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Reference for OS and Kernel parameter optimization on the QuanuX Edge.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
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.
| name | QuanuX Ansible Engine Tuning |
| description | Reference for OS and Kernel parameter optimization on the QuanuX Edge. |
The QECD pipeline relies on extreme runtime determinism. We DO NOT use Transparent Huge Pages (THP) because background defragmentation and compaction cause jitter that ruins signal processing limits.
/sys/kernel/mm/transparent_hugepage/enabled = neverdefault_hugepagesz=1G hugepagesz=1G hugepages=16
This pre-allocates contiguous memory arrays at boot time for the C++ Omega Decoder so that it can bypass the standard OS memory scheduler constraints.isolcpus=2-7
Pins the Annex core pipelines and Omega C++ NATS event loops strictly to these dedicated cores.Low-latency network buffer optimizations injected into /etc/sysctl.d/99-quanux-gcp.conf:
net.core.rmem_max=16777216net.core.wmem_max=16777216net.ipv4.tcp_low_latency=1net.core.netdev_max_backlog=5000Always execute changes via quanuxctl engine tune --target gcp to ensure deterministic pipeline consistency and dynamic target resolution.