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LeoLin990405/README.md

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About Me | 关于我

name: "Zhongyue Lin (Leo) | 林中岳"
location: "China"
role: "Interdisciplinary AI Researcher & Agent Architect"

education:
  degree: "Data Science & Analytics"
  research_interests:
    - "Institutional Design → AI Orchestration"
    - "Behavioral Economics → Agent Decision-Making"
    - "Political Science → Multi-Agent Governance"
    - "Organization Theory → Agent Team Patterns"

current_focus:
  writing: "Interdisciplinary AI Blog (CivAgent Series)"
  building: "Multi-AI Collaboration Infrastructure"
  creating: "xiaotie - Lightweight AI Agent Framework"
  maintaining: "10+ Claude Code Open Source Skills"
  researching: "Historical Polities as Agent Design Patterns"

languages: ["中文 (Native)", "English (Fluent)"]
philosophy: "5000 years of institutional wisdom → AI architecture"

What I Do | 我做什么

Interdisciplinary AI Researcher — I map patterns from political science, behavioral economics, and organizational theory onto AI multi-agent architectures. My CivAgent series demonstrates how 5,000 years of institutional design — from Tang Dynasty quality gates to Athenian distributed consensus — directly inform modern agent orchestration patterns.

Multi-AI Architect — I build systems that make 9+ AI providers (Claude, GPT, Gemini, DeepSeek, Kimi, Qwen...) collaborate as unified agent teams. From smart task routing to inter-agent communication pipelines.

Open Source Creator — I build and maintain the largest Claude Code Skills ecosystem with 10+ packages, and contribute to multi-AI collaboration infrastructure used by developers worldwide.


Interdisciplinary Research | 跨学科研究

"History is not just the past — it is a living fossil of organizational wisdom." 历史不只是过去的事,它是组织智慧的活化石。

My research bridges humanities and social sciences with AI systems engineering:

Discipline Theory Source AI Application Blog Series
History Tang 3-Department System, Persian Satrapies Quality gates, eventual consistency CivAgent
Political Science 57 polities, 6 governance modes Multi-agent orchestration patterns CivAgent
Behavioral Economics Kahneman's Dual-System Theory Fast/slow agent routing, bias mitigation Standalone
Organization Theory Simon's Bounded Rationality Satisficing strategies, near-decomposability Standalone

Featured Projects | 重点项目

57-Civilization → 6 AI Orchestration Modes 57 种政体 → 6 种 AI 编排模式

Research History AI

7-part bilingual essay series mapping 5,000 years of political institutions to AI multi-agent architecture patterns. From Tang Dynasty quality gates to Athenian distributed knowledge aggregation.

Key Mappings:

  • Tang 3-Dept → Pipeline quality gates
  • Ming Dual-Track → N-version programming
  • Athens Democracy → Distributed consensus
  • Persian Satrapies → Eventual consistency

Multi-AI Collaboration Infrastructure 多 AI 协作基础设施

Python Gateway Agent Teams

Core contributor to CCB — a bridge between Claude Code and 9+ AI providers. I implemented the Agent Teams system (4 phases): agent aliases, team config, smart task routing, and inter-agent communication.

My Contributions:

  • Agent name alias system (a/b/c/d mapping)
  • Team config with role/skill definitions
  • Smart routing (keyword + skill matching, CN/EN)
  • Inter-agent messaging (--to, --broadcast, --chain)

Lightweight AI Agent Framework 轻量级 AI Agent 框架

Python LLM Agent

A minimal yet powerful agent framework. Build autonomous AI agents that can reason, plan, use tools, and execute multi-step tasks — all with clean, readable code.

Key Features:

  • Minimal footprint, maximum capability
  • ReAct loop (Reason -> Act -> Observe)
  • Extensible tool system
  • Built-in memory & context management
  • Multi-LLM backend support

The Largest Claude Skills Ecosystem 最大的 Claude Code 技能生态

Skills Open Source

10+ open-source skill packages extending Claude Code:

Package Description
r-analytics 93 R data analysis skills
lenny-skills 86 PM skills
office-skills PDF/DOCX/PPTX/XLSX
design-skills Art & UI design
obsidian-skills Note-taking
ccb-skills Multi-AI collab

Multi-AI Desktop Platform 智能多 AI 协作桌面平台

TypeScript Electron React

Full-featured Electron desktop app that intelligently routes tasks to 9+ AI providers. Features agent teams orchestration, MCP protocol support, smart task routing, and real-time collaboration.

AI Usage Stats for macOS macOS AI 使用统计工具

Swift macOS

Native macOS menu bar app showing real-time usage statistics for OpenAI Codex and Claude Code — without needing to log in. Quick access to token usage, costs, and rate limits right from your menu bar.


Tech Stack | 技术栈

Languages | 编程语言

TypeScript Python JavaScript R Swift SQL Shell

AI / LLM / Agent

Claude OpenAI Gemini MCP DeepSeek Ollama

Frontend & Desktop

React Electron TailwindCSS Vite

Backend & Data

Node.js Express PostgreSQL SQLite

DevOps & Tools

Git Docker GitHub Actions macOS Obsidian


Latest Blog | 最新博文

Blog

Standalone Essays | 独立文章

Essay Discipline Key Insight
Dual-System Theory and AI Agents Behavioral Economics Kahneman's System 1/2 → fast/slow agent routing, cognitive biases as failure modes
Herbert Simon and AI Agent Design Organization Theory Bounded rationality, satisficing, near-decomposability → agent architecture

CivAgent Series | CivAgent 系列 (7 Parts)

Mapping 5,000 years of political institutions to AI multi-agent architectures — 57 polities, 6 orchestration modes.

# Essay History AI Pattern
1 Why AI Orchestration Needs History 5000 years of polities Design pattern library
2 Six Orchestration Modes 57 political systems 6 agent topologies
3 Tang Dynasty Three Departments Draft → Review → Execute Pipeline quality gates
4 Ming Dynasty Dual-Track Inner Court vs Outer Court N-version programming
5 Athenian Democracy Ecclesia + Boule + Dikasteria Distributed knowledge aggregation
6 Persian Satrapies 23 satrapies + Royal Road Eventual consistency protocols
7 Theory Bridge & Implementation Cross-disciplinary synthesis Full architecture blueprint

GitHub Stats | 数据统计



GitHub Trophies | 成就奖杯


Philosophy | 理念

"Thinking, fast and slow — the same duality that governs human cognition should govern AI agent architectures." — inspired by Daniel Kahneman

快与慢的思考——支配人类认知的同一种二元性,也应当支配 AI 智能体的架构设计。


Let's Connect | 联系我



If you find my projects useful, consider giving them a star!

如果觉得我的项目有用,请给个 Star 支持一下!


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