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power-budget-calculator功率预算计算器

Agent Skill

power-budget-calculator 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。

总安装

588

周安装

25

GitHub Stars

13

下载量

206
CodexClaudeCursorGemini CLI

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

2

许可证

unknown

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:power-budget-calculator(功率预算计算器)
来源仓库:https://github.com/wedsamuel1230/arduino-skills
仓库路径:skills/power-budget-calculator
安装命令:
npx skills add https://github.com/wedsamuel1230/arduino-skills --skill power-budget-calculator
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/wedsamuel1230/arduino-skills --skill power-budget-calculator

简介

power-budget-calculator 用于处理 GitHub 仓库、Issue、Pull Request 等协作信息,适合在代码协作场景中整理变更与状态。

  • 适用于围绕仓库状态、代码变更或协作事项的信息组织与汇总。
  • 通过 npx skills add 命令从 GitHub 仓库安装并使用。
  • 安装前应确认权限范围、维护状态及是否执行命令或访问文件。
  • 具体功能需参考原始 README 进一步验证。

SKILL.md

Power Budget Calculator

Estimates power consumption and battery life for embedded projects.

Resources

  • scripts/calculate_power.py - Python calculator with component database, duty cycle support, battery life estimation
  • references/component-database.md - Comprehensive current draw reference from datasheets
  • assets/example-project.json - Sample project configuration

Quick Start

Run the calculator interactively:

uv run --no-project scripts/calculate_power.py --interactive

Or calculate for a single component:

uv run --no-project scripts/calculate_power.py --component ESP32 --mode deep_sleep --duty 95

Load a project configuration:

uv run --no-project scripts/calculate_power.py --json assets/example-project.json --output report.md

List all components in database:

uv run --no-project scripts/calculate_power.py --list

When to Use

  • "How long will my battery last?"
  • "What size battery do I need?"
  • "How much current does my project draw?"
  • Planning battery-powered projects
  • Optimizing for low power

Workflow

Step 1: Gather Component List

Ask user for:

  1. Microcontroller (model and operating mode)
  2. All sensors and modules
  3. Displays
  4. Actuators (motors, LEDs, relays)
  5. Communication (WiFi, Bluetooth, LoRa)
  6. Operating profile (always on vs. duty cycle)

Step 2: Calculate Power Budget

Run scripts/calculate_power.py --interactive for guided calculation, or use this template:

# Power Budget: [Project Name]

## Operating Conditions
- Supply Voltage: [V]
- Operating Modes: [Active/Sleep cycles]
- Duty Cycle: [X% active, Y% sleep]

## Component Current Draw

### Always-On Components
| Component | Voltage | Current | Power | Notes |
|-----------|---------|---------|-------|-------|
| [name] | [V] | [mA] | [mW] | [conditions] |
| ... | ... | ... | ... | ... |
| **Subtotal** | - | **[mA]** | **[mW]** | - |

### Active Mode Only
| Component | Voltage | Current | Power | Duty % |
|-----------|---------|---------|-------|--------|
| [name] | [V] | [mA] | [mW] | [%] |
| ... | ... | ... | ... | ... |
| **Subtotal** | - | **[mA]** | **[mW]** | - |

### Peak Current Events
| Event | Current | Duration | Frequency |
|-------|---------|----------|-----------|
| [WiFi TX] | [mA] | [ms] | [per hour] |
| ... | ... | ... | ... |

## Power Calculations

### Average Current

I_avg = (I_active × t_active + I_sleep × t_sleep) / t_total I_avg = ([X]mA × [Y]s + [Z]mA × [W]s) / [T]s I_avg = [result] mA

### Battery Life Estimate

Capacity: [X] mAh Efficiency factor: 0.8 (80% usable) Effective capacity: [X × 0.8] mAh

Runtime = Effective capacity / I_avg Runtime = [X] mAh / [Y] mA Runtime = [Z] hours ([days] days)

## Recommendations
- [Power optimization suggestions]
- [Battery type recommendation]
- [Sleep mode configuration]

Current Draw Database

Microcontrollers

Arduino (ATmega328P @ 5V)

ModeCurrentNotes
Active (16MHz)15-20mANo peripherals
Idle6mACPU stopped, peripherals on
Power-down0.1µAOnly WDT/external interrupt
With USB-Serial+50mACH340/FTDI chip always on

ESP32 (WROOM-32)

ModeCurrentNotes
Active (WiFi TX)160-260mAPeak during transmission
Active (WiFi RX)95-100mAListening
Active (no WiFi)20-68mACPU only
Modem-sleep20mAWiFi off, CPU on
Light-sleep0.8mACPU paused
Deep-sleep10µARTC only
Hibernation5µARTC off

ESP32-C3

ModeCurrentNotes
Active (WiFi TX)320mA peakBrief spikes
Active (BLE)50-100mADuring advertising
Active (no radio)25-35mACPU at 160MHz
Light-sleep130µAAuto wake
Deep-sleep5µARTC on

RP2040 (Pico)

ModeCurrentNotes
Active (both cores)25-50mADepends on clock
Single core15-25mAOne core dormant
Dormant0.18mAWake on GPIO/RTC
Sleep1.3mA

RP2040 (Pico W)

ModeCurrentNotes
WiFi active50-150mADuring TX
WiFi idle30-40mAConnected, listening
WiFi off25-50mARadio disabled

Sensors

SensorActiveSleepNotes
DHT221.5mA50µADuring read
BME2800.35mA0.1µAForced mode
BMP2800.27mA0.1µA
MPU60503.8mA5µAAll axes
DS18B201.5mA1µADuring conversion
HC-SR0415mA2mANo true sleep
VL53L0X19mA5µADuring ranging
MAX30102600µA0.7µALow power mode
BH1750120µA1µAPower down mode
GPS (NEO-6M)45mA11mABackup mode

Displays

DisplayActiveOff/SleepNotes
16x2 LCD (backlight)80-120mA1mABacklight dominates
16x2 LCD (no backlight)1-2mA1mA
SSD1306 OLED 128x648-20mA10µADepends on content
SSD1306 OLED 128x325-15mA10µA
ST7735 TFT20-40mA20mABacklight always on
ILI9341 TFT50-80mA50mA
E-Paper 2.9"8mA0µAOnly during refresh

Communication Modules

ModuleTX PeakRX/IdleSleepNotes
ESP8266 (module)170mA70mA20µADeep sleep
NRF24L0111.3mA13.5mA0.9µA
HC-05 Bluetooth40mA8mA2mA
RFM95 LoRa120mA10mA0.2µA
SIM800L GSM2A peak15mA1mANeeds big cap!

Actuators

ComponentCurrentNotes
LED (typical)10-20mAThrough resistor
RGB LED (each color)20mAPer channel
WS2812B NeoPixel60mA maxFull white
SG90 Servo (idle)10mANo load
SG90 Servo (moving)200-500mAUnder load
MG996R Servo500-900mAUnder load
Small DC motor100-500mAVaries with load
5V Relay module70-100mACoil energized
Buzzer (passive)30mA

Sleep Mode Configurations

ESP32 Deep Sleep Template

#include <esp_sleep.h>

#define uS_TO_S_FACTOR 1000000ULL
#define TIME_TO_SLEEP 60  // seconds

void setup() {
    // Do measurements here

    // Configure wake-up source
    esp_sleep_enable_timer_wakeup(TIME_TO_SLEEP * uS_TO_S_FACTOR);

    // Enter deep sleep
    esp_deep_sleep_start();
}

void loop() {
    // Never reached
}

Arduino Power-Down Template

#include <avr/sleep.h>
#include <avr/wdt.h>

void enterSleep() {
    set_sleep_mode(SLEEP_MODE_PWR_DOWN);
    sleep_enable();
    sleep_mode();  // Sleep here
    sleep_disable();
}

// Wake on watchdog or external interrupt
ISR(WDT_vect) {
    // Wake up
}

Power Optimization Checklist

Hardware

  • Remove power LED (saves 5-10mA)
  • Remove USB-Serial chip for battery operation
  • Use LDO with low quiescent current (<10µA)
  • Add MOSFET to power-gate high-current peripherals
  • Use pull-downs on unused pins
  • Disable ADC when not reading

Software

  • Use sleep modes between readings
  • Reduce clock speed if possible
  • Batch data and transmit less frequently
  • Turn off WiFi/BLE when not needed
  • Disable brown-out detector in deep sleep
  • Use interrupts instead of polling

Design Patterns

Power Gating:

       VCC
        │
    [P-MOSFET] ← GPIO (LOW = ON)
        │
    [Sensor/Module]
        │
       GND

Duty Cycling Formula:

I_average = (I_active × T_active + I_sleep × T_sleep) / T_total

Example: Sensor reads every 5 minutes
- Active: 50mA for 2 seconds
- Sleep: 10µA for 298 seconds

I_avg = (50mA × 2s + 0.01mA × 298s) / 300s
I_avg = (100 + 2.98) / 300
I_avg = 0.34mA

With 2000mAh battery:
Runtime = 2000mAh × 0.8 / 0.34mA = 4706 hours = 196 days

Battery Reference

Common Battery Types

TypeVoltageTypical CapacityNotes
CR20323V220mAhVery low current only
2x AA Alkaline3V2500mAhGood for low power
3x AA Alkaline4.5V2500mAhDirect to 5V systems
4x AA Alkaline6V2500mAhWith LDO to 5V
18650 Li-ion3.7V2000-3500mAhRechargeable, popular
LiPo 1S3.7VVariousFlat, light
9V Alkaline9V500mAhPoor energy density

Voltage Over Discharge

18650/LiPo Discharge Curve:

Capacity%   Voltage
─────────────────────
100%        4.2V
80%         3.9V
50%         3.7V
20%         3.5V
0%          3.0V (cut-off!)

Never discharge below 3.0V - damages cell!

Alkaline AA Discharge:

Capacity%   Voltage (per cell)
─────────────────────────────
100%        1.5V
50%         1.2V
0%          0.9V

Many devices stop working below 1.1V/cell

Quick Calculator

Enter your values:

Always-on current: ______ mA
Active current: ______ mA
Active time: ______ seconds
Sleep current: ______ mA
Sleep time: ______ seconds
Battery capacity: ______ mAh

Average current = (Active_mA × Active_s + Sleep_mA × Sleep_s) / Total_s
                = (_____ × _____ + _____ × _____) / _____
                = _____ mA

Runtime = Capacity × 0.8 / Average_current
        = _____ × 0.8 / _____
        = _____ hours
        = _____ days

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.98%
按下载量换算72

Claude

30.36%
按下载量换算63

Cursor

19.66%
按下载量换算40

Gemini CLI

9.42%
按下载量换算19

安全审计

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通过

Snyk

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权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

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