[{"data":1,"prerenderedAt":6021},["ShallowReactive",2],{"best-practices:content-creation":3,"content-manifest":3378},{"id":4,"title":5,"body":6,"category":3360,"date":3361,"description":3362,"difficulty":3363,"extension":3364,"meta":3365,"navigation":134,"path":3366,"seo":3367,"source":3361,"sourceName":3361,"sourceType":3368,"stem":3369,"tags":3370,"updatedAt":3376,"__hash__":3377},"bestPractices/best-practices/content-creation.md","内容创作助手",{"type":7,"value":8,"toc":3320},"minimark",[9,12,16,20,87,89,93,257,260,474,477,583,586,1079,1081,1084,1227,1230,1311,1314,1480,1483,1633,1635,1639,1760,1763,1947,1950,2052,2054,2057,2287,2290,2432,2435,2846,2849,2852,3003,3006,3051,3054,3057,3080,3083,3103,3106,3126,3129,3132,3135,3193,3196,3199,3257,3260,3263,3291,3294,3316],[10,11,5],"h1",{"id":5},[13,14,15],"p",{},"本文介绍如何使用 OpenClaw 构建完整的内容创作工作流，提升写作效率和质量。",[17,18,19],"h2",{"id":19},"核心场景",[21,22,23,39],"table",{},[24,25,26],"thead",{},[27,28,29,33,36],"tr",{},[30,31,32],"th",{},"场景",[30,34,35],{},"描述",[30,37,38],{},"适用人群",[40,41,42,54,65,76],"tbody",{},[27,43,44,48,51],{},[45,46,47],"td",{},"写作辅助",[45,49,50],{},"大纲生成、内容扩写、风格调整",[45,52,53],{},"博主、作者",[27,55,56,59,62],{},[45,57,58],{},"多语言翻译",[45,60,61],{},"文档翻译、本地化适配",[45,63,64],{},"跨境团队",[27,66,67,70,73],{},[45,68,69],{},"内容优化",[45,71,72],{},"SEO 优化、可读性提升",[45,74,75],{},"内容运营",[27,77,78,81,84],{},[45,79,80],{},"多平台发布",[45,82,83],{},"一键分发到多个平台",[45,85,86],{},"自媒体",[17,88,47],{"id":47},[90,91,92],"h3",{"id":92},"大纲生成",[94,95,100],"pre",{"className":96,"code":97,"language":98,"meta":99,"style":99},"language-python shiki shiki-themes github-light github-dark","async def generate_outline(topic, style=\"professional\"):\n    \"\"\"生成文章大纲\"\"\"\n    prompt = f\"\"\"\n    为以下主题生成文章大纲：\n\n    主题：{topic}\n    风格：{style}\n\n    要求：\n    1. 结构清晰，层次分明\n    2. 每个章节有明确的小标题\n    3. 预估每个章节的字数\n    4. 标注需要补充的数据或案例\n\n    输出格式：\n    # 标题\n\n    ## 一、章节名（约 X 字）\n    - 要点 1\n    - 要点 2\n\n    ## 二、章节名（约 X 字）\n    ...\n    \"\"\"\n\n    return await generate_response(prompt)\n","python","",[101,102,103,111,117,123,129,136,142,148,153,159,165,171,177,183,188,194,200,205,211,217,223,228,234,240,246,251],"code",{"__ignoreMap":99},[104,105,108],"span",{"class":106,"line":107},"line",1,[104,109,110],{},"async def generate_outline(topic, style=\"professional\"):\n",[104,112,114],{"class":106,"line":113},2,[104,115,116],{},"    \"\"\"生成文章大纲\"\"\"\n",[104,118,120],{"class":106,"line":119},3,[104,121,122],{},"    prompt = f\"\"\"\n",[104,124,126],{"class":106,"line":125},4,[104,127,128],{},"    为以下主题生成文章大纲：\n",[104,130,132],{"class":106,"line":131},5,[104,133,135],{"emptyLinePlaceholder":134},true,"\n",[104,137,139],{"class":106,"line":138},6,[104,140,141],{},"    主题：{topic}\n",[104,143,145],{"class":106,"line":144},7,[104,146,147],{},"    风格：{style}\n",[104,149,151],{"class":106,"line":150},8,[104,152,135],{"emptyLinePlaceholder":134},[104,154,156],{"class":106,"line":155},9,[104,157,158],{},"    要求：\n",[104,160,162],{"class":106,"line":161},10,[104,163,164],{},"    1. 结构清晰，层次分明\n",[104,166,168],{"class":106,"line":167},11,[104,169,170],{},"    2. 每个章节有明确的小标题\n",[104,172,174],{"class":106,"line":173},12,[104,175,176],{},"    3. 预估每个章节的字数\n",[104,178,180],{"class":106,"line":179},13,[104,181,182],{},"    4. 标注需要补充的数据或案例\n",[104,184,186],{"class":106,"line":185},14,[104,187,135],{"emptyLinePlaceholder":134},[104,189,191],{"class":106,"line":190},15,[104,192,193],{},"    输出格式：\n",[104,195,197],{"class":106,"line":196},16,[104,198,199],{},"    # 标题\n",[104,201,203],{"class":106,"line":202},17,[104,204,135],{"emptyLinePlaceholder":134},[104,206,208],{"class":106,"line":207},18,[104,209,210],{},"    ## 一、章节名（约 X 字）\n",[104,212,214],{"class":106,"line":213},19,[104,215,216],{},"    - 要点 1\n",[104,218,220],{"class":106,"line":219},20,[104,221,222],{},"    - 要点 2\n",[104,224,226],{"class":106,"line":225},21,[104,227,135],{"emptyLinePlaceholder":134},[104,229,231],{"class":106,"line":230},22,[104,232,233],{},"    ## 二、章节名（约 X 字）\n",[104,235,237],{"class":106,"line":236},23,[104,238,239],{},"    ...\n",[104,241,243],{"class":106,"line":242},24,[104,244,245],{},"    \"\"\"\n",[104,247,249],{"class":106,"line":248},25,[104,250,135],{"emptyLinePlaceholder":134},[104,252,254],{"class":106,"line":253},26,[104,255,256],{},"    return await generate_response(prompt)\n",[90,258,259],{"id":259},"内容扩写",[94,261,265],{"className":262,"code":263,"language":264,"meta":99,"style":99},"language-json shiki shiki-themes github-light github-dark","{\n  \"workflow\": {\n    \"id\": \"content-expansion\",\n    \"name\": \"内容扩写\",\n    \"trigger\": {\n      \"type\": \"manual\"\n    },\n    \"steps\": [\n      {\n        \"id\": \"analyze\",\n        \"type\": \"ai\",\n        \"prompt\": \"分析以下大纲，确定扩写重点：\\n{{outline}}\"\n      },\n      {\n        \"id\": \"expand\",\n        \"type\": \"ai\",\n        \"prompt\": \"根据大纲和分析结果，扩写完整文章：\\n\\n大纲：{{outline}}\\n\\n分析：{{analyze.result}}\\n\\n要求：\\n1. 保持专业风格\\n2. 添加具体案例\\n3. 控制在 2000-3000 字\"\n      }\n    ]\n  }\n}\n","json",[101,266,267,273,282,297,309,316,326,331,339,344,356,368,384,389,393,404,414,454,459,464,469],{"__ignoreMap":99},[104,268,269],{"class":106,"line":107},[104,270,272],{"class":271},"sVt8B","{\n",[104,274,275,279],{"class":106,"line":113},[104,276,278],{"class":277},"sj4cs","  \"workflow\"",[104,280,281],{"class":271},": {\n",[104,283,284,287,290,294],{"class":106,"line":119},[104,285,286],{"class":277},"    \"id\"",[104,288,289],{"class":271},": ",[104,291,293],{"class":292},"sZZnC","\"content-expansion\"",[104,295,296],{"class":271},",\n",[104,298,299,302,304,307],{"class":106,"line":125},[104,300,301],{"class":277},"    \"name\"",[104,303,289],{"class":271},[104,305,306],{"class":292},"\"内容扩写\"",[104,308,296],{"class":271},[104,310,311,314],{"class":106,"line":131},[104,312,313],{"class":277},"    \"trigger\"",[104,315,281],{"class":271},[104,317,318,321,323],{"class":106,"line":138},[104,319,320],{"class":277},"      \"type\"",[104,322,289],{"class":271},[104,324,325],{"class":292},"\"manual\"\n",[104,327,328],{"class":106,"line":144},[104,329,330],{"class":271},"    },\n",[104,332,333,336],{"class":106,"line":150},[104,334,335],{"class":277},"    \"steps\"",[104,337,338],{"class":271},": [\n",[104,340,341],{"class":106,"line":155},[104,342,343],{"class":271},"      {\n",[104,345,346,349,351,354],{"class":106,"line":161},[104,347,348],{"class":277},"        \"id\"",[104,350,289],{"class":271},[104,352,353],{"class":292},"\"analyze\"",[104,355,296],{"class":271},[104,357,358,361,363,366],{"class":106,"line":167},[104,359,360],{"class":277},"        \"type\"",[104,362,289],{"class":271},[104,364,365],{"class":292},"\"ai\"",[104,367,296],{"class":271},[104,369,370,373,375,378,381],{"class":106,"line":173},[104,371,372],{"class":277},"        \"prompt\"",[104,374,289],{"class":271},[104,376,377],{"class":292},"\"分析以下大纲，确定扩写重点：",[104,379,380],{"class":277},"\\n",[104,382,383],{"class":292},"{{outline}}\"\n",[104,385,386],{"class":106,"line":179},[104,387,388],{"class":271},"      },\n",[104,390,391],{"class":106,"line":185},[104,392,343],{"class":271},[104,394,395,397,399,402],{"class":106,"line":190},[104,396,348],{"class":277},[104,398,289],{"class":271},[104,400,401],{"class":292},"\"expand\"",[104,403,296],{"class":271},[104,405,406,408,410,412],{"class":106,"line":196},[104,407,360],{"class":277},[104,409,289],{"class":271},[104,411,365],{"class":292},[104,413,296],{"class":271},[104,415,416,418,420,423,426,429,431,434,436,439,441,444,446,449,451],{"class":106,"line":202},[104,417,372],{"class":277},[104,419,289],{"class":271},[104,421,422],{"class":292},"\"根据大纲和分析结果，扩写完整文章：",[104,424,425],{"class":277},"\\n\\n",[104,427,428],{"class":292},"大纲：{{outline}}",[104,430,425],{"class":277},[104,432,433],{"class":292},"分析：{{analyze.result}}",[104,435,425],{"class":277},[104,437,438],{"class":292},"要求：",[104,440,380],{"class":277},[104,442,443],{"class":292},"1. 保持专业风格",[104,445,380],{"class":277},[104,447,448],{"class":292},"2. 添加具体案例",[104,450,380],{"class":277},[104,452,453],{"class":292},"3. 控制在 2000-3000 字\"\n",[104,455,456],{"class":106,"line":207},[104,457,458],{"class":271},"      }\n",[104,460,461],{"class":106,"line":213},[104,462,463],{"class":271},"    ]\n",[104,465,466],{"class":106,"line":219},[104,467,468],{"class":271},"  }\n",[104,470,471],{"class":106,"line":225},[104,472,473],{"class":271},"}\n",[90,475,476],{"id":476},"风格调整",[94,478,480],{"className":96,"code":479,"language":98,"meta":99,"style":99},"async def adjust_style(content, target_style):\n    \"\"\"调整写作风格\"\"\"\n    style_prompts = {\n        \"professional\": \"使用专业、正式的语言，避免口语化表达\",\n        \"casual\": \"使用轻松、亲切的语言，增加互动感\",\n        \"academic\": \"使用学术语言，增加引用和论证\",\n        \"storytelling\": \"使用故事化叙述，增加情节和人物\"\n    }\n\n    prompt = f\"\"\"\n    将以下内容调整为{target_style}风格：\n\n    原文：\n    {content}\n\n    要求：\n    {style_prompts.get(target_style, style_prompts['professional'])}\n\n    保持原意不变，只调整表达方式。\n    \"\"\"\n\n    return await generate_response(prompt)\n",[101,481,482,487,492,497,502,507,512,517,522,526,530,535,539,544,549,553,557,562,566,571,575,579],{"__ignoreMap":99},[104,483,484],{"class":106,"line":107},[104,485,486],{},"async def adjust_style(content, target_style):\n",[104,488,489],{"class":106,"line":113},[104,490,491],{},"    \"\"\"调整写作风格\"\"\"\n",[104,493,494],{"class":106,"line":119},[104,495,496],{},"    style_prompts = {\n",[104,498,499],{"class":106,"line":125},[104,500,501],{},"        \"professional\": \"使用专业、正式的语言，避免口语化表达\",\n",[104,503,504],{"class":106,"line":131},[104,505,506],{},"        \"casual\": \"使用轻松、亲切的语言，增加互动感\",\n",[104,508,509],{"class":106,"line":138},[104,510,511],{},"        \"academic\": \"使用学术语言，增加引用和论证\",\n",[104,513,514],{"class":106,"line":144},[104,515,516],{},"        \"storytelling\": \"使用故事化叙述，增加情节和人物\"\n",[104,518,519],{"class":106,"line":150},[104,520,521],{},"    }\n",[104,523,524],{"class":106,"line":155},[104,525,135],{"emptyLinePlaceholder":134},[104,527,528],{"class":106,"line":161},[104,529,122],{},[104,531,532],{"class":106,"line":167},[104,533,534],{},"    将以下内容调整为{target_style}风格：\n",[104,536,537],{"class":106,"line":173},[104,538,135],{"emptyLinePlaceholder":134},[104,540,541],{"class":106,"line":179},[104,542,543],{},"    原文：\n",[104,545,546],{"class":106,"line":185},[104,547,548],{},"    {content}\n",[104,550,551],{"class":106,"line":190},[104,552,135],{"emptyLinePlaceholder":134},[104,554,555],{"class":106,"line":196},[104,556,158],{},[104,558,559],{"class":106,"line":202},[104,560,561],{},"    {style_prompts.get(target_style, style_prompts['professional'])}\n",[104,563,564],{"class":106,"line":207},[104,565,135],{"emptyLinePlaceholder":134},[104,567,568],{"class":106,"line":213},[104,569,570],{},"    保持原意不变，只调整表达方式。\n",[104,572,573],{"class":106,"line":219},[104,574,245],{},[104,576,577],{"class":106,"line":225},[104,578,135],{"emptyLinePlaceholder":134},[104,580,581],{"class":106,"line":230},[104,582,256],{},[90,584,585],{"id":585},"写作模板",[94,587,589],{"className":262,"code":588,"language":264,"meta":99,"style":99},"{\n  \"templates\": {\n    \"tech-article\": {\n      \"name\": \"技术文章\",\n      \"structure\": [\n        {\n          \"section\": \"引言\",\n          \"content\": \"背景介绍、问题陈述、文章目标\"\n        },\n        {\n          \"section\": \"核心概念\",\n          \"content\": \"关键术语解释、原理说明\"\n        },\n        {\n          \"section\": \"实现步骤\",\n          \"content\": \"详细步骤、代码示例、注意事项\"\n        },\n        {\n          \"section\": \"最佳实践\",\n          \"content\": \"经验总结、常见问题、优化建议\"\n        },\n        {\n          \"section\": \"总结\",\n          \"content\": \"要点回顾、后续展望\"\n        }\n      ]\n    },\n    \"product-review\": {\n      \"name\": \"产品评测\",\n      \"structure\": [\n        {\"section\": \"产品概述\", \"content\": \"基本信息、定位\"},\n        {\"section\": \"核心功能\", \"content\": \"功能列表、使用体验\"},\n        {\"section\": \"优缺点分析\", \"content\": \"优点、缺点、适用场景\"},\n        {\"section\": \"竞品对比\", \"content\": \"与同类产品对比\"},\n        {\"section\": \"购买建议\", \"content\": \"适合人群、性价比分析\"}\n      ]\n    },\n    \"tutorial\": {\n      \"name\": \"教程指南\",\n      \"structure\": [\n        {\"section\": \"准备工作\", \"content\": \"环境要求、前置知识\"},\n        {\"section\": \"步骤详解\", \"content\": \"分步骤说明\"},\n        {\"section\": \"常见问题\", \"content\": \"FAQ\"},\n        {\"section\": \"进阶技巧\", \"content\": \"高级用法\"}\n      ]\n    }\n  }\n}\n",[101,590,591,595,602,609,621,628,633,645,655,660,664,675,684,688,692,703,712,716,720,731,740,744,748,759,768,773,778,783,791,803,810,838,861,884,907,930,935,940,948,960,967,990,1013,1036,1059,1064,1069,1074],{"__ignoreMap":99},[104,592,593],{"class":106,"line":107},[104,594,272],{"class":271},[104,596,597,600],{"class":106,"line":113},[104,598,599],{"class":277},"  \"templates\"",[104,601,281],{"class":271},[104,603,604,607],{"class":106,"line":119},[104,605,606],{"class":277},"    \"tech-article\"",[104,608,281],{"class":271},[104,610,611,614,616,619],{"class":106,"line":125},[104,612,613],{"class":277},"      \"name\"",[104,615,289],{"class":271},[104,617,618],{"class":292},"\"技术文章\"",[104,620,296],{"class":271},[104,622,623,626],{"class":106,"line":131},[104,624,625],{"class":277},"      \"structure\"",[104,627,338],{"class":271},[104,629,630],{"class":106,"line":138},[104,631,632],{"class":271},"        {\n",[104,634,635,638,640,643],{"class":106,"line":144},[104,636,637],{"class":277},"          \"section\"",[104,639,289],{"class":271},[104,641,642],{"class":292},"\"引言\"",[104,644,296],{"class":271},[104,646,647,650,652],{"class":106,"line":150},[104,648,649],{"class":277},"          \"content\"",[104,651,289],{"class":271},[104,653,654],{"class":292},"\"背景介绍、问题陈述、文章目标\"\n",[104,656,657],{"class":106,"line":155},[104,658,659],{"class":271},"        },\n",[104,661,662],{"class":106,"line":161},[104,663,632],{"class":271},[104,665,666,668,670,673],{"class":106,"line":167},[104,667,637],{"class":277},[104,669,289],{"class":271},[104,671,672],{"class":292},"\"核心概念\"",[104,674,296],{"class":271},[104,676,677,679,681],{"class":106,"line":173},[104,678,649],{"class":277},[104,680,289],{"class":271},[104,682,683],{"class":292},"\"关键术语解释、原理说明\"\n",[104,685,686],{"class":106,"line":179},[104,687,659],{"class":271},[104,689,690],{"class":106,"line":185},[104,691,632],{"class":271},[104,693,694,696,698,701],{"class":106,"line":190},[104,695,637],{"class":277},[104,697,289],{"class":271},[104,699,700],{"class":292},"\"实现步骤\"",[104,702,296],{"class":271},[104,704,705,707,709],{"class":106,"line":196},[104,706,649],{"class":277},[104,708,289],{"class":271},[104,710,711],{"class":292},"\"详细步骤、代码示例、注意事项\"\n",[104,713,714],{"class":106,"line":202},[104,715,659],{"class":271},[104,717,718],{"class":106,"line":207},[104,719,632],{"class":271},[104,721,722,724,726,729],{"class":106,"line":213},[104,723,637],{"class":277},[104,725,289],{"class":271},[104,727,728],{"class":292},"\"最佳实践\"",[104,730,296],{"class":271},[104,732,733,735,737],{"class":106,"line":219},[104,734,649],{"class":277},[104,736,289],{"class":271},[104,738,739],{"class":292},"\"经验总结、常见问题、优化建议\"\n",[104,741,742],{"class":106,"line":225},[104,743,659],{"class":271},[104,745,746],{"class":106,"line":230},[104,747,632],{"class":271},[104,749,750,752,754,757],{"class":106,"line":236},[104,751,637],{"class":277},[104,753,289],{"class":271},[104,755,756],{"class":292},"\"总结\"",[104,758,296],{"class":271},[104,760,761,763,765],{"class":106,"line":242},[104,762,649],{"class":277},[104,764,289],{"class":271},[104,766,767],{"class":292},"\"要点回顾、后续展望\"\n",[104,769,770],{"class":106,"line":248},[104,771,772],{"class":271},"        }\n",[104,774,775],{"class":106,"line":253},[104,776,777],{"class":271},"      ]\n",[104,779,781],{"class":106,"line":780},27,[104,782,330],{"class":271},[104,784,786,789],{"class":106,"line":785},28,[104,787,788],{"class":277},"    \"product-review\"",[104,790,281],{"class":271},[104,792,794,796,798,801],{"class":106,"line":793},29,[104,795,613],{"class":277},[104,797,289],{"class":271},[104,799,800],{"class":292},"\"产品评测\"",[104,802,296],{"class":271},[104,804,806,808],{"class":106,"line":805},30,[104,807,625],{"class":277},[104,809,338],{"class":271},[104,811,813,816,819,821,824,827,830,832,835],{"class":106,"line":812},31,[104,814,815],{"class":271},"        {",[104,817,818],{"class":277},"\"section\"",[104,820,289],{"class":271},[104,822,823],{"class":292},"\"产品概述\"",[104,825,826],{"class":271},", ",[104,828,829],{"class":277},"\"content\"",[104,831,289],{"class":271},[104,833,834],{"class":292},"\"基本信息、定位\"",[104,836,837],{"class":271},"},\n",[104,839,841,843,845,847,850,852,854,856,859],{"class":106,"line":840},32,[104,842,815],{"class":271},[104,844,818],{"class":277},[104,846,289],{"class":271},[104,848,849],{"class":292},"\"核心功能\"",[104,851,826],{"class":271},[104,853,829],{"class":277},[104,855,289],{"class":271},[104,857,858],{"class":292},"\"功能列表、使用体验\"",[104,860,837],{"class":271},[104,862,864,866,868,870,873,875,877,879,882],{"class":106,"line":863},33,[104,865,815],{"class":271},[104,867,818],{"class":277},[104,869,289],{"class":271},[104,871,872],{"class":292},"\"优缺点分析\"",[104,874,826],{"class":271},[104,876,829],{"class":277},[104,878,289],{"class":271},[104,880,881],{"class":292},"\"优点、缺点、适用场景\"",[104,883,837],{"class":271},[104,885,887,889,891,893,896,898,900,902,905],{"class":106,"line":886},34,[104,888,815],{"class":271},[104,890,818],{"class":277},[104,892,289],{"class":271},[104,894,895],{"class":292},"\"竞品对比\"",[104,897,826],{"class":271},[104,899,829],{"class":277},[104,901,289],{"class":271},[104,903,904],{"class":292},"\"与同类产品对比\"",[104,906,837],{"class":271},[104,908,910,912,914,916,919,921,923,925,928],{"class":106,"line":909},35,[104,911,815],{"class":271},[104,913,818],{"class":277},[104,915,289],{"class":271},[104,917,918],{"class":292},"\"购买建议\"",[104,920,826],{"class":271},[104,922,829],{"class":277},[104,924,289],{"class":271},[104,926,927],{"class":292},"\"适合人群、性价比分析\"",[104,929,473],{"class":271},[104,931,933],{"class":106,"line":932},36,[104,934,777],{"class":271},[104,936,938],{"class":106,"line":937},37,[104,939,330],{"class":271},[104,941,943,946],{"class":106,"line":942},38,[104,944,945],{"class":277},"    \"tutorial\"",[104,947,281],{"class":271},[104,949,951,953,955,958],{"class":106,"line":950},39,[104,952,613],{"class":277},[104,954,289],{"class":271},[104,956,957],{"class":292},"\"教程指南\"",[104,959,296],{"class":271},[104,961,963,965],{"class":106,"line":962},40,[104,964,625],{"class":277},[104,966,338],{"class":271},[104,968,970,972,974,976,979,981,983,985,988],{"class":106,"line":969},41,[104,971,815],{"class":271},[104,973,818],{"class":277},[104,975,289],{"class":271},[104,977,978],{"class":292},"\"准备工作\"",[104,980,826],{"class":271},[104,982,829],{"class":277},[104,984,289],{"class":271},[104,986,987],{"class":292},"\"环境要求、前置知识\"",[104,989,837],{"class":271},[104,991,993,995,997,999,1002,1004,1006,1008,1011],{"class":106,"line":992},42,[104,994,815],{"class":271},[104,996,818],{"class":277},[104,998,289],{"class":271},[104,1000,1001],{"class":292},"\"步骤详解\"",[104,1003,826],{"class":271},[104,1005,829],{"class":277},[104,1007,289],{"class":271},[104,1009,1010],{"class":292},"\"分步骤说明\"",[104,1012,837],{"class":271},[104,1014,1016,1018,1020,1022,1025,1027,1029,1031,1034],{"class":106,"line":1015},43,[104,1017,815],{"class":271},[104,1019,818],{"class":277},[104,1021,289],{"class":271},[104,1023,1024],{"class":292},"\"常见问题\"",[104,1026,826],{"class":271},[104,1028,829],{"class":277},[104,1030,289],{"class":271},[104,1032,1033],{"class":292},"\"FAQ\"",[104,1035,837],{"class":271},[104,1037,1039,1041,1043,1045,1048,1050,1052,1054,1057],{"class":106,"line":1038},44,[104,1040,815],{"class":271},[104,1042,818],{"class":277},[104,1044,289],{"class":271},[104,1046,1047],{"class":292},"\"进阶技巧\"",[104,1049,826],{"class":271},[104,1051,829],{"class":277},[104,1053,289],{"class":271},[104,1055,1056],{"class":292},"\"高级用法\"",[104,1058,473],{"class":271},[104,1060,1062],{"class":106,"line":1061},45,[104,1063,777],{"class":271},[104,1065,1067],{"class":106,"line":1066},46,[104,1068,521],{"class":271},[104,1070,1072],{"class":106,"line":1071},47,[104,1073,468],{"class":271},[104,1075,1077],{"class":106,"line":1076},48,[104,1078,473],{"class":271},[17,1080,58],{"id":58},[90,1082,1083],{"id":1083},"配置翻译技能",[94,1085,1087],{"className":262,"code":1086,"language":264,"meta":99,"style":99},"{\n  \"skills\": {\n    \"translator\": {\n      \"enabled\": true,\n      \"languages\": {\n        \"source\": \"auto\",\n        \"target\": [\"zh-CN\", \"en\", \"ja\", \"ko\"]\n      },\n      \"options\": {\n        \"preserve_format\": true,\n        \"technical_terms\": \"keep\",\n        \"context_aware\": true\n      }\n    }\n  }\n}\n",[101,1088,1089,1093,1100,1107,1119,1126,1138,1167,1171,1178,1189,1201,1211,1215,1219,1223],{"__ignoreMap":99},[104,1090,1091],{"class":106,"line":107},[104,1092,272],{"class":271},[104,1094,1095,1098],{"class":106,"line":113},[104,1096,1097],{"class":277},"  \"skills\"",[104,1099,281],{"class":271},[104,1101,1102,1105],{"class":106,"line":119},[104,1103,1104],{"class":277},"    \"translator\"",[104,1106,281],{"class":271},[104,1108,1109,1112,1114,1117],{"class":106,"line":125},[104,1110,1111],{"class":277},"      \"enabled\"",[104,1113,289],{"class":271},[104,1115,1116],{"class":277},"true",[104,1118,296],{"class":271},[104,1120,1121,1124],{"class":106,"line":131},[104,1122,1123],{"class":277},"      \"languages\"",[104,1125,281],{"class":271},[104,1127,1128,1131,1133,1136],{"class":106,"line":138},[104,1129,1130],{"class":277},"        \"source\"",[104,1132,289],{"class":271},[104,1134,1135],{"class":292},"\"auto\"",[104,1137,296],{"class":271},[104,1139,1140,1143,1146,1149,1151,1154,1156,1159,1161,1164],{"class":106,"line":144},[104,1141,1142],{"class":277},"        \"target\"",[104,1144,1145],{"class":271},": [",[104,1147,1148],{"class":292},"\"zh-CN\"",[104,1150,826],{"class":271},[104,1152,1153],{"class":292},"\"en\"",[104,1155,826],{"class":271},[104,1157,1158],{"class":292},"\"ja\"",[104,1160,826],{"class":271},[104,1162,1163],{"class":292},"\"ko\"",[104,1165,1166],{"class":271},"]\n",[104,1168,1169],{"class":106,"line":150},[104,1170,388],{"class":271},[104,1172,1173,1176],{"class":106,"line":155},[104,1174,1175],{"class":277},"      \"options\"",[104,1177,281],{"class":271},[104,1179,1180,1183,1185,1187],{"class":106,"line":161},[104,1181,1182],{"class":277},"        \"preserve_format\"",[104,1184,289],{"class":271},[104,1186,1116],{"class":277},[104,1188,296],{"class":271},[104,1190,1191,1194,1196,1199],{"class":106,"line":167},[104,1192,1193],{"class":277},"        \"technical_terms\"",[104,1195,289],{"class":271},[104,1197,1198],{"class":292},"\"keep\"",[104,1200,296],{"class":271},[104,1202,1203,1206,1208],{"class":106,"line":173},[104,1204,1205],{"class":277},"        \"context_aware\"",[104,1207,289],{"class":271},[104,1209,1210],{"class":277},"true\n",[104,1212,1213],{"class":106,"line":179},[104,1214,458],{"class":271},[104,1216,1217],{"class":106,"line":185},[104,1218,521],{"class":271},[104,1220,1221],{"class":106,"line":190},[104,1222,468],{"class":271},[104,1224,1225],{"class":106,"line":196},[104,1226,473],{"class":271},[90,1228,1229],{"id":1229},"翻译工作流",[94,1231,1233],{"className":96,"code":1232,"language":98,"meta":99,"style":99},"async def translate_document(content, target_lang, context=None):\n    \"\"\"文档翻译\"\"\"\n    prompt = f\"\"\"\n    将以下内容翻译成{target_lang}：\n\n    {content}\n\n    要求：\n    1. 保持原文格式不变\n    2. 专业术语保持原文或使用标准译法\n    3. 保持原文语气和风格\n    4. 代码块内容不翻译\n\n    {f'上下文：{context}' if context else ''}\n    \"\"\"\n\n    return await generate_response(prompt)\n",[101,1234,1235,1240,1245,1249,1254,1258,1262,1266,1270,1275,1280,1285,1290,1294,1299,1303,1307],{"__ignoreMap":99},[104,1236,1237],{"class":106,"line":107},[104,1238,1239],{},"async def translate_document(content, target_lang, context=None):\n",[104,1241,1242],{"class":106,"line":113},[104,1243,1244],{},"    \"\"\"文档翻译\"\"\"\n",[104,1246,1247],{"class":106,"line":119},[104,1248,122],{},[104,1250,1251],{"class":106,"line":125},[104,1252,1253],{},"    将以下内容翻译成{target_lang}：\n",[104,1255,1256],{"class":106,"line":131},[104,1257,135],{"emptyLinePlaceholder":134},[104,1259,1260],{"class":106,"line":138},[104,1261,548],{},[104,1263,1264],{"class":106,"line":144},[104,1265,135],{"emptyLinePlaceholder":134},[104,1267,1268],{"class":106,"line":150},[104,1269,158],{},[104,1271,1272],{"class":106,"line":155},[104,1273,1274],{},"    1. 保持原文格式不变\n",[104,1276,1277],{"class":106,"line":161},[104,1278,1279],{},"    2. 专业术语保持原文或使用标准译法\n",[104,1281,1282],{"class":106,"line":167},[104,1283,1284],{},"    3. 保持原文语气和风格\n",[104,1286,1287],{"class":106,"line":173},[104,1288,1289],{},"    4. 代码块内容不翻译\n",[104,1291,1292],{"class":106,"line":179},[104,1293,135],{"emptyLinePlaceholder":134},[104,1295,1296],{"class":106,"line":185},[104,1297,1298],{},"    {f'上下文：{context}' if context else ''}\n",[104,1300,1301],{"class":106,"line":190},[104,1302,245],{},[104,1304,1305],{"class":106,"line":196},[104,1306,135],{"emptyLinePlaceholder":134},[104,1308,1309],{"class":106,"line":202},[104,1310,256],{},[90,1312,1313],{"id":1313},"本地化适配",[94,1315,1317],{"className":96,"code":1316,"language":98,"meta":99,"style":99},"async def localize_content(content, target_region):\n    \"\"\"内容本地化\"\"\"\n    localization_rules = {\n        \"zh-CN\": {\n            \"date_format\": \"YYYY年MM月DD日\",\n            \"currency\": \"CNY\",\n            \"examples\": \"使用中国案例\"\n        },\n        \"en-US\": {\n            \"date_format\": \"MM/DD/YYYY\",\n            \"currency\": \"USD\",\n            \"examples\": \"使用美国案例\"\n        },\n        \"ja\": {\n            \"date_format\": \"YYYY年MM月DD日\",\n            \"currency\": \"JPY\",\n            \"examples\": \"使用日本案例\"\n        }\n    }\n\n    rules = localization_rules.get(target_region, {})\n\n    prompt = f\"\"\"\n    将以下内容本地化为{target_region}版本：\n\n    {content}\n\n    本地化要求：\n    - 日期格式：{rules.get('date_format', '保持原样')}\n    - 货币单位：{rules.get('currency', '保持原样')}\n    - 案例：{rules.get('examples', '保持原样')}\n    - 文化适配：避免文化敏感内容\n    \"\"\"\n\n    return await generate_response(prompt)\n",[101,1318,1319,1324,1329,1334,1339,1344,1349,1354,1358,1363,1368,1373,1378,1382,1387,1391,1396,1401,1405,1409,1413,1418,1422,1426,1431,1435,1439,1443,1448,1453,1458,1463,1468,1472,1476],{"__ignoreMap":99},[104,1320,1321],{"class":106,"line":107},[104,1322,1323],{},"async def localize_content(content, target_region):\n",[104,1325,1326],{"class":106,"line":113},[104,1327,1328],{},"    \"\"\"内容本地化\"\"\"\n",[104,1330,1331],{"class":106,"line":119},[104,1332,1333],{},"    localization_rules = {\n",[104,1335,1336],{"class":106,"line":125},[104,1337,1338],{},"        \"zh-CN\": {\n",[104,1340,1341],{"class":106,"line":131},[104,1342,1343],{},"            \"date_format\": \"YYYY年MM月DD日\",\n",[104,1345,1346],{"class":106,"line":138},[104,1347,1348],{},"            \"currency\": \"CNY\",\n",[104,1350,1351],{"class":106,"line":144},[104,1352,1353],{},"            \"examples\": \"使用中国案例\"\n",[104,1355,1356],{"class":106,"line":150},[104,1357,659],{},[104,1359,1360],{"class":106,"line":155},[104,1361,1362],{},"        \"en-US\": {\n",[104,1364,1365],{"class":106,"line":161},[104,1366,1367],{},"            \"date_format\": \"MM/DD/YYYY\",\n",[104,1369,1370],{"class":106,"line":167},[104,1371,1372],{},"            \"currency\": \"USD\",\n",[104,1374,1375],{"class":106,"line":173},[104,1376,1377],{},"            \"examples\": \"使用美国案例\"\n",[104,1379,1380],{"class":106,"line":179},[104,1381,659],{},[104,1383,1384],{"class":106,"line":185},[104,1385,1386],{},"        \"ja\": {\n",[104,1388,1389],{"class":106,"line":190},[104,1390,1343],{},[104,1392,1393],{"class":106,"line":196},[104,1394,1395],{},"            \"currency\": \"JPY\",\n",[104,1397,1398],{"class":106,"line":202},[104,1399,1400],{},"            \"examples\": \"使用日本案例\"\n",[104,1402,1403],{"class":106,"line":207},[104,1404,772],{},[104,1406,1407],{"class":106,"line":213},[104,1408,521],{},[104,1410,1411],{"class":106,"line":219},[104,1412,135],{"emptyLinePlaceholder":134},[104,1414,1415],{"class":106,"line":225},[104,1416,1417],{},"    rules = localization_rules.get(target_region, {})\n",[104,1419,1420],{"class":106,"line":230},[104,1421,135],{"emptyLinePlaceholder":134},[104,1423,1424],{"class":106,"line":236},[104,1425,122],{},[104,1427,1428],{"class":106,"line":242},[104,1429,1430],{},"    将以下内容本地化为{target_region}版本：\n",[104,1432,1433],{"class":106,"line":248},[104,1434,135],{"emptyLinePlaceholder":134},[104,1436,1437],{"class":106,"line":253},[104,1438,548],{},[104,1440,1441],{"class":106,"line":780},[104,1442,135],{"emptyLinePlaceholder":134},[104,1444,1445],{"class":106,"line":785},[104,1446,1447],{},"    本地化要求：\n",[104,1449,1450],{"class":106,"line":793},[104,1451,1452],{},"    - 日期格式：{rules.get('date_format', '保持原样')}\n",[104,1454,1455],{"class":106,"line":805},[104,1456,1457],{},"    - 货币单位：{rules.get('currency', '保持原样')}\n",[104,1459,1460],{"class":106,"line":812},[104,1461,1462],{},"    - 案例：{rules.get('examples', '保持原样')}\n",[104,1464,1465],{"class":106,"line":840},[104,1466,1467],{},"    - 文化适配：避免文化敏感内容\n",[104,1469,1470],{"class":106,"line":863},[104,1471,245],{},[104,1473,1474],{"class":106,"line":886},[104,1475,135],{"emptyLinePlaceholder":134},[104,1477,1478],{"class":106,"line":909},[104,1479,256],{},[90,1481,1482],{"id":1482},"术语管理",[94,1484,1486],{"className":262,"code":1485,"language":264,"meta":99,"style":99},"{\n  \"terminology\": {\n    \"AI\": {\n      \"zh-CN\": \"人工智能\",\n      \"ja\": \"人工知能\",\n      \"keep_original\": false\n    },\n    \"API\": {\n      \"zh-CN\": \"API\",\n      \"ja\": \"API\",\n      \"keep_original\": true\n    },\n    \"Machine Learning\": {\n      \"zh-CN\": \"机器学习\",\n      \"ja\": \"機械学習\",\n      \"keep_original\": false\n    }\n  }\n}\n",[101,1487,1488,1492,1499,1506,1518,1530,1540,1544,1551,1562,1572,1580,1584,1591,1602,1613,1621,1625,1629],{"__ignoreMap":99},[104,1489,1490],{"class":106,"line":107},[104,1491,272],{"class":271},[104,1493,1494,1497],{"class":106,"line":113},[104,1495,1496],{"class":277},"  \"terminology\"",[104,1498,281],{"class":271},[104,1500,1501,1504],{"class":106,"line":119},[104,1502,1503],{"class":277},"    \"AI\"",[104,1505,281],{"class":271},[104,1507,1508,1511,1513,1516],{"class":106,"line":125},[104,1509,1510],{"class":277},"      \"zh-CN\"",[104,1512,289],{"class":271},[104,1514,1515],{"class":292},"\"人工智能\"",[104,1517,296],{"class":271},[104,1519,1520,1523,1525,1528],{"class":106,"line":131},[104,1521,1522],{"class":277},"      \"ja\"",[104,1524,289],{"class":271},[104,1526,1527],{"class":292},"\"人工知能\"",[104,1529,296],{"class":271},[104,1531,1532,1535,1537],{"class":106,"line":138},[104,1533,1534],{"class":277},"      \"keep_original\"",[104,1536,289],{"class":271},[104,1538,1539],{"class":277},"false\n",[104,1541,1542],{"class":106,"line":144},[104,1543,330],{"class":271},[104,1545,1546,1549],{"class":106,"line":150},[104,1547,1548],{"class":277},"    \"API\"",[104,1550,281],{"class":271},[104,1552,1553,1555,1557,1560],{"class":106,"line":155},[104,1554,1510],{"class":277},[104,1556,289],{"class":271},[104,1558,1559],{"class":292},"\"API\"",[104,1561,296],{"class":271},[104,1563,1564,1566,1568,1570],{"class":106,"line":161},[104,1565,1522],{"class":277},[104,1567,289],{"class":271},[104,1569,1559],{"class":292},[104,1571,296],{"class":271},[104,1573,1574,1576,1578],{"class":106,"line":167},[104,1575,1534],{"class":277},[104,1577,289],{"class":271},[104,1579,1210],{"class":277},[104,1581,1582],{"class":106,"line":173},[104,1583,330],{"class":271},[104,1585,1586,1589],{"class":106,"line":179},[104,1587,1588],{"class":277},"    \"Machine Learning\"",[104,1590,281],{"class":271},[104,1592,1593,1595,1597,1600],{"class":106,"line":185},[104,1594,1510],{"class":277},[104,1596,289],{"class":271},[104,1598,1599],{"class":292},"\"机器学习\"",[104,1601,296],{"class":271},[104,1603,1604,1606,1608,1611],{"class":106,"line":190},[104,1605,1522],{"class":277},[104,1607,289],{"class":271},[104,1609,1610],{"class":292},"\"機械学習\"",[104,1612,296],{"class":271},[104,1614,1615,1617,1619],{"class":106,"line":196},[104,1616,1534],{"class":277},[104,1618,289],{"class":271},[104,1620,1539],{"class":277},[104,1622,1623],{"class":106,"line":202},[104,1624,521],{"class":271},[104,1626,1627],{"class":106,"line":207},[104,1628,468],{"class":271},[104,1630,1631],{"class":106,"line":213},[104,1632,473],{"class":271},[17,1634,69],{"id":69},[90,1636,1638],{"id":1637},"seo-优化","SEO 优化",[94,1640,1642],{"className":96,"code":1641,"language":98,"meta":99,"style":99},"async def optimize_seo(content, keywords):\n    \"\"\"SEO 内容优化\"\"\"\n    prompt = f\"\"\"\n    对以下内容进行 SEO 优化：\n\n    {content}\n\n    目标关键词：{', '.join(keywords)}\n\n    优化要求：\n    1. 标题包含主关键词\n    2. 首段包含关键词\n    3. 关键词密度 2-3%\n    4. 添加相关长尾词\n    5. 优化小标题结构\n    6. 添加 meta 描述\n\n    输出：\n    - 优化后的标题\n    - 优化后的内容\n    - meta 描述（150字以内）\n    - 建议的 URL slug\n    \"\"\"\n\n    return await generate_response(prompt)\n",[101,1643,1644,1649,1654,1658,1663,1667,1671,1675,1680,1684,1689,1694,1699,1704,1709,1714,1719,1723,1728,1733,1738,1743,1748,1752,1756],{"__ignoreMap":99},[104,1645,1646],{"class":106,"line":107},[104,1647,1648],{},"async def optimize_seo(content, keywords):\n",[104,1650,1651],{"class":106,"line":113},[104,1652,1653],{},"    \"\"\"SEO 内容优化\"\"\"\n",[104,1655,1656],{"class":106,"line":119},[104,1657,122],{},[104,1659,1660],{"class":106,"line":125},[104,1661,1662],{},"    对以下内容进行 SEO 优化：\n",[104,1664,1665],{"class":106,"line":131},[104,1666,135],{"emptyLinePlaceholder":134},[104,1668,1669],{"class":106,"line":138},[104,1670,548],{},[104,1672,1673],{"class":106,"line":144},[104,1674,135],{"emptyLinePlaceholder":134},[104,1676,1677],{"class":106,"line":150},[104,1678,1679],{},"    目标关键词：{', '.join(keywords)}\n",[104,1681,1682],{"class":106,"line":155},[104,1683,135],{"emptyLinePlaceholder":134},[104,1685,1686],{"class":106,"line":161},[104,1687,1688],{},"    优化要求：\n",[104,1690,1691],{"class":106,"line":167},[104,1692,1693],{},"    1. 标题包含主关键词\n",[104,1695,1696],{"class":106,"line":173},[104,1697,1698],{},"    2. 首段包含关键词\n",[104,1700,1701],{"class":106,"line":179},[104,1702,1703],{},"    3. 关键词密度 2-3%\n",[104,1705,1706],{"class":106,"line":185},[104,1707,1708],{},"    4. 添加相关长尾词\n",[104,1710,1711],{"class":106,"line":190},[104,1712,1713],{},"    5. 优化小标题结构\n",[104,1715,1716],{"class":106,"line":196},[104,1717,1718],{},"    6. 添加 meta 描述\n",[104,1720,1721],{"class":106,"line":202},[104,1722,135],{"emptyLinePlaceholder":134},[104,1724,1725],{"class":106,"line":207},[104,1726,1727],{},"    输出：\n",[104,1729,1730],{"class":106,"line":213},[104,1731,1732],{},"    - 优化后的标题\n",[104,1734,1735],{"class":106,"line":219},[104,1736,1737],{},"    - 优化后的内容\n",[104,1739,1740],{"class":106,"line":225},[104,1741,1742],{},"    - meta 描述（150字以内）\n",[104,1744,1745],{"class":106,"line":230},[104,1746,1747],{},"    - 建议的 URL slug\n",[104,1749,1750],{"class":106,"line":236},[104,1751,245],{},[104,1753,1754],{"class":106,"line":242},[104,1755,135],{"emptyLinePlaceholder":134},[104,1757,1758],{"class":106,"line":248},[104,1759,256],{},[90,1761,1762],{"id":1762},"可读性优化",[94,1764,1766],{"className":262,"code":1765,"language":264,"meta":99,"style":99},"{\n  \"workflow\": {\n    \"id\": \"readability-check\",\n    \"name\": \"可读性检查\",\n    \"steps\": [\n      {\n        \"id\": \"analyze\",\n        \"type\": \"ai\",\n        \"prompt\": \"分析以下内容的可读性：\\n{{content}}\\n\\n评估维度：\\n1. 句子长度（建议 15-20 字）\\n2. 段落长度（建议 3-5 句）\\n3. 专业术语密度\\n4. 逻辑连贯性\\n5. 标点使用\\n\\n给出评分和改进建议。\"\n      },\n      {\n        \"id\": \"improve\",\n        \"type\": \"ai\",\n        \"prompt\": \"根据分析结果优化内容：\\n\\n原文：{{content}}\\n\\n分析：{{analyze.result}}\\n\\n保持原意，提升可读性。\"\n      }\n    ]\n  }\n}\n",[101,1767,1768,1772,1778,1789,1800,1806,1810,1820,1830,1879,1883,1887,1898,1908,1931,1935,1939,1943],{"__ignoreMap":99},[104,1769,1770],{"class":106,"line":107},[104,1771,272],{"class":271},[104,1773,1774,1776],{"class":106,"line":113},[104,1775,278],{"class":277},[104,1777,281],{"class":271},[104,1779,1780,1782,1784,1787],{"class":106,"line":119},[104,1781,286],{"class":277},[104,1783,289],{"class":271},[104,1785,1786],{"class":292},"\"readability-check\"",[104,1788,296],{"class":271},[104,1790,1791,1793,1795,1798],{"class":106,"line":125},[104,1792,301],{"class":277},[104,1794,289],{"class":271},[104,1796,1797],{"class":292},"\"可读性检查\"",[104,1799,296],{"class":271},[104,1801,1802,1804],{"class":106,"line":131},[104,1803,335],{"class":277},[104,1805,338],{"class":271},[104,1807,1808],{"class":106,"line":138},[104,1809,343],{"class":271},[104,1811,1812,1814,1816,1818],{"class":106,"line":144},[104,1813,348],{"class":277},[104,1815,289],{"class":271},[104,1817,353],{"class":292},[104,1819,296],{"class":271},[104,1821,1822,1824,1826,1828],{"class":106,"line":150},[104,1823,360],{"class":277},[104,1825,289],{"class":271},[104,1827,365],{"class":292},[104,1829,296],{"class":271},[104,1831,1832,1834,1836,1839,1841,1844,1846,1849,1851,1854,1856,1859,1861,1864,1866,1869,1871,1874,1876],{"class":106,"line":155},[104,1833,372],{"class":277},[104,1835,289],{"class":271},[104,1837,1838],{"class":292},"\"分析以下内容的可读性：",[104,1840,380],{"class":277},[104,1842,1843],{"class":292},"{{content}}",[104,1845,425],{"class":277},[104,1847,1848],{"class":292},"评估维度：",[104,1850,380],{"class":277},[104,1852,1853],{"class":292},"1. 句子长度（建议 15-20 字）",[104,1855,380],{"class":277},[104,1857,1858],{"class":292},"2. 段落长度（建议 3-5 句）",[104,1860,380],{"class":277},[104,1862,1863],{"class":292},"3. 专业术语密度",[104,1865,380],{"class":277},[104,1867,1868],{"class":292},"4. 逻辑连贯性",[104,1870,380],{"class":277},[104,1872,1873],{"class":292},"5. 标点使用",[104,1875,425],{"class":277},[104,1877,1878],{"class":292},"给出评分和改进建议。\"\n",[104,1880,1881],{"class":106,"line":161},[104,1882,388],{"class":271},[104,1884,1885],{"class":106,"line":167},[104,1886,343],{"class":271},[104,1888,1889,1891,1893,1896],{"class":106,"line":173},[104,1890,348],{"class":277},[104,1892,289],{"class":271},[104,1894,1895],{"class":292},"\"improve\"",[104,1897,296],{"class":271},[104,1899,1900,1902,1904,1906],{"class":106,"line":179},[104,1901,360],{"class":277},[104,1903,289],{"class":271},[104,1905,365],{"class":292},[104,1907,296],{"class":271},[104,1909,1910,1912,1914,1917,1919,1922,1924,1926,1928],{"class":106,"line":185},[104,1911,372],{"class":277},[104,1913,289],{"class":271},[104,1915,1916],{"class":292},"\"根据分析结果优化内容：",[104,1918,425],{"class":277},[104,1920,1921],{"class":292},"原文：{{content}}",[104,1923,425],{"class":277},[104,1925,433],{"class":292},[104,1927,425],{"class":277},[104,1929,1930],{"class":292},"保持原意，提升可读性。\"\n",[104,1932,1933],{"class":106,"line":190},[104,1934,458],{"class":271},[104,1936,1937],{"class":106,"line":196},[104,1938,463],{"class":271},[104,1940,1941],{"class":106,"line":202},[104,1942,468],{"class":271},[104,1944,1945],{"class":106,"line":207},[104,1946,473],{"class":271},[90,1948,1949],{"id":1949},"内容去重",[94,1951,1953],{"className":96,"code":1952,"language":98,"meta":99,"style":99},"async def check_duplicate(content):\n    \"\"\"检查内容重复度\"\"\"\n    # 分段\n    segments = split_content(content)\n\n    duplicates = []\n    for segment in segments:\n        # 搜索相似内容\n        similar = await search_similar_content(segment)\n        if similar.score > 0.8:\n            duplicates.append({\n                \"segment\": segment,\n                \"similar_to\": similar.source,\n                \"score\": similar.score\n            })\n\n    return {\n        \"duplicate_ratio\": len(duplicates) / len(segments),\n        \"details\": duplicates\n    }\n",[101,1954,1955,1960,1965,1970,1975,1979,1984,1989,1994,1999,2004,2009,2014,2019,2024,2029,2033,2038,2043,2048],{"__ignoreMap":99},[104,1956,1957],{"class":106,"line":107},[104,1958,1959],{},"async def check_duplicate(content):\n",[104,1961,1962],{"class":106,"line":113},[104,1963,1964],{},"    \"\"\"检查内容重复度\"\"\"\n",[104,1966,1967],{"class":106,"line":119},[104,1968,1969],{},"    # 分段\n",[104,1971,1972],{"class":106,"line":125},[104,1973,1974],{},"    segments = split_content(content)\n",[104,1976,1977],{"class":106,"line":131},[104,1978,135],{"emptyLinePlaceholder":134},[104,1980,1981],{"class":106,"line":138},[104,1982,1983],{},"    duplicates = []\n",[104,1985,1986],{"class":106,"line":144},[104,1987,1988],{},"    for segment in segments:\n",[104,1990,1991],{"class":106,"line":150},[104,1992,1993],{},"        # 搜索相似内容\n",[104,1995,1996],{"class":106,"line":155},[104,1997,1998],{},"        similar = await search_similar_content(segment)\n",[104,2000,2001],{"class":106,"line":161},[104,2002,2003],{},"        if similar.score > 0.8:\n",[104,2005,2006],{"class":106,"line":167},[104,2007,2008],{},"            duplicates.append({\n",[104,2010,2011],{"class":106,"line":173},[104,2012,2013],{},"                \"segment\": segment,\n",[104,2015,2016],{"class":106,"line":179},[104,2017,2018],{},"                \"similar_to\": similar.source,\n",[104,2020,2021],{"class":106,"line":185},[104,2022,2023],{},"                \"score\": similar.score\n",[104,2025,2026],{"class":106,"line":190},[104,2027,2028],{},"            })\n",[104,2030,2031],{"class":106,"line":196},[104,2032,135],{"emptyLinePlaceholder":134},[104,2034,2035],{"class":106,"line":202},[104,2036,2037],{},"    return {\n",[104,2039,2040],{"class":106,"line":207},[104,2041,2042],{},"        \"duplicate_ratio\": len(duplicates) / len(segments),\n",[104,2044,2045],{"class":106,"line":213},[104,2046,2047],{},"        \"details\": duplicates\n",[104,2049,2050],{"class":106,"line":219},[104,2051,521],{},[17,2053,80],{"id":80},[90,2055,2056],{"id":2056},"平台配置",[94,2058,2060],{"className":262,"code":2059,"language":264,"meta":99,"style":99},"{\n  \"publishing\": {\n    \"platforms\": {\n      \"wechat\": {\n        \"enabled\": true,\n        \"type\": \"official_account\",\n        \"features\": [\"图文\", \"视频\"]\n      },\n      \"zhihu\": {\n        \"enabled\": true,\n        \"type\": \"article\",\n        \"features\": [\"文章\", \"回答\", \"想法\"]\n      },\n      \"juejin\": {\n        \"enabled\": true,\n        \"type\": \"article\",\n        \"features\": [\"文章\", \"沸点\"]\n      },\n      \"xiaohongshu\": {\n        \"enabled\": true,\n        \"type\": \"note\",\n        \"features\": [\"图文\", \"视频\"]\n      }\n    }\n  }\n}\n",[101,2061,2062,2066,2073,2080,2087,2098,2109,2126,2130,2137,2147,2158,2179,2183,2190,2200,2210,2225,2229,2236,2246,2257,2271,2275,2279,2283],{"__ignoreMap":99},[104,2063,2064],{"class":106,"line":107},[104,2065,272],{"class":271},[104,2067,2068,2071],{"class":106,"line":113},[104,2069,2070],{"class":277},"  \"publishing\"",[104,2072,281],{"class":271},[104,2074,2075,2078],{"class":106,"line":119},[104,2076,2077],{"class":277},"    \"platforms\"",[104,2079,281],{"class":271},[104,2081,2082,2085],{"class":106,"line":125},[104,2083,2084],{"class":277},"      \"wechat\"",[104,2086,281],{"class":271},[104,2088,2089,2092,2094,2096],{"class":106,"line":131},[104,2090,2091],{"class":277},"        \"enabled\"",[104,2093,289],{"class":271},[104,2095,1116],{"class":277},[104,2097,296],{"class":271},[104,2099,2100,2102,2104,2107],{"class":106,"line":138},[104,2101,360],{"class":277},[104,2103,289],{"class":271},[104,2105,2106],{"class":292},"\"official_account\"",[104,2108,296],{"class":271},[104,2110,2111,2114,2116,2119,2121,2124],{"class":106,"line":144},[104,2112,2113],{"class":277},"        \"features\"",[104,2115,1145],{"class":271},[104,2117,2118],{"class":292},"\"图文\"",[104,2120,826],{"class":271},[104,2122,2123],{"class":292},"\"视频\"",[104,2125,1166],{"class":271},[104,2127,2128],{"class":106,"line":150},[104,2129,388],{"class":271},[104,2131,2132,2135],{"class":106,"line":155},[104,2133,2134],{"class":277},"      \"zhihu\"",[104,2136,281],{"class":271},[104,2138,2139,2141,2143,2145],{"class":106,"line":161},[104,2140,2091],{"class":277},[104,2142,289],{"class":271},[104,2144,1116],{"class":277},[104,2146,296],{"class":271},[104,2148,2149,2151,2153,2156],{"class":106,"line":167},[104,2150,360],{"class":277},[104,2152,289],{"class":271},[104,2154,2155],{"class":292},"\"article\"",[104,2157,296],{"class":271},[104,2159,2160,2162,2164,2167,2169,2172,2174,2177],{"class":106,"line":173},[104,2161,2113],{"class":277},[104,2163,1145],{"class":271},[104,2165,2166],{"class":292},"\"文章\"",[104,2168,826],{"class":271},[104,2170,2171],{"class":292},"\"回答\"",[104,2173,826],{"class":271},[104,2175,2176],{"class":292},"\"想法\"",[104,2178,1166],{"class":271},[104,2180,2181],{"class":106,"line":179},[104,2182,388],{"class":271},[104,2184,2185,2188],{"class":106,"line":185},[104,2186,2187],{"class":277},"      \"juejin\"",[104,2189,281],{"class":271},[104,2191,2192,2194,2196,2198],{"class":106,"line":190},[104,2193,2091],{"class":277},[104,2195,289],{"class":271},[104,2197,1116],{"class":277},[104,2199,296],{"class":271},[104,2201,2202,2204,2206,2208],{"class":106,"line":196},[104,2203,360],{"class":277},[104,2205,289],{"class":271},[104,2207,2155],{"class":292},[104,2209,296],{"class":271},[104,2211,2212,2214,2216,2218,2220,2223],{"class":106,"line":202},[104,2213,2113],{"class":277},[104,2215,1145],{"class":271},[104,2217,2166],{"class":292},[104,2219,826],{"class":271},[104,2221,2222],{"class":292},"\"沸点\"",[104,2224,1166],{"class":271},[104,2226,2227],{"class":106,"line":207},[104,2228,388],{"class":271},[104,2230,2231,2234],{"class":106,"line":213},[104,2232,2233],{"class":277},"      \"xiaohongshu\"",[104,2235,281],{"class":271},[104,2237,2238,2240,2242,2244],{"class":106,"line":219},[104,2239,2091],{"class":277},[104,2241,289],{"class":271},[104,2243,1116],{"class":277},[104,2245,296],{"class":271},[104,2247,2248,2250,2252,2255],{"class":106,"line":225},[104,2249,360],{"class":277},[104,2251,289],{"class":271},[104,2253,2254],{"class":292},"\"note\"",[104,2256,296],{"class":271},[104,2258,2259,2261,2263,2265,2267,2269],{"class":106,"line":230},[104,2260,2113],{"class":277},[104,2262,1145],{"class":271},[104,2264,2118],{"class":292},[104,2266,826],{"class":271},[104,2268,2123],{"class":292},[104,2270,1166],{"class":271},[104,2272,2273],{"class":106,"line":236},[104,2274,458],{"class":271},[104,2276,2277],{"class":106,"line":242},[104,2278,521],{"class":271},[104,2280,2281],{"class":106,"line":248},[104,2282,468],{"class":271},[104,2284,2285],{"class":106,"line":253},[104,2286,473],{"class":271},[90,2288,2289],{"id":2289},"格式适配",[94,2291,2293],{"className":96,"code":2292,"language":98,"meta":99,"style":99},"async def adapt_for_platform(content, platform):\n    \"\"\"适配不同平台格式\"\"\"\n    platform_rules = {\n        \"wechat\": {\n            \"max_length\": 20000,\n            \"image_required\": True,\n            \"title_max\": 64,\n            \"format\": \"富文本\"\n        },\n        \"zhihu\": {\n            \"max_length\": 50000,\n            \"image_required\": False,\n            \"title_max\": 50,\n            \"format\": \"markdown\"\n        },\n        \"xiaohongshu\": {\n            \"max_length\": 1000,\n            \"image_required\": True,\n            \"image_count\": \"3-9张\",\n            \"format\": \"纯文本+图片\"\n        }\n    }\n\n    rules = platform_rules.get(platform, {})\n\n    # 根据规则调整内容\n    adapted = await adjust_content(content, rules)\n\n    return adapted\n",[101,2294,2295,2300,2305,2310,2315,2320,2325,2330,2335,2339,2344,2349,2354,2359,2364,2368,2373,2378,2382,2387,2392,2396,2400,2404,2409,2413,2418,2423,2427],{"__ignoreMap":99},[104,2296,2297],{"class":106,"line":107},[104,2298,2299],{},"async def adapt_for_platform(content, platform):\n",[104,2301,2302],{"class":106,"line":113},[104,2303,2304],{},"    \"\"\"适配不同平台格式\"\"\"\n",[104,2306,2307],{"class":106,"line":119},[104,2308,2309],{},"    platform_rules = {\n",[104,2311,2312],{"class":106,"line":125},[104,2313,2314],{},"        \"wechat\": {\n",[104,2316,2317],{"class":106,"line":131},[104,2318,2319],{},"            \"max_length\": 20000,\n",[104,2321,2322],{"class":106,"line":138},[104,2323,2324],{},"            \"image_required\": True,\n",[104,2326,2327],{"class":106,"line":144},[104,2328,2329],{},"            \"title_max\": 64,\n",[104,2331,2332],{"class":106,"line":150},[104,2333,2334],{},"            \"format\": \"富文本\"\n",[104,2336,2337],{"class":106,"line":155},[104,2338,659],{},[104,2340,2341],{"class":106,"line":161},[104,2342,2343],{},"        \"zhihu\": {\n",[104,2345,2346],{"class":106,"line":167},[104,2347,2348],{},"            \"max_length\": 50000,\n",[104,2350,2351],{"class":106,"line":173},[104,2352,2353],{},"            \"image_required\": False,\n",[104,2355,2356],{"class":106,"line":179},[104,2357,2358],{},"            \"title_max\": 50,\n",[104,2360,2361],{"class":106,"line":185},[104,2362,2363],{},"            \"format\": \"markdown\"\n",[104,2365,2366],{"class":106,"line":190},[104,2367,659],{},[104,2369,2370],{"class":106,"line":196},[104,2371,2372],{},"        \"xiaohongshu\": {\n",[104,2374,2375],{"class":106,"line":202},[104,2376,2377],{},"            \"max_length\": 1000,\n",[104,2379,2380],{"class":106,"line":207},[104,2381,2324],{},[104,2383,2384],{"class":106,"line":213},[104,2385,2386],{},"            \"image_count\": \"3-9张\",\n",[104,2388,2389],{"class":106,"line":219},[104,2390,2391],{},"            \"format\": \"纯文本+图片\"\n",[104,2393,2394],{"class":106,"line":225},[104,2395,772],{},[104,2397,2398],{"class":106,"line":230},[104,2399,521],{},[104,2401,2402],{"class":106,"line":236},[104,2403,135],{"emptyLinePlaceholder":134},[104,2405,2406],{"class":106,"line":242},[104,2407,2408],{},"    rules = platform_rules.get(platform, {})\n",[104,2410,2411],{"class":106,"line":248},[104,2412,135],{"emptyLinePlaceholder":134},[104,2414,2415],{"class":106,"line":253},[104,2416,2417],{},"    # 根据规则调整内容\n",[104,2419,2420],{"class":106,"line":780},[104,2421,2422],{},"    adapted = await adjust_content(content, rules)\n",[104,2424,2425],{"class":106,"line":785},[104,2426,135],{"emptyLinePlaceholder":134},[104,2428,2429],{"class":106,"line":793},[104,2430,2431],{},"    return adapted\n",[90,2433,2434],{"id":2434},"一键发布",[94,2436,2438],{"className":262,"code":2437,"language":264,"meta":99,"style":99},"{\n  \"workflow\": {\n    \"id\": \"multi-platform-publish\",\n    \"name\": \"多平台发布\",\n    \"trigger\": {\n      \"type\": \"manual\"\n    },\n    \"steps\": [\n      {\n        \"id\": \"prepare\",\n        \"type\": \"action\",\n        \"action\": \"prepareContent\",\n        \"params\": {\n          \"content\": \"{{input.content}}\",\n          \"images\": \"{{input.images}}\"\n        }\n      },\n      {\n        \"id\": \"adapt-wechat\",\n        \"type\": \"action\",\n        \"action\": \"adaptContent\",\n        \"params\": {\n          \"platform\": \"wechat\"\n        }\n      },\n      {\n        \"id\": \"publish-wechat\",\n        \"type\": \"action\",\n        \"action\": \"publishToWechat\",\n        \"params\": {\n          \"title\": \"{{input.title}}\",\n          \"content\": \"{{adapt-wechat.result}}\"\n        }\n      },\n      {\n        \"id\": \"adapt-xiaohongshu\",\n        \"type\": \"action\",\n        \"action\": \"adaptContent\",\n        \"params\": {\n          \"platform\": \"xiaohongshu\"\n        }\n      },\n      {\n        \"id\": \"publish-xiaohongshu\",\n        \"type\": \"action\",\n        \"action\": \"publishToXiaohongshu\",\n        \"params\": {\n          \"content\": \"{{adapt-xiaohongshu.result}}\",\n          \"images\": \"{{input.images}}\"\n        }\n      }\n    ]\n  }\n}\n",[101,2439,2440,2444,2450,2461,2472,2478,2486,2490,2496,2500,2511,2522,2534,2541,2552,2562,2566,2570,2574,2585,2595,2606,2612,2622,2626,2630,2634,2645,2655,2666,2672,2684,2693,2697,2701,2705,2716,2726,2736,2742,2751,2755,2759,2763,2774,2784,2795,2801,2812,2821,2826,2831,2836,2841],{"__ignoreMap":99},[104,2441,2442],{"class":106,"line":107},[104,2443,272],{"class":271},[104,2445,2446,2448],{"class":106,"line":113},[104,2447,278],{"class":277},[104,2449,281],{"class":271},[104,2451,2452,2454,2456,2459],{"class":106,"line":119},[104,2453,286],{"class":277},[104,2455,289],{"class":271},[104,2457,2458],{"class":292},"\"multi-platform-publish\"",[104,2460,296],{"class":271},[104,2462,2463,2465,2467,2470],{"class":106,"line":125},[104,2464,301],{"class":277},[104,2466,289],{"class":271},[104,2468,2469],{"class":292},"\"多平台发布\"",[104,2471,296],{"class":271},[104,2473,2474,2476],{"class":106,"line":131},[104,2475,313],{"class":277},[104,2477,281],{"class":271},[104,2479,2480,2482,2484],{"class":106,"line":138},[104,2481,320],{"class":277},[104,2483,289],{"class":271},[104,2485,325],{"class":292},[104,2487,2488],{"class":106,"line":144},[104,2489,330],{"class":271},[104,2491,2492,2494],{"class":106,"line":150},[104,2493,335],{"class":277},[104,2495,338],{"class":271},[104,2497,2498],{"class":106,"line":155},[104,2499,343],{"class":271},[104,2501,2502,2504,2506,2509],{"class":106,"line":161},[104,2503,348],{"class":277},[104,2505,289],{"class":271},[104,2507,2508],{"class":292},"\"prepare\"",[104,2510,296],{"class":271},[104,2512,2513,2515,2517,2520],{"class":106,"line":167},[104,2514,360],{"class":277},[104,2516,289],{"class":271},[104,2518,2519],{"class":292},"\"action\"",[104,2521,296],{"class":271},[104,2523,2524,2527,2529,2532],{"class":106,"line":173},[104,2525,2526],{"class":277},"        \"action\"",[104,2528,289],{"class":271},[104,2530,2531],{"class":292},"\"prepareContent\"",[104,2533,296],{"class":271},[104,2535,2536,2539],{"class":106,"line":179},[104,2537,2538],{"class":277},"        \"params\"",[104,2540,281],{"class":271},[104,2542,2543,2545,2547,2550],{"class":106,"line":185},[104,2544,649],{"class":277},[104,2546,289],{"class":271},[104,2548,2549],{"class":292},"\"{{input.content}}\"",[104,2551,296],{"class":271},[104,2553,2554,2557,2559],{"class":106,"line":190},[104,2555,2556],{"class":277},"          \"images\"",[104,2558,289],{"class":271},[104,2560,2561],{"class":292},"\"{{input.images}}\"\n",[104,2563,2564],{"class":106,"line":196},[104,2565,772],{"class":271},[104,2567,2568],{"class":106,"line":202},[104,2569,388],{"class":271},[104,2571,2572],{"class":106,"line":207},[104,2573,343],{"class":271},[104,2575,2576,2578,2580,2583],{"class":106,"line":213},[104,2577,348],{"class":277},[104,2579,289],{"class":271},[104,2581,2582],{"class":292},"\"adapt-wechat\"",[104,2584,296],{"class":271},[104,2586,2587,2589,2591,2593],{"class":106,"line":219},[104,2588,360],{"class":277},[104,2590,289],{"class":271},[104,2592,2519],{"class":292},[104,2594,296],{"class":271},[104,2596,2597,2599,2601,2604],{"class":106,"line":225},[104,2598,2526],{"class":277},[104,2600,289],{"class":271},[104,2602,2603],{"class":292},"\"adaptContent\"",[104,2605,296],{"class":271},[104,2607,2608,2610],{"class":106,"line":230},[104,2609,2538],{"class":277},[104,2611,281],{"class":271},[104,2613,2614,2617,2619],{"class":106,"line":236},[104,2615,2616],{"class":277},"          \"platform\"",[104,2618,289],{"class":271},[104,2620,2621],{"class":292},"\"wechat\"\n",[104,2623,2624],{"class":106,"line":242},[104,2625,772],{"class":271},[104,2627,2628],{"class":106,"line":248},[104,2629,388],{"class":271},[104,2631,2632],{"class":106,"line":253},[104,2633,343],{"class":271},[104,2635,2636,2638,2640,2643],{"class":106,"line":780},[104,2637,348],{"class":277},[104,2639,289],{"class":271},[104,2641,2642],{"class":292},"\"publish-wechat\"",[104,2644,296],{"class":271},[104,2646,2647,2649,2651,2653],{"class":106,"line":785},[104,2648,360],{"class":277},[104,2650,289],{"class":271},[104,2652,2519],{"class":292},[104,2654,296],{"class":271},[104,2656,2657,2659,2661,2664],{"class":106,"line":793},[104,2658,2526],{"class":277},[104,2660,289],{"class":271},[104,2662,2663],{"class":292},"\"publishToWechat\"",[104,2665,296],{"class":271},[104,2667,2668,2670],{"class":106,"line":805},[104,2669,2538],{"class":277},[104,2671,281],{"class":271},[104,2673,2674,2677,2679,2682],{"class":106,"line":812},[104,2675,2676],{"class":277},"          \"title\"",[104,2678,289],{"class":271},[104,2680,2681],{"class":292},"\"{{input.title}}\"",[104,2683,296],{"class":271},[104,2685,2686,2688,2690],{"class":106,"line":840},[104,2687,649],{"class":277},[104,2689,289],{"class":271},[104,2691,2692],{"class":292},"\"{{adapt-wechat.result}}\"\n",[104,2694,2695],{"class":106,"line":863},[104,2696,772],{"class":271},[104,2698,2699],{"class":106,"line":886},[104,2700,388],{"class":271},[104,2702,2703],{"class":106,"line":909},[104,2704,343],{"class":271},[104,2706,2707,2709,2711,2714],{"class":106,"line":932},[104,2708,348],{"class":277},[104,2710,289],{"class":271},[104,2712,2713],{"class":292},"\"adapt-xiaohongshu\"",[104,2715,296],{"class":271},[104,2717,2718,2720,2722,2724],{"class":106,"line":937},[104,2719,360],{"class":277},[104,2721,289],{"class":271},[104,2723,2519],{"class":292},[104,2725,296],{"class":271},[104,2727,2728,2730,2732,2734],{"class":106,"line":942},[104,2729,2526],{"class":277},[104,2731,289],{"class":271},[104,2733,2603],{"class":292},[104,2735,296],{"class":271},[104,2737,2738,2740],{"class":106,"line":950},[104,2739,2538],{"class":277},[104,2741,281],{"class":271},[104,2743,2744,2746,2748],{"class":106,"line":962},[104,2745,2616],{"class":277},[104,2747,289],{"class":271},[104,2749,2750],{"class":292},"\"xiaohongshu\"\n",[104,2752,2753],{"class":106,"line":969},[104,2754,772],{"class":271},[104,2756,2757],{"class":106,"line":992},[104,2758,388],{"class":271},[104,2760,2761],{"class":106,"line":1015},[104,2762,343],{"class":271},[104,2764,2765,2767,2769,2772],{"class":106,"line":1038},[104,2766,348],{"class":277},[104,2768,289],{"class":271},[104,2770,2771],{"class":292},"\"publish-xiaohongshu\"",[104,2773,296],{"class":271},[104,2775,2776,2778,2780,2782],{"class":106,"line":1061},[104,2777,360],{"class":277},[104,2779,289],{"class":271},[104,2781,2519],{"class":292},[104,2783,296],{"class":271},[104,2785,2786,2788,2790,2793],{"class":106,"line":1066},[104,2787,2526],{"class":277},[104,2789,289],{"class":271},[104,2791,2792],{"class":292},"\"publishToXiaohongshu\"",[104,2794,296],{"class":271},[104,2796,2797,2799],{"class":106,"line":1071},[104,2798,2538],{"class":277},[104,2800,281],{"class":271},[104,2802,2803,2805,2807,2810],{"class":106,"line":1076},[104,2804,649],{"class":277},[104,2806,289],{"class":271},[104,2808,2809],{"class":292},"\"{{adapt-xiaohongshu.result}}\"",[104,2811,296],{"class":271},[104,2813,2815,2817,2819],{"class":106,"line":2814},49,[104,2816,2556],{"class":277},[104,2818,289],{"class":271},[104,2820,2561],{"class":292},[104,2822,2824],{"class":106,"line":2823},50,[104,2825,772],{"class":271},[104,2827,2829],{"class":106,"line":2828},51,[104,2830,458],{"class":271},[104,2832,2834],{"class":106,"line":2833},52,[104,2835,463],{"class":271},[104,2837,2839],{"class":106,"line":2838},53,[104,2840,468],{"class":271},[104,2842,2844],{"class":106,"line":2843},54,[104,2845,473],{"class":271},[17,2847,2848],{"id":2848},"内容日历",[90,2850,2851],{"id":2851},"发布计划",[94,2853,2855],{"className":262,"code":2854,"language":264,"meta":99,"style":99},"{\n  \"content_calendar\": {\n    \"monday\": {\n      \"platform\": \"知乎\",\n      \"type\": \"技术文章\",\n      \"time\": \"10:00\"\n    },\n    \"wednesday\": {\n      \"platform\": \"微信公众号\",\n      \"type\": \"深度分析\",\n      \"time\": \"20:00\"\n    },\n    \"friday\": {\n      \"platform\": \"小红书\",\n      \"type\": \"经验分享\",\n      \"time\": \"18:00\"\n    }\n  }\n}\n",[101,2856,2857,2861,2868,2875,2887,2897,2907,2911,2918,2929,2940,2949,2953,2960,2971,2982,2991,2995,2999],{"__ignoreMap":99},[104,2858,2859],{"class":106,"line":107},[104,2860,272],{"class":271},[104,2862,2863,2866],{"class":106,"line":113},[104,2864,2865],{"class":277},"  \"content_calendar\"",[104,2867,281],{"class":271},[104,2869,2870,2873],{"class":106,"line":119},[104,2871,2872],{"class":277},"    \"monday\"",[104,2874,281],{"class":271},[104,2876,2877,2880,2882,2885],{"class":106,"line":125},[104,2878,2879],{"class":277},"      \"platform\"",[104,2881,289],{"class":271},[104,2883,2884],{"class":292},"\"知乎\"",[104,2886,296],{"class":271},[104,2888,2889,2891,2893,2895],{"class":106,"line":131},[104,2890,320],{"class":277},[104,2892,289],{"class":271},[104,2894,618],{"class":292},[104,2896,296],{"class":271},[104,2898,2899,2902,2904],{"class":106,"line":138},[104,2900,2901],{"class":277},"      \"time\"",[104,2903,289],{"class":271},[104,2905,2906],{"class":292},"\"10:00\"\n",[104,2908,2909],{"class":106,"line":144},[104,2910,330],{"class":271},[104,2912,2913,2916],{"class":106,"line":150},[104,2914,2915],{"class":277},"    \"wednesday\"",[104,2917,281],{"class":271},[104,2919,2920,2922,2924,2927],{"class":106,"line":155},[104,2921,2879],{"class":277},[104,2923,289],{"class":271},[104,2925,2926],{"class":292},"\"微信公众号\"",[104,2928,296],{"class":271},[104,2930,2931,2933,2935,2938],{"class":106,"line":161},[104,2932,320],{"class":277},[104,2934,289],{"class":271},[104,2936,2937],{"class":292},"\"深度分析\"",[104,2939,296],{"class":271},[104,2941,2942,2944,2946],{"class":106,"line":167},[104,2943,2901],{"class":277},[104,2945,289],{"class":271},[104,2947,2948],{"class":292},"\"20:00\"\n",[104,2950,2951],{"class":106,"line":173},[104,2952,330],{"class":271},[104,2954,2955,2958],{"class":106,"line":179},[104,2956,2957],{"class":277},"    \"friday\"",[104,2959,281],{"class":271},[104,2961,2962,2964,2966,2969],{"class":106,"line":185},[104,2963,2879],{"class":277},[104,2965,289],{"class":271},[104,2967,2968],{"class":292},"\"小红书\"",[104,2970,296],{"class":271},[104,2972,2973,2975,2977,2980],{"class":106,"line":190},[104,2974,320],{"class":277},[104,2976,289],{"class":271},[104,2978,2979],{"class":292},"\"经验分享\"",[104,2981,296],{"class":271},[104,2983,2984,2986,2988],{"class":106,"line":196},[104,2985,2901],{"class":277},[104,2987,289],{"class":271},[104,2989,2990],{"class":292},"\"18:00\"\n",[104,2992,2993],{"class":106,"line":202},[104,2994,521],{"class":271},[104,2996,2997],{"class":106,"line":207},[104,2998,468],{"class":271},[104,3000,3001],{"class":106,"line":213},[104,3002,473],{"class":271},[90,3004,3005],{"id":3005},"自动提醒",[94,3007,3009],{"className":96,"code":3008,"language":98,"meta":99,"style":99},"async def schedule_reminder(calendar):\n    \"\"\"发布提醒\"\"\"\n    for day, plan in calendar.items():\n        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当成一次性安装项目。","/docs/getting-started/enterprise-ops-entry",[3414,3415,3393,3416,3417],"enterprise","operations","security","upgrades",{"title":3419,"description":3420,"path":3421,"category":3388,"updatedAt":3422,"sourceType":3423,"tags":3424},"创建第一个 Agent","从零开始创建你的第一个 OpenClaw Agent，理解 Agent 的基本概念和配置方式。","/docs/getting-started/first-agent","2026-05-26","official",[3394,3425,3426,3427],"quickstart","tutorial","basics",{"title":3429,"description":3430,"path":3431,"category":3388,"updatedAt":3422,"sourceType":3423,"tags":3432},"接入第一个渠道","学习如何将 OpenClaw Agent 接入消息渠道，实现多平台统一管理。","/docs/getting-started/first-channel",[3395,3425,3426,3427],{"title":3434,"description":3435,"path":3436,"category":3388,"updatedAt":3422,"sourceType":3423,"tags":3437},"添加第一个技能","学习如何为 OpenClaw Agent 添加和配置技能，让助手具备更多能力。","/docs/getting-started/first-skill",[3408,3425,3426,3427],{"title":3439,"description":3440,"path":3441,"category":3388,"updatedAt":3422,"sourceType":3423,"tags":3442},"创建第一个工作流","学习如何使用 OpenClaw 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只是审批前端这几层边界写得更清楚了。","/news/openclaw-gateway-pairing-expiry-watch-2026-03-25","https://docs.openclaw.ai/gateway/pairing",[3393,3748,4989,3689,3562],"pending",{"title":4991,"description":4992,"path":4993,"category":4829,"date":4023,"updatedAt":4023,"sourceType":3423,"source":4994,"tags":4995},"OpenClaw 正在把 Gateway 的 session source-of-truth 地位写得更明确","官方最新 Session 文档更明确地说明 session store、JSONL transcript 和 token 计数都应围绕 Gateway 理解，这会直接影响 WebChat、Dashboard 和远程 operator 的排障方式。","/news/openclaw-gateway-source-of-truth-watch-2026-03-26","https://docs.openclaw.ai/session",[3393,3610,3522,3452,4996],"state",{"title":4998,"description":4999,"path":5000,"category":4829,"date":3606,"updatedAt":3606,"sourceType":3423,"source":5001,"tags":5002},"OpenClaw 开始把群聊入口判断顺序写成可复述规则","官方最近在 Groups、Group Messages 和 Messages 文档里，把群入口的 groupPolicy、allowlist 和 mention gating 顺序写得更完整了，也让“没回”和“没进系统”首次更容易区分。","/news/openclaw-group-policy-watch-2026-03-25","https://docs.openclaw.ai/channels/groups",[3609,4421,3834,3767,3591],{"title":5004,"description":5005,"path":5006,"category":4829,"date":3616,"updatedAt":3616,"sourceType":3423,"source":5001,"tags":5007},"OpenClaw 正在把群触发从“@一下就行”写成更完整的治理链","官方最近围绕 Groups、Group Messages 和 Broadcast Groups 的文档更新，正在把 reply-to implicit mention、pending history、forum topic session key 和 shared-group rollout 写成更完整的群入口治理链。","/news/openclaw-group-trigger-governance-watch-2026-03-29",[3609,4494,5008,3608,3881],"activation",{"title":5010,"description":5011,"path":5012,"category":4829,"date":3606,"updatedAt":3606,"sourceType":3423,"source":5013,"tags":5014},"OpenClaw 配置观察：include 合并边界正在从“能拆文件”继续走向“能预测最终结果”","基于 2026 年 3 月 25 日可见的官方 Configuration 文档，最近配置层最值得关注的变化之一是 include、数组处理和 sibling override 的顺序正在被官方主动写清。","/news/openclaw-include-merge-boundary-watch-2026-03-25","https://docs.openclaw.ai/gateway/configuration",[3407,4441,4055,4442,3415],{"title":5016,"description":5017,"path":5018,"category":4623,"date":3465,"updatedAt":3465,"sourceType":3423,"source":5019,"tags":5020},"OpenClaw 官方 Showcase 基础设施观察：Home Assistant、Nix 与远程文件流转正在成为高频落地方向","基于 2026 年 3 月 21 日可见的官方 Showcase 页面，整理最近最值得关注的基础设施与部署类案例，观察 OpenClaw 在家庭服务器、可复现部署和远程实例运维上的真实应用。","/news/openclaw-infra-showcase-watch-2026-03-21","https://docs.openclaw.ai/start/showcase",[5021,4563,5022,5023,5024],"showcase","home-assistant","nix","infrastructure",{"title":5026,"description":5027,"path":5028,"category":4829,"date":3588,"updatedAt":3588,"sourceType":3423,"source":5029,"tags":5030},"OpenClaw 的长期会话治理能力正在变完整","官方最近围绕 session、memory、compaction 和 secure DM mode 的文档更新，正在把长期连续性、上下文边界和重置策略拼成一条更完整的治理链。","/news/openclaw-long-session-governance-watch-2026-03-22","https://docs.openclaw.ai/concepts/session",[3547,3397,3980,4912,3881],{"title":5032,"description":5033,"path":5034,"category":4829,"date":3588,"updatedAt":3588,"sourceType":3423,"source":5035,"tags":5036},"OpenClaw 的后台维护生命周期正在变清楚","官方最近围绕 cron、sessions cleanup、doctor 和 retention 的文档更新，正在把长期运行时的会话、日志和作业痕迹分成更清楚的维护层次。","/news/openclaw-maintenance-lifecycle-watch-2026-03-22","https://docs.openclaw.ai/cron",[4181,3571,3547,4070,3415],{"title":5038,"description":5039,"path":5040,"category":4649,"date":4624,"updatedAt":3457,"sourceType":4323,"source":4651,"tags":5041},"OpenClaw 2026年3月版本更新：技能系统与安全性全面升级","OpenClaw 发布重要更新，带来性能优化、全新技能系统和安全性改进。","/news/openclaw-march-2026-update",[4178,4251,4179,3408,3416],{"title":5043,"description":5044,"path":5045,"category":4829,"date":3507,"updatedAt":3507,"sourceType":3423,"source":5046,"tags":5047},"OpenClaw 记忆观察：Markdown 仍然是 source of truth，memory plugin slot 正在把索引层做成可切换能力","基于 2026 年 3 月 24 日可见的官方 Memory、CLI memory 与 Plugins 文档，最近最值得关注的变化之一是记忆体系的文件事实层和插件增强层正在被官方主动拆清。","/news/openclaw-memory-plugin-slot-watch-2026-03-24","https://docs.openclaw.ai/concepts/memory",[3397,3499,3802,3794,3809],{"title":5049,"description":5050,"path":5051,"category":4829,"date":3616,"updatedAt":3616,"sourceType":3423,"source":5046,"tags":5052},"OpenClaw 正在把记忆检索从“向量搜索”写成一条完整流水线","官方最近围绕 Memory 和 memory CLI 的文档更新，正在把 hybrid search、重排、temporal decay、session indexing 和 embedding cache 逐步写成一条更完整的检索链。","/news/openclaw-memory-retrieval-pipeline-watch-2026-03-29",[3397,4457,4454,3810,3934],{"title":5054,"description":5055,"path":5056,"category":4623,"date":3465,"updatedAt":3465,"sourceType":3423,"source":5019,"tags":5057},"OpenClaw 官方 Showcase 记忆观察：WhatsApp Memory Vault、Karakeep 与中文学习 Skill 正在把语音和知识流转成长期资产","基于 2026 年 3 月 21 日可见的官方 Showcase 页面，整理最近最值得中文站关注的记忆与知识类案例，观察 OpenClaw 如何把转录、向量检索和学习流程接成长链路。","/news/openclaw-memory-showcase-watch-2026-03-21",[5021,3397,3697,5058,5059],"vector-search","knowledge",{"title":5061,"description":5062,"path":5063,"category":4829,"date":3606,"updatedAt":3606,"sourceType":3423,"source":5064,"tags":5065},"OpenClaw 的 mention gating 正在从单一 @ 规则变成跨渠道触发层","官方最新 Groups 和 Group Messages 文档显示，mention gating 已经不再只服务 WhatsApp 群，而是在 Telegram、Slack、Discord、iMessage 等入口上逐步形成统一触发层。","/news/openclaw-mention-gating-watch-2026-03-25","https://docs.openclaw.ai/channels/group-messages",[4421,3609,3636,3638,3704],{"title":5067,"description":5068,"path":5069,"category":4829,"date":3588,"updatedAt":3588,"sourceType":3423,"source":5070,"tags":5071},"OpenClaw 的消息入口语义正在变清楚","官方最近围绕 Messages、WebChat 和 Channel Routing 的文档更新，正在把消息入口、上下文桶、历史展示和投递节奏拆成更明确的几层。","/news/openclaw-message-surface-watch-2026-03-22","https://docs.openclaw.ai/messages",[3767,3522,3591,3771,3395],{"title":5073,"description":5074,"path":5075,"category":4829,"date":3507,"updatedAt":3507,"sourceType":3423,"source":4898,"tags":5076},"OpenClaw 模型观察：models status 正在从状态展示继续长成探活入口","基于 2026 年 3 月 24 日可见的官方 CLI 文档，最近模型层最值得关注的变化之一是 models status 已经不只负责展示主模型和 fallback，而是开始承担 auth profile 探测。","/news/openclaw-model-probe-watch-2026-03-24",[3515,4463,3581,3583,4140],{"title":5078,"description":5079,"path":5080,"category":4829,"date":3606,"updatedAt":3606,"sourceType":3423,"source":5081,"tags":5082},"OpenClaw 节点观察：headless node、普通设备节点与 Gateway 的宿主边界正在被官方写清","基于 2026 年 3 月 25 日可见的官方 Nodes、Architecture 与 Pairing 文档，最近节点层最值得关注的变化之一是能力宿主边界正在被主动拆清。","/news/openclaw-node-host-boundary-watch-2026-03-25","https://docs.openclaw.ai/nodes",[3562,3747,3393,3748,3749],{"title":5084,"description":5085,"path":5086,"category":4623,"date":3465,"updatedAt":3465,"sourceType":3423,"source":5087,"tags":5088},"OpenClaw 接入观察：从 2026.1.29 的迁移信号到现在的 Onboarding Wizard，官方已经把“第一次跑通”做成更完整链路","基于 2026 年 3 月 21 日可见的官方 Onboarding、Install 与 Releases 页面，整理 OpenClaw 从命名迁移、路径自动迁移到本地/远程 wizard 分流这条接入链路最近最值得注意的变化。","/news/openclaw-onboarding-migration-watch-2026-03-21","https://docs.openclaw.ai/start/wizard",[3451,4608,3875,4609,4181],{"title":5090,"description":5091,"path":5092,"category":4829,"date":4023,"updatedAt":4023,"sourceType":3423,"source":4917,"tags":5093},"OpenClaw 的远程 operator 正在从“谁都能开网页”转向浏览器级交接管理","随着 Dashboard、Control UI 和 device pairing 文档持续补强，官方越来越清楚地把浏览器 profile、设备 pairing 和控制面交接写成同一条管理面问题。","/news/openclaw-operator-browser-watch-2026-03-26",[4193,3690,3669,3748,3467],{"title":5095,"description":5096,"path":5097,"category":4829,"date":3616,"updatedAt":3616,"sourceType":3423,"source":5098,"tags":5099},"OpenClaw 正在把 Dashboard、WebChat 和 WebSocket 收成一套 operator surface","官方最近围绕 Dashboard、WebChat 和 Gateway Protocol 的文档更新，越来越清楚地把这些入口解释成同一套 operator surface 的不同层，而不是彼此割裂的功能页。","/news/openclaw-operator-surface-convergence-watch-2026-03-29","https://docs.openclaw.ai/gateway/protocol",[3452,3522,4031,4193,3563],{"title":5101,"description":5102,"path":5103,"category":4829,"date":3606,"updatedAt":3606,"sourceType":3423,"source":4940,"tags":5104},"OpenClaw 的 pairing CLI 正在从单条 approve 命令长成正式入口治理面","官方最近把 pairing CLI 的 list、clear、--account 和 --notify 等行为写得更完整了，也让聊天入口审批越来越像一套正式的运营控制面。","/news/openclaw-pairing-cli-scope-watch-2026-03-25",[3748,4301,3395,4302,3415],{"title":5106,"description":5107,"path":5108,"category":4623,"date":3465,"updatedAt":3465,"sourceType":3423,"source":5109,"tags":5110},"OpenClaw 官方插件生态观察：社区插件、内置 Provider 插件与 Hook Pack 正在形成更完整扩展层","基于 2026 年 3 月 21 日可见的官方插件与 hooks 文档，整理 OpenClaw 插件生态最近最值得关注的三个变化：社区插件目录、package pack、多层 hooks 组织方式。","/news/openclaw-plugin-ecosystem-watch-2026-03-21","https://docs.openclaw.ai/plugins",[3499,3661,3501,3368,3662],{"title":5112,"description":5113,"path":5114,"category":4829,"date":3507,"updatedAt":3507,"sourceType":3423,"source":5115,"tags":5116},"OpenClaw 插件观察：安装 spec 和 update tracking 正在决定插件后续会沿哪条轨道走","基于 2026 年 3 月 24 日可见的官方 plugins CLI 文档，最近插件层最值得关注的变化之一是 install spec、--pin 与 plugins.installs 正在被官方主动连成一条生命周期链。","/news/openclaw-plugin-install-tracking-watch-2026-03-24","https://docs.openclaw.ai/cli/plugins",[3499,3644,4475,4476,4180],{"title":5118,"description":5119,"path":5120,"category":4829,"date":3507,"updatedAt":3507,"sourceType":3423,"source":5121,"tags":5122},"OpenClaw 工作流观察：OpenProse 与 Lobster 的上下层分工正在变清楚","基于 2026 年 3 月 24 日可见的官方 Lobster 文档，最近最值得关注的信号是 OpenProse 与 Lobster 的边界正在被官方主动写清，多智能体准备和确定性执行不再混成一层。","/news/openclaw-prose-lobster-watch-2026-03-24","https://docs.openclaw.ai/tools/lobster",[3862,3863,3443,3714,3500],{"title":5124,"description":5125,"path":5126,"category":4829,"date":3616,"updatedAt":3616,"sourceType":3423,"source":5127,"tags":5128},"OpenClaw 正在把 provider、模型和远程执行分成不同治理层","官方最近围绕 Models、Model Failover 和 node 的文档更新，正在把 provider auth、模型 allowlist、多模态能力和远程 node 执行拆成更清楚的治理层。","/news/openclaw-provider-capability-governance-watch-2026-03-29","https://docs.openclaw.ai/concepts/models",[3581,3515,3562,3583,3881],{"title":5130,"description":5131,"path":5132,"category":4829,"date":3616,"updatedAt":3616,"sourceType":3423,"source":5133,"tags":5134},"OpenClaw 的 provider 故障恢复正在变成一条更清楚的梯子","官方最近围绕 Model Failover、Gateway Troubleshooting、LiteLLM 和 Cloudflare AI Gateway 的文档更新，正在把模型故障从“直接换模型”收敛成更清楚的几层：能力条件、profile 轮转、统一网关和跨模型 fallback。","/news/openclaw-provider-recovery-ladder-watch-2026-03-29","https://docs.openclaw.ai/concepts/model-failover",[3581,4265,3515,3393,3415],{"title":5136,"description":5137,"path":5138,"category":4623,"date":3465,"updatedAt":3465,"sourceType":3423,"source":4817,"tags":5139},"OpenClaw 发布观察：2026.3.13 恢复型 Release 暴露出版本跟踪里最容易忽略的三层差异","基于 2026 年 3 月 21 日可见的 GitHub Releases 页面，整理 OpenClaw 2026.3.13 恢复型 Release 的关键信号，以及中文站在跟踪版本时最该注意的 npm 版本、Git tag 和 GitHub Release 名称差异。","/news/openclaw-release-watch-2026-03-21",[4178,4179,4181,4180],{"title":5141,"description":5142,"path":5143,"category":4829,"date":3588,"updatedAt":3588,"sourceType":3423,"source":4843,"tags":5144},"OpenClaw 的远程管理员面边界越来越清楚","官方最近围绕 Dashboard、Pairing、Gateway-owned pairing 与 nodes 的文档更新，正在把远程协作、浏览器入口和设备接入的边界拆得更清楚。","/news/openclaw-remote-admin-watch-2026-03-22",[3452,3748,3562,3467,4084],{"title":5146,"description":5147,"path":5148,"category":4829,"date":3606,"updatedAt":3606,"sourceType":3423,"source":5149,"tags":5150},"OpenClaw 的 routing precedence 正在成为更明确的排障坐标系","官方最近围绕 Channel Routing 的写法，正在把 peer、thread inheritance、guild、team、account 和 channel 等命中层级固定下来，让路由排障越来越像查规则，而不是猜模型。","/news/openclaw-routing-precedence-watch-2026-03-25","https://docs.openclaw.ai/channels/channel-routing",[3591,3590,5151,3395,3592],"threads",{"title":5153,"description":5154,"path":5155,"category":4829,"date":3568,"updatedAt":3568,"sourceType":3423,"source":5156,"tags":5157},"OpenClaw 把 SearXNG 推进 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