Skillsbench 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.

install

source · Clone the upstream repo

git clone https://github.com/benchflow-ai/skillsbench

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/benchflow-ai/skillsbench "$T" && mkdir -p ~/.claude/skills && cp -r "$T/tasks/video-silence-remover/environment/skills/energy-calculator" ~/.claude/skills/benchflow-ai-skillsbench-energy-calculator && rm -rf "$T"

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

source content

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

Load audio file
Split into 1-second windows
Calculate RMS energy for each window:
```
sqrt(mean(samples^2))
```
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