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QuanuX
QuanuX에는 quantDIY에서 수집한 skills 39개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.
이 저장소의 skills
Reference for OS and Kernel parameter optimization on the QuanuX Edge.
Reference for using the QuanuX Control CLI (quanuxctl).
Official Figma Developer MCP integration for QuanuX. Allows agents to inspect designs, extract variables, and generate code from Figma files.
The authoritative "School of Architecture" for building QuanuX Extensions (Sidecars). Enforces the QXP protocol, Go runtime preference, and privacy-first security model.
Instructions for operating and configuring the SignalR Bridge for TopstepX.
Guidelines for adding functions to the AST translation map for QuanuX-Annex duckdb transpiler
Operating procedures and architecture for the QuanuX-Annex Data Ingestion Engine and NATS JetStream mesh.
The Biological Sovereignty and 16-cycle Neural Singularity execution model for QuanuX.
The Primary Lesson for building Hardware-Enforced Logic Gates via Memory-Mapped L3 Cache Interlocks inside QuanuX.
Expert guidance on QuanuX frontend development, enforcing Backend-Driven UI architecture and high-performance React patterns.
High-Performance C++ Adapter for Clear Street API (OnixS/QuickFIX Dual Engine)
Core architectural pattern and deployment pipeline for building QuanuX-Spreader strategies utilizing the 59ns Lock-Free Dual-Thread loop.
How to operate the C++ Aligned-Memory Backtester from Python (quanuxctl).
Complete specification and operating procedures for the QuanuX Foundry AI code generation engine. Agent instructions for deterministic strategy compilation.
Complete specification and operating procedures for the QuanuX Foundry AI code generation engine. Agent instructions for deterministic strategy compilation.
Python Control Plane (Client Library for C++ Runtime)
Modern C++20 Indicators Library (Lazy Evaluation, Policy-Based)
Guidelines for creating robust Python extension setup.py files that survive CI environments.
Detailed instructions for building, deploying, and managing the Cython Execution Node (Edge Architecture).
Guide for orchestrating QuanuX High-Performance Execution Nodes.
Python bindings for Databento's C++ Historical API.
Custom C++ bindings for DuckDB focusing on fast data ingestion.
Instructions for using the Rithmic Cython Extension (RApiPlus wrapper).
High-performance C++ bindings for Rithmic R | API+.
Instructions for using the TopstepX Cython Extension for trading and market data.
Polyglot (C++/Python) Adapter for IBKR TWS API. Requires SDK Injection.
Guide for developing and operating the QuanuX Statistics & Research Node.
Usage and architecture of the QuanuX High-Frequency Trading Statistics Engine.
Ultra-Low Latency FIX Adapter for Interactive Brokers with 'Turbo' capabilities.
Protocol for securely integrating the OnixS High-Performance FIX Engine into QuanuX via local injection.
Python client for the IBKR Client Portal (CP) Web API.
High-performance Financial Information eXchange (FIX) engine for electronic trading.
Expert, immutable guidance on the QuanuX mobile ecosystem. Strict enforcement of the Figma-to-Code loop, NativeWind v4, and the Design Library verification process.
Ultra-low latency C++ execution engine ("Hyper-Node") for high-frequency trading strategies.
Guide for connecting Local/Embedded AI Models (Ollama, Llama.cpp) to QuanuX C++ Engine.
Instructions for maintaining the QuanuX polyglot project structure and IDE integrations (VSCode, CLion, Xcode, Spyder).
Instructions for operating the QuanuX Universal Runner (quanux_runner) for Live Trading and Offline Backtesting.
Specialized knowledge for developing the QuanuX Rithmic Extension. Covers Protocol Buffers, 2-step Login, and Go implementation details.
A simple greeting skill to verify the Agent Skills implementation.