Automated summary
Splits audio or video files into audio segments of specified duration, with intelligent cut points based on silence detection via FFmpeg.
Strengths
- Automatic silence detection for clean cuts
- Batch processing support for multiple files
- Adjustable parameters for different audio types
- Compatibility with many video and audio formats
Limitations
- Requires FFmpeg to be installed on the system
- Silence detection quality depends on configured threshold and window
- No resume capability if batch processing is interrupted
For segmenting long recordings, podcasts, lectures, or videos into fixed-duration chunks with natural cut points at silences.
If you need content-aware segmentation (e.g., by topic or speaker change) without relying on duration.
Security analysis
SafeThe skill uses standard media processing tools (ffmpeg, ffprobe) with no destructive or exfiltrative commands. It provides instructions for segmenting audio/video files without any obfuscation or unsafe operations.
No concerns found
How this analysis is madeExamples
Split the podcast.mp3 file into 30-minute audio segments using silence detection with default settings.Batch segment all video files in the ./lectures directory into 45-minute audio chunks using FFmpeg with standard silence parameters.Split the noisy_recording.mkv into 15-minute segments with a silence threshold of -35dB and a window of 15 seconds to avoid cutting during short pauses.name: audio-spliter description: "Split media files (video/audio) into audio segments by duration with silence-aware cut points using FFmpeg. Use when users need to segment long recordings, podcasts, lectures, or videos into chunks. Supports batch processing and any FFmpeg-compatible format." allowed-tools: [Bash(ffmpeg, ffprobe, bc, grep, sed, find)]
Audio Splitter
Segment media files into audio chunks with intelligent silence detection for clean cut points.
Quick Start
# Single file (video or audio)
./scripts/segment_audio.sh video.mp4 1800
# Batch processing
./scripts/batch_segment.sh -d ./videos 1800
Scripts
| Script | Purpose |
|--------|---------|
| segment_audio.sh | Segment single file (video or audio) |
| batch_segment.sh | Batch wrapper for multiple files |
segment_audio.sh
Segment a single media file into audio chunks.
./scripts/segment_audio.sh [OPTIONS] <input_file> <segment_seconds>
| Option | Default | Description |
|--------|---------|-------------|
| -w, --window | 10 | Search window ±N seconds |
| -n, --noise | -60dB | Silence threshold (dBFS) |
| -s, --silence | 2 | Min silence duration (seconds) |
| -o, --output-dir | input dir | Output directory |
Examples:
./scripts/segment_audio.sh video.mp4 1800 # 30-min segments
./scripts/segment_audio.sh podcast.mp3 1800
./scripts/segment_audio.sh -w 15 -n "-35dB" lecture.mkv 2700
batch_segment.sh (Batch)
Batch process multiple files in a directory.
./scripts/batch_segment.sh -d [OPTIONS] <input_dir> <segment_seconds>
| Option | Default | Description |
|--------|---------|-------------|
| -d, --dir | - | Enable batch mode |
| --depth | 3 | Directory traversal depth |
| -w, --window | 10 | Search window ±N seconds |
| -n, --noise | -60dB | Silence threshold |
| -s, --silence | 2 | Min silence duration |
| -o, --output-dir | input dir | Output directory |
Examples:
./scripts/batch_segment.sh -d ./lectures 1800
./scripts/batch_segment.sh -d ./podcasts --depth 5 3600
./scripts/batch_segment.sh -d ./videos -o ./output 1800
Output Format
{source_name}_{num}_[{start}-{end}].{ext}
Example: video.mp4 → video_01_[0-1800].aac, video_02_[1800-3595].aac
Supported Formats
- Video: mp4, mkv, avi, mov, webm, flv, wmv, m4v
- Audio: mp3, aac, flac, wav, ogg, opus, m4a, wma
Detection Settings
| Audio Type | Noise | Window | Silence | |------------|-------|--------|---------| | Quiet studio | -50dB | 5s | 0.5s | | Default | -60dB | 10s | 2s | | Noisy recording | -35dB | 15s | 1.5s |
Dependencies
- FFmpeg with ffprobe (
brew install ffmpeg)
From the file to a first result
The download contains exactly the content displayed on this page. This copy may differ from the latest version in the source repository.
View the source and supporting filesThis download contains SKILL.md only. Any scripts, references, templates and dependencies are not included. Get the required files from the source, preserving their directory structure, before continuing.
1. Download the file
Download SKILL.mdFrom the root of a test project, save the file as .skill-downloads/audio-splitter-with-silence-detection-mmk3nhji/SKILL.md, or use the command below. This folder is for inspecting the skill before installation.
Command for macOS/Linux or WSL: requires a POSIX shell and curl. On Windows without WSL, use the download button and create the folder manually.
mkdir -p '.skill-downloads/audio-splitter-with-silence-detection-mmk3nhji' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/audio-splitter-with-silence-detection-mmk3nhji/download' --output '.skill-downloads/audio-splitter-with-silence-detection-mmk3nhji/SKILL.md.part' && mv '.skill-downloads/audio-splitter-with-silence-detection-mmk3nhji/SKILL.md.part' '.skill-downloads/audio-splitter-with-silence-detection-mmk3nhji/SKILL.md'2. Check prerequisites
Read SKILL.md before using it. If it references scripts or external services, inspect them and prepare the required access in your test environment.
Original excerpt: Dependencies
- FFmpeg with ffprobe (
brew install ffmpeg)
The platforms on this page are catalog indications. The paths below follow tool documentation; they do not prove this skill has been run in those tools. No minimum tool version is confirmed for this listing.
3. Load the skill
After inspection, copy the complete folder into your project using one of the commands below, then open a new tool session. The command stops if a folder with the same name already exists: compare the files before replacing it.
Claude Code
test -f '.skill-downloads/audio-splitter-with-silence-detection-mmk3nhji/SKILL.md' && test -s '.skill-downloads/audio-splitter-with-silence-detection-mmk3nhji/SKILL.md' && mkdir -p '.claude/skills' && test ! -e '.claude/skills/audio-spliter' && cp -R '.skill-downloads/audio-splitter-with-silence-detection-mmk3nhji' '.claude/skills/audio-spliter'Cursor
test -f '.skill-downloads/audio-splitter-with-silence-detection-mmk3nhji/SKILL.md' && test -s '.skill-downloads/audio-splitter-with-silence-detection-mmk3nhji/SKILL.md' && mkdir -p '.cursor/skills' && test ! -e '.cursor/skills/audio-spliter' && cp -R '.skill-downloads/audio-splitter-with-silence-detection-mmk3nhji' '.cursor/skills/audio-spliter'Codex
test -f '.skill-downloads/audio-splitter-with-silence-detection-mmk3nhji/SKILL.md' && test -s '.skill-downloads/audio-splitter-with-silence-detection-mmk3nhji/SKILL.md' && mkdir -p '.agents/skills' && test ! -e '.agents/skills/audio-spliter' && cp -R '.skill-downloads/audio-splitter-with-silence-detection-mmk3nhji' '.agents/skills/audio-spliter'OpenSkills
OpenSkills must already be installed. The local install/read procedure is checked with OpenSkills 1.5.0, which requires Node.js ≥ 20.6.0. Catalog slugs are not resolved automatically.
Official OpenSkills installationopenskills install './.skill-downloads/audio-splitter-with-silence-detection-mmk3nhji'openskills read 'audio-splitter-with-silence-detection-mmk3nhji'Reading should display the installed file content and its base directory. It does not run the skill or install its dependencies.
For an agent that reads AGENTS.md, then sync the index. This command changes AGENTS.md: review the diff before using it.
openskills syncManual method or another tool: attach SKILL.md to a conversation, or open it in an agent that can read files. Include any required supporting resources. No universal folder is recognized by every tool.
4. Try a first task
Use a short, synthetic input: an API endpoint, a small document or an interface brief. In a new conversation, attach the file or give the agent its path, then adapt this request:
Read .skill-downloads/audio-splitter-with-silence-detection-mmk3nhji/SKILL.md and apply its instructions to this example: [describe a test input]. Identify any missing files, dependencies or access. Produce the result requested by the skill without inventing data or running unreviewed scripts.Expected result: output matching the skill instructions, or a precise list of missing prerequisites. A read confirmation alone does not validate a first use. If an external resource is unavailable, that path remains untested.
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