Manage ESP32 heap, PSRAM, and FreeRTOS task stack usage.
npx skills add https://github.com/mirkosertic/Megahub --skill memory-freertos
Please help me install this Agent Skill. Skill: memory-freertos Source: https://github.com/mirkosertic/Megahub/tree/main/.claude/skills/memory-freertos Command: npx skills add https://github.com/mirkosertic/Megahub --skill memory-freertos
This Skill helps you reason about memory pressure, stack limits, and concurrency hazards in the Megahub ESP32 firmware so you can avoid crashes, deadlocks, and hidden performance regressions.
Ask for a memory-aware review of the change and include the affected task, expected allocations, and any Bluetooth or Lua callbacks involved.
High-intent search queries and answers about installing and using this skill.
To manage ESP32 FreeRTOS task stack sizes, monitor high-water marks to determine safe allocation limits and prevent overflow. Track heap usage across startup stages and apply timeout-based synchronization to avoid crashes and deadlocks.
ESP32 crashes during Bluetooth callbacks often stem from heap exhaustion or concurrency hazards. Apply timeout-based mutexes, queues, and semaphores for BLE HID events and inter-task communication to keep the BT stack healthy and avoid deadlocks.
The best way to budget heap and PSRAM on ESP32 is tracking free memory across startup stages and Bluetooth lifecycle events. This approach requires awareness of PSRAM availability and allocation impacts to maintain firmware stability.
To add a Lua feature without causing memory pressure, request a memory-aware review including the affected task, expected allocations, and any Bluetooth callbacks. Choose the appropriate task context and verify heap impact before integration.
FreeRTOS inter-task communication on ESP32 requires timeout-based synchronization to prevent deadlocks. Apply timeout-based mutexes, queues, and semaphores for BLE callbacks and HID events to ensure safe concurrency on constrained embedded hardware.
Limitations of running Bluetooth and Lua simultaneously on ESP32 include heap exhaustion and concurrency hazards from constrained memory. Monitor task priorities, stack high-water marks, and PSRAM availability closely to prevent hidden performance regressions and crashes.
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