{
  "text": "这个工具可以把任意一本书转化成一个skill,不仅仅是帮你总结分析,还可以让你用书里的知识去解决你遇到的具体问题。好不好用?看牛书给你们演示一下。好,就是这个工具,book2skill,将任何一本书的电子档转化成一个skill,在git上面已经6.9个星了。使用起来也非常方便,直接把这个skill的git地址发给codex就可以集成进去。具体的效果怎么样呢?我这里打开一本书的电子版,36页,是一个很火的博主野兽先生,他的内容创作的秘籍,全英文版。我们可以直接把这个书的电子版发给codex,同时write这个skill\n然后你会发现,他帮我把这本书做了一个分析,36页,约3000多个单词,4.4k原始token。如果说要把这本书转化成一个skill,需要消耗多少的token,都给你计算好了,包括对应的成本。接下来我可以让他帮我记忆这本书做一个报告分析,包括这本书的核心的框架在讲什么东西,以及里面的一些关键原则,提供了一些技巧方法。先帮你快速的梳理这本书到底是讲什么的。好,然后重点来了,梳理完书本之后,他可以基于这本书帮你生成一个skill,然后我们给这个skill起个名字,skill生成完\n你可以用这本书的skill帮你去策划一个视频内容,因为这本书主要讲内容怎么制作的,包括设计标题,前三分钟的结构,也可以让这本书的skill帮你去检查一份脚本,关于这份脚本的流传,包括点击率,包括关键元素,你也可以去查询这本书的指定内容,把当作一个搜索引擎去做。那我们是一个具体的案例,用我刚刚生成好的skill,这个skill是基于这本书去生成的,帮我策划一条关于宣传这个skill的短视频,就是自己宣传自己,我们看到怎么做的,这是他的一个核心创意,把Mr.Beast\n我给AI装上了Mr.Beast视频大脑,不错吧,封面的建议,好,脚本来了,60秒的口播脚本,以及必须拍到的核心画面,这个是基于这本书你介绍的一个内容创作的方法,帮你去做的一个宣传短视频的脚本设计,包括封面标题,好,除此之外呢,我还可以去问这本书里面有哪些章节,并且帮我解释这本书里面某个概念,能够帮我更好去吃豆这本书的关键内容,我们看一下这本书里面有四个章节,每个章节的核心框架,另外,这个里面的一个关键\n一个口播脚本,这个脚本好不好,我可以把这个脚本的地址,它是一MD的文件,发给这个skill,让他帮我判断这个脚本的CTR,流存节奏和Wall Factor,怎么样,这些指标正是这本书里面告诉我的,怎么去判断一个视频好坏,我的这个脚本,它的点击率还不错,10分有7分,流存节奏不太强,5.5分,Wall Factor就是抓住人注意力的,得分比较低,所以基于点击率的问题是怎么解决,流存节奏的问题怎么解决,包括这个惊喜点的改造,最后剩下一个新的脚本,怎么样,用这个方式不仅仅帮助你快速了\n用上来去解决你实际工作当中具体的问题,把一本书变成skill,学回来吧,好了,我是刘叔,关注我持续风比例来接近户,拜拜,拜拜",
  "language": "zh",
  "duration": 156.339938,
  "segments": [
    {
      "id": 0,
      "seek": 0,
      "start": 0.0,
      "end": 30.0,
      "text": "这个工具可以把任意一本书转化成一个skill,不仅仅是帮你总结分析,还可以让你用书里的知识去解决你遇到的具体问题。好不好用?看牛书给你们演示一下。好,就是这个工具,book2skill,将任何一本书的电子档转化成一个skill,在git上面已经6.9个星了。使用起来也非常方便,直接把这个skill的git地址发给codex就可以集成进去。具体的效果怎么样呢?我这里打开一本书的电子版,36页,是一个很火的博主野兽先生,他的内容创作的秘籍,全英文版。我们可以直接把这个书的电子版发给codex,同时write这个skill",
      "tokens": [
        50365,
        15368,
        23323,
        39806,
        6723,
        16075,
        26443,
        9042,
        2257,
        8802,
        2930,
        99,
        17819,
        105,
        23756,
        11336,
        20182,
        5161,
        373,
        11,
        1960,
        1550,
        227,
        1550,
        227,
        1541,
        4845,
        106,
        2166,
        33440,
        45641,
        6627,
        7360,
        238,
        11,
        14852,
        6723,
        33650,
        2166,
        9254,
        2930,
        99,
        15759,
        1546,
        6498,
        5233,
        228,
        6734,
        17278,
        5676,
        111,
        2166,
        3330,
        229,
        4511,
        1546,
        39806,
        29485,
        34069,
        1543,
        34291,
        9254,
        30,
        4200,
        40003,
        2930,
        99,
        23197,
        29806,
        31382,
        25696,
        8861,
        1543,
        2131,
        11,
        5620,
        15368,
        23323,
        39806,
        11,
        2939,
        17,
        5161,
        373,
        11,
        45456,
        26443,
        11906,
        2257,
        8802,
        2930,
        99,
        1546,
        42182,
        7626,
        21416,
        96,
        17819,
        105,
        23756,
        11336,
        20182,
        5161,
        373,
        11,
        3581,
        70,
        270,
        49750,
        49161,
        21,
        13,
        24,
        7549,
        20682,
        2289,
        1543,
        22982,
        9254,
        9147,
        6912,
        6404,
        14392,
        9249,
        27364,
        11,
        43297,
        16075,
        15368,
        5161,
        373,
        1546,
        70,
        270,
        10928,
        14872,
        222,
        28926,
        23197,
        22332,
        87,
        36781,
        26020,
        11336,
        36700,
        6734,
        1543,
        39806,
        29485,
        1546,
        43076,
        9319,
        48200,
        6240,
        30,
        1654,
        35102,
        12467,
        18937,
        2257,
        8802,
        2930,
        99,
        1546,
        42182,
        7626,
        42096,
        11,
        11309,
        10178,
        113,
        11,
        1541,
        20182,
        4563,
        26171,
        1546,
        5322,
        248,
        13557,
        37178,
        2347,
        121,
        33083,
        11,
        31309,
        34742,
        25750,
        2437,
        249,
        11914,
        1546,
        8204,
        246,
        22113,
        235,
        11,
        11319,
        27869,
        17174,
        42096,
        1543,
        15003,
        6723,
        43297,
        16075,
        15368,
        2930,
        99,
        1546,
        42182,
        7626,
        42096,
        28926,
        23197,
        22332,
        87,
        11,
        13089,
        15729,
        21561,
        15368,
        5161,
        373
      ],
      "temperature": 0,
      "avg_logprob": -0.11712164137098524,
      "compression_ratio": 1.4547511312217194,
      "no_speech_prob": 9.636140843594099e-12,
      "source": "whisper"
    },
    {
      "id": 1,
      "seek": 3000,
      "start": 30.0,
      "end": 60.0,
      "text": "然后你会发现,他帮我把这本书做了一个分析,36页,约3000多个单词,4.4k原始token。如果说要把这本书转化成一个skill,需要消耗多少的token,都给你计算好了,包括对应的成本。接下来我可以让他帮我记忆这本书做一个报告分析,包括这本书的核心的框架在讲什么东西,以及里面的一些关键原则,提供了一些技巧方法。先帮你快速的梳理这本书到底是讲什么的。好,然后重点来了,梳理完书本之后,他可以基于这本书帮你生成一个skill,然后我们给这个skill起个名字,skill生成完",
      "tokens": [
        50365,
        26636,
        2166,
        12949,
        28926,
        20204,
        11,
        5000,
        4845,
        106,
        1654,
        16075,
        5562,
        8802,
        2930,
        99,
        10907,
        2289,
        20182,
        6627,
        7360,
        238,
        11,
        11309,
        10178,
        113,
        11,
        16853,
        99,
        43160,
        6392,
        7549,
        47446,
        5233,
        235,
        11,
        19,
        13,
        19,
        74,
        19683,
        15476,
        83,
        8406,
        1543,
        13119,
        8090,
        4275,
        16075,
        5562,
        8802,
        2930,
        99,
        17819,
        105,
        23756,
        11336,
        20182,
        5161,
        373,
        11,
        35748,
        28837,
        4450,
        245,
        41492,
        1546,
        83,
        8406,
        11,
        7182,
        23197,
        2166,
        7422,
        94,
        19497,
        12621,
        11,
        41828,
        8713,
        44297,
        1546,
        11336,
        8802,
        1543,
        14468,
        4438,
        6912,
        1654,
        6723,
        33650,
        5000,
        4845,
        106,
        1654,
        34756,
        4263,
        228,
        5562,
        8802,
        2930,
        99,
        10907,
        20182,
        49817,
        16846,
        6627,
        7360,
        238,
        11,
        41828,
        5562,
        8802,
        2930,
        99,
        1546,
        8987,
        116,
        7945,
        1546,
        21416,
        228,
        7360,
        114,
        3581,
        39255,
        10440,
        38409,
        16220,
        11,
        40282,
        15759,
        8833,
        1546,
        38515,
        28053,
        23049,
        106,
        19683,
        2437,
        247,
        11,
        20949,
        3254,
        249,
        2289,
        38515,
        32502,
        43605,
        9249,
        11148,
        1543,
        10108,
        4845,
        106,
        2166,
        10251,
        31217,
        1546,
        19017,
        111,
        13876,
        5562,
        8802,
        2930,
        99,
        33883,
        1541,
        39255,
        10440,
        1546,
        1543,
        2131,
        11,
        26636,
        12624,
        12579,
        34912,
        11,
        19017,
        111,
        13876,
        14128,
        2930,
        99,
        8802,
        9574,
        13547,
        11,
        5000,
        6723,
        26008,
        37732,
        5562,
        8802,
        2930,
        99,
        4845,
        106,
        2166,
        8244,
        11336,
        20182,
        5161,
        373,
        11,
        26636,
        15003,
        23197,
        15368,
        5161,
        373,
        9147,
        7549,
        15940,
        22381,
        11,
        5161,
        373,
        8244,
        11336,
        14128
      ],
      "temperature": 0,
      "avg_logprob": -0.07911708643618186,
      "compression_ratio": 1.4950738916256157,
      "no_speech_prob": 1.468712998442534e-11,
      "source": "whisper"
    },
    {
      "id": 2,
      "seek": 6000,
      "start": 60.0,
      "end": 90.0,
      "text": "你可以用这本书的skill帮你去策划一个视频内容,因为这本书主要讲内容怎么制作的,包括设计标题,前三分钟的结构,也可以让这本书的skill帮你去检查一份脚本,关于这份脚本的流传,包括点击率,包括关键元素,你也可以去查询这本书的指定内容,把当作一个搜索引擎去做。那我们是一个具体的案例,用我刚刚生成好的skill,这个skill是基于这本书去生成的,帮我策划一条关于宣传这个skill的短视频,就是自己宣传自己,我们看到怎么做的,这是他的一个核心创意,把Mr.Beast",
      "tokens": [
        50365,
        42766,
        9254,
        5562,
        8802,
        2930,
        99,
        1546,
        5161,
        373,
        4845,
        106,
        2166,
        6734,
        7973,
        244,
        2437,
        240,
        20182,
        40656,
        39752,
        34742,
        25750,
        11,
        34627,
        5562,
        8802,
        2930,
        99,
        13557,
        4275,
        39255,
        34742,
        25750,
        15282,
        25491,
        11914,
        1546,
        11,
        41828,
        7422,
        122,
        7422,
        94,
        162,
        3921,
        30716,
        11,
        8945,
        10960,
        6627,
        50064,
        1546,
        45641,
        7360,
        226,
        11,
        47935,
        33650,
        5562,
        8802,
        2930,
        99,
        1546,
        5161,
        373,
        4845,
        106,
        2166,
        6734,
        16407,
        222,
        42623,
        2257,
        36266,
        27067,
        248,
        8802,
        11,
        28053,
        37732,
        5562,
        36266,
        27067,
        248,
        8802,
        1546,
        27854,
        7384,
        254,
        11,
        41828,
        12579,
        6336,
        119,
        44866,
        11,
        41828,
        28053,
        23049,
        106,
        14812,
        37204,
        11,
        2166,
        47935,
        6734,
        42623,
        5233,
        95,
        5562,
        8802,
        2930,
        99,
        1546,
        25922,
        12088,
        34742,
        25750,
        11,
        16075,
        16233,
        11914,
        20182,
        162,
        14987,
        7732,
        95,
        41301,
        13167,
        236,
        6734,
        10907,
        1543,
        4184,
        15003,
        1541,
        20182,
        39806,
        29485,
        1546,
        28899,
        17797,
        11,
        9254,
        1654,
        49160,
        49160,
        8244,
        11336,
        20715,
        5161,
        373,
        11,
        15368,
        5161,
        373,
        1541,
        26008,
        37732,
        5562,
        8802,
        2930,
        99,
        6734,
        8244,
        11336,
        1546,
        11,
        4845,
        106,
        1654,
        7973,
        244,
        2437,
        240,
        2257,
        48837,
        28053,
        37732,
        2415,
        96,
        7384,
        254,
        15368,
        5161,
        373,
        1546,
        5881,
        255,
        40656,
        39752,
        11,
        5620,
        17645,
        2415,
        96,
        7384,
        254,
        17645,
        11,
        15003,
        18032,
        15282,
        10907,
        1546,
        11,
        27455,
        31309,
        20182,
        8987,
        116,
        7945,
        2437,
        249,
        9042,
        11,
        16075,
        10554,
        13,
        6524,
        525
      ],
      "temperature": 0,
      "avg_logprob": -0.05743508274779726,
      "compression_ratio": 1.5447570332480818,
      "no_speech_prob": 1.1836360017114522e-11,
      "source": "whisper"
    },
    {
      "id": 3,
      "seek": 9000,
      "start": 90.0,
      "end": 120.0,
      "text": "我给AI装上了Mr.Beast视频大脑,不错吧,封面的建议,好,脚本来了,60秒的口播脚本,以及必须拍到的核心画面,这个是基于这本书你介绍的一个内容创作的方法,帮你去做的一个宣传短视频的脚本设计,包括封面标题,好,除此之外呢,我还可以去问这本书里面有哪些章节,并且帮我解释这本书里面某个概念,能够帮我更好去吃豆这本书的关键内容,我们看一下这本书里面有四个章节,每个章节的核心框架,另外,这个里面的一个关键",
      "tokens": [
        50365,
        1654,
        23197,
        48698,
        8083,
        227,
        5708,
        2289,
        10554,
        13,
        6524,
        525,
        40656,
        39752,
        3582,
        27067,
        239,
        11,
        1960,
        29900,
        6062,
        11,
        1530,
        223,
        8833,
        1546,
        34157,
        7422,
        106,
        11,
        2131,
        11,
        27067,
        248,
        8802,
        34912,
        11,
        4550,
        20956,
        1546,
        18144,
        49993,
        27067,
        248,
        8802,
        11,
        40282,
        28531,
        10178,
        119,
        31113,
        4511,
        1546,
        8987,
        116,
        7945,
        27126,
        8833,
        11,
        15368,
        1541,
        26008,
        37732,
        5562,
        8802,
        2930,
        99,
        2166,
        30312,
        10115,
        235,
        1546,
        20182,
        34742,
        25750,
        2437,
        249,
        11914,
        1546,
        9249,
        11148,
        11,
        4845,
        106,
        2166,
        6734,
        10907,
        1546,
        20182,
        2415,
        96,
        7384,
        254,
        5881,
        255,
        40656,
        39752,
        1546,
        27067,
        248,
        8802,
        7422,
        122,
        7422,
        94,
        11,
        41828,
        1530,
        223,
        8833,
        162,
        3921,
        30716,
        11,
        2131,
        11,
        32999,
        17947,
        9574,
        12022,
        6240,
        11,
        1654,
        14852,
        6723,
        6734,
        22064,
        5562,
        8802,
        2930,
        99,
        15759,
        8833,
        2412,
        17028,
        13824,
        11957,
        254,
        45161,
        11,
        3509,
        114,
        20334,
        4845,
        106,
        1654,
        17278,
        5873,
        232,
        5562,
        8802,
        2930,
        99,
        15759,
        8833,
        17238,
        238,
        7549,
        26181,
        33679,
        11,
        8225,
        1787,
        253,
        4845,
        106,
        1654,
        19002,
        2131,
        6734,
        10123,
        45169,
        5562,
        8802,
        2930,
        99,
        1546,
        28053,
        23049,
        106,
        34742,
        25750,
        11,
        15003,
        28324,
        5562,
        8802,
        2930,
        99,
        15759,
        8833,
        2412,
        19425,
        7549,
        11957,
        254,
        45161,
        11,
        23664,
        7549,
        11957,
        254,
        45161,
        1546,
        8987,
        116,
        7945,
        21416,
        228,
        7360,
        114,
        11,
        26202,
        11,
        15368,
        15759,
        8833,
        1546,
        20182,
        28053,
        23049,
        106
      ],
      "temperature": 0,
      "avg_logprob": -0.054185315632499384,
      "compression_ratio": 1.471698113207547,
      "no_speech_prob": 1.2569361350356356e-11,
      "source": "whisper"
    },
    {
      "id": 4,
      "seek": 12000,
      "start": 120.0,
      "end": 150.0,
      "text": "一个口播脚本,这个脚本好不好,我可以把这个脚本的地址,它是一MD的文件,发给这个skill,让他帮我判断这个脚本的CTR,流存节奏和Wall Factor,怎么样,这些指标正是这本书里面告诉我的,怎么去判断一个视频好坏,我的这个脚本,它的点击率还不错,10分有7分,流存节奏不太强,5.5分,Wall Factor就是抓住人注意力的,得分比较低,所以基于点击率的问题是怎么解决,流存节奏的问题怎么解决,包括这个惊喜点的改造,最后剩下一个新的脚本,怎么样,用这个方式不仅仅帮助你快速了",
      "tokens": [
        50365,
        20182,
        18144,
        49993,
        27067,
        248,
        8802,
        11,
        15368,
        27067,
        248,
        8802,
        34291,
        11,
        1654,
        6723,
        16075,
        15368,
        27067,
        248,
        8802,
        1546,
        10928,
        14872,
        222,
        11,
        11284,
        1541,
        2257,
        44,
        35,
        1546,
        17174,
        20485,
        11,
        28926,
        23197,
        15368,
        5161,
        373,
        11,
        33650,
        5000,
        4845,
        106,
        1654,
        2437,
        97,
        4307,
        255,
        15368,
        27067,
        248,
        8802,
        1546,
        10259,
        49,
        11,
        27854,
        39781,
        45161,
        1881,
        237,
        12565,
        54,
        336,
        479,
        15104,
        11,
        48200,
        11,
        5562,
        13824,
        25922,
        162,
        3921,
        15789,
        1541,
        5562,
        8802,
        2930,
        99,
        15759,
        8833,
        44816,
        14200,
        11,
        15282,
        6734,
        2437,
        97,
        4307,
        255,
        20182,
        40656,
        39752,
        2131,
        14872,
        237,
        11,
        14200,
        15368,
        27067,
        248,
        8802,
        11,
        45224,
        12579,
        6336,
        119,
        44866,
        14852,
        1960,
        29900,
        11,
        3279,
        6627,
        2412,
        22,
        6627,
        11,
        27854,
        39781,
        45161,
        1881,
        237,
        1960,
        9455,
        5702,
        118,
        11,
        20,
        13,
        20,
        6627,
        11,
        54,
        336,
        479,
        15104,
        5620,
        43069,
        21632,
        4035,
        40794,
        13486,
        1546,
        11,
        5916,
        6627,
        11706,
        9830,
        225,
        41377,
        11,
        7239,
        26008,
        37732,
        12579,
        6336,
        119,
        44866,
        1546,
        34069,
        1541,
        15282,
        17278,
        5676,
        111,
        11,
        27854,
        39781,
        45161,
        1881,
        237,
        1546,
        34069,
        15282,
        17278,
        5676,
        111,
        11,
        41828,
        15368,
        4799,
        232,
        13620,
        12579,
        1546,
        34490,
        37583,
        11,
        8661,
        13547,
        5935,
        102,
        4438,
        20182,
        12560,
        1546,
        27067,
        248,
        8802,
        11,
        48200,
        11,
        9254,
        15368,
        9249,
        27584,
        1960,
        1550,
        227,
        1550,
        227,
        4845,
        106,
        37618,
        2166,
        10251,
        31217,
        2289
      ],
      "temperature": 0,
      "avg_logprob": -0.06361330143539361,
      "compression_ratio": 1.4852216748768472,
      "no_speech_prob": 1.0453246775121716e-11,
      "source": "whisper"
    },
    {
      "id": 5,
      "seek": 15000,
      "start": 150.0,
      "end": 156.08,
      "text": "用上来去解决你实际工作当中具体的问题,把一本书变成skill,学回来吧,好了,我是刘叔,关注我持续风比例来接近户,拜拜,拜拜",
      "tokens": [
        50365,
        9254,
        5708,
        6912,
        6734,
        17278,
        5676,
        111,
        2166,
        24726,
        8842,
        227,
        41315,
        16233,
        5975,
        39806,
        29485,
        1546,
        34069,
        11,
        16075,
        2257,
        8802,
        2930,
        99,
        2129,
        246,
        11336,
        5161,
        373,
        11,
        29618,
        8350,
        6912,
        6062,
        11,
        12621,
        11,
        15914,
        2437,
        246,
        39936,
        11,
        28053,
        26432,
        1654,
        17694,
        10115,
        255,
        47209,
        11706,
        17797,
        6912,
        14468,
        17463,
        1486,
        115,
        11,
        35105,
        11,
        35105,
        50669
      ],
      "temperature": 0,
      "avg_logprob": -0.23861956217932323,
      "compression_ratio": 1.0384615384615385,
      "no_speech_prob": 1.3477633939440459e-11,
      "source": "whisper"
    }
  ],
  "transcript_selection": {
    "schema": "videonote.transcript_selection.v1",
    "status": "SELECTED",
    "requested_language": "zh",
    "duration": 156.339938,
    "reference_path": null,
    "reference_kind": null,
    "reference_language": null,
    "selected_source": "whisper_segmented",
    "decision_reason": "source_unavailable_or_untrusted_whisper_passed",
    "whisper_rejected": false,
    "source_profile": {
      "segment_count": 0,
      "duration_coverage": 0.0,
      "usable_full": false,
      "usable_partial": false,
      "hallucination_region_count": 0,
      "hallucination_regions": [],
      "language": {
        "requested": "zh",
        "matched": false
      }
    },
    "whisper_profile": {
      "segment_count": 6,
      "multilingual": false,
      "first_start": 0.0,
      "final_end": 156.08,
      "duration_coverage": 0.998337,
      "maximum_gap_seconds": 0.0,
      "inverted_count": 0,
      "language": {
        "requested": "zh",
        "matched": true,
        "latin": 157,
        "han": 953,
        "kana": 0,
        "hangul": 0
      },
      "hallucination_region_count": 0,
      "hallucination_regions": [],
      "usable_full": true,
      "usable_partial": true
    },
    "comparison": {
      "window_seconds": 30.0,
      "compared_window_count": 0,
      "median_score": 0.0,
      "divergent_window_count": 0,
      "divergent_ratio": 0.0,
      "divergent_windows": []
    },
    "timestamp_alignment": {
      "applied": false,
      "estimated_offset_seconds": 0.0,
      "matched_segment_count": 0,
      "match_scores": []
    },
    "filled_source_profile": null,
    "whisper_duration_guard": {
      "media_duration": 156.34,
      "rejected_segment_count": 0,
      "rejected_segments": []
    }
  }
}