embedded-buffer-queue-libs

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Use when integrating, porting, configuring, or debugging embedded ring buffers, circular buffers, FIFO queues, Ring-Buffer, or QueueForMcu libraries

AI & Automation 22 stars 2 forks Updated 1 weeks ago MIT

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Skill Content

# Embedded Buffer Queue Libs ## Overview Use this skill for embedded ring buffers and lightweight queues. The core decision is ownership and concurrency: single producer/consumer, ISR-to-task, task-to-task, DMA-to-task, or multi-producer use. ## When To Use Use this skill when: - The user wants to integrate or debug Ring-Buffer, QueueForMcu, circular buffers, FIFOs, UART RX buffers, log queues, or event queues. - The issue involves overflow, data loss, race conditions, wraparound, off-by-one capacity, ISR safety, or DMA buffer handoff. Do not use this skill for RTOS-native queues unless the issue is about wrapping a custom buffer around them. ## First Questions Ask for: - Buffer/queue library and intended data type. - Producer and consumer contexts: ISR, DMA, task, main loop, shell, or logger. - Required behavior on full/empty: drop, overwrite oldest, block, error, or backpressure. - Element size, capacity, maximum burst, and latency budget. - Whether operations must be lock-free or protected by critical sections. ## Integration Checklist 1. Define ownership. Specify exactly who writes, who reads, and whether there can be multiple producers or consumers. 1. Define full/empty semantics. Do not leave overwrite/drop/block behavior implicit. 1. Check capacity math. Many ring buffers hold `N-1` items to distinguish full from empty. 1. Protect concurrent access. Use interrupt masking, atomics, mutexes, or single-producer/single-consumer rules as appropriat...

Details

Author
easyzoom
Repository
easyzoom/aix-skills
Created
3 months ago
Last Updated
1 weeks ago
Language
Python
License
MIT

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