Agent Skills: Energy Calculator

Calculate per-second RMS energy from audio files. Use when you need to analyze audio volume patterns, prepare data for silence/pause detection, or create an energy profile for audio analysis tasks.

UncategorizedID: benchflow-ai/skillsbench/energy-calculator

Install this agent skill to your local

pnpm dlx add-skill https://github.com/benchflow-ai/skillsbench/tree/HEAD/tasks/video-silence-remover/environment/skills/energy-calculator

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tasks/video-silence-remover/environment/skills/energy-calculator/SKILL.md

Skill Metadata

Name
energy-calculator
Description
Calculate per-second RMS energy from audio files. Use when you need to analyze audio volume patterns, prepare data for silence/pause detection, or create an energy profile for audio analysis tasks.

Energy Calculator

Calculates per-second RMS (Root Mean Square) energy from audio files. Produces an energy profile that can be used for opening detection, pause detection, or other audio analysis tasks.

Use Cases

  • Calculating audio energy for silence detection
  • Preparing data for opening/pause detection
  • Analyzing audio volume patterns

Usage

python3 /root/.claude/skills/energy-calculator/scripts/calc_energy.py \
    --audio /path/to/audio.wav \
    --output /path/to/energies.json

Parameters

  • --audio: Path to input WAV file
  • --output: Path to output JSON file
  • --window-seconds: Window size for energy calculation (default: 1 second)

Output Format

{
  "sample_rate": 16000,
  "window_seconds": 1,
  "total_seconds": 600,
  "energies": [123.5, 456.7, 234.2, ...],
  "stats": {
    "min": 45.2,
    "max": 892.3,
    "mean": 234.5,
    "std": 156.7
  }
}

How It Works

  1. Load audio file
  2. Split into 1-second windows
  3. Calculate RMS energy for each window: sqrt(mean(samples^2))
  4. Output array of energy values

Dependencies

  • Python 3.11+
  • numpy

Example

# Calculate energy from extracted audio
python3 /root/.claude/skills/energy-calculator/scripts/calc_energy.py \
    --audio audio.wav \
    --output energies.json

Notes

  • RMS energy correlates with perceived loudness
  • Higher values = louder audio, lower values = quieter/silence
  • Output can be used by opening-detector and pause-detector skills