Hourly Rate Time

Q: What does the Hourly Rate Time AI skill do?

当用户纠结时间分配、问「这个琐事/外包值不值」「怎么安排时间」「离财务自由还差什么」时调用。 核心理念: 给时间定一个高得离谱的时薪, 低于时薪的事外包或不做; 退休=不为想象中的明天牺牲今天; 不随收入升级生活方式。 不适用于: 需要享受慢节奏的时刻（休息/家庭时间按定义不是浪费）。 Triggers: 时薪/时间管理/外包/琐事/排队/财务自由/退休/hourly rate/delegate

CommunityPopular

kangarooking

hourly-rate-time

当用户纠结时间分配、问「这个琐事/外包值不值」「怎么安排时间」「离财务自由还差什么」时调用。核心理念: 给时间定一个高得离谱的时薪, 低于时薪的事外包或不做; 退休=不为想象中的明天牺牲今天; 不随收入升级生活方式。不适用于: 需要享受慢节奏的时刻（休息/家庭时间按定义不是浪费）。 Triggers: 时薪/时间管理/外包/琐事/排队/财务自由/退休/hourly rate/delegate

Overview

Publisher	kangarooking
Repository	`cangjie-skill`
Skill name	`hourly-rate-time`
Stars	10.2K
Forks	1.2K
Bundled files	2
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.
2 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 Hourly Rate Time 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.
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/kangarooking/cangjie-skill/tree/main/benchmarks/naval/prototypes/compact-pack/hourly-rate-time

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/kangarooking/cangjie-skill.git /tmp/cangjie-skill
mkdir -p .claude/skills
cp -r /tmp/cangjie-skill/benchmarks/naval/prototypes/compact-pack/hourly-rate-time .claude/skills/hourly-rate-time

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

Use it in TypingMind

Enable Hourly Rate Time 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 Hourly Rate Time 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 Hourly Rate Time 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.

时薪与时间资产

R — 原文 (Reading)

为自己设定一个非常高的时薪期望值，并坚持下去。它应该看起来和感觉上都是高得离谱的。……退休就是不用再为想象中的明天而牺牲今天。当今天完成了，本身就完成了，你就退休了。

— 纳瓦尔·拉维坎特, 《纳瓦尔宝典》第一章·财富

I — 方法论骨架 (Interpretation)

把「时间」当作人生唯一不可再生的资产来定价： ① 设定个人时薪——高得离谱（作者没钱时也按 5000 美元/小时），它是自我价值声明； ② 用时薪做过滤——低于时薪的琐事外包或不做，高于时薪的事亲自做，每个决定都换算时间成本； ③ 时间即自由——「你永远不会比你设想的价值更高」，珍惜时间不是不能放松，而是不做不想做的事； ④ 退休重新定义——不为想象中的明天牺牲今天，途径有三：被动收入覆盖支出 / 支出归零 / 做热爱之事； ⑤ 不升级生活方式——收入涨消费不涨，被动收入很快覆盖支出，提前自由。

A1 — 书中的应用 (Past Application)

案例 1: 没钱时的 5000 美元时薪

问题: 年轻没钱时如何对待自己的时间
方法论的使用: 自定 5000 美元/小时；雇助理、扔坏音箱不修、外包做饭
结论: 低于时薪的琐事一律外包或放弃
结果: 作者自评实际回报已超过该时薪；「讽刺的是，我认为我实际上已经打败它了」

案例 2: 浪费时间即离场

问题: 聚会/活动浪费大量时间
方法论的使用: 发现浪费时间立刻离开（作者以粗鲁著称）
结论: 「珍惜你的时间。它是你的全部。它比你的金钱更重要。」
结果: 保留时间给想做的事/赚钱/学习

A2 — 触发场景 (Future Trigger) ★

用户会在什么情境下需要这个 skill?

纠结琐事：「这 2 小时排队省 50 元值吗」「要不要自己修/自己跑」
时间失控：「每天都很忙但没产出」
外包决策：「要不要请人/雇助理」
财务自由规划：「我离退休/自由还差什么」

语言信号

"怎么分配我的时间"
"这钱该花吗（买时间）"
"我该不该外包/请人"
"how to value my time / delegate / retire early"

与相邻 skill 的区分

与 wealth-structure 的区别: 时薪解决「怎么用时间」，财富结构解决「怎么建资产」
与 decision-heuristics 的区别: 时薪是量化判据，决策启发式是结构判据

E — 可执行步骤 (Execution)

设定个人时薪
- 完成标准: 写下你的时薪数字，确认它「高得离谱、看起来荒谬」；否则上调
- 判停条件: 若用户感到舒服/合理，说明定低了，上调到荒谬
扫描本周时间账
- 完成标准: 列出本周所有活动，标注每项的机会成本（时薪×小时）
外包/删除低于时薪的活动
- 完成标准: 至少处理 3 项（外包、删除、或改变方式）
检查生活方式通胀
- 完成标准: 确认收入上涨时消费没有同步上涨（储蓄率是否提升）
重算自由进度
- 完成标准: 计算被动收入/支出比值，写下距离「不为明天牺牲今天」的差距

B — 边界 (Boundary) ★

不要在以下情况使用此 skill

休息、陪伴家人、无目的放松（作者明确「只要在做想做的事，就不是浪费」）
用户现金流紧张时，外包建议需现实化（先算预算再外包）

作者在书中警告的失败模式

赚到钱就升级生活方式: 「如果你可以保持生活方式不变……你可能走得更远，实际上也已经财务自由了」
用忙碌掩盖低价值: 「你应该忙得没时间去'煮咖啡'，同时又要保持日程安排有序」

作者的盲点 / 时代局限

高时薪外包建立在可支配现金流上；对低收入者是奢侈建议
「忙到没时间煮咖啡」的强度适合创业者，不适合所有生活阶段

容易混淆的邻近方法论

decision-heuristics: 时薪是量化判据之一，不是唯一决策逻辑

审计信息

验证通过: V1 ✓ / V2 ✓ / V3 ✓ (v04)
测试通过率: 见 test-results.md
蒸馏时间: 2026-08-01

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
test-results.md1 KB

Frequently asked questions

What does the Hourly Rate Time AI skill do?

Why use Hourly Rate Time on TypingMind?

Because you install it once and use it with any model. Hourly Rate Time 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 Hourly Rate Time in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kangarooking/cangjie-skill/tree/main/benchmarks/naval/prototypes/compact-pack/hourly-rate-time. 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 Hourly Rate Time?

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 Hourly Rate Time?

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

Is the Hourly Rate Time 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.

View all

Ctf Sandbox

zhaoxuya520

CommunityPopular

Thin PRIMARY for CTF / AWD / 靶场 multi-type orchestration. Hands off to the sidecar CTF-Sandbox-Orchestrator. Use when the user says CTF, AWD, 靶场, or 比赛题 and no more specific pwn/APK/IDA route already…

Munger Perspective

查理·芒格的思维框架与表达方式。基于《穷查理宝典》、伯克希尔/Daily Journal股东会、 USC/哈佛演讲、访谈记录、外部批评等50+来源的深度调研，提炼5个核心心智模型、8条决策启发式和完整的表达DNA。用途：作为思维顾问，用芒格的视角分析问题、审视决策、提供反馈。当用户提到「用芒格的视角」「芒格会怎么看」「芒格模式」「munger perspective」时使用。…

Steve Jobs Perspective

alchaincyf

CommunityPopular

史蒂夫·乔布斯(Steve Jobs)的思维框架与表达方式。基于Isaacson授权传记、Stanford演讲、 Lost Interview、D Conference系列、Make Something Wonderful、30+一手来源的深度调研，提炼6个核心心智模型、8条决策启发式和完整的表达DNA。用途：作为思维顾问，用乔布斯的视角分析产品、审视决策、提供反馈。…

To Questionnaire

Turn a decision you can't fully answer into a questionnaire for someone else to fill in.

Hourly Rate Time

Overview