메뉴
Detect laughter and humorous segments in audio/video. Use when you want to find funny moments, identify audience reactions, or create viral clips from humorous content. Supports both AI model detection and keyword-based detection from transcripts.
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/akrindev/trimer-clip --skill laughter-detector명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
SOC 직업 분류 기준
SKILL.md 표시 중
| name | laughter-detector |
| description | Detect laughter and humorous segments in audio/video. Use when you want to find funny moments, identify audience reactions, or create viral clips from humorous content. Supports both AI model detection and keyword-based detection from transcripts. |
| allowed-tools | Bash(ffmpeg:*) Bash(python:*) |
| compatibility | Requires audio processing libraries and optional ML models |
| metadata | {"version":"1.0","methods":"AI Model + Keyword Detection"} |
This skill enables AI agents to detect laughter and humorous segments in audio or video files.
Analyzes transcript for laughter-related keywords and phrases:
Analyzes audio characteristics:
Uses trained laughter detection models:
scripts/detect_laughter.pyDetect laughter segments in audio/video.
Usage:
python skills/laughter-detector/scripts/detect_laughter.py <video_path> [options]
Options:
--method: Detection method (keywords, audio, ai) - default: keywords--transcript-path: Path to transcript SRT/VTT file (for keyword detection)--threshold: Detection threshold (0.0-1.0) - default: 0.5--min-duration: Minimum laughter segment duration (seconds) - default: 0.3--output, -o: Output JSON path (default: <video_path>_laughter.json)Examples:
Detect laughter from transcript:
python skills/laughter-detector/scripts/detect_laughter.py video.mp4 --transcript-path video.srt
Detect with audio analysis:
python skills/laughter-detector/scripts/detect_laughter.py video.mp4 --method audio --threshold 0.4
scripts/detect_from_transcript.pyDetect laughter from transcript file only.
Usage:
python skills/laughter-detector/scripts/detect_from_transcript.py <transcript_path> [options]
Options:
--keywords: Custom keywords (comma-separated)--output, -o: Output JSON pathExample:
python skills/laughter-detector/scripts/detect_from_transcript.py video.srt --keywords "laugh,laughter,haha"
{
"video_path": "video.mp4",
"method": "keywords",
"total_laughter_segments": 8,
"laughter_segments": [
{
"segment_number": 1,
"start_time": 12.5,
"end_time": 15.2,
"duration": 2.7,
"confidence": 0.85,
"text": "[laughter] That's hilarious!",
"type": "explicit"
},
{
"segment_number": 2,
"start_time": 45.0,
"end_time": 47.8,
"duration": 2.8,
"confidence": 0.92,
"text": "(laughing) I can't believe it",
"type": "explicit"
}
],
"total_laughter_duration": 15.5,
"laughter_percentage": 12.5
}
After laughter detection, you can use these skills:
highlight-scanner: Combine laughter with other signalsvideo-trimmer: Create clips from laughter segmentsautocut-shorts: Full workflow for creating short clipsvideo-transcriber