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Rnd Cockpit Architect

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chendongqi
rnd-cockpit-architect

智能座舱架构设计专家 - 精通车载软件架构、SOA 服务化架构、跨域融合、车机系统开发。适用场景:(1) 座舱域控架构设计,(2) SOA 服务化架构,(3) HMI 人机交互架构,(4) 多屏互联方案,(5) 车云一体架构,(6) AUTOSAR AP/CP 架构,(7) 功能安全设计 (ISO 26262),(8) 信息安全设计,(9) 车载中间件选型 (SOME/IP, DDS)

Overview

Publisherchendongqi
RepositoryOPB-Skills
Skill namernd-cockpit-architect
Stars
133
Forks
25
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by chendongqi on GitHub. Read the source before you install it.

Installation

Install the Rnd Cockpit Architect AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/chendongqi/OPB-Skills/tree/main/skills/rnd-cockpit-architect
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/chendongqi/OPB-Skills.git /tmp/OPB-Skills
mkdir -p .claude/skills
cp -r /tmp/OPB-Skills/skills/rnd-cockpit-architect .claude/skills/rnd-cockpit-architect
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Rnd Cockpit Architect in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Rnd Cockpit Architect on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Rnd Cockpit Architect is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

智能座舱架构设计师

核心专长

座舱域控架构

┌─────────────────────────────────────────────────┐
│  HMI Layer                                       │
│  ┌─────────┐ ┌─────────┐ ┌─────────┐           │
│  │   Qt    │ │ Android │ │   Web   │           │
│  └─────────┘ └─────────┘ └─────────┘           │
├─────────────────────────────────────────────────┤
│  Application Services (SOA)                      │
│  ┌──────┐ ┌──────┐ ┌──────┐ ┌──────┐ ┌──────┐ │
│  │Media │ │ Navi │ │Voice │ │ ADAS │ │Phone │ │
│  └──────┘ └──────┘ └──────┘ └──────┘ └──────┘ │
├─────────────────────────────────────────────────┤
│  Platform Services                               │
│  ┌──────────┐ ┌──────────┐ ┌──────────┐        │
│  │ SomeIP/  │ │   DDS    │ │ Vehicle  │        │
│  │ DDS GW   │ │  Router  │ │  Signal  │        │
│  └──────────┘ └──────────┘ └──────────┘        │
├─────────────────────────────────────────────────┤
│  Hypervisor (QNX / Linux / Android Automotive)  │
├─────────────────────────────────────────────────┤
│  Hardware (SoC: 8155 / 8295 / Orin)             │
└─────────────────────────────────────────────────┘

SOA 服务化架构

服务分类
类型描述示例
原子服务不可再分的基础能力车窗控制、空调温度设置
组合服务多原子服务编排一键离车模式、迎宾模式
场景服务面向用户场景疲劳驾驶提醒、儿童模式
服务接口设计原则
1. 接口幂等性: 重复调用结果一致
2. 版本管理: 接口向后兼容
3. 超时处理: 明确超时时间和重试策略
4. 错误码规范: 统一错误码体系

通信中间件选型

场景推荐方案特点
域内高频数据DDS (Fast-DDS/CycloneDDS)发布订阅、QoS保障
跨域服务调用SOME/IP请求响应、服务发现
云端通信MQTT / HTTP/2轻量、穿透NAT
诊断通信DoIP / UDS标准协议、诊断仪兼容
安全通信SecOC消息认证、防重放

多屏互联架构

┌──────────┐    ┌──────────┐    ┌──────────┐    ┌──────────┐
│  中控屏   │    │  仪表屏   │    │   HUD    │    │  副驾屏  │
│(Android) │    │  (QNX)   │    │ (RTOS)   │    │(Android) │
└────┬─────┘    └────┬─────┘    └────┬─────┘    └────┬─────┘
     │               │               │               │
     └───────┬───────┴───────┬───────┴───────┬───────┘
             │               │               │
        ┌────┴────┐    ┌─────┴─────┐   ┌─────┴─────┐
        │ Display │    │  Surface  │   │  Content  │
        │Composer │    │  Flinger  │   │  Router   │
        └────┬────┘    └─────┬─────┘   └─────┬─────┘
             │               │               │
             └───────────────┴───────────────┘
                         │
                  ┌──────┴──────┐
                  │  渲染引擎    │
                  │ (Kanzi/Qt)  │
                  └─────────────┘

功能安全设计 (ISO 26262)

ASIL 等级划分
等级功能安全要求
ASIL-D仪表关键显示(车速、档位、告警)最高安全完整性
ASIL-B倒车影像、360环视、DMS中等安全完整性
QM娱乐、导航、第三方应用质量管理
安全机制设计
┌─────────────────────────────────────────┐
│  监控层                                  │
│  Watchdog → 心跳检测 → 故障上报          │
├─────────────────────────────────────────┤
│  隔离层                                  │
│  Hypervisor → VM隔离 → 资源配额          │
├─────────────────────────────────────────┤
│  恢复层                                  │
│  快速重启 → 降级策略 → 安全状态切换       │
└─────────────────────────────────────────┘

车云一体架构

┌─────────────────────────────────────────────┐
│                 云端平台                     │
│  ┌─────────┐ ┌─────────┐ ┌─────────┐       │
│  │ OTA中心 │ │ 大数据  │ │ AI训练  │       │
│  └────┬────┘ └────┬────┘ └────┬────┘       │
│       │           │           │             │
│  ┌────┴───────────┴───────────┴────┐       │
│  │         消息中心 (Kafka)         │       │
│  └────┬───────────┬───────────┬────┘       │
└───────┼───────────┼───────────┼─────────────┘
        │   MQTT    │   HTTP    │
        ▼           ▼           ▼
┌─────────────────────────────────────────────┐
│                 车端网关                     │
│  ┌─────────┐ ┌─────────┐ ┌─────────┐       │
│  │  T-Box  │ │ 数据脱敏│ │ 边缘计算│       │
│  └─────────┘ └─────────┘ └─────────┘       │
└─────────────────────────────────────────────┘

AUTOSAR 架构选型

类型适用场景特点
AUTOSAR CPMCU、实时控制静态配置、确定性
AUTOSAR AP高性能计算、服务化动态部署、POSIX

输出规范

座舱架构文档应包含:

  • 系统框图(域控视角)
  • 服务目录与接口定义 (IDL)
  • 通信矩阵(信号流向)
  • 多屏显示策略
  • 功能安全分析 (FMEA/FTA)
  • 信息安全威胁分析 (TARA)
  • 性能 KPI(冷启动 < 3s、热启动 < 1s、触控响应 < 100ms)
  • 功耗预算与热设计

Frequently asked questions

What does the Rnd Cockpit Architect AI skill do?

智能座舱架构设计专家 - 精通车载软件架构、SOA 服务化架构、跨域融合、车机系统开发。适用场景:(1) 座舱域控架构设计,(2) SOA 服务化架构,(3) HMI 人机交互架构,(4) 多屏互联方案,(5) 车云一体架构,(6) AUTOSAR AP/CP 架构,(7) 功能安全设计 (ISO 26262),(8) 信息安全设计,(9) 车载中间件选型 (SOME/IP, DDS)

Why use Rnd Cockpit Architect on TypingMind?

Because you install it once and use it with any model. Rnd Cockpit Architect is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Rnd Cockpit Architect in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/chendongqi/OPB-Skills/tree/main/skills/rnd-cockpit-architect. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Rnd Cockpit Architect?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Rnd Cockpit Architect?

As many as you like. As long as a model supports skills, you can use Rnd Cockpit Architect with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Rnd Cockpit Architect AI skill free?

It is published on GitHub by chendongqi. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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