Claude Skill

wanikua/danghuangshang

Complete tutorial for building an AI court simulation with multi-agent collaboration. Learn workflow automation and AI orchestration using TypeScript, featuring ancient Chinese imperial themes.

Overview

Stars2,696
Forks253
LanguageTypeScript
Last pushed2026-05-22
Last synced2026-07-03
View on GitHub

Repository

Ownerwanikua
Repositorydanghuangshang
Full namewanikua/danghuangshang
Repo ID1,164,125,099

Install this Skill

git clone https://github.com/wanikua/danghuangshang.git

Registry

Typeopenclaw_skill
Quality score85/100
Verificationreadme_parsed
Last verified2026-05-31
Platforms
ClaudeOpenClaw
Capabilities
code-reviewmemorysearchimageterminalworkflowaiai-agentsai-collaborationai-court
Detected files
README.mdREADME_EN.mddocker-compose.ymldocspackage.jsontests
Config keys
BOLUO_AUTH_TOKENPACKAGE_JSON

Summary

A comprehensive tutorial for building an AI court simulation, guiding users from zero to advanced implementation. This project demonstrates multi-agent collaboration and workflow automation using TypeScript, with themes inspired by ancient Chinese imperial administration.

Chinese description

AI 朝廷搭建完整教程 - 从零基础到精通

Key features

  • Complete tutorial from basics to advanced
  • Multi-agent AI collaboration system
  • Ancient Chinese imperial court theme
  • TypeScript implementation
  • Workflow automation demonstration
  • Discord bot integration

Use cases

  • Learning AI agent orchestration
  • Building multi-agent simulations
  • Creating themed AI applications
  • Educational tutorial projects
  • Workflow automation examples
  • Discord bot development

README excerpt

[![MseeP.ai Security Assessment Badge](https://mseep.net/pr/wanikua-danghuangshang-badge.png)](https://mseep.ai/app/wanikua-danghuangshang) [English Version](./README_EN.md) | [日本語版](./README_JA.md) | [🏢 企业版 Become CEO (English)](https://github.com/wanikua/become-ceo) | [🔧 天工开物 TianGong (Terminal版)](https://github.com/wanikua/tiangong) | [🌐 官网](https://danghuangshang.com) | [📚 完整文档](./docs/README.md) > **⚠️ 维权声明 / Originality Notice** > > 本项目是「三省六部 × OpenClaw」架构的 **首发作品**,架构设计、角色功能映射、目录结构均为本项目原创。时间线: > - **2025-02-20**:小红书首发教程 > - **2025-02-22**:GitHub 完整教程发布 > > **📋 已知侵权**:[Edict](https://github.com/cft0808/edict) 项目结构与本项目高度相似,未注明引用任何出处。经多次沟通,作者拒绝标注原创出处。 > > 🔗 [原创证据链 & 维权文章](./docs/originality.md) > > **🤝 欢迎共创**:本项目是MIT License,欢迎 PR 贡献、Fork 二次开发。但请**注明出处**并保留License。 > 这是开源社区的基本礼仪,也是对每一位贡献者的尊重。 <!-- SEO 关键词 / Keywords:三省六部、明朝、六部制、司礼监、内阁、都察院、翰林院、兵部、户部、礼部、工部、刑部、吏部、AI朝廷、AI Agent、多Agent协作、人工智能管理、古代治国、现代管理、组织架构、OpenClaw、multi-agent、ancient-china --> <p align="center"> <img src="./images/boluobobo-mascot.png" alt="菠萝菠菠 mascot" width="120" /> </p> # 🏛️ 当皇上 ✖️ OpenClaw ### 一行命令起王朝,三省六部皆AI。千里之外调百官,万事不劳御驾亲。 > **以明朝内阁制为蓝本,用 [OpenClaw](https://github.com/openclaw/openclaw) 框架构建的多 Agent 协作系统。** > 一台服务器 + OpenClaw = 一支 7×24 在线的 AI 朝廷。 <p align="center"> <img src="https://img.shields.io/badge/架构-明朝内阁制-gold?style=for-the-badge" /> <img src="https://img.shields.io/badge/框架-OpenClaw-blue?style=for-the-badge" /> <img src="https://img.shields.io/badge/Agent-18+-green?style=for-the-badge" /> <img src="https://img.shields.io/badge/Skill-60+-orange?style=for-the-badge" /> <img src="https://img.shields.io/badge/部署-5分钟-red?style=for-the-badge" /> </p> <div align="center"> ### 👑 一键登基 **方式一:本地安装(推荐)** ```bash git clone https://github.com/wanikua/danghuangshang.git cd da

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Data from GitHub. Synced on 2026-07-03