Perform various data analysis on SEC 13-F and obtain some insights of fund activities such as number of holdings, AUM, and change of holdings between two quarters.
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benchflow-ai/skillsbench18632026年10月13日 更新
免费在 GitHub 公开
audio-extractor
Extract audio from video files to WAV format. Use when you need to analyze audio from video, prepare audio for energy calculation, or convert video audio to standard format for processing.
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查看安装方法包含的文件（2）
- SKILL.md1.4 KB
- scripts/extract_audio.py1.6 KB
SKILL.md（原文）
安装前可以查看交给 AI 代理的指令内容。
Audio Extractor
Extracts audio from video files to WAV format for further analysis. Converts to mono 16kHz PCM format optimized for speech/energy analysis.
Use Cases
- Extracting audio for speech analysis
- Preparing audio for energy calculation
- Converting video audio to standard format
Usage
python3 /root/.claude/skills/audio-extractor/scripts/extract_audio.py \
--video /path/to/video.mp4 \
--output /path/to/audio.wav
Parameters
--video: Path to input video file--output: Path to output WAV file--sample-rate: Audio sample rate in Hz (default: 16000)--duration: Optional duration limit in seconds (default: full video)
Output Format
- Format: WAV (PCM 16-bit signed)
- Channels: Mono
- Sample rate: 16000 Hz (default)
Dependencies
- ffmpeg
Example
# Extract first 10 minutes of audio
python3 /root/.claude/skills/audio-extractor/scripts/extract_audio.py \
--video lecture.mp4 \
--duration 600 \
--output audio.wav
Notes
- Output is always mono for consistent analysis
- 16kHz sample rate is sufficient for speech analysis and reduces file size
- Supports any video format that ffmpeg can read
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