# We open sourced our ENTIRE AI marketing playbook (2.1K stars)
**作者**: ericosiu
**日期**: 2026-04-23T22:33:24.000Z
**来源**: [https://x.com/ericosiu/status/2047443749182034112](https://x.com/ericosiu/status/2047443749182034112)
---
Most agencies would charge $50K to build a single one of these skills. We just dropped 6 more of them into the repo for free.
17 skill categories, 32K lines of production code, 2.1K stars and growing. All MIT licensed and battle-tested on real revenue.
Here's what's new and why we keep giving it all away.
Most "open-source AI marketing tools" are demo projects. Somebody wrote a prompt, wrapped it in a Python script, pushed it to GitHub, and called it a product.
We're doing the opposite. We run these skills every day on actual client work. When something survives 3 months of production use without breaking, we sanitize it and push it public.
The repo started with 11 categories back in March. Sales pipeline automation. SEO ops. Growth engine. Finance ops. The core revenue stack.
This week we added 6 more. These are the ones people keep DMing us about.
The new skills:
## 1. Long-Form Video Clip Pipeline
You have a 60-minute podcast episode. You want 3-5 standalone clips that work on their own. This does the full loop: download, transcribe with Whisper, segment with Claude (hook scoring, layout detection), cut with FFmpeg, and output upload-ready files.
The segmentation is the interesting part. Claude scores each potential clip on hook strength, standalone watchability, and information density. It detects four video layouts (talking head, screen share, side-by-side, gallery) and adjusts the crop strategy for each one.
Processing time: 15 minutes per 60-minute episode. Cost: under $1 in API calls.
```
## 2. Short-Form Pipeline
The companion to the clip pipeline. Takes those clips (or any landscape video) and converts them to 1080x1920 vertical format with face-detected smart cropping and TikTok-style burned-in captions.
It handles four different source layouts differently. Talking head gets face-tracked center crop. Screen share stacks the content on top with the webcam bubble below. Side-by-side gets vertical stacking. Gallery view crops to the active speaker.
The caption system generates ASS subtitle files with word-level highlighting. The kind of captions that actually look native on TikTok, not the generic white-text-on-black you get from most tools.
## 3. Clone Site
Point it at any URL. Get a pixel-perfect Next.js replica.
It reverse-engineers design tokens, pulls assets, maps interactions, handles responsive breakpoints, and rebuilds the whole thing with parallel builder agents. Each agent handles a different page section simultaneously.
Useful for competitive analysis, rapid prototyping, or rebuilding legacy sites. Not a scraper. An actual architectural reconstruction.
## 4. Content Eval
A simulated 7-expert panel that scores content ideas before you waste time producing them. Each expert persona evaluates from a different angle: brand strategy, SEO, audience growth, conversion, competitive positioning, voice consistency, and platform fit.
Nothing ships below a 90/100 score. The panel includes competitor benchmarking, so you're not just scoring against your own standards. You're scoring against what's already winning in your space.
## 5. Lead Dossier
Multi-source account research. Give it a company name, it pulls from website scraping, BuiltWith tech stack detection, hiring signals, news monitoring, and CRM data. Outputs a research brief with buying signals scored and ranked.
Includes a cascade enrichment pipeline that waterfalls through email verification providers. If provider A can't verify, it tries B, then C. First one to confirm wins. Dry-run mode lets you preview before spending credits.
## 6. Video Caption Generator
Watches a Google Drive folder for new video files. Transcribes with Whisper. Generates social captions and titles using Claude. Deduplicates by content hash so A/B test variants don't produce duplicate captions.
Simple utility. Saves about 20 minutes per video if you're doing this manually.
What's already in the repo:
These 6 join 11 existing categories that have been in production since early 2026:
```
The growth engine alone has saved us from running dozens of failed experiments. It uses bootstrap confidence intervals and Mann-Whitney U tests. Real statistics, not "this post got more likes so it won."
The deal resurrector in sales pipeline has three intelligence layers, including tracking departed champions to their new companies. When your buyer leaves for a new role, the agent finds them and re-engages at the new company.
The outbound engine has been battle-tested across 6,000+ leads. ICP scoring, sequence generation, send optimization, competitive monitoring. The full loop.
Why we keep giving this away:
Simple math. Open-sourcing production tools builds more pipeline than any ad campaign we've run.
The Dorsey article we published got 353K views and generated qualified inbound for weeks. The repo does the same thing on a longer timeline. Someone stars the repo, tries a skill, realizes they need help running it at scale, and calls us.
```
Every skill in the repo has a "want these built and managed for you?" link at the bottom. That link converts.
The 100x marketer doesn't hoard tools. They give away the playbook and sell the execution. Most companies can't run 17 skill categories across 50 daily crons with proper monitoring. That's the moat. Not the code.
What's coming next:
We still have empty directories in the repo for autoresearch (Karpathy-inspired variant evolution), the humanizer (24-pattern AI slop detector), and YouTube competitive analysis. Those are next.
After that, we're packaging the cross-signal detector. It correlates data across Gong calls, HubSpot deal stages, and content engagement to surface opportunities no single tool can see. That's the one that took the longest to build and the one we're most nervous about open-sourcing.
The whole repo is MIT licensed. Clone it, fork it, sell it. We don't care.
github.com/ericosiu/ai-marketing-skills
17 categories. 115 files. 32K lines. All production code.
Star it if you find it useful. And if you try running these and hit a wall, that's what we do for a living.
If you're a business interested in having AI systems built, you can go to https://www.singlebrain.com or for marketing help, just go to https://www.singlegrain.com
For more like this, level up your marketing with 14,000+ marketers and founders in my Leveling Up newsletter here for free: https://levelingup.beehiiv.com/subscribe
If you want to join up with our team, 'beat AI' first ;)
## 相关链接
- [ericosiu](https://x.com/ericosiu)
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- [github.com/ericosiu/ai-marketing-skills](https://github.com/ericosiu/ai-marketing-skills)
- [https://www.singlebrain.com](https://www.singlebrain.com/)
- [https://www.singlegrain.com](https://www.singlegrain.com/)
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- [6:33 AM · Apr 24, 2026](https://x.com/ericosiu/status/2047443749182034112)
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---
*导出时间: 2026/4/24 17:28:35*
---
## 中文翻译
# 我们开源了完整的 AI 营销手册（2.1K 星）
**作者**: ericosiu
**日期**: 2026-04-23T22:33:24.000Z
**来源**: [https://x.com/ericosiu/status/2047443749182034112](https://x.com/ericosiu/status/2047443749182034112)
---
大多数代理公司构建其中一个技能就要收费 5 万美元。我们刚刚又往仓库里免费添加了 6 个。
17 个技能类别，3.2 万行生产代码，2.1K 星且还在增长。全部采用 MIT 许可证，并经过真实收入的实战检验。
以下是新增内容，以及我们为什么不断把这些东西全部送出去。
大多数“开源 AI 营销工具”都是演示项目。某人写了一个提示词，用 Python 脚本包装一下，推到 GitHub 上，就称之为产品。
我们反其道而行。我们每天都在实际的客户工作中使用这些技能。当某个东西在生产环境中稳定运行 3 个月没有出问题时，我们就把它脱敏后公开发布。
这个仓库 3 月份创建时有 11 个类别。销售管道自动化。SEO 运营。增长引擎。财务运营。核心收入技术栈。
本周我们新增了 6 个。这些就是大家一直私信问我们的那些。
新技能：
## 1. 长视频切片管道
你有一个 60 分钟的播客节目。你想要 3-5 个可以独立成立的切片。这个工具完成整个流程：下载、用 Whisper 转录、用 Claude 分段（开场吸引力评分、布局检测）、用 FFmpeg 剪辑，并输出可直接上传的文件。
分段是最有意思的部分。Claude 对每个潜在切片按开场吸引力、独立可看性和信息密度进行评分。它检测四种视频布局（单人讲解、屏幕共享、并排画面、多宫格），并为每种布局调整裁剪策略。
处理时间：每个 60 分钟的节目需要 15 分钟。成本：API 调用不到 1 美元。
```
## 2. 短视频管道
切片管道的配套工具。接收这些切片（或任何横屏视频），将其转换为 1080x1920 竖屏格式，带有人脸检测智能裁剪和 TikTok 风格的内置字幕。
它针对四种不同的源布局采用不同处理方式。单人讲解使用人脸跟踪居中裁剪。屏幕共享将内容置顶、摄像头气泡置于下方。并排画面采用垂直堆叠。多宫格视图裁剪到当前发言者。
字幕系统会生成带词级高亮的 ASS 字幕文件。这种字幕在 TikTok 上看起来很原生，而不是大多数工具生成的黑白通用的白字黑底样式。
## 3. 克隆网站
指向任何 URL。获得一个像素级还原的 Next.js 复刻版。
它会逆向工程设计令牌（design tokens）、拉取资源、映射交互、处理响应式断点，并用并行的构建 agent 重建整个网站。每个 agent 同时处理不同的页面部分。
适用于竞品分析、快速原型制作或重建老旧网站。它不是爬虫，而是真正的架构级重建。
## 4. 内容评估
一个模拟的 7 人专家小组，在你浪费时间制作内容之前对创意进行评分。每位专家人设从不同角度评估：品牌策略、SEO、受众增长、转化、竞争定位、语气一致性和平台契合度。
低于 90/100 分的内容不会发布。专家组包括竞品基准对比，所以你不只是按照自己的标准评分，而是与在你的领域已经获胜的内容进行对比评分。
## 5. 潜在客户档案
多来源的客户研究。给它一个公司名称，它会从网站抓取、BuiltWith 技术栈检测、招聘信号、新闻监控和 CRM 数据中提取信息。输出一份研究报告，其中购买信号经过评分和排序。
包含一个级联式富化管道，会依次通过多个邮箱验证服务商。如果服务商 A 无法验证，就尝试 B，再尝试 C。第一个确认的获胜。试运行模式让你在花费额度之前预览效果。
## 6. 视频文案生成器
监控 Google Drive 文件夹中的新视频文件。用 Whisper 转录。用 Claude 生成社交媒体文案和标题。通过内容哈希去重，避免 A/B 测试变体产生重复文案。
简单的实用工具。如果你在手动做这件事，每个视频可以节省大约 20 分钟。
仓库中已有的内容：
这 6 个新技能加入自 2026 年初以来一直投入生产的 11 个现有类别：
```
光是增长引擎就让我们避免了几十个失败实验。它使用 bootstrap 置信区间和 Mann-Whitney U 检验。真正的统计学，而不是“这条帖子点赞更多所以它赢了”。
销售管道中的交易复苏器有三层情报，包括追踪离职的关键推动者到他们的新公司。当你的买家跳槽到新职位时，agent 会找到他们并在新公司重新建立联系。
外呼引擎已经过 6000 多个潜在客户的实战检验。ICP 评分、序列生成、发送优化、竞品监控。完整的闭环。
我们为什么坚持把这些送出去：
简单的算术。开源生产工具带来的商机，比我们做过的任何广告活动都多。
我们发布的那篇 Dorsey 文章获得了 35.3 万次浏览，并连续几周带来高质量的主动咨询。这个仓库在更长的时间线上做着同样的事情。有人给仓库加星，试用一个技能，意识到他们需要帮助才能大规模运行，然后就来找我们了。
```
仓库中的每个技能底部都有一个“想让我们为你构建和管理这些吗？”的链接。这个链接转化率很高。
100 倍效率的营销人不会囤积工具。他们送出操作手册，出售执行服务。大多数公司无法在 50 个每日定时任务中妥善运行并监控 17 个技能类别。这才是护城河。而不是代码。
接下来会有什么：
我们仓库中还有一些空目录，用于 autoresearch（受 Karpathy 启发的变体进化）、humanizer（24 种模式的 AI 垃圾内容检测器）和 YouTube 竞品分析。这些是下一步。
在那之后，我们打包了跨信号检测器。它可以关联 Gong 通话、HubSpot 交易阶段和内容互动的数据，揭示任何单一工具都无法发现的商机。这是构建耗时最长的一个，也是我们开源时最紧张的一个。
整个仓库采用 MIT 许可证。克隆它、fork 它、拿去卖钱，我们都不在乎。
github.com/ericosiu/ai-marketing-skills
17 个类别。115 个文件。3.2 万行代码。全部是生产级代码。
如果觉得有用就点个 Star。如果你尝试运行这些工具时碰壁了，那正是我们的谋生之道。
如果你是一家希望构建 AI 系统的企业，可以访问 https://www.singlebrain.com；如果需要营销方面的帮助，请访问 https://www.singlegrain.com
想看更多类似内容，欢迎免费加入我的 Leveling Up 时事通讯，与 14,000 多名营销人员和创始人一起提升营销水平：https://levelingup.beehiiv.com/subscribe
如果你想加入我们的团队，先"击败 AI"再说 ;)
## 相关链接
- [ericosiu](https://x.com/ericosiu)
- [@ericosiu](https://x.com/ericosiu)
- [3.5K](https://x.com/ericosiu/status/2047443749182034112/analytics)
- [$50K](https://x.com/search?q=%2450K&src=cashtag_click)
- [github.com/ericosiu/ai-marketing-skills](https://github.com/ericosiu/ai-marketing-skills)
- [https://www.singlebrain.com](https://www.singlebrain.com/)
- [https://www.singlegrain.com](https://www.singlegrain.com/)
- [https://levelingup.beehiiv.com/subscribe](https://levelingup.beehiiv.com/subscribe)
- [先"击败 AI"]{.link-text}(https://www.singlegrain.com/apply)
- [升级到 Premium](https://x.com/i/premium_sign_up)
- [2026年4月24日 上午6:33](https://x.com/ericosiu/status/2047443749182034112)
- [3,580 次浏览](https://x.com/ericosiu/status/2047443749182034112/analytics)
---
*导出时间： 2026/4/24 17:28:35*
