[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DD7RHSM7FWDP1BHY4A6Z1V":3,"skill-same:01M6DD7RHSM7FWDP1BHY4A6Z1V":69},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":23,"publishedAt":44,"linkOnly":45,"markdownContent":46,"markdownBody":47,"frontMatter":48,"refName":49,"commitSha":50,"skillDirectory":51,"forksCount":14,"repositoryHtmlUrl":52,"repositoryHomepageUrl":6,"ownerHtmlUrl":53,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":54,"install":55,"resources":68},"01M6DD7RHSM7FWDP1BHY4A6Z1V","audio-extract-mix",null,"Use when you need to EXTRACT, MIX, REPLACE, DUCK, or LOUDNESS-NORMALIZE audio on a video\u002Fclip with ffmpeg — e.g. pull a wav out of a clip, lay a music bed or VO UNDER a speaker so it auto-dips when they talk (sidechain ducking), normalize an export to a per-platform LUFS target (-14 for TikTok\u002FReels\u002FShorts\u002FYouTube, -23 EBU R128 broadcast, -24 ATSC), mux\u002Freplace\u002Fstrip an audio track while preserving all other streams, or turn the soundtrack into laughter\u002Fapplause\u002F music\u002Floudness saliency signals. The exact filter graphs, argv lists, codec\u002Fmap choices, and the pitfalls that actually bite (amix auto-attenuation, -shortest duration, stream-index = list-order coupling, mono\u002F32k decode for PANNs, loudnorm single-pass drift) come from the real media_studio source cited below. Do NOT use for: per-word transcription\u002Falignment (use ASR\u002FCTC modules), TTS dub GENERATION (this only muxes a finished dub), pitch\u002Ftempo time-stretch, or pure visual edits. Do NOT use as a generic \"run ffmpeg\" reference — it is scoped to these audio ops with the project's frozen wire surface.","Prekzursil\u002Fagent-skills-toolchain","Prekzursil","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F54636077?v=4","01M6DACZ1PCQHD99SCR1YXG28B","Andrei Mihai Visalon","01M6DACZ670WZF535V3WYYSS4Z",0,"MIT","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fplatform\u002Frouting\u002Ffixtures\u002Fhome\u002F.claude\u002Fskills\u002Faudio-extract-mix\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43],"audio extract mix","Audio","extract","alignment","as","normalize","platform","project","time","map","tiktok","do","pull","modules","only","clip","Word","tts","Media","Video","2026-11-10 10:12:30",false,"---\nname: audio-extract-mix\ndescription: >-\n  Use when you need to EXTRACT, MIX, REPLACE, DUCK, or LOUDNESS-NORMALIZE audio\n  on a video\u002Fclip with ffmpeg — e.g. pull a wav out of a clip, lay a music bed or\n  VO UNDER a speaker so it auto-dips when they talk (sidechain ducking), normalize\n  an export to a per-platform LUFS target (-14 for TikTok\u002FReels\u002FShorts\u002FYouTube,\n  -23 EBU R128 broadcast, -24 ATSC), mux\u002Freplace\u002Fstrip an audio track while\n  preserving all other streams, or turn the soundtrack into laughter\u002Fapplause\u002F\n  music\u002Floudness saliency signals. The exact filter graphs, argv lists, codec\u002Fmap\n  choices, and the pitfalls that actually bite (amix auto-attenuation, -shortest\n  duration, stream-index = list-order coupling, mono\u002F32k decode for PANNs,\n  loudnorm single-pass drift) come from the real media_studio source cited below.\n  Do NOT use for: per-word transcription\u002Falignment (use ASR\u002FCTC modules), TTS dub\n  GENERATION (this only muxes a finished dub), pitch\u002Ftempo time-stretch, or pure\n  visual edits. Do NOT use as a generic \"run ffmpeg\" reference — it is scoped to\n  these audio ops with the project's frozen wire surface.\n---\n\n# audio-extract-mix\n\nExtract \u002F mix \u002F replace \u002F duck \u002F loudness-normalize audio on a clip, the way the\nReframe media_studio sidecar actually does it. Every command below is copied from\nreal source — no invented flags.\n\n## Source modules (read these for ground truth)\n\n- `sidecar\u002Fmedia_studio\u002Ffeatures\u002Faudiomix.py` — `audiomix.merge` (duck→mix→loudnorm)\n  + `audiomix.normalize` (loudnorm only). Owns `build_mix_filter`,\n  `build_mix_argv`, `build_loudnorm_argv`, `PLATFORM_LOUDNESS`,\n  `resolve_loudness_target`.\n- `sidecar\u002Fmedia_studio\u002Ffeatures\u002Ftracks_audio.py` — `tracks.audio.{list,mux,replace,strip}`.\n  Owns `build_mux_argv`, `build_replace_argv`, `build_strip_audio_argv`,\n  `probe_streams`, `original_tracks_from_probe`.\n- `sidecar\u002Fmedia_studio\u002Ffeatures\u002Faudio_saliency.py` — PANNs CNN14 audio tagging +\n  pure RMS `loudness_curve`. Owns `compute_audio_signals`, `peak_windows`,\n  `sample_windows`, the decode argv in `_default_audio_loader`.\n- `sidecar\u002Fmedia_studio\u002Fffmpeg.py` — the shared seam: `ffmpeg_path` \u002F\n  `ffprobe_path` (resolve binary by absolute path), `run` (argv-list Popen,\n  both pipes drained, `-progress` parsing, cooperative cancel),\n  `ffprobe_duration` (drives the progress %).\n\nThe whole module follows one law (audiomix.py docstring, CONTRACTS §4\u002F§6\u002F§7):\n**argv LISTS only, never `shell=True`**; the filter graph and every path is a\nsingle argv element; the ffmpeg binary is resolved by absolute path; both stdout\nand stderr are drained by the shared `run`. Keep that when you hand-run these.\n\n### Recipe 1 — Mix a music bed \u002F VO UNDER speech with sidechain ducking + loudnorm\n### Recipe 2 — Loudness-normalize an export (no bed)\n### Per-platform LUFS targets (`PLATFORM_LOUDNESS`, audiomix.py:67-80)\n### Recipe 3 — Extract \u002F decode audio to raw samples\n### Recipe 4 — Mux \u002F replace \u002F strip an audio track (preserve everything else)\n### Pitfalls that actually bite\n### GPU \u002F HF-model notes (audio_saliency only)\n### Worked example: lay a -10 dB music bed under a TikTok clip at -14 LUFS\n","# audio-extract-mix\n\nExtract \u002F mix \u002F replace \u002F duck \u002F loudness-normalize audio on a clip, the way the\nReframe media_studio sidecar actually does it. Every command below is copied from\nreal source — no invented flags.\n\n## Source modules (read these for ground truth)\n\n- `sidecar\u002Fmedia_studio\u002Ffeatures\u002Faudiomix.py` — `audiomix.merge` (duck→mix→loudnorm)\n  + `audiomix.normalize` (loudnorm only). Owns `build_mix_filter`,\n  `build_mix_argv`, `build_loudnorm_argv`, `PLATFORM_LOUDNESS`,\n  `resolve_loudness_target`.\n- `sidecar\u002Fmedia_studio\u002Ffeatures\u002Ftracks_audio.py` — `tracks.audio.{list,mux,replace,strip}`.\n  Owns `build_mux_argv`, `build_replace_argv`, `build_strip_audio_argv`,\n  `probe_streams`, `original_tracks_from_probe`.\n- `sidecar\u002Fmedia_studio\u002Ffeatures\u002Faudio_saliency.py` — PANNs CNN14 audio tagging +\n  pure RMS `loudness_curve`. Owns `compute_audio_signals`, `peak_windows`,\n  `sample_windows`, the decode argv in `_default_audio_loader`.\n- `sidecar\u002Fmedia_studio\u002Fffmpeg.py` — the shared seam: `ffmpeg_path` \u002F\n  `ffprobe_path` (resolve binary by absolute path), `run` (argv-list Popen,\n  both pipes drained, `-progress` parsing, cooperative cancel),\n  `ffprobe_duration` (drives the progress %).\n\nThe whole module follows one law (audiomix.py docstring, CONTRACTS §4\u002F§6\u002F§7):\n**argv LISTS only, never `shell=True`**; the filter graph and every path is a\nsingle argv element; the ffmpeg binary is resolved by absolute path; both stdout\nand stderr are drained by the shared `run`. Keep that when you hand-run these.\n\n### Recipe 1 — Mix a music bed \u002F VO UNDER speech with sidechain ducking + loudnorm\n### Recipe 2 — Loudness-normalize an export (no bed)\n### Per-platform LUFS targets (`PLATFORM_LOUDNESS`, audiomix.py:67-80)\n### Recipe 3 — Extract \u002F decode audio to raw samples\n### Recipe 4 — Mux \u002F replace \u002F strip an audio track (preserve everything else)\n### Pitfalls that actually bite\n### GPU \u002F HF-model notes (audio_saliency only)\n### Worked example: lay a -10 dB music bed under a TikTok clip at -14 LUFS\n",{"name":5,"description":7},"main","a298c929b6cbd662e1fce54302ce520d5ceea1a5","platform\u002Frouting\u002Ffixtures\u002Fhome\u002F.claude\u002Fskills\u002Faudio-extract-mix","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain","https:\u002F\u002Fgithub.com\u002FPrekzursil","2026-11-02 14:30:57",{"source":8,"skillName":5,"commands":56,"prompt":66,"zipAvailable":67},[57,60,63],{"tool":58,"command":59},"npx","npx skills add Prekzursil\u002Fagent-skills-toolchain --skill audio-extract-mix",{"tool":61,"command":62},"bunx","bunx skills add Prekzursil\u002Fagent-skills-toolchain --skill audio-extract-mix",{"tool":64,"command":65},"pnpm","pnpm dlx skills add Prekzursil\u002Fagent-skills-toolchain --skill audio-extract-mix","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fplatform\u002Frouting\u002Ffixtures\u002Fhome\u002F.claude\u002Fskills\u002Faudio-extract-mix\u002FSKILL.md",true,[],[70,92,120,147,160,176],{"skillNo":71,"name":72,"nameZh":6,"description":73,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":74,"categories":75,"keywords":76,"publishedAt":44},"01M6DF7D7478R55P46REYH4QAC","clarify-requirements","Resolve genuine pre-execution ambiguity by scanning repo context, generating 1-6 grounded options, and asking 1-3 focused questions via AskUserQuestion. NOT for mid-task use (injection risk); NOT when the goal is already unambiguous; use to disambiguate vague prompts before any file edits.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Fworkspace-hooks\u002Fskills\u002Fclarify-requirements\u002FSKILL.md",[],[77,78,79,80,81,82,83,84,85,86,87,88,89,90,91],"clarify requirements","clarify","requirements","risk","options","task","prompts","goal","scanning","use","context","repo","injection","execution","file",{"skillNo":93,"name":94,"nameZh":6,"description":95,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":96,"categories":97,"keywords":101,"publishedAt":44},"01M6DF79CA4BHJS66J8EZDBPWJ","openmm-md","Run FREE, open-source, Windows-native GPU molecular dynamics via the openmm-md MCP (OpenMM + CUDA on the local NVIDIA GPU). Use for protein \u002F protein-ligand MD when you want a free stack or are on Windows without a Schrodinger license. Covers the full workflow (prepare, solvate, minimize, equilibrate, production, analyze, mmgbsa) AND an honest decision guide vs Schrodinger Desmond, including how to run Desmond legitimately on Linux or a cloud GPU with a real license. This is a deliberately LESSER free alternative and does NOT replace the schrodinger MCP tools. Do NOT use it to pick a free tool when a validated FEP+, WaterMap, IFD-MD, or Prime MM-GBSA result is actually required.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Fmcp\u002Fopenmm-md-mcp\u002Fskill\u002Fopenmm-md\u002FSKILL.md",[98],{"categoryNo":99,"categoryName":100,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[102,103,104,105,106,107,108,109,110,111,112,113,114,115,86,116,117,118,35,119],"openmm md","how","decision","pick","linux","analyze","tool","stack","open","NVIDIA","gpu","license","workflow","windows","free","molecular dynamics","local","MCP",{"skillNo":121,"name":122,"nameZh":6,"description":123,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":124,"categories":125,"keywords":132,"publishedAt":44},"01M6DF76C1MG85VEWP8VZCBNMN","visual-review","Take screenshots of web pages and UI using Playwright for visual review and iteration","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fvisual-review\u002FSKILL.md",[126,129],{"categoryNo":127,"categoryName":128,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":130,"categoryName":131,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",[133,134,135,136,137,138,139,140,141,142,103,143,144,145,146],"review","visual","visual review","pages","web","false","iteration","take","check","slides","ui","screenshot","playwright","screenshots",{"skillNo":148,"name":149,"nameZh":6,"description":150,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":151,"categories":152,"keywords":153,"publishedAt":44},"01M6DF73AQVCBZKEN0YXEX9FXP","status","Diagnostic status report — shows metaswarm installation state, project setup, and potential issues","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fstatus\u002FSKILL.md",[],[149,154,155,31,156,157,158,159],"setup","report","installation","project setup","issues","state",{"skillNo":161,"name":162,"nameZh":6,"description":163,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":164,"categories":165,"keywords":167,"publishedAt":44},"01M6DF6X6C2XB0P6GX76P7TTYV","start","Use when starting work on any task, when the user mentions metaswarm, or when the user wants to begin tracked development work","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fstart\u002FSKILL.md",[166],{"categoryNo":99,"categoryName":100,"taxonomyType":21,"taxonomyTypeDesc":22},[162,168,82,169,170,171,86,172,173,174,175],"start issue","issue","ready","work on issue","user","work","work on","development",{"skillNo":177,"name":154,"nameZh":6,"description":178,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":179,"categories":180,"keywords":181,"publishedAt":44},"01M6DF6QMJ9AJKFKHHKRT005PQ","Interactive project setup — detects your project, configures metaswarm, writes project-local files","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fsetup\u002FSKILL.md",[],[154,31,118,182,157,183],"files","interactive"]