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☀️ CSQuest

A multi-language development environment with integrated 408 Postgraduate Entrance Exam review system, powered by AI agent skills and knowledge graph MCP.

Core: Computer Science 408 (Data Structures, Computer Organization, OS, Computer Networks)


📦 Project Structure

/workspace
├── .agent/                    ← AI agent assets (skills, MCP, commands, rules)
│   ├── mcp/knowledge-graph/   ← Knowledge Graph MCP (Qwen3 Chinese embedding)
│   ├── skills/                ← 6 community skills for 408 review
│   ├── commands/review408.md  ← /review408 unified entry
│   └── rules/                 ← 408-learning-loop methodology & git commit msg
├── .atomcode/                 ← AtomCode config (symlinks pointing to .agent/)
├── .mcp.json                  ← MCP server registration
├── 408/                       ← 408 exam methodology & notes
│   ├── learning-loop-system.md  ← Core methodology v5.5
│   └── README.md                ← Subject overview & progress
├── scripts/                   ← One-click setup scripts
│   └── setup-408.sh           ← Install all skills & MCP
├── BigData/                   ← Big Data notes
├── Blockchain/                ← Blockchain notes
├── Python/                    ← Python exam notes
├── Tools/                     ← Git & other tools
└── docs/                      ← Additional docs

🧠 408 Review System

A complete, battle-tested exam preparation methodology for the 408 Postgraduate Entrance Exam (Computer Science, 150 pts).

6 AI Skills

Skill Source Purpose
book-study sanyuan0704/sanyuan-skills Reading coach: Socratic testing, knowledge compilation, spaced repetition
excalidraw NousResearch/hermes-agent Hand-drawn concept structure diagrams
mermaid-diagrams softaworks/agent-toolkit Data flow diagrams (class, sequence, flow, ER, C4, etc.)
quiz-maker OneWave-AI/claude-skills Auto quiz generation & grading (A/B/C classification)
memento-flashcards NousResearch/hermes-agent Spaced repetition flashcard system (local JSON)
baoyu-infographic NousResearch/hermes-agent Infographic generator (21 layouts × 21 styles)

Knowledge Graph MCP

Feature Detail
Engine ChenLiangChong/knowledgeGraph
Embedding Qwen3-Embedding-0.6B (Chinese #1 on MTEB, 560MB, local ONNX)
Storage SQLite + sqlite-vec + FTS5
Tools 12 MCP tools: store, connect, search, traverse, maintain
Hooks 6 auto hooks: recall, capture, decay, repair, correct, enforce
Decay CortexGraph two-component × FSRS stability (Anki-derived)
Search Hybrid: vector + keyword + graph + memoryScore

Quick Start

# One-click setup (installs all skills + MCP)
bash /workspace/scripts/setup-408.sh

# Start the knowledge graph MCP server
cd /workspace/.agent/mcp/knowledge-graph && node main.js

# Then in AtomCode session:
/review408 学习 Cache     → Start learning a topic
/review408 做题 页表       → Practice with quizzes
/review408 缝合 Cache 页表 → Cross-subject stitching
/review408 规划            → Today's study plan
/review408 瓶颈            → Find the bottleneck

🛠️ Development Environment

Component Version Verify
☕ Java OpenJDK 21 java --version
⚡ C++ g++-14 (C++20) g++ --version
🔧 C gcc-14 (C17) gcc --version
🐍 Python 3.12 + numpy + pandas python --version
📦 Git (built-in) git --version
🐳 Docker (built-in) docker --version
💻 VS Code code-server -
🟢 Node.js v22.23.1 node --version
🔵 uvx 0.11.25 uvx --version

📚 Notes


☀️ Built for Cloud Native Development & 408 Exam Preparation

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