[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M70P10S4SWMZQ8BJAFBFDRW3":3,"skill-same:01M70P10S4SWMZQ8BJAFBFDRW3":75},{"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":28,"publishedAt":46,"linkOnly":47,"markdownContent":48,"markdownBody":49,"frontMatter":50,"refName":51,"commitSha":52,"skillDirectory":53,"forksCount":54,"repositoryHtmlUrl":55,"repositoryHomepageUrl":56,"ownerHtmlUrl":57,"ownerBlogUrl":58,"ownerDescription":59,"updatedAt":60,"install":61,"resources":74},"01M70P10S4SWMZQ8BJAFBFDRW3","youtube",null,"Launch the YouTube Creator Agent to auto-generate videos.\nUse when: user types \u002Fyoutube, wants to create YouTube videos,\ngenerate video content, or upload to YouTube.\nKeywords: youtube, video, 视频, 创作视频, 发布视频","shengdabai\u002FTony-Claude-Code-Skills","shengdabai","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F116417419?v=4","01M70F6D2WY5PQV5A92BKYJQEW","Tony Sheng","01M70F6D3GAAAYZ5H4CC1G8VXM",3,"MIT","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fyoutube\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":26,"taxonomyTypeDesc":27},"01JBSEEDCAT000000000000036","内容创作者","PROFESSION","适用职业",[5,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45],"video content","user","content","视频","creator","generate video","videos","launch","generate","create","upload","when","创作","use","auto","types","Video","2026-11-10 10:12:30",false,"---\nname: youtube\ndescription: |\n  Launch the YouTube Creator Agent to auto-generate videos.\n  Use when: user types \u002Fyoutube, wants to create YouTube videos,\n  generate video content, or upload to YouTube.\n  Keywords: youtube, video, 视频, 创作视频, 发布视频\n---\n\n# YouTube Creator Agent\n\nAuto-generate and upload YouTube videos from a topic.\n\n## What it does\n1. Takes a topic\u002Fidea from the user\n2. Generates a video script (title, description, narration segments)\n3. Creates TTS voiceover with edge-tts\n4. Composes video with ffmpeg (background + subtitles + narration)\n5. Uploads to YouTube via Data API v3\n\n## How to launch\n\nRun the agent in the terminal:\n\n```bash\ncd ~\u002Fyoutube-creator && PATH=\"$PATH:$HOME\u002FLibrary\u002FPython\u002F3.9\u002Fbin\" python3 youtube-creator.py\n```\n\nThen interact:\n```\nyoutube >> 做一个3分钟的视频，主题是\"如何用AI提升工作效率\"\n```\n\n## Quick mode (non-interactive)\n\nTo generate a video without entering interactive mode, use bash:\n\n```bash\ncd ~\u002Fyoutube-creator && PATH=\"$PATH:$HOME\u002FLibrary\u002FPython\u002F3.9\u002Fbin\" python3 -c \"\nfrom dotenv import load_dotenv; load_dotenv(override=True)\nimport os; os.environ['PATH'] += ':\u002FUsers\u002Fadam\u002FLibrary\u002FPython\u002F3.9\u002Fbin'\nexec(open('youtube-creator.py').read().split('if __name__')[0])\nhistory = [{'role': 'user', 'content': 'YOUR_TOPIC_HERE'}]\nagent_loop(history)\n\"\n```\n\n## Available tools in the agent\n- `bash` — shell commands\n- `read_file` \u002F `write_file` — file operations\n- `generate_assets` — TTS voiceover + SRT subtitles + background image\n- `compose_video` — ffmpeg video composition\n- `upload_youtube` — YouTube Data API v3 upload (OAuth required)\n\n## Configuration\n- LLM API: `~\u002Fyoutube-creator\u002F.env` (Kimi\u002FAnthropic compatible)\n- YouTube OAuth: `~\u002Fyoutube-creator\u002F.env` (Client ID + Secret)\n- Output directory: `~\u002Fyoutube-creator\u002Foutput\u002F`\n\n## First-time YouTube upload\nFirst upload will open a browser window for Google OAuth authorization.\nAfter that, the token is cached in `youtube_token.json`.\n","# YouTube Creator Agent\n\nAuto-generate and upload YouTube videos from a topic.\n\n## What it does\n1. Takes a topic\u002Fidea from the user\n2. Generates a video script (title, description, narration segments)\n3. Creates TTS voiceover with edge-tts\n4. Composes video with ffmpeg (background + subtitles + narration)\n5. Uploads to YouTube via Data API v3\n\n## How to launch\n\nRun the agent in the terminal:\n\n```bash\ncd ~\u002Fyoutube-creator && PATH=\"$PATH:$HOME\u002FLibrary\u002FPython\u002F3.9\u002Fbin\" python3 youtube-creator.py\n```\n\nThen interact:\n```\nyoutube >> 做一个3分钟的视频，主题是\"如何用AI提升工作效率\"\n```\n\n## Quick mode (non-interactive)\n\nTo generate a video without entering interactive mode, use bash:\n\n```bash\ncd ~\u002Fyoutube-creator && PATH=\"$PATH:$HOME\u002FLibrary\u002FPython\u002F3.9\u002Fbin\" python3 -c \"\nfrom dotenv import load_dotenv; load_dotenv(override=True)\nimport os; os.environ['PATH'] += ':\u002FUsers\u002Fadam\u002FLibrary\u002FPython\u002F3.9\u002Fbin'\nexec(open('youtube-creator.py').read().split('if __name__')[0])\nhistory = [{'role': 'user', 'content': 'YOUR_TOPIC_HERE'}]\nagent_loop(history)\n\"\n```\n\n## Available tools in the agent\n- `bash` — shell commands\n- `read_file` \u002F `write_file` — file operations\n- `generate_assets` — TTS voiceover + SRT subtitles + background image\n- `compose_video` — ffmpeg video composition\n- `upload_youtube` — YouTube Data API v3 upload (OAuth required)\n\n## Configuration\n- LLM API: `~\u002Fyoutube-creator\u002F.env` (Kimi\u002FAnthropic compatible)\n- YouTube OAuth: `~\u002Fyoutube-creator\u002F.env` (Client ID + Secret)\n- Output directory: `~\u002Fyoutube-creator\u002Foutput\u002F`\n\n## First-time YouTube upload\nFirst upload will open a browser window for Google OAuth authorization.\nAfter that, the token is cached in `youtube_token.json`.\n",{"name":5,"description":7},"main","7850740bd837adb32f0a109ab2af82482196c6f2","skills\u002Fyoutube",1,"https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills","https:\u002F\u002Fzturnsgo.com","https:\u002F\u002Fgithub.com\u002Fshengdabai","https:\u002F\u002Fzturnsgo.com\u002F","AI × education creator — producer, not consumer. Taught 6,000+ learners; shipping learning tools & daily essays with Claude Code, practicing @xiaolai's way 🥋","2026-11-01 21:28:23",{"source":8,"skillName":5,"commands":62,"prompt":72,"zipAvailable":73},[63,66,69],{"tool":64,"command":65},"npx","npx skills add shengdabai\u002FTony-Claude-Code-Skills --skill youtube",{"tool":67,"command":68},"bunx","bunx skills add shengdabai\u002FTony-Claude-Code-Skills --skill youtube",{"tool":70,"command":71},"pnpm","pnpm dlx skills add shengdabai\u002FTony-Claude-Code-Skills --skill youtube","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fyoutube\u002FSKILL.md",true,[],[76,93,122,144,164,176],{"skillNo":77,"name":78,"nameZh":6,"description":79,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":80,"categories":81,"keywords":85,"publishedAt":46},"01M70P17DAD4C1C47NPH6A96EM","xiaolai-methodology","以李笑来(Li Xiaolai)的思考方式、方法论与表达风格,为用户做全方位 1-on-1 教练指导,覆盖创业、赚钱、投资、学习、自学、读书写作、用 AI、以及人生心态与自我管理。当用户提到 \"李笑来\"、\"笑来\"、\"笑来老师\"、\"扮演李笑来\"、\"找笑来聊聊\"、\"笑来怎么看\"、\"xiaolai\"、\"把时间当作朋友\"、\"通往财富自由之路\"、\"定投改变命运\"、\"韭菜的自我修养\"、\"自学是门手艺\"、\"让时间陪你慢慢变富\"、\"七年就是一辈子\"、\"元认知\"、\"活在未来\"、\"复利\u002F长期主义\"、\"践行\"、\"痴迷改进\"、\"个人商业模式\u002F出售时间\"、\"睡后收入\"、\"定投\"、\"财富自由\"、\"操作系统升级\"、\"最少必要知识\"、\"北极星提示词\"、\"用 AI 该怎么学\u002F思考\" 等任一触发词,或当用户带着关于创业\u002F赚钱\u002F投资\u002F学习\u002F职业\u002F重大人生决策的困惑、希望被人用笑来式的「逻辑 + 大白话 + 类比 + 重新定义 + 践行导向」来点醒和指导时,自动进入李笑来教练模式。","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fxiaolai-methodology\u002FSKILL.md",[82],{"categoryNo":83,"categoryName":84,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000018","写作与文案",[86,87,88,89,90,91,92],"methodology","xiaolai","xiaolai methodology","朋友","投资","writing","收入",{"skillNo":94,"name":95,"nameZh":6,"description":96,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":97,"categories":98,"keywords":103,"publishedAt":46},"01M70P13NB9YP7ACJR1S861CDS","zread","Produce and consume a wiki-style knowledge base for a code repository via the `zread` CLI and its on-disk output under `.\u002F.zread\u002Fwiki\u002F`. Use this skill whenever the user wants to understand, onboard onto, explore, summarize, map, or get an overview of an unfamiliar codebase; asks for architecture docs, a project wiki, a repo walkthrough, module\u002Fpackage explanations, or \"what does this repo do\"; wants to generate, regenerate, resume, browse, or serve code documentation locally; or mentions zread \u002F zread.ai directly. Also use it proactively before diving into a large unknown repo — if `.\u002F.zread\u002Fwiki\u002Fcurrent` exists, read the generated pages instead of crawling source file-by-file; if it doesn't, consider offering to run `zread generate`. The trigger is the intent (understand a codebase through generated docs), not the literal word \"zread\".","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fzread\u002FSKILL.md",[99,100],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":101,"categoryName":102,"taxonomyType":26,"taxonomyTypeDesc":27},"01JBSEEDCAT000000000000030","开发工程师",[95,104,105,106,107,108,109,110,111,112,37,113,114,115,116,117,118,119,120,121],"map","knowledge","explore","walkthrough","project","get","generated","cli","run","intent","wiki","knowledge base","documentation","project wiki","disk","architecture","code","unknown",{"skillNo":123,"name":124,"nameZh":6,"description":125,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":126,"categories":127,"keywords":129,"publishedAt":46},"01M70P0YE95D8BACZCGV8BK90K","youtube-script-sync","Sync, update, or optimize Tony's GetNote knowledge base `Youtube视频逐字稿` by turning each parent recording or first-person idea note into an idempotent child note containing a directly recordable YouTube long-video or Shorts script. Use when the user says “更新\u002F同步\u002F优化 Youtube视频逐字稿知识库”, or says “更新\u002F同步\u002F优化该知识库” while this knowledge base is the active context.","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fyoutube-script-sync\u002FSKILL.md",[128],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[130,131,5,132,133,134,135,136,137,138,139,115,140,40,42,105,141,142,143,45],"sync","script","youtube script sync","active","base","person","update","first","child","optimize","idempotent","long","shorts","recording",{"skillNo":145,"name":146,"nameZh":6,"description":147,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":148,"categories":149,"keywords":154,"publishedAt":46},"01M70P0WMV5XT0EEC0N445PW07","writing-skills","How to write SKILL.md files that trigger reliably and teach effectively. Use when creating, improving, or reviewing Claude Code skills.","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fxiaolai\u002Fnlpm\u002Fskills\u002Fnlpm\u002Fwriting-skills\u002FSKILL.md",[150,151,152,153],{"categoryNo":83,"categoryName":84,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":101,"categoryName":102,"taxonomyType":26,"taxonomyTypeDesc":27},{"categoryNo":24,"categoryName":25,"taxonomyType":26,"taxonomyTypeDesc":27},[155,91,156,157,158,159,160,120,40,42,161,162,163],"writing skills","trigger","write skill","teach","write","how","claude code skills","files","how to",{"skillNo":165,"name":166,"nameZh":6,"description":167,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":168,"categories":169,"keywords":172,"publishedAt":46},"01M70P0SJFR4YVJQBGMHKGSKXT","writing-rules","How to write .claude\u002Frules\u002F files that Claude actually follows. Use when creating, improving, or reviewing project rules.","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fxiaolai\u002Fnlpm\u002Fskills\u002Fnlpm\u002Fwriting-rules\u002FSKILL.md",[170,171],{"categoryNo":83,"categoryName":84,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":24,"categoryName":25,"taxonomyType":26,"taxonomyTypeDesc":27},[173,174,91,175,42,159,160,40,162,163,108],"writing rules","Rules","project rules",{"skillNo":177,"name":178,"nameZh":6,"description":179,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":180,"categories":181,"keywords":185,"publishedAt":46},"01M70P0PMKHA9P7J0RFZGNHW5C","writing-prompts","How to write effective system prompts for any LLM. Universal prompt engineering -- role clarity, structured output, injection resistance, few-shot examples. Use when writing prompts, system instructions, or AI configuration.","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fxiaolai\u002Fnlpm\u002Fskills\u002Fnlpm\u002Fwriting-prompts\u002FSKILL.md",[182,183,184],{"categoryNo":83,"categoryName":84,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":24,"categoryName":25,"taxonomyType":26,"taxonomyTypeDesc":27},[91,186,187,40,163,188,189,190,191,42,192,193,194,195,196,160,159,197,198,199],"writing prompts","prompts","few-shot","structured output","for","system","prompt engineering","system prompts","instructions","examples","output","clarity","injection","prompt"]