Justified Consumption

Community

kangarooking

justified-consumption

当用户在撰写文案时需要消除读者"花钱的负罪感"，或产品本身属于"享受型/非刚需"品类时调用此 skill。核心任务是将购买理由重新归类到四大正当消费类别之一（上进、送礼、健康、孩子），让读者觉得"这笔钱花得对"。不适用于功能性刚需产品（如冰箱、洗衣机），也不适用于 B2B 场景。关键触发信号：用户提到"客单价高""客户犹豫""觉得贵""不好意思买""享受型产品"等。

Overview

Publisher	kangarooking
Repository	`viral-copywriting-skill`
Skill name	`justified-consumption`
Stars	80
Forks	12
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 kangarooking on GitHub. Read the source before you install it.

Installation

Install the Justified Consumption 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/kangarooking/viral-copywriting-skill/tree/main/justified-consumption
Enable the skill in any chat where you want it available.

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/kangarooking/viral-copywriting-skill.git /tmp/viral-copywriting-skill
mkdir -p .claude/skills
cp -r /tmp/viral-copywriting-skill/justified-consumption .claude/skills/justified-consumption

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

Use it in TypingMind

Enable Justified Consumption 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 Justified Consumption 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 Justified Consumption 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.

正当消费重构法

R — 原文 (Reading)

很多时候读者想买，但是理智告诉他"太贵了""没必要"，他纠结，想买又不好意思买。这时，文案要把他的购买理由"正当化"，归纳到上进、送礼、健康、孩子这四类里，他就觉得"这笔钱花得对"，甚至"不花才傻"。

— 关健明, 第三章 3.3

I — 方法论骨架 (Interpretation)

核心洞察：消费者很多时候不是"不想买"，而是"不好意思买"——花钱有负罪感。
解决思路：把购买理由重新归类到社会公认的"正当消费"类别中，让消费者理直气壮地下单。
四大正当类别：
- 上进：为了学习、成长、提升自己而花钱，社会高度认可。
- 送礼：为了表达感恩、维护关系而花钱，天经地义。
- 健康：为了增强体质、保护身体而花钱，谁都会支持。
- 孩子：为了孩子健康成长而花钱，父母最愿意的支出。
操作方法：审视产品特性，找到它与这四类理由的连接点，在文案中明确点出这个正当理由。
关键转换：把"我花了一笔钱"的叙事，改成"我做了正确的事"。

A1 — 书中的应用 (Past Application)

案例 1: 电动车——"张叔叔送孙女安全"

问题: 电动车是高价产品，消费者容易犹豫"要不要花这个钱"。
方法论的使用: 将购买理由归类到"孩子"类别——张叔叔买电动车是为了接送孙女，孙女的安全是最正当的理由。
结论: "为了孙女的安全，这钱花得值"——购买从"消费"变成"责任"。
结果: 读者（特别是祖父母/父母群体）对价格不再敏感，因为"孩子的安全"是无可辩驳的正当理由。

案例 2: 护眼台灯——"4380个夜晚保护眼睛"

问题: 护眼台灯比普通台灯贵很多，消费者觉得"一个灯而已，有必要这么贵吗"。
方法论的使用: 将购买理由归类到"健康"类别——4380个夜晚（约12年）都在保护眼睛健康。
结论: 把"买灯"的叙事转换成"投资12年眼健康"。
结果: 价格被分散到每天微不足道，而"保护眼睛"是人人认可的正当理由。

案例 3: 护颈枕——"投资你的事业"

问题: 高端护颈枕价格不菲，消费者觉得"一个枕头而已"。
方法论的使用: 将购买理由归类到"上进"类别——好睡眠=好精力=好事业，买枕头就是投资事业。
结论: 把"享受型消费"重新定义为"事业投资"。
结果: 购买从"奢侈"变成"上进"，职场人群尤其受用。

案例 4: 鲜奶面包——"让孩子多吃几口"

问题: 精品面包比普通面包贵，家庭主妇可能觉得"不划算"。
方法论的使用: 将购买理由归类到"孩子"类别——好吃到让孩子多吃几口，孩子正在长身体，多吃一口是一口。
结论: "贵一点的面包"变成"让孩子多摄入营养的机会"。
结果: 母亲的负罪感消失，因为"为孩子"是最强大的正当理由。

A2 — 触发场景 (Future Trigger) ★

用户会在什么情境下需要这个 skill?

推广中高端产品时，目标用户对价格犹豫不决。
产品属于"享受型"或"提升型"（非刚需），消费者有"舍不得"心理。
文案测试显示转化率低，用户反馈"太贵了""不需要"。
需要为促销活动设计核心卖点，让消费者觉得"不买才亏"。

语言信号

"客户说太贵了，怎么回应"
"这个产品不是刚需，怎么说服用户"
"怎么消除花钱的负罪感"
"享受型产品怎么写文案"
"客户犹豫不下单怎么办"

与相邻 skill 的区分

与 news-editorial-title 的区别: 那个是写标题用的，侧重吸引注意力；本 skill 侧重在激发购买欲阶段消除心理障碍。
与 friend-chat-title 的区别: 那个是标题技巧，本 skill 是购买理由重构的深层策略。
与引导马上下单类 skill 的区别: 那些侧重临门一脚促转化，本 skill 侧重"让消费者觉得应该买"。

E — 可执行步骤 (Execution)

审视产品，列出所有可能的购买理由
- 完成标准: 写出至少5条用户可能购买此产品的理由，不评判好坏。
将购买理由映射到四大正当类别
- 完成标准: 每条理由标注它属于"上进/送礼/健康/孩子"中的哪一类，找出最自然、最有说服力的映射。
选择最强的一条正当理由，围绕它构建文案核心叙事
- 完成标准: 用一句话说清楚"买这个产品=做了什么正当的事"。
在文案中用具体场景呈现正当理由
- 完成标准: 写出一个可感知的具体场景（如"4380个夜晚""张叔叔接孙女"），让读者代入。
检验负罪感是否消除
- 完成标准: 读完全文后，问自己"读者会觉得花这笔钱有负罪感吗？"如果还有，回到步骤3重新选择理由。

B — 边界 (Boundary) ★

不要在以下情况使用此 skill

产品本身是刚需功能性产品（如冰箱、纸巾），消费者本就没有负罪感，无需正当化。
B2B 采购场景，决策逻辑是 ROI 而非情感正当化。
产品价格极低（如9.9元包邮），消费者不需要为自己的购买找理由。
文案目标是品牌形象建设而非促转化时，正当化策略可能显得功利。

作者在书中警告的失败模式

生搬硬套：产品和正当理由之间缺乏自然联系，读者觉得"牵强"反而产生反感。
只喊口号：只说"为了健康"但没有具体场景支撑，沦为空话。
忽略产品特性：不同产品适合不同的正当类别，不能所有产品都说"为了孩子"。

作者的盲点 / 时代局限

2017年的四大类别（上进/送礼/健康/孩子）可能不完全覆盖当代消费心理，如"悦己消费""环保消费""社交货币"等新型正当理由未被纳入。
年轻消费者（Z世代）的"自我犒劳"心理可能也是正当理由之一，但书中未提及。
在社交媒体时代，"分享/晒单"本身也是一种正当理由（社交货币）。

审计信息

验证通过: V1 ✓ / V2 ✓ / V3 ✓
测试通过率: 待测
蒸馏时间: 2026-05-02

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.json2 KB

Frequently asked questions

What does the Justified Consumption AI skill do?

Why use Justified Consumption on TypingMind?

Because you install it once and use it with any model. Justified Consumption 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 Justified Consumption in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kangarooking/viral-copywriting-skill/tree/main/justified-consumption. 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 Justified Consumption?

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 Justified Consumption?

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

Is the Justified Consumption AI skill free?

Yes. It is published on GitHub by kangarooking 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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Justified Consumption

Overview