graph LR
%% 樣式定義
classDef legacy fill:#1a1a1a,stroke:#444,stroke-width:1px,color:#ff4444,stroke-dasharray: 2 2
classDef surgeon fill:#e44d26,stroke:#fff,stroke-width:2px,color:#fff,font-weight:bold
classDef result fill:#1b3d2f,stroke:#2ecc71,stroke-width:3px,color:#2ecc71,font-weight:bold
%% 區域 1: 熵增混亂
subgraph Zone_Legacy ["Chaos Technical Debt"]
A["Legacy Complexity"] --- B["Resource Leaks"]
end
%% 區域 2: AI 智能驅動 (L -> R)
subgraph Zone_Agentic ["Tool Chain"]
direction LR
T1[Agentic] --> T2[MCP / RAG] --> T3[Scalable]
end
%% 區域 3: 最終成果 (Green Circle)
R((High Performance Scalable Assets))
%% 連接邏輯
Zone_Legacy ==> Zone_Agentic
Zone_Agentic ==> R
%% 樣式應用
class A,B legacy
class T1,T2,T3 surgeon
class R result
Focused on scalable architecture, agentic workflows, and market intelligence.
-
Atlas
Assets- 🏛️ Monorepo Collections: Metadata-driven repository governance and technical navigation center.
-
Weaver
NodesMCP- 🕸️ Protocol Hub: Multi-model context protocol (MCP) server nodes and autonomous tool registry.
-
- 🚀 RAG-to-Skill Core: Transforming repository context into actionable, production-ready GitHub Agent skills.
-
- 🧪 Agentic RAG: Advanced experimentation on LLM-driven GitHub automation skills.
Verified professional milestones and atomic identity assets.
- learning
POW- 📖 Learning Sandbox: A monorepo for technical exercises and experiments.
- credentials
POW- 🎓 Proof-of-Work: Curated collection of certifications, credentials, and project highlights.
Credentials page: swlokzk.github.io/credentials/
- AI-driven Refactor Engineering
- Tokenized Intelligence
- Tokenization Economic
(I don't think this direction exists, but it might appear in the future.)
- AI Governance & Tokenized Intelligence (illusionary)
- Data, identity, contribution, and access as tokenized primitives
- AI-mediated systems for decision-making and coordination
- Incentive design, governance, and economic mechanisms
- On-chain and off-chain intelligence workflows
