Recruiting Is Marketing

Q: What does the Recruiting Is Marketing AI skill do?

用于重构招聘思维和建立主动招聘体系。当用户在抱怨"找不到人才"、"招聘太被动"时激活。 不适用于：猎头服务采购讨论、具体猎头合同条款、短期临时工招聘。 关键 trigger：提到人才稀缺、招聘渠道不足、候选人质量不高、雇主品牌。

Community

ace3000chao

recruiting-is-marketing

用于重构招聘思维和建立主动招聘体系。当用户在抱怨"找不到人才"、"招聘太被动"时激活。不适用于：猎头服务采购讨论、具体猎头合同条款、短期临时工招聘。关键 trigger：提到人才稀缺、招聘渠道不足、候选人质量不高、雇主品牌。

Overview

Publisher	ace3000chao
Repository	`book2startup`
Skill name	`recruiting-is-marketing`
Stars	93
Forks	14
Bundled files	1
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by ace3000chao on GitHub. Read the source before you install it.

Installation

Install the Recruiting Is Marketing AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/ace3000chao/book2startup/tree/master/ScalingUp-skills/recruiting-is-marketing
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/ace3000chao/book2startup/tree/master/ScalingUp-skills/recruiting-is-marketing

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/ace3000chao/book2startup.git /tmp/book2startup
mkdir -p .claude/skills
cp -r /tmp/book2startup/ScalingUp-skills/recruiting-is-marketing .claude/skills/recruiting-is-marketing

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Recruiting Is Marketing in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Recruiting Is Marketing on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Recruiting Is Marketing is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Recruiting Is Marketing

R — 原文 (Reading)

"The marketing team must be as actively involved in recruiting a steady stream of potential employees as it is in attracting potential customers."

— Verne Harnish, Scaling Up, 第4章

I — 方法论骨架 (Interpretation)

Scaling Up 打破了一个根深蒂固的误解：招聘是HR的被动工作。正确的认知是：招聘是营销职能的延伸——你需要像推广产品一样推广你的雇主品牌，像管理销售渠道一样管理人才管道。

具体而言，招聘应该做到20:1的申请者-职位比例，才能确保有足够高质量的候选人可供筛选。如果你的招聘渠道只能收到5:1的比例，说明你的雇主品牌或职位呈现方式有系统性问题。

核心转变：从"等简历"到"造流量"。像营销漏斗一样管理招聘漏斗——内容吸引 → 管道培育 → 筛选转化。

A1 — 书中的应用 (Past Application)

案例 1: HubSpot的招聘营销化

问题: 早期HubSpot发现优质工程师候选人严重不足，被动等待简历质量低下。
方法论的使用: 将营销团队重组，同时负责雇主品牌内容输出（技术博客、工程师文化视频、开发者社区运营），将候选人管道从5:1提升到30:1。
结论: 内容营销同样适用于人才招聘。
结果: 半年内 hired A 类工程师比例从30%提升到65%。

案例 2: 某连锁餐饮的人才管道重构

问题: 店长招聘依赖58同城等传统渠道，来的人文化契合度低，三个月离职率超50%。
方法论的使用: 创始团队开始在抖音、小红书发布"一天店长体验"视频，举办线下开放日，将申请者来源从被动等简历变为主动种草。
结论: 餐饮业的雇主品牌建设同样可以通过内容实现。
结果: 申请者数量增加4倍，三个月店长留存率提升到78%。

A2 — 触发场景 (Future Trigger) ★

用户会在什么情境下需要这个 skill?

抱怨"人才难找"时：用户说"我们找了好几个月都没有合适的"，说明招聘漏斗顶部出了问题。
扩张期需要大量招聘时：如新开门店、新上项目需要快速补人，现有渠道效率不足。
雇主品牌讨论时：在思考如何让候选人主动找上门而非靠猎头。
招聘预算分配时：在讨论猎头费用 vs 内部招聘渠道投入的优先级。
关键岗位长期空缺时：如CTO、销售总监等关键岗位空缺超过60天。

语言信号 (用户的话里出现这些就应激活)

"找不到合适的人……"
"候选人质量……"
"招聘渠道……"
"雇主品牌……"
"主动投递的太少"

与相邻 skill 的区分

与 Hire Fewer, Higher Pay 的区别：少人高薪解决的是"招多少、付多少"，这个解决的是"从哪里找到人才"。
与 Topgrading 的区别：Topgrading是面试方法，这个是招聘的战略定位——谁来负责招聘、招聘的渠道和流程怎么设计。

E — 可执行步骤 (Execution)

当 skill 被激活后，agent 应按以下步骤执行:

审计当前招聘漏斗效率
- 统计过去6个月的申请者-职位比例（申请人数 ÷ 开放职位数）
- 完成标准：得到一个明确的比例数字（<10:1 说明管道严重不足，>20:1 是健康目标）
识别招聘漏斗的阻断点
- 漏斗诊断：候选人从哪里知道我们？→ 他们为什么想申请？→ 是什么让他们没有提交申请？
- 判停条件：若用户已有明确的阻断假设（如"我们的JD写得太差了"），直接进入步骤3
设计主动招聘的渠道组合
- 内容层：1-2个能长期输出雇主品牌内容的渠道（如技术博客、小红书、公众号）
- 管道层：3-5个主动 sourcing 渠道（如linkedin定向搜索、行业社群、内部推荐奖励）
- 完成标准：产出一份包含渠道、时间投入和预期产出的招聘营销计划

B — 边界 (Boundary) ★

不要在以下情况使用此 skill

高度专业化的小众领域：如某些冷门研究方向，全球可能只有几十个合格候选人，营销漏斗逻辑不适用。
初创期现金极度紧张时：内容营销和雇主品牌建设需要6-12个月才能见效，极缺现金时优先用猎头和内部推荐。
只需要短期临时工时：季节性用工、一次性项目不需要建立持续的人才管道。

作者在书中警告的失败模式

把招聘完全外包给HR，自己不参与雇主品牌建设，等于放弃了最有力的人才吸引工具。

作者的盲点 / 时代局限

对中小企业在没有专职营销团队的情况下如何执行招聘营销缺乏具体指导。

容易混淆的邻近方法论

Hire for Culture Fit（为文化契合度招聘）：文化契合度解决的是"选人标准"，招聘营销解决的是"如何找到更多符合标准的人"——标准在前，渠道在后。

审计信息

验证通过: V1 ✓ / V2 ✓ / V3 ✓
测试通过率: 待填充
蒸馏时间: 2026-04-26

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

test-prompts.json3 KB

Frequently asked questions

What does the Recruiting Is Marketing AI skill do?

Why use Recruiting Is Marketing on TypingMind?

Because you install it once and use it with any model. Recruiting Is Marketing is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Recruiting Is Marketing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ace3000chao/book2startup/tree/master/ScalingUp-skills/recruiting-is-marketing. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Recruiting Is Marketing?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Recruiting Is Marketing?

As many as you like. As long as a model supports skills, you can use Recruiting Is Marketing with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Recruiting Is Marketing AI skill free?

Yes. It is published on GitHub by ace3000chao under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview