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AI Agent 教学仓库 | 系统化 LangChain、RAG、LangGraph、MCP 全栈实战代码 | 万字博客详解 | 开源可运行示例 | 从零构建智能体
Skills for Real Engineers. Straight from my .claude directory.
🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman
A unified AI model hub for aggregation & distribution. It supports cross-converting various LLMs into OpenAI-compatible, Claude-compatible, or Gemini-compatible formats. A centralized gateway for p…
Chrome DevTools for coding agents
将冰冷的离别化为温暖的 Skill，欢迎加入数字生命1.0！Transforming cold farewells into warm skills? It's giving rebirth era. Welcome to Digital Life 1.0. 🫶
Visual testing tool for MCP servers
Model Context Protocol (MCP) server for Kubernetes and OpenShift
The missing DevTools for Claude Code — inspect session logs, tool calls, token usage, subagents, and context window in a visual UI. Free, open source.
[ICCV2025] LHM: Large Animatable Human Reconstruction Model from a Single Image in Seconds
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflo…
A distributed task scheduling framework.（分布式任务调度平台XXL-JOB）
Legacy-Mess Detector – assess the “legacy-mess level” of your code and output a beautiful report
Apache RocketMQ is a cloud native messaging and streaming platform, making it simple to build event-driven applications.
Java 面试 & 后端通用面试指南，覆盖计算机基础、数据库、分布式、高并发、系统设计与 AI 应用开发
Spring Boot Rest CRUD API example - Spring Data JPA to interact with MySQL/PostgreSQL database.
SGLang is a high-performance serving framework for large language models and multimodal models.
A high-throughput and memory-efficient inference and serving engine for LLMs
A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
Janus-Series: Unified Multimodal Understanding and Generation Models