs-based Operators and Pipelines.
100+ AI Agent & RAG apps you can actually run — clone, customize, ship.
基于Dify自主创建的AI应用DSL工作流，你可以免费获取，无论是出于个人需求还是学习目的，它都能为您开启一段充满无限可能的智能之旅。
Dify Schedule. 免费的Dify工作流定时助手，支持多渠道发送通知. A free automated scheduling solution for Dify, powered by GitHub Actions.
分享一些好用的 Dify DSL 工作流程，自用、学习两相宜。 Sharing some Dify workflows.
Your API ⇒ Paid MCP. Instantly.
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience
A modular graph-based Retrieval-Augmented Generation (RAG) system
PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generation