[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"pack-detail-newsletter-writer-ai-pack-zh":3,"seo:pack:newsletter-writer-ai-pack:zh":103},{"code":4,"message":5,"data":6},200,"操作成功",{"pack":7},{"slug":8,"icon":9,"tone":10,"status":11,"status_label":12,"title":13,"description":14,"items":15,"install_cmd":102},"newsletter-writer-ai-pack","📰","#F59E0B","new","本周新建","Newsletter 作者全栈 —— Substack \u002F Beehiiv 创作者套件","给 Substack \u002F Beehiiv \u002F ConvertKit \u002F Ghost 作者的十件 AI 资产，把每周一封信当流水线来跑：选题、深度研究、起草、文笔 lint、Hook 模板库、封面图、RSS 信号采集，到一个真正握住订阅名单的发布平台。",[16,28,36,46,53,63,70,77,85,92],{"id":17,"uuid":18,"slug":19,"title":20,"description":21,"author_name":22,"view_count":23,"vote_count":24,"lang_type":25,"type":26,"type_label":27},4297,"721d23c5-ffea-448c-b2a6-67c905855aad","claude-code-agent-content-marketer-721d23c5","Claude Code Agent: Content Marketer","Use this agent when you need to develop comprehensive content strategies, create SEO-optimized marketing content, or execute multi-channel content campaigns to drive engagement...","TokRepo精选",46,0,"en","skill","Skill",{"id":29,"uuid":30,"slug":31,"title":32,"description":33,"author_name":34,"view_count":35,"vote_count":24,"lang_type":25,"type":26,"type_label":27},391,"f09e9348-2bdc-45aa-9907-cfb30290f69b","storm-ai-research-report-generator-stanford-f09e9348","STORM — AI Research Report Generator by Stanford","Stanford's LLM-powered system that researches any topic and writes a full Wikipedia-style article with citations. Simulates multi-perspective expert conversations.","Skill Factory",203,{"id":37,"uuid":38,"slug":39,"title":40,"description":41,"author_name":42,"view_count":43,"vote_count":24,"lang_type":25,"type":44,"type_label":45},722,"9c6cbf5f-e46b-40d6-aaf6-d2a4d5a0e657","jina-reader-ai-friendly-web-content-extraction-9c6cbf5f","Jina Reader — AI-Friendly Web Content Extraction","Convert any URL to clean markdown for AI consumption. Free API at r.jina.ai strips ads, navigation, and clutter. Used by AI agents for web research and RAG.","MCP Hub",6919,"mcp","MCP",{"id":47,"uuid":48,"slug":49,"title":50,"description":51,"author_name":52,"view_count":23,"vote_count":24,"lang_type":25,"type":26,"type_label":27},4543,"068b43a3-539f-11f1-9bc6-00163e2b0d79","folo-ai-powered-rss-reader-modern-web-068b43a3","Folo — AI-Powered RSS Reader for the Modern Web","An open-source RSS reader that uses AI to summarize, translate, and filter feeds, delivering a clean reading experience across web, desktop, and mobile with real-time sync.","AI Open Source",{"id":54,"uuid":55,"slug":56,"title":57,"description":58,"author_name":59,"view_count":60,"vote_count":24,"lang_type":25,"type":61,"type_label":62},312,"64bf132d-10f5-4c1a-adcc-9fb19af8cb3b","fabric-100-ai-prompt-patterns-everything-64bf132d","Fabric — 100+ AI Prompt Patterns for Everything","Fabric organizes 100+ AI prompt patterns for real-world tasks. 40.3K+ GitHub stars. 20+ providers, CLI + REST API, custom patterns. MIT.","Prompt Lab",193,"prompt","Prompt",{"id":64,"uuid":65,"slug":66,"title":67,"description":68,"author_name":52,"view_count":69,"vote_count":24,"lang_type":25,"type":26,"type_label":27},2604,"ae682a86-4771-11f1-9bc6-00163e2b0d79","zettlr-open-source-markdown-editor-academic-writing-ae682a86","Zettlr — Open-Source Markdown Editor for Academic Writing","Zettlr is a cross-platform Markdown editor designed for researchers and writers, combining distraction-free writing with citation management, Zettelkasten note-linking, and academic export via Pandoc.",145,{"id":71,"uuid":72,"slug":73,"title":74,"description":75,"author_name":52,"view_count":76,"vote_count":24,"lang_type":25,"type":26,"type_label":27},1865,"13b1fee7-3cf7-11f1-9bc6-00163e2b0d79","vale-syntax-aware-prose-linter-technical-writing-13b1fee7","Vale — Syntax-Aware Prose Linter for Technical Writing","Vale is a command-line tool that enforces writing style guides on your prose, supporting custom rules for documentation teams to ensure consistent terminology, tone, and formatting across Markdown, AsciiDoc, and more.",73,{"id":78,"uuid":79,"slug":80,"title":81,"description":82,"author_name":83,"view_count":84,"vote_count":24,"lang_type":25,"type":26,"type_label":27},776,"84500559-5ce6-41c7-ba22-9712153bb821","together-ai-image-generation-skill-claude-code-84500559","Together AI Image Generation Skill for Claude Code","Skill that teaches Claude Code Together AI's image generation API. Covers FLUX and Kontext models for text-to-image, image editing, and style transfer with correct parameters.","Together AI",128,{"id":86,"uuid":87,"slug":88,"title":89,"description":90,"author_name":52,"view_count":91,"vote_count":24,"lang_type":25,"type":26,"type_label":27},1328,"300e919c-381e-11f1-9bc6-00163e2b0d79","ghost-professional-publishing-platform-modern-journalism-300e919c","Ghost — Professional Publishing Platform for Modern Journalism","Ghost is an open-source publishing platform built for professional publishers. It bundles a blazing-fast Node.js CMS, Substack-style paid memberships, email newsletters, and SEO — everything a modern publication needs, self-hosted.",194,{"id":93,"uuid":94,"slug":95,"title":96,"description":97,"author_name":98,"view_count":99,"vote_count":24,"lang_type":25,"type":100,"type_label":101},2982,"d826f667-d0f9-4ded-895e-19ed5d774b47","resend-audiences-manage-email-lists-from-ai-agents","Resend Audiences — Manage Email Lists from AI Agents","Resend Audiences API lets agents add, remove, segment, unsubscribe email recipients. Tag-based segments. Compliant unsubscribe built in.","Resend",82,"script","Script","tokrepo install pack\u002Fnewsletter-writer-ai-pack",{"pageType":104,"pageKey":8,"locale":105,"title":106,"metaDescription":107,"h1":108,"tldr":109,"bodyMarkdown":110,"faq":111,"schema":127,"internalLinks":173,"citations":186,"wordCount":199,"generatedAt":200},"pack","zh","Newsletter 作者全栈 —— Substack \u002F Beehiiv \u002F ConvertKit \u002F Ghost 10 件套","Content Marketer agent、STORM、Jina Reader、Folo、Fabric、Zettlr、Vale、Together AI 出图、Ghost、Resend Audiences —— 独立 Newsletter 作者用来跑「选题→深度研究→起草→文笔 lint→封面图→发送」的 10 件资产。从 TokRepo 安装。","Newsletter 作者全栈 —— 一个独立运营者的流水线","十件资产，按顺序串好：先搭选题管道（RSS + prompt 模板库），再用研究 agent 挖深，然后在 markdown 编辑器里写，文笔 lint 一道，生成一张封面图，最后通过一个能把订阅名单作为文件导出的平台发出去。专为每周一封、不愿把读者交给可能随时改规则平台的 Substack \u002F Beehiiv \u002F ConvertKit \u002F Ghost 作者准备。","## 这个 pack 里装了什么（六层：idea \u002F 研究 \u002F draft \u002F 编辑 \u002F 配图 \u002F 发送）\n\n这是一个认真做 Newsletter 的人，在周更从爱好变成工作以后会自己搭起来的栈。十件资产，按层级排好，让**流水线的每一层都有一个默认选项**，周二早上不需要再做决策。\n\n- **选题层（2 件）：** Folo 把全网 RSS 装进一个收件箱，每天 5 分钟扫一遍。Fabric 的 100+ prompt 模板库，hook-writer \u002F summariser \u002F 角度发现器 \u002F 类比生成器全是一行 shell 命令。\n- **研究层（2 件）：** STORM 在你认定某个选题时做多源深度研究综合。Jina Reader 是日常版 —— 任意 URL 粘进去，输出 LLM 能直接读的干净 markdown。\n- **起草层（2 件）：** Content Marketer agent 把 brief 转成 outline + draft。Zettlr 是你真的能把稿子**写完**的 markdown 编辑器（脚注、引用、无干扰模式）。\n- **编辑层（1 件）：** Vale 抓出文笔破绽 —— 被动语态、含糊词、你自己的禁用词列表。这是阻止你的 Newsletter 读起来跟所有 AI 辅助 Newsletter 一模一样的那道关。\n- **配图层（1 件）：** Together AI Image Generation，60 秒一张封面图，独立开发者价位。一封一张，不再开 Canva 标签页。\n- **发送层（2 件）：** Ghost 是自托管的发布 + Newsletter 平台，订阅者名单和公开存档都归你自己。Resend Audiences 是 API 优先的方案，给那种想用脚本或 agent 驱动发送、做分群和 drip 序列的人。\n\n## 安装顺序（research → draft → edit → image → schedule → grow）\n\n1. **Folo** —— 第一个装。Newsletter 作者最复利的资产是品味，品味靠读出来。Folo 的 AI 驱动 RSS 阅读器把所有博客、Substack、新闻站拉进同一个队列；扫、star、标记「Newsletter 用」。每天 5 分钟，三个月以后你的选题 backlog 用不完。\n2. **Fabric** —— 第二个装。100+ prompt 模板意味着你周一晚 9 点不用再现想 prompt。`extract_wisdom`、`write_hook`、`find_logical_fallacies`、`create_summary` —— 写作常见动作全是一行命令。可以干净地和这个 pack 里的其他工具串成 shell 管道。\n3. **Jina Reader** —— 第三个装。日常研究工具。任意 URL → LLM 能读的干净 markdown，没有 HTML 噪音。和 Folo 配合用：Folo 标记 → Jina Reader 抽取 → 落进你的笔记给后面起草用。\n4. **STORM（斯坦福出品）** —— 第四个装。当某个选题值得写一篇正经长文而不只是快评时，STORM 做多源研究并产出一份结构化草稿 —— 你**用自己的口吻重写**。不要把 STORM 的输出原封不动发出去；它的作用是跳过「开 30 个标签页」那一段。\n5. **Claude Code Agent: Content Marketer** —— 第五个装。把 brief + 研究材料转成 outline + 一稿、外加多个 hook 候选的 agent。配合一份 `style.md` 让一稿就贴着你的节奏走。\n6. **Zettlr** —— 第六个装。真正写完的地方。Markdown 优先、脚注、引用管理钩子、无干扰模式。Substack 和 Beehiiv 都能干净地导入 markdown；Ghost 原生吃 markdown。\n7. **Vale** —— 第七个装。可以扩展自己禁用词列表的文笔 linter。抓出「deep dive」「让我们一起来探索」「XX 的世界」—— 让读者退订的 AI 味词。\n8. **Together AI Image Generation** —— 第八个装。封面图，60 秒一张，每封一张。不再开 Canva。\n9. **Ghost** —— 第九个装。平台层。CMS + Newsletter + 会员付费，一个可自托管的 Node 应用全包。下注：自己拿名单、自己拿存档，永远不会被平台单方面改规则坑。\n10. **Resend Audiences** —— 第十个装。API 优先的发送基建，用于让 agent 调度发送、按 cohort 分群、跑 drip 序列，不需要 UI 在 loop 里。\n\n## 它们怎么串起来（ASCII 流水线）\n\n```\n  ┌─ Folo（RSS 收件箱）─┐  ┌─ Fabric（prompt 模板）─┐\n  │ 每天 5 分钟扫       │  │ hook \u002F 角度 \u002F 摘要       │\n  └────────┬───────────┘  └────────┬─────────────────┘\n           │                       │\n           ▼                       ▼\n        star 项 ──────► 选题队列（一份文档）\n                              │\n                              ▼\n              ┌────── 选定选题 ──────┐\n              │                      │\n              ▼                      ▼\n        Jina Reader            STORM（深度研究）\n       （单 URL → md）        （多源综合）\n              │                      │\n              └──────────┬───────────┘\n                         ▼\n         Claude Code Agent: Content Marketer\n         (brief + 研究 → outline + draft + hook 候选)\n                         │\n                         ▼\n                    Zettlr（写）\n                         │\n                         ▼\n                    Vale（文笔 lint）\n                         │\n                         ▼\n         Together AI 出图（一张封面）\n                         │\n                         ▼\n          ┌─── Ghost ───┐  或  ┌── Resend Audiences ──┐\n          │ 文章+邮件    │     │ API 驱动发送          │\n          │ + 公开存档   │     │ + 分群 + drip         │\n          └─────┬───────┘     └─────────┬─────────────┘\n                ▼                       ▼\n          订阅者读 · 打开 · 分享 · 转发\n                │\n                ▼\n          回流到 Folo 作为增长信号（referrer、被提到）\n```\n\n关键拼接点：**Folo + Fabric**（原始信号→选题）、**Jina Reader + STORM**（两个深度的研究）、**Vale 在发送前**（在 AI 味词上路前抓住）。\n\n## 你会遇到的取舍\n\n- **AI 起草的一致性 vs 个人 voice 保留** —— Content Marketer agent 每次给你一份能用的草稿。草稿是合格的。但它不是**你**。补上这个差距的杠杆是一份持续维护的 `style.md`（禁用短语、你的句子节奏、你永远在说的三件事）作为 system context 喂给 agent。每月更新。如果省掉这一步，最近 6 期会读起来和另外 6 份 AI 辅助 Newsletter 一模一样，打开率会滑。\n- **Substack vs Beehiiv vs Ghost vs ConvertKit** —— Substack：上手最快、它自己拥有 Notes 和发现入口，但名单是「人质」，付费分成是真的扣的。Beehiiv：分析更强、推荐网络给力、订阅没分成但变现靠广告档位。Ghost：什么都你拥有，但你要自己跑服务器（或者付 Ghost Pro $9-25\u002F月）。ConvertKit（现在叫 Kit）：创作者电商工具最强，但 Reader 端公开存档弱。法则：如果失去名单你会哭就选 Ghost；想要平台带增长就 Substack 或 Beehiiv；要靠名单卖数字产品就 Kit。\n- **付费 Newsletter vs 免费** —— 付费只有在已有一群信任你的免费读者之后才成立。Day 1 就上付费的 Newsletter 大多数死掉。常见模式：免费跑 18 个月以上、5K+ 活跃订阅者、有清晰的高级内容主张（深度研究、私密社群、课程入口），然后开付费。免费转付费比付费转回免费容易。\n- **自托管（Ghost \u002F Listmonk）vs 托管（Substack \u002F Beehiiv）** —— 自托管成本约 $5\u002F月 + 出故障时你的时间。托管成本 0-10% 收入 + 「平台单方面改条款」的隐性风险。一个一人 Newsletter 在还没找到 voice 时，托管够用。一个已经是你生意一部分的 Newsletter，能负担运维就自托管。\n- **真实图库 vs AI 生成封面** —— AI 封面 60 秒一张够用，但第 20 期开始会显得通用。对冲方式：维护一份视觉风格指南（配色、构图规则、反复出现的元素）每次喂给 Together AI。否则每隔 4 期换真实照片或插画一次，打破 AI 模板感。\n\n## 常见踩坑\n\n- **AI Newsletter 味**。症状：每期都「你有没有想过」开头、「下周见，朋友」结尾、满篇「让我们深入了解」「在本期我们将探索」「XX 的世界」。解法：把这些短语作为 error 写进 Vale 配置。强迫自己每篇开头第一句**手写**，不让 agent 介入。节奏的不规整就是「对面是个真人」的信号。\n- **没做 cohort 分群**。3K 订阅者全部收到每封邮件。200 个高互动的人和 200 个 6 个月没打开的人收到一样的邮件。结果是把活跃的人烧出去、休眠的人永远叫不回来。哪怕只做两段分群（最近 30 天打开过 vs 其他）也能让你发一封召回邮件而不骚扰不需要它的人。\n- **Substack 锁死**。你在 Substack 跑了三年攒到 10K 订阅。你导出名单（Substack 允许导出）。导入到 Ghost。打开率掉了，因为你失去了 Substack 网络的发现入口、域名信誉是新的。锁死不在「导出按钮」上，锁死在分发上。**在你还在 Substack 上的时候**就规划退路：用 custom domain 把订阅者引到自己的域名、在外面建一个 SEO 友好的存档、让名单习惯你真实的 URL。\n- **封面图一眼 AI**。光滑渐变、似人非人的脸多一根手指、像油画一样打光的笔记本前的人。读者现在都看得出来。解法：选一个具体视觉身份（比如扁平编辑插画、90 年代杂志拼贴、单一文字海报）并把 Together AI 约束在那个语法里。别再用默认的「a hero image of X」prompt。\n- **STORM 输出直接发**。STORM 出的是结构化、有引用、内容扎实的草稿。但它的口吻是**百科腔**：平衡、留有余地、中立。Newsletter 读者订的是你的犀利观点，不是 Wikipedia。STORM 用来压缩研究，发送前用你自己的语气**重写**全篇。",[112,115,118,121,124],{"q":113,"a":114},"AI 写 Newsletter 读者会发现吗？","如果你把 agent 一稿原封不动发出去 —— 两期内一定被发现。破绽分结构性（每段长度一样、每期形状一样）和语汇性（「deep dive」「在本期」、用中立平衡代替观点）两层。解法不是藏 AI，而是**让 AI 做读者不在乎的部分**（研究压缩、outline、一稿骨架），**你写读者真正在乎的部分**（开头第一句、犀利观点、最后一句）。Vale 抓语汇破绽，`style.md` 抓结构破绽，重写是你的事。做对了，Newsletter 读起来比同类更扎实，又不像模型输出。",{"q":116,"a":117},"Substack vs Beehiiv —— 订阅者数据到底归谁？","两家都允许你导出名单为 CSV（邮箱 + 订阅时间 + 付费状态）。两家技术上都承认你拥有那段关系。不对称在分发上：Substack 的 Notes 信息流和推荐网络贡献了相当一部分新订阅；Beehiiv 的推荐网络同理；ConvertKit 自然发现最弱。所以你「拥有」名单这件事是真的（你可以带着邮箱地址走），但如果你 40% 的增长来自平台网络，离开就意味着失去那个增长率。规划：从 Day 1 起就问新订阅者「你从哪听说的」，跟踪平台网络份额 vs 你自己渠道份额。当平台份额跌到 25% 以下，迁移不会丢势能。",{"q":119,"a":120},"封面图实际用哪个？","Together AI Image Generation —— 如果你想要一个独立开发者价位的托管 API，不想自己照看 GPU。本地 ComfyUI 或 Automatic1111 —— 如果你已经在跑 Stable Diffusion 且对迭代成本敏感。Midjourney —— 如果你想要开箱即用的美学最好，且不介意工作流是 Discord 形状的。对「每周一封一张封面」这个场景，Together AI 在速度和价格上胜出（独立开发者用量 ~$5\u002F月）。如果 Newsletter 的视觉就是品牌（每期封面都被截图传），就投 Midjourney 或者轮换的真人插画师。",{"q":122,"a":123},"如果我把 Newsletter 投稿到一个 Substack publication，AI 内容算违规吗？","Substack 在 2026 年的立场：允许 AI 辅助；不允许的是「未声明、纯 AI 生成、低投入」的内容。Publication 真正在乎的是编辑判断 —— 是不是一个人挑了选题、构造了论点、对观点负责。你做了研究、编辑过、有自己立场的 AI 辅助稿件没问题。一个 bot 每周二转贴 LLM 输出不行。如果你要投稿的 publication 有明确披露政策就照着做；否则安全默认：AI 用于研究和起草、编辑判断全是你的、署你真名。",{"q":125,"a":126},"多少订阅者以后才能开付费？","没有魔术数字，但按典型转化率（活跃订阅者中 3-7% 付费 $5-10\u002F月）算，付费每月超过 $1K 的现实地板大约是 **3-5K 活跃免费订阅者**。「活跃」指最近 30 天内打开过，不是总注册数。低于这个量，付费是对唯一重要的事（扩免费名单 + 打磨 voice）的分心。高于 5K 活跃订阅时，配一个清晰高级内容主张的付费档（深度专题、存档访问、私密社群）值得开。**不要**把每周一封锁在付费墙后 —— 锁周边附加内容。免费的那封是带新读者进来的入口，砍了它就砍了增长。",{"@context":128,"@type":129,"name":130,"description":131,"numberOfItems":132,"inLanguage":133,"itemListElement":134},"https:\u002F\u002Fschema.org","ItemList","Newsletter 作者全栈","十件 AI 资产，专为 Substack \u002F Beehiiv \u002F ConvertKit \u002F Ghost 作者准备：选题管道、深度研究、起草、文笔 lint、封面图、发送平台（且让名单归自己）。",10,"zh-CN",[135,139,143,147,151,155,159,163,166,170],{"@type":136,"position":137,"name":20,"url":138},"ListItem",1,"https:\u002F\u002Ftokrepo.com\u002Fzh\u002Fworkflows\u002Fclaude-code-agent-content-marketer-721d23c5",{"@type":136,"position":140,"name":141,"url":142},2,"STORM — 斯坦福的 AI 研究报告生成器","https:\u002F\u002Ftokrepo.com\u002Fzh\u002Fworkflows\u002Fstorm-ai-research-report-generator-stanford-f09e9348",{"@type":136,"position":144,"name":145,"url":146},3,"Jina Reader — AI 友好的网页内容抽取","https:\u002F\u002Ftokrepo.com\u002Fzh\u002Fworkflows\u002Fjina-reader-ai-friendly-web-content-extraction-9c6cbf5f",{"@type":136,"position":148,"name":149,"url":150},4,"Folo — AI 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