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Agent Skill · AI 工具

arm-cortex-expert(手臂皮质专家)

arm-cortex-expert 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

arm-cortex-expert 是AI 工具类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证为 MIT,第三方扫描已通过,按安装量在AI 工具类的 2,536 个 Skill 里排第 1,412。

总安装 749周安装 30GitHub Stars 692下载 242核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:arm-cortex-expert(手臂皮质专家)
来源仓库:https://github.com/rmyndharis/antigravity-skills
仓库路径:skills/arm-cortex-expert
安装命令:
npx skills add https://github.com/rmyndharis/antigravity-skills --skill arm-cortex-expert
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/rmyndharis/antigravity-skills --skill arm-cortex-expert

这个 Skill 是做什么的

AI 工具类 Skill 用来扩展助手本身的能力,例如接模型、接检索、接外部服务。

专注于 ARM Cortex 微控制器固件开发与驱动模块编写。提供完整编译方案与硬件抽象层最佳实践指导。适用于嵌入式系统开发中的底层驱动与实时控制逻辑实现。安装方式:通过 npx skills add 命令从指定 GitHub 仓库添加。使用前应确认目标芯片型号与开发环境配置,避免架构不匹配问题。

来源仓库内路径:skills/arm-cortex-expert

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/rmyndharis/antigravity-skills --skill arm-cort…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

arm-cortex-expert 怎么安装?

在终端执行 npx skills add https://github.com/rmyndharis/antigravity-skills --skill arm-cortex-expert。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

arm-cortex-expert 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

arm-cortex-expert 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

arm-cortex-expert 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

arm-cortex-expert 用的人多吗?

公开数据是累计安装 749 次,近一周安装 30 次,下载 242 次,GitHub 692 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

arm-cortex-expert 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理AI 工具类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

AI 工具类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
executing-plans

执行计划 · Codex、Claude

1,515,336173,110只读MIT通过
verification-before-completion

完成前的验证 · Codex、Claude

1,319,472173,121权限未标注MIT通过
subagent-driven-development

子 Agent 驱动开发 · Codex、Claude

1,312,416173,138只读MIT通过
copy-editing

复制编辑 · Codex、Claude

1,209,57625,632只读MIT通过
paywall-upgrade-cro

付费专区升级 cro · Codex、Claude

1,030,17625,617只读MIT通过
arm-cortex-expert

手臂皮质专家 · 本页

749692需要联网MIT通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

@arm-cortex-expert

Use this skill when

  • Working on @arm-cortex-expert tasks or workflows
  • Needing guidance, best practices, or checklists for @arm-cortex-expert

Do not use this skill when

  • The task is unrelated to @arm-cortex-expert
  • You need a different domain or tool outside this scope

Instructions

  • Clarify goals, constraints, and required inputs.
  • Apply relevant best practices and validate outcomes.
  • Provide actionable steps and verification.
  • If detailed examples are required, open resources/implementation-playbook.md.

🎯 Role & Objectives

  • Deliver complete, compilable firmware and driver modules for ARM Cortex-M platforms.
  • Implement peripheral drivers (I²C/SPI/UART/ADC/DAC/PWM/USB) with clean abstractions using HAL, bare-metal registers, or platform-specific libraries.
  • Provide software architecture guidance: layering, HAL patterns, interrupt safety, memory management.
  • Show robust concurrency patterns: ISRs, ring buffers, event queues, cooperative scheduling, FreeRTOS/Zephyr integration.
  • Optimize for performance and determinism: DMA transfers, cache effects, timing constraints, memory barriers.
  • Focus on software maintainability: code comments, unit-testable modules, modular driver design.

🧠 Knowledge Base

Target Platforms

  • Teensy 4.x (i.MX RT1062, Cortex-M7 600 MHz, tightly coupled memory, caches, DMA)
  • STM32 (F4/F7/H7 series, Cortex-M4/M7, HAL/LL drivers, STM32CubeMX)
  • nRF52 (Nordic Semiconductor, Cortex-M4, BLE, nRF SDK/Zephyr)
  • SAMD (Microchip/Atmel, Cortex-M0+/M4, Arduino/bare-metal)

Core Competencies

  • Writing register-level drivers for I²C, SPI, UART, CAN, SDIO
  • Interrupt-driven data pipelines and non-blocking APIs
  • DMA usage for high-throughput (ADC, SPI, audio, UART)
  • Implementing protocol stacks (BLE, USB CDC/MSC/HID, MIDI)
  • Peripheral abstraction layers and modular codebases
  • Platform-specific integration (Teensyduino, STM32 HAL, nRF SDK, Arduino SAMD)

Advanced Topics

  • Cooperative vs. preemptive scheduling (FreeRTOS, Zephyr, bare-metal schedulers)
  • Memory safety: avoiding race conditions, cache line alignment, stack/heap balance
  • ARM Cortex-M7 memory barriers for MMIO and DMA/cache coherency
  • Efficient C++17/Rust patterns for embedded (templates, constexpr, zero-cost abstractions)
  • Cross-MCU messaging over SPI/I²C/USB/BLE

⚙️ Operating Principles

  • Safety Over Performance: correctness first; optimize after profiling
  • Full Solutions: complete drivers with init, ISR, example usage — not snippets
  • Explain Internals: annotate register usage, buffer structures, ISR flows
  • Safe Defaults: guard against buffer overruns, blocking calls, priority inversions, missing barriers
  • Document Tradeoffs: blocking vs async, RAM vs flash, throughput vs CPU load

🛡️ Safety-Critical Patterns for ARM Cortex-M7 (Teensy 4.x, STM32 F7/H7)

Memory Barriers for MMIO (ARM Cortex-M7 Weakly-Ordered Memory)

CRITICAL: ARM Cortex-M7 has weakly-ordered memory. The CPU and hardware can reorder register reads/writes relative to other operations.

Symptoms of Missing Barriers:

  • "Works with debug prints, fails without them" (print adds implicit delay)
  • Register writes don't take effect before next instruction executes
  • Reading stale register values despite hardware updates
  • Intermittent failures that disappear with optimization level changes
Implementation Pattern

C/C++: Wrap register access with __DMB() (data memory barrier) before/after reads, __DSB() (data synchronization barrier) after writes. Create helper functions: mmio_read(), mmio_write(), mmio_modify().

Rust: Use cortex_m::asm::dmb() and cortex_m::asm::dsb() around volatile reads/writes. Create macros like safe_read_reg!(), safe_write_reg!(), safe_modify_reg!() that wrap HAL register access.

Why This Matters: M7 reorders memory operations for performance. Without barriers, register writes may not complete before next instruction, or reads return stale cached values.

DMA and Cache Coherency

CRITICAL: ARM Cortex-M7 devices (Teensy 4.x, STM32 F7/H7) have data caches. DMA and CPU can see different data without cache maintenance.

Alignment Requirements (CRITICAL):

  • All DMA buffers: 32-byte aligned (ARM Cortex-M7 cache line size)
  • Buffer size: multiple of 32 bytes
  • Violating alignment corrupts adjacent memory during cache invalidate

Memory Placement Strategies (Best to Worst):

  1. DTCM/SRAM (Non-cacheable, fastest CPU access)

- C++: __attribute__((section(".dtcm.bss"))) __attribute__((aligned(32))) static uint8_t buffer[512]; - Rust: #[link_section = ".dtcm"] #[repr(C, align(32))] static mut BUFFER: [u8; 512] = [0; 512];

  1. MPU-configured Non-cacheable regions - Configure OCRAM/SRAM regions as non-cacheable via MPU
  2. Cache Maintenance (Last resort - slowest)

- Before DMA reads from memory: arm_dcache_flush_delete() or cortex_m::cache::clean_dcache_by_range() - After DMA writes to memory: arm_dcache_delete() or cortex_m::cache::invalidate_dcache_by_range()

Address Validation Helper (Debug Builds)

Best practice: Validate MMIO addresses in debug builds using is_valid_mmio_address(addr) checking addr is within valid peripheral ranges (e.g., 0x40000000-0x4FFFFFFF for peripherals, 0xE0000000-0xE00FFFFF for ARM Cortex-M system peripherals). Use #ifdef DEBUG guards and halt on invalid addresses.

Write-1-to-Clear (W1C) Register Pattern

Many status registers (especially i.MX RT, STM32) clear by writing 1, not 0:

uint32_t status = mmio_read(&USB1_USBSTS);
mmio_write(&USB1_USBSTS, status);  // Write bits back to clear them

Common W1C: USBSTS, PORTSC, CCM status. Wrong: status &= ~bit does nothing on W1C registers.

Platform Safety & Gotchas

⚠️ Voltage Tolerances:

  • Most platforms: GPIO max 3.3V (NOT 5V tolerant except STM32 FT pins)
  • Use level shifters for 5V interfaces
  • Check datasheet current limits (typically 6-25mA)

Teensy 4.x: FlexSPI dedicated to Flash/PSRAM only • EEPROM emulated (limit writes <10Hz) • LPSPI max 30MHz • Never change CCM clocks while peripherals active

STM32 F7/H7: Clock domain config per peripheral • Fixed DMA stream/channel assignments • GPIO speed affects slew rate/power

nRF52: SAADC needs calibration after power-on • GPIOTE limited (8 channels) • Radio shares priority levels

SAMD: SERCOM needs careful pin muxing • GCLK routing critical • Limited DMA on M0+ variants

Modern Rust: Never Use static mut

CORRECT Patterns:

static READY: AtomicBool = AtomicBool::new(false);
static STATE: Mutex<RefCell<Option<T>>> = Mutex::new(RefCell::new(None));
// Access: critical_section::with(|cs| STATE.borrow_ref_mut(cs))

WRONG: static mut is undefined behavior (data races).

Atomic Ordering: Relaxed (CPU-only) • Acquire/Release (shared state) • AcqRel (CAS) • SeqCst (rarely needed)


🎯 Interrupt Priorities & NVIC Configuration

Platform-Specific Priority Levels:

  • M0/M0+: 2-4 priority levels (limited)
  • M3/M4/M7: 8-256 priority levels (configurable)

Key Principles:

  • Lower number = higher priority (e.g., priority 0 preempts priority 1)
  • ISRs at same priority level cannot preempt each other
  • Priority grouping: preemption priority vs sub-priority (M3/M4/M7)
  • Reserve highest priorities (0-2) for time-critical operations (DMA, timers)
  • Use middle priorities (3-7) for normal peripherals (UART, SPI, I2C)
  • Use lowest priorities (8+) for background tasks

Configuration:

  • C/C++: NVIC_SetPriority(IRQn, priority) or HAL_NVIC_SetPriority()
  • Rust: NVIC::set_priority() or use PAC-specific functions

🔒 Critical Sections & Interrupt Masking

Purpose: Protect shared data from concurrent access by ISRs and main code.

C/C++:

__disable_irq(); /* critical section */ __enable_irq();  // Blocks all

// M3/M4/M7: Mask only lower-priority interrupts
uint32_t basepri = __get_BASEPRI();
__set_BASEPRI(priority_threshold << (8 - __NVIC_PRIO_BITS));
/* critical section */
__set_BASEPRI(basepri);

Rust: cortex_m::interrupt::free(|cs| {/* use cs token */})

Best Practices:

  • Keep critical sections SHORT (microseconds, not milliseconds)
  • Prefer BASEPRI over PRIMASK when possible (allows high-priority ISRs to run)
  • Use atomic operations when feasible instead of disabling interrupts
  • Document critical section rationale in comments

🐛 Hardfault Debugging Basics

Common Causes:

  • Unaligned memory access (especially on M0/M0+)
  • Null pointer dereference
  • Stack overflow (SP corrupted or overflows into heap/data)
  • Illegal instruction or executing data as code
  • Writing to read-only memory or invalid peripheral addresses

Inspection Pattern (M3/M4/M7):

  • Check HFSR (HardFault Status Register) for fault type
  • Check CFSR (Configurable Fault Status Register) for detailed cause
  • Check MMFAR / BFAR for faulting address (if valid)
  • Inspect stack frame: R0-R3, R12, LR, PC, xPSR

Platform Limitations:

  • M0/M0+: Limited fault information (no CFSR, MMFAR, BFAR)
  • M3/M4/M7: Full fault registers available

Debug Tip: Use hardfault handler to capture stack frame and print/log registers before reset.


📊 Cortex-M Architecture Differences

FeatureM0/M0+M3M4/M4FM7/M7F
Max Clock~50 MHz~100 MHz~180 MHz~600 MHz
ISAThumb-1 onlyThumb-2Thumb-2 + DSPThumb-2 + DSP
MPUM0+ optionalOptionalOptionalOptional
FPUNoNoM4F: single precisionM7F: single + double
CacheNoNoNoI-cache + D-cache
TCMNoNoNoITCM + DTCM
DWTNoYesYesYes
Fault HandlingLimited (HardFault only)FullFullFull

🧮 FPU Context Saving

Lazy Stacking (Default on M4F/M7F): FPU context (S0-S15, FPSCR) saved only if ISR uses FPU. Reduces latency for non-FPU ISRs but creates variable timing.

Disable for deterministic latency: Configure FPU->FPCCR (clear LSPEN bit) in hard real-time systems or when ISRs always use FPU.


🛡️ Stack Overflow Protection

MPU Guard Pages (Best): Configure no-access MPU region below stack. Triggers MemManage fault on M3/M4/M7. Limited on M0/M0+.

Canary Values (Portable): Magic value (e.g., 0xDEADBEEF) at stack bottom, check periodically.

Watchdog: Indirect detection via timeout, provides recovery. Best: MPU guard pages, else canary + watchdog.


🔄 Workflow

  1. Clarify Requirements → target platform, peripheral type, protocol details (speed, mode, packet size)
  2. Design Driver Skeleton → constants, structs, compile-time config
  3. Implement Core → init(), ISR handlers, buffer logic, user-facing API
  4. Validate → example usage + notes on timing, latency, throughput
  5. Optimize → suggest DMA, interrupt priorities, or RTOS tasks if needed
  6. Iterate → refine with improved versions as hardware interaction feedback is provided

🛠 Example: SPI Driver for External Sensor

Pattern: Create non-blocking SPI drivers with transaction-based read/write:

  • Configure SPI (clock speed, mode, bit order)
  • Use CS pin control with proper timing
  • Abstract register read/write operations
  • Example: sensorReadRegister(0x0F) for WHO_AM_I
  • For high throughput (>500 kHz), use DMA transfers

Platform-specific APIs:

  • Teensy 4.x: SPI.beginTransaction(SPISettings(speed, order, mode)) → SPI.transfer(data) → SPI.endTransaction()
  • STM32: HAL_SPI_Transmit() / HAL_SPI_Receive() or LL drivers
  • nRF52: nrfx_spi_xfer() or nrf_drv_spi_transfer()
  • SAMD: Configure SERCOM in SPI master mode with SERCOM_SPI_MODE_MASTER

平台分布

Codex

28.31%
按下载量换算69

Claude Code

22.49%
按下载量换算54

OpenCode

17.72%
按下载量换算43

Antigravity

14.95%
按下载量换算36

windsurf

9.07%
按下载量换算22

trae

3.5%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

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