Money Init logo

Money Init

Organization
XBuilderLAB
money-init

cheat-on-money skill 的首次 onboarding。建立用户画像(技能/可投入时间/启动资金/地区/能否露脸/语言)并创建 .money-state.json 状态文件,是所有其他 money- 子 skill 的前置。触发词:"搞钱初始化"/"我想搞钱"/"找AI兼职"/"money init"/"搞钱 setup"。**当用户想找搞钱机会但 .money-state.json 不存在时,先路由到此。**

Overview

PublisherXBuilderLAB
Repositorycheat-on-money
Skill namemoney-init
Stars
770
Forks
83
Bundled files
Instructions only
Links
  • 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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by XBuilderLAB on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/XBuilderLAB/cheat-on-money/tree/main/skills/money-init
  4. 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.
2

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/XBuilderLAB/cheat-on-money.git /tmp/cheat-on-money
mkdir -p .claude/skills
cp -r /tmp/cheat-on-money/skills/money-init .claude/skills/money-init
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Money Init 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 Money Init 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 Money Init 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.

/money-init — cheat-on-money 首次 onboarding

把用户从"我想搞钱"带到"有了一份清晰画像、可以开始找机会",全程 ≤ 5 分钟。

跨平台说明(一次性,下文不再重复)

下文写的 ../../shared-references/、../../templates/ 是 repo / Claude Code 的路径;Codex 安装下改读当前 skill 目录的 references/、templates/(install-codex.sh 已软链进来)。allowed-tools 是 Claude Code 权限声明,Codex 忽略。

设计哲学(必须先认同)

这套工具的差异点不是"列兼职",是反诈 + 个性化 + 实时验证。所以 init 的目标不是给机会, 而是先把"能用 = 对你能用"的前提建立起来:没有画像,任何机会都是空话。

Overview

[用户首次说"我想搞钱"]
  ↓
[Phase 0: 检测 .money-state.json 是否存在]
  ↓
[Phase 1: 首屏文案 —— 期望管理 + 反诈承诺]
  ↓
[Phase 2: 5 个画像问题(一次问完,允许"不知道")]
  ↓
[Phase 3: 写入 .money-state.json]
  ↓
[Phase 4: 给"下一步说什么"清单]

Phase 0 — 检测状态

bash
test -f .money-state.json && echo EXISTS || echo MISSING
  • 已存在:告诉用户已初始化,问要不要更新画像(更新走 Edit),否则路由到 money-status。
  • 不存在:继续。

Phase 1 — 首屏文案(原样表达这几点)

  • 这工具不会给你"躺赚项目"。真实的钱来自真实客户为你用 AI 做的产出付费。
  • 我会做三件别人不做的事:① 按你的情况匹配,不给通用清单 ② 每个机会实时上网查、过反诈红线 ③ 给你"小成本先验证能不能收到第一笔钱"的路径。
  • 前期通常是"用时间换小钱 + 攒作品 + 攒口碑",不是马上来钱。认同我们再往下。

Phase 2 — 画像 6 问(一次性问完)

  1. 你已有什么技能?(写作/设计/视频/编程/外语/销售/会计/无明显技能…)AI 是提效器,你的底子决定能接什么。
  2. 每周大概能投入几小时?
  3. 启动资金?(强烈建议从 0 成本机会起步——任何"要先交钱"的都会被反诈淘汰)
  4. 所在地区 / 主要语言?(默认中国大陆+中文;会影响平台和是否做出海)
  5. 能不能/愿不愿意露脸出镜?(决定内容类机会的可行范围)
  6. 目标 + 愿不愿意学新东西?(只想补贴小钱 / 想做成副业事业;愿不愿意学编程、做 SEO 这类要持续投入的事)→ 用于判段位。

允许用户答"不确定",记为 null,后续 money-find 会用更宽的范围。

Phase 2.5 — 段位识别(新增,关键)

读 ../../shared-references/user-tiers.md,按"技能 × 资源 × 目标"把用户归到 T0/T1/T2/T3 一档:

  • 有可迁移专业(医疗/法律/财务等)+会用 AI → 倾向 T3
  • 会编程或愿学编程做东西 → T2
  • 会熟练用 AI 工具、有审美/表达 → T1
  • 没明显技能、想补贴小钱 → T0

不确定时就低不就高。判完明确告诉用户判成哪档、为什么,并说"你比我更懂自己,可以改"。把 tier + tier_reason 写进 state。

Phase 3 — 写入状态文件

读 ../../templates/money-state.template.json,填入答案(含 tier/tier_reason),created_at 用今天日期,写到当前工作目录的 .money-state.json。删掉 opportunities 里的示例项。

Phase 4 — 下一步清单

告诉用户现在可以说:

  • "帮我找机会" → 走 money-find(按你的画像实时检索 + 反诈筛选)
  • "看看 XX 这个项目靠不靠谱" → 走 money-verify(直接验证某个具体机会)
  • "我现在的状态" → 走 money-status

Frequently asked questions

What does the Money Init AI skill do?

cheat-on-money skill 的首次 onboarding。建立用户画像(技能/可投入时间/启动资金/地区/能否露脸/语言)并创建 .money-state.json 状态文件,是所有其他 money- 子 skill 的前置。触发词:"搞钱初始化"/"我想搞钱"/"找AI兼职"/"money init"/"搞钱 setup"。**当用户想找搞钱机会但 .money-state.json 不存在时,先路由到此。**

Why use Money Init on TypingMind?

Because you install it once and use it with any model. Money Init 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 Money Init in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/XBuilderLAB/cheat-on-money/tree/main/skills/money-init. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Money Init?

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 Money Init?

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

Is the Money Init AI skill free?

It is published on GitHub by XBuilderLAB. Check the repository for licensing terms. 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

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇