[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6XEV6NHJP5TKAGEVR57JQMS":3,"skill-same:01M6XEV6NHJP5TKAGEVR57JQMS":72},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":22,"publishedAt":40,"linkOnly":41,"markdownContent":42,"markdownBody":43,"frontMatter":44,"refName":45,"commitSha":46,"skillDirectory":47,"forksCount":13,"repositoryHtmlUrl":48,"repositoryHomepageUrl":6,"ownerHtmlUrl":49,"ownerBlogUrl":6,"ownerDescription":50,"updatedAt":51,"install":52,"resources":65},"01M6XEV6NHJP5TKAGEVR57JQMS","audio-extractor",null,"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.","Waaaalnut\u002Fskillsbench","Waaaalnut","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F103995656?v=4","01M6XCS9K1V51EY3JMB7DGMX24","01M6XCS9Q4WPW88W62C55G1H44",0,"Apache-2.0","https:\u002F\u002Fgithub.com\u002FWaaaalnut\u002Fskillsbench\u002Fblob\u002Fmain\u002Ftasks\u002Fvideo-silence-remover\u002Fenvironment\u002Fskills\u002Faudio-extractor\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",[23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39],"audio extractor","Audio","files","when","standard","energy","for","you","calculation","processing","prepare","use","extract","analyze","format","convert","Video","2026-11-10 10:12:30",false,"---\nname: audio-extractor\ndescription: 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.\n---\n\n# Audio Extractor\n\nExtracts audio from video files to WAV format for further analysis. Converts to mono 16kHz PCM format optimized for speech\u002Fenergy analysis.\n\n## Use Cases\n\n- Extracting audio for speech analysis\n- Preparing audio for energy calculation\n- Converting video audio to standard format\n\n## Usage\n\n```bash\npython3 \u002Froot\u002F.claude\u002Fskills\u002Faudio-extractor\u002Fscripts\u002Fextract_audio.py \\\n    --video \u002Fpath\u002Fto\u002Fvideo.mp4 \\\n    --output \u002Fpath\u002Fto\u002Faudio.wav\n```\n\n### Parameters\n\n- `--video`: Path to input video file\n- `--output`: Path to output WAV file\n- `--sample-rate`: Audio sample rate in Hz (default: 16000)\n- `--duration`: Optional duration limit in seconds (default: full video)\n\n### Output Format\n\n- Format: WAV (PCM 16-bit signed)\n- Channels: Mono\n- Sample rate: 16000 Hz (default)\n\n## Dependencies\n\n- ffmpeg\n\n## Example\n\n```bash\n# Extract first 10 minutes of audio\npython3 \u002Froot\u002F.claude\u002Fskills\u002Faudio-extractor\u002Fscripts\u002Fextract_audio.py \\\n    --video lecture.mp4 \\\n    --duration 600 \\\n    --output audio.wav\n```\n\n## Notes\n\n- Output is always mono for consistent analysis\n- 16kHz sample rate is sufficient for speech analysis and reduces file size\n- Supports any video format that ffmpeg can read\n","# Audio Extractor\n\nExtracts audio from video files to WAV format for further analysis. Converts to mono 16kHz PCM format optimized for speech\u002Fenergy analysis.\n\n## Use Cases\n\n- Extracting audio for speech analysis\n- Preparing audio for energy calculation\n- Converting video audio to standard format\n\n## Usage\n\n```bash\npython3 \u002Froot\u002F.claude\u002Fskills\u002Faudio-extractor\u002Fscripts\u002Fextract_audio.py \\\n    --video \u002Fpath\u002Fto\u002Fvideo.mp4 \\\n    --output \u002Fpath\u002Fto\u002Faudio.wav\n```\n\n### Parameters\n\n- `--video`: Path to input video file\n- `--output`: Path to output WAV file\n- `--sample-rate`: Audio sample rate in Hz (default: 16000)\n- `--duration`: Optional duration limit in seconds (default: full video)\n\n### Output Format\n\n- Format: WAV (PCM 16-bit signed)\n- Channels: Mono\n- Sample rate: 16000 Hz (default)\n\n## Dependencies\n\n- ffmpeg\n\n## Example\n\n```bash\n# Extract first 10 minutes of audio\npython3 \u002Froot\u002F.claude\u002Fskills\u002Faudio-extractor\u002Fscripts\u002Fextract_audio.py \\\n    --video lecture.mp4 \\\n    --duration 600 \\\n    --output audio.wav\n```\n\n## Notes\n\n- Output is always mono for consistent analysis\n- 16kHz sample rate is sufficient for speech analysis and reduces file size\n- Supports any video format that ffmpeg can read\n",{"name":5,"description":7},"main","7eeb258ada72b7f58119b0e7a2c00ea89d9beedd","tasks\u002Fvideo-silence-remover\u002Fenvironment\u002Fskills\u002Faudio-extractor","https:\u002F\u002Fgithub.com\u002FWaaaalnut\u002Fskillsbench","https:\u002F\u002Fgithub.com\u002FWaaaalnut","student of Zhejiang University","2026-04-21 23:16:23",{"source":8,"skillName":5,"commands":53,"prompt":63,"zipAvailable":64},[54,57,60],{"tool":55,"command":56},"npx","npx skills add Waaaalnut\u002Fskillsbench --skill audio-extractor",{"tool":58,"command":59},"bunx","bunx skills add Waaaalnut\u002Fskillsbench --skill audio-extractor",{"tool":61,"command":62},"pnpm","pnpm dlx skills add Waaaalnut\u002Fskillsbench --skill audio-extractor","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FWaaaalnut\u002Fskillsbench\u002Fblob\u002Fmain\u002Ftasks\u002Fvideo-silence-remover\u002Fenvironment\u002Fskills\u002Faudio-extractor\u002FSKILL.md",true,[66],{"path":67,"resourceType":68,"resourceTypeDesc":69,"sizeBytes":70,"sourceHtmlUrl":71},"scripts\u002Fextract_audio.py","SCRIPT","脚本",1639,"https:\u002F\u002Fgithub.com\u002FWaaaalnut\u002Fskillsbench\u002Fblob\u002Fmain\u002Ftasks\u002Fvideo-silence-remover\u002Fenvironment\u002Fskills\u002Faudio-extractor\u002Fscripts\u002Fextract_audio.py",[73,87,101,122,142,158],{"skillNo":74,"name":75,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":76,"categories":77,"keywords":83,"publishedAt":40},"01M6XEWMJ6VY3ZC53MPDCPG3GH","data-reconciliation","https:\u002F\u002Fgithub.com\u002FWaaaalnut\u002Fskillsbench\u002Fblob\u002Fmain\u002Ftasks\u002Fxlsx-recover-data\u002Fenvironment\u002Fskills\u002Fdata-reconciliation\u002FSKILL.md",[78],{"categoryNo":79,"categoryName":80,"taxonomyType":81,"taxonomyTypeDesc":82},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",[84,85,86],"data reconciliation","reconciliation","data",{"skillNo":88,"name":89,"nameZh":6,"description":90,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":91,"categories":92,"keywords":93,"publishedAt":40},"01M6XEW8MNPMF1KRXV6ATGFRQF","speech-to-text","Transcribe video to timestamped text using Whisper tiny model (pre-installed).","https:\u002F\u002Fgithub.com\u002FWaaaalnut\u002Fskillsbench\u002Fblob\u002Fmain\u002Ftasks\u002Fvideo-tutorial-indexer\u002Fenvironment\u002Fskills\u002Fspeech-to-text\u002FSKILL.md",[],[94,95,96,97,98,99,39,100],"speech","text","speech to text","transcribe video","whisper","model","transcribe",{"skillNo":102,"name":103,"nameZh":6,"description":104,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":105,"categories":106,"keywords":108,"publishedAt":40},"01M6XEW3FQZP0T1RKQQJFXVY9T","video-processor","Process videos by removing segments and concatenating remaining parts. Use when you need to remove detected pauses\u002Fopenings from videos, create highlight reels, or batch process segment removals using ffmpeg filter_complex.","https:\u002F\u002Fgithub.com\u002FWaaaalnut\u002Fskillsbench\u002Fblob\u002Fmain\u002Ftasks\u002Fvideo-silence-remover\u002Fenvironment\u002Fskills\u002Fvideo-processor\u002FSKILL.md",[107],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},[39,109,110,111,112,113,26,114,115,116,117,30,118,119,120,34,121],"processor","video processor","batch","create","reels","parts","segments","process","videos","segment","filter","ffmpeg","remove",{"skillNo":123,"name":124,"nameZh":6,"description":125,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":126,"categories":127,"keywords":129,"publishedAt":40},"01M6XEVXJ5KZ0NTY3XZKRY4AS1","silence-detector","Detect initial silence segments in audio\u002Fvideo using energy-based analysis. Use when you need to find low-energy periods at the start of recordings (title slides, setup time, pre-roll silence).","https:\u002F\u002Fgithub.com\u002FWaaaalnut\u002Fskillsbench\u002Fblob\u002Fmain\u002Ftasks\u002Fvideo-silence-remover\u002Fenvironment\u002Fskills\u002Fsilence-detector\u002FSKILL.md",[128],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},[130,131,132,133,26,30,134,28,135,136,137,115,138,24,39,139,140,141,34],"detector","silence detector","title","slides","time","at","recordings","detect","find","analysis","start","setup",{"skillNo":143,"name":144,"nameZh":6,"description":145,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":146,"categories":147,"keywords":148,"publishedAt":40},"01M6XEVT3NGRN1FT7JPMAPXS6M","segment-combiner","Combine multiple segment detection results into a unified list. Use when you need to merge segments from different detectors, prepare removal lists for video processing, or consolidate detection outputs.","https:\u002F\u002Fgithub.com\u002FWaaaalnut\u002Fskillsbench\u002Fblob\u002Fmain\u002Ftasks\u002Fvideo-silence-remover\u002Fenvironment\u002Fskills\u002Fsegment-combiner\u002FSKILL.md",[],[118,149,39,150,33,151,152,29,26,153,154,115,30,32,155,34,156,157],"segment combiner","detection","merge","video processing","outputs","combine","consolidate","results","list",{"skillNo":159,"name":160,"nameZh":6,"description":161,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":162,"categories":163,"keywords":167,"publishedAt":40},"01M6XEVMPVASGS2KX86QK4FMT7","report-generator","Generate compression reports for video processing. Use when you need to create structured JSON reports with duration statistics, compression ratios, and segment details after video processing.","https:\u002F\u002Fgithub.com\u002FWaaaalnut\u002Fskillsbench\u002Fblob\u002Fmain\u002Ftasks\u002Fvideo-silence-remover\u002Fenvironment\u002Fskills\u002Freport-generator\u002FSKILL.md",[164],{"categoryNo":165,"categoryName":166,"taxonomyType":81,"taxonomyTypeDesc":82},"01JBSEEDCAT000000000000034","行政与办公人员",[168,169,170,118,26,29,30,171,32,172,173,174,34,152,175,39,176,177,112],"generator","report generator","report","with","statistics","structured","reports","json","compression","generate"]