SKILLS/arm-cortex-expert/SKILL.md
Senior embedded software engineer specializing in firmware and driver development for ARM Cortex-M microcontrollers (Teensy, STM32, nRF52, SAMD).
npx skillsauth add pinkpixel-dev/skills-collection-1 arm-cortex-expertInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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resources/implementation-playbook.md.Target Platforms
Core Competencies
Advanced Topics
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:
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.
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):
Memory Placement Strategies (Best to Worst):
DTCM/SRAM (Non-cacheable, fastest CPU access)
__attribute__((section(".dtcm.bss"))) __attribute__((aligned(32))) static uint8_t buffer[512];#[link_section = ".dtcm"] #[repr(C, align(32))] static mut BUFFER: [u8; 512] = [0; 512];MPU-configured Non-cacheable regions - Configure OCRAM/SRAM regions as non-cacheable via MPU
Cache Maintenance (Last resort - slowest)
arm_dcache_flush_delete() or cortex_m::cache::clean_dcache_by_range()arm_dcache_delete() or cortex_m::cache::invalidate_dcache_by_range()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.
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.
⚠️ Voltage Tolerances:
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
static mutCORRECT 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)
Platform-Specific Priority Levels:
Key Principles:
Configuration:
NVIC_SetPriority(IRQn, priority) or HAL_NVIC_SetPriority()NVIC::set_priority() or use PAC-specific functionsPurpose: 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:
Common Causes:
Inspection Pattern (M3/M4/M7):
HFSR (HardFault Status Register) for fault typeCFSR (Configurable Fault Status Register) for detailed causeMMFAR / BFAR for faulting address (if valid)R0-R3, R12, LR, PC, xPSRPlatform Limitations:
Debug Tip: Use hardfault handler to capture stack frame and print/log registers before reset.
| Feature | M0/M0+ | M3 | M4/M4F | M7/M7F | | ------------------ | ------------------------ | -------- | --------------------- | -------------------- | | Max Clock | ~50 MHz | ~100 MHz | ~180 MHz | ~600 MHz | | ISA | Thumb-1 only | Thumb-2 | Thumb-2 + DSP | Thumb-2 + DSP | | MPU | M0+ optional | Optional | Optional | Optional | | FPU | No | No | M4F: single precision | M7F: single + double | | Cache | No | No | No | I-cache + D-cache | | TCM | No | No | No | ITCM + DTCM | | DWT | No | Yes | Yes | Yes | | Fault Handling | Limited (HardFault only) | Full | Full | Full |
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.
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.
Pattern: Create non-blocking SPI drivers with transaction-based read/write:
sensorReadRegister(0x0F) for WHO_AM_IPlatform-specific APIs:
SPI.beginTransaction(SPISettings(speed, order, mode)) → SPI.transfer(data) → SPI.endTransaction()HAL_SPI_Transmit() / HAL_SPI_Receive() or LL driversnrfx_spi_xfer() or nrf_drv_spi_transfer()SERCOM_SPI_MODE_MASTERtesting
When the user wants a full ASO health audit, review their App Store listing quality, or diagnose why their app isn't ranking. Also use when the user mentions "ASO audit", "ASO score", "why am I not ranking", "listing review", or "optimize my app store page". For keyword-specific research, see keyword-research. For metadata writing, see metadata-optimization.
testing
Clarify requirements before implementing. Use when serious doubts arise.
tools
Complete reference and build guide for ASI:One (ASI1) — the AI platform by Fetch.ai built for agentic, Web3-native applications. Use this skill IMMEDIATELY and ALWAYS when the user mentions ASI1, ASI:One, Fetch.ai AI API, building with ASI1, integrating ASI:One, asking about ASI1 models, tool calling with ASI1, ASI1 image generation, ASI1 agentic LLM, Agentverse, uagents, Agent Chat Protocol, structured output with ASI1, or OpenAI-compatible wrappers for ASI1. Also trigger when the user says things like "use ASI1 instead of OpenAI", "build an app with ASI:One", "ASI1 API", or references docs.asi1.ai. This skill covers everything needed to build production apps - setup, all models, all API features, tool calling, image gen, agentic orchestration, structured data, session management, streaming, LangChain integration, uagents / Agent Chat Protocol, and TypeScript/Node.js patterns.
data-ai
When the user wants to analyze their own app's actual performance data from App Store Connect — real downloads, revenue, IAP, subscriptions, trials, or country breakdowns synced via Appeeky Connect. Use when the user asks about "my downloads", "my revenue", "how is my app performing", "ASC data", "sales and trends", "my subscription numbers", "App Store Connect metrics", or wants to compare periods or top markets. For third-party app estimates, see app-analytics. For subscription analytics depth, see monetization-strategy.