Power performance

Skill beriberikix/zephyr-agent-skills/skills/power-performance

A complete catalog of Agent Skills (agentskills.io) for Zephyr RTOS development.

Install

npx -y skills add beriberikix/zephyr-agent-skills --skill power-performance

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

What its author says it does

Copied from the file, not written here

Power management and performance optimization for Zephyr RTOS. Covers system power states (Idle, Suspend, Off), device-level power management, residency hooks, and code/data relocation for speed efficiency. Trigger when optimizing battery life, reducing latency, or managing memory constraints.

SKILL.md

3.0 KB, as published. Nobody here has run it

Zephyr Power & Performance

Maximize the efficiency of your embedded system by balancing power consumption and computational performance.

Core Workflows

1. Power Management (PM)

Implement system-level and peripheral-specific power saving strategies.

Reference: power_management.md
Key Tools: pm_device_action_run, pm_state_set, Residency hooks.

2. Performance Tuning

Optimize critical code paths and monitor system resources.

Reference: performance_tuning.md
Key Tools: CONFIG_THREAD_ANALYZER, Linker Map, Code relocation.

3. Memory Optimization

Relocate code and data to utilize the fastest memory available.

Reference: performance_tuning.md
Key Tools: __ramfunc, Relocation scripts.

Quick Start (Device Suspend)

#include <zephyr/pm/device.h>

const struct device *spi0 = DEVICE_DT_GET(DT_NODELABEL(spi0));

void sleep_spi(void) {
    pm_device_action_run(spi0, PM_DEVICE_ACTION_SUSPEND);
}

Professional Patterns (Optimization)

Aggressive Suspend: Transition peripherals to low-power states as soon as their transaction is complete.
ITCM/DTCM: Use Tightly Coupled Memory for time-critical control loops to avoid Flash latency.
Runtime Monitoring: Always enable the thread analyzer during development to find the "RAM floor" for your application.
Coordinated Sleep: To coordinate sleep across modules, see kernel-services for Zbus-based event-driven power management.

Automation Tools

power_budget_estimator.py: Estimate average current and battery life from duty-cycle state data.

Examples & Templates

power_budget_template.csv: Starter power-state budget sheet for battery-life estimation.

Validation Checklist

Target peripherals enter and exit suspend/resume states without functional regressions.
Measured idle and active power align with expected optimization deltas.
Thread analyzer and map data confirm stack/RAM budgets are within limits.
Relocated time-critical functions execute from intended memory region.

Resources

References:
- power_management.md: System states, device PM, and hooks.
- performance_tuning.md: Optimization strategies and relocation.
Scripts:
- power_budget_estimator.py: Duty-cycle based battery-life estimator.
Assets:
- power_budget_template.csv: Initial state/current budget template.