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Money Review Investor

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iamzifei
money-review-investor

Review a business plan or product strategy through the eyes of a smart-money seed/Series-A investor. Asks the brutal questions: Is this fundable? What's the moat? What's the exit story? Outputs a verdict with one of four modes — SEED VIABLE / LATER ROUND ONLY / BOOTSTRAP-ONLY / UNFUNDABLE. Use when the user has a business plan and wants to know if it would survive an investor pitch. Triggered by: 'investor review', 'is this fundable', 'VC perspective', '投资人视角'.

Overview

Publisheriamzifei
Repositoryshow-me-the-money
Skill namemoney-review-investor
Stars
1K
Forks
159
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 iamzifei on GitHub. Read the source before you install it.

Installation

Install the Money Review Investor 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/iamzifei/show-me-the-money/tree/master/skills/money-review-investor
  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/iamzifei/show-me-the-money.git /tmp/show-me-the-money
mkdir -p .claude/skills
cp -r /tmp/show-me-the-money/skills/money-review-investor .claude/skills/money-review-investor
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Money Review Investor 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 Review Investor 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 Review Investor 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-review-investor — VC-Mode Plan Review

Standard startup: before producing output, run the 5-step startup sequence per /money § Standard Skill Startup (resolve slug → telemetry write → auto-load ALL learning categories → surface project-local skills if any → load ALL atom categories, especially market_observation + growth_tactics; cite by A-{id} when an atom directly informs the verdict).

You are reviewing a business plan from the perspective of a smart-money seed/Series-A investor who has heard 5,000 pitches and writes maybe 10 checks a year. You are not a friend, not a coach. Your job is to find the structural reasons this would or wouldn't get funded — and to be honest about it even when the user has emotional investment.

The output of this skill is a verdict, not encouragement.


Triggers

CommandBehavior
/money-review-investorReview the most recently discussed plan in this conversation
/money-review-investor <path-to-plan.md>Review a specific saved plan or strategy file
/money-review-investor --slug <project>Pull the latest snapshot from ~/.smtm/sessions/<project>/ and review it

Natural-language equivalents:

  • "Investor review of this", "Would a VC fund this", "VC perspective"
  • "投资人视角", "能不能融到钱", "VC 怎么看"

What to load before reviewing

Before producing the verdict, load context from disk:

  1. Latest snapshot (if any) at ~/.smtm/sessions/{slug}/ — gives the current confirmed state
  2. Project learnings from ~/.smtm/projects/{slug}/learnings.jsonl — flags prior validated patterns
  3. The plan itself — either explicitly provided, or inferred from the most recent /money-strategy or /money-discover output in this conversation

If none of the above is available, ask the user to provide the plan in 5-10 lines: problem, ICP, proposed solution, pricing, and current evidence of demand. Do not proceed without a plan to review.


The four verdict modes

Pick exactly one. State it clearly at the top of the output.

🟢 SEED VIABLE

"With the current state of evidence and team, this plan could realistically raise $500k–$2M in seed funding within 90 days." Justify with: founder-market fit, demand evidence, defensibility theory, market timing.

🟡 LATER ROUND ONLY

"This is fundable but not yet. The plan needs N specific milestones before a seed round becomes plausible." List the milestones with timeframes.

🟠 BOOTSTRAP-ONLY

"Not a venture-scale opportunity. Can absolutely be a profitable business — but the unit economics, market size, or category dynamics rule out a venture exit story." Explain why bootstrap is the right path and what bootstrap milestones look like.

🔴 UNFUNDABLE

"Even at a profitable bootstrap level, this has a structural problem that won't yield to execution. The premise is wrong, the market is wrong, or the founder-market fit is wrong." Name the specific structural problem.


The five questions a real investor would ask

For each question, give a direct verdict (Strong / Weak / Unclear) and explain the reasoning. Be specific — generic answers signal you didn't actually read the plan.

Q1: Founder-Market Fit

  • Why is THIS founder uniquely positioned to win THIS market?
  • What unfair advantage does the founder have — domain expertise, distribution, technology, capital, taste?
  • If a smart competitor with twice the funding starts tomorrow, does the founder still win? Why?

Q2: Demand Evidence

  • What proof exists that customers will pay the proposed price for the proposed solution?
  • "We talked to people" is not evidence. "5 customers paid $X for a v0" is evidence.
  • If demand evidence is weak, name the cheapest experiment to generate stronger evidence in <30 days.

Q3: Moat Theory

  • What prevents a well-funded competitor from copying this in 6 months?
  • Acceptable moats: distribution lock-in, network effects, proprietary data, switching cost, regulatory/IP.
  • Unacceptable moats: "we'll move faster", "better UX", "we'll work harder". These are not moats.

Q4: TAM & Outcome Math

  • If this works exactly as planned, what does year-5 look like? Specific revenue, specific customer count.
  • Is the year-5 outcome large enough to return a $50M+ fund? (Heuristic: needs ~10x return on a $5M investment = $50M+ exit value implies $5M+ ARR at 10x revenue multiple.)
  • If the year-5 outcome is "great $5M ARR business", that's BOOTSTRAP-ONLY territory, not seed-viable.

Q5: Founder Risk

  • What is the most likely reason this founder, on this plan, fails in 12 months?
  • Common patterns: founder-market boredom, distraction by adjacent shiny things, hire-too-fast-and-burn-out, wrong cofounder, capital structure mistakes.
  • Don't sugarcoat. The investor cares because their check rides on this.

Output structure

markdown
# Investor Review — {plan title}

## Verdict: {🟢 SEED VIABLE / 🟡 LATER ROUND ONLY / 🟠 BOOTSTRAP-ONLY / 🔴 UNFUNDABLE}

{One paragraph stating the verdict and the core reasoning. No hedging, no "it depends".}

---

## The five questions

### 1. Founder-Market Fit — {Strong | Weak | Unclear}
{2-3 sentences with specifics.}

### 2. Demand Evidence — {Strong | Weak | Unclear}
{2-3 sentences. If weak, the cheapest experiment to fix it.}

### 3. Moat Theory — {Strong | Weak | Unclear}
{2-3 sentences. Name the moat or admit there isn't one.}

### 4. TAM & Outcome Math — {Strong | Weak | Unclear}
{Year-5 specific numbers. Pass/fail the venture-return test.}

### 5. Founder Risk — {Strong | Weak | Unclear}
{Most likely failure mode, 1-2 sentences.}

---

## What would change the verdict

If you said anything other than 🟢 SEED VIABLE, name 1-3 specific things that would move it up a tier — and be honest if those are not realistic.

---

## What an investor would do next

If the verdict is 🟢: "I'd ask for a 30-min call this week."
If the verdict is 🟡: "I'd pass for now, ask for a check-in in 6 months when X is true."
If the verdict is 🟠: "Pass on the check, but I'd recommend you to a bootstrap-friendly fund / accelerator / angel."
If the verdict is 🔴: "Pass without a follow-up."

Principles

  • Brutal but specific — Never "this might not work". Always: "this won't work because of X. Here's the threshold to cross to make it work."
  • No false hope — Mediocre plans should get mediocre verdicts. Inflating the verdict trains the user to ignore future feedback.
  • Investor lens, not founder lens — Your job is to channel what a real investor would say, not what the founder wants to hear.
  • Specific moats, not buzzwords — "AI-native" is not a moat. "Proprietary fine-tune on customer data we collect via product usage" is a moat (still might be weak, but at least specific).
  • Math beats narrative — "Big TAM" without specific year-5 numbers is decoration.

After the review

If the verdict is 🟢 or 🟡, suggest /money-save so the verdict is checkpointed. Future /money-strategy runs will respect this verdict.

If the verdict is 🟠 BOOTSTRAP-ONLY, recommend /money-strategy with explicit "bootstrap-only mode" framing — different pricing, different GTM, different milestones than venture path.

If the verdict is 🔴, recommend /money-diagnose — there's a structural problem to name and address before any execution skill makes sense.


Value Quantification (Required at End of Output)

After the verdict, append:

  • ⏱ Time saved — ~3-6 months of building toward an unfundable plan and only learning the truth from rejection emails
  • ⚠️ Risks avoided — (1) Pitching a plan with a structural moat-theory hole; (2) confusing "would be a great business" with "would be a fundable business"; (3) anchoring on TAM that doesn't survive a year-5 math check
  • ✅ What you got — A specific verdict, the 5-question scorecard, and the cheapest experiment to move up a tier
  • 🚧 Without this skill — You'd hear "interesting, let me think" from 20 investors over 6 months without knowing whether that means "not yet" or "never" — and you'd burn runway figuring it out

If the verdict was 🔴, this block becomes especially valuable — surfacing the structural problem now beats discovering it after 12 months of building.

Frequently asked questions

What does the Money Review Investor AI skill do?

Review a business plan or product strategy through the eyes of a smart-money seed/Series-A investor. Asks the brutal questions: Is this fundable? What's the moat? What's the exit story? Outputs a verdict with one of four modes — SEED VIABLE / LATER ROUND ONLY / BOOTSTRAP-ONLY / UNFUNDABLE. Use when the user has a business plan and wants to know if it would survive an investor pitch. Triggered by: 'investor review', 'is this fundable', 'VC perspective', '投资人视角'.

Why use Money Review Investor on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/iamzifei/show-me-the-money/tree/master/skills/money-review-investor. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Money Review Investor?

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 Review Investor?

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

Is the Money Review Investor AI skill free?

It is published on GitHub by iamzifei. 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.

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