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pause-detector

Detect pauses and silence in audio using local dynamic thresholds.

Skill by benchflow-ai

IndexedApache-2.0★ 1,870
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/benchflow-ai-pause-detector

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About

Detect pauses and silence in audio using local dynamic thresholds. Use when you need to find natural pauses in lectures, board-writing silences, or breaks between sections. Uses local context comparison to avoid false positives from volume variation.

Use cases: writing

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/pause-detector

What's inside

Skill name
pause-detector
Description
Detect pauses and silence in audio using local dynamic thresholds. Use when you need to find natural pauses in lectures, board-writing silences, or breaks between sections. Uses local context comparison to avoid false positives from volume variation.
License
Apache-2.0
Instructions
87 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (2)

  • SKILL.md
  • detect_pauses.py · scripts/

SKILL.md (first lines)

# Pause Detector

Detects pauses and low-energy segments using local dynamic thresholds on pre-computed energy data. Unlike global threshold methods, this compares energy to surrounding context, avoiding false positives when speaker volume varies.

## Use Cases

- Detecting natural pauses in lectures
- Finding board-writing silences
- Identifying breaks between sections

## Usage

```bash
python3 /root/.claude/skills/pause-detector/scripts/detect_pauses.py \
    --energies /path/to/energies.json \
    --output /path/to/pauses.json
```

### Parameters

- `--energies`: Path to energy JSON file (from energy-calculator)
- `--output`: Path to output JSON file
- `--start-time`: Start analyzing from this second (default: 0)
- `--threshold-ratio`: Ratio of local average for low energy (default: 0.5)
- `--min-duration`: Minimum pause duration in seconds (default: 2)
- `--window-size`: Local average window size (default: 30)

### Output Format

```json
{
  "method": "local_dynamic_threshold",
  "segments": [
    {"start": 610, "end": 613, "duration": 3},
    {"start": 720, "end": 724, "duration": 4}
  ],
  "total_segments": 11,
  "total_duration_seconds": 28,
  "parameters": {
    "threshold_ratio": 0.5,
    "window_size": 30,
    "min_duration": 2
  }
}
```

## How It Works

1. Load pre-computed energy data
2. Calculate local average using sliding window
3. Mark seconds where energy < local_avg × threshold_ratio
4. Group consecutive low-energy seconds into segments
5. Filter segments by minimum duration

## Dependencies

- Python 3.11+
- numpy
- scipy

## Example

```bash
# Detect pauses after opening (start at 221s)
python3 /root/.claude/skills/pause-detector/scripts/detect_pauses.py \
    --energies energies.json \
    --start-time 221 \
    --output pauses.json

# Result: Found 11 pauses totaling 28 seconds
```

## Parameters Tuning

| Parameter | Lower Value | Higher Value |
|-----------|-------------|--------------|
| `threshold_ratio` | More aggressive | More conservative |
| `min_duration` | Shorter pauses | Longer pauses only |
| `window_size` | Local context | Broader context |

## Notes

- Requires energy data from energy-calculator skill
- Use --start-time to skip detected opening
- Local threshold adapts to varying speaker volume

From benchflow-ai/skillsbench, Apache-2.0.

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Last commit (this folder)
Feb 18, 2026 (8 months ago)
Last release
Jun 14, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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pause-detector skill. Agent Mart. https://agentmart.dev/skills/benchflow-ai-pause-detector (last updated 2026-10-24)