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arm-cortex-expert手臂皮质专家

Agent Skill

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。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

@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

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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

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