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Cfo Review

CommunityPopular
alirezarezvani
cfo-review

/cs:cfo-review <plan> — Numerate-skeptic interrogation of any plan that touches money. Unit economics, runway, dilution, capital allocation. Use when a plan commits meaningful spend — e.g. a hiring wave, a fundraise decision, or a new channel budget.

Overview

Publisheralirezarezvani
Repositoryclaude-skills
Skill namecfo-review
Stars
28K
Forks
3.9K
Bundled files
Instructions only
LicenseMIT
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 alirezarezvani on GitHub. Read the source before you install it.

Installation

Install the Cfo Review 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/alirezarezvani/claude-skills/tree/main/c-level-agents/skills/cfo-review
  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/alirezarezvani/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/c-level-agents/skills/cfo-review .claude/skills/cfo-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cfo Review 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 Cfo Review 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 Cfo Review 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.

/cs:cfo-review — CFO Forcing Questions

Command: /cs:cfo-review <plan>

The numerate skeptic stress-tests anything that touches money. Six questions before any spend or fundraise.

When to Run

  • Before approving any spend > 1% of revenue
  • Before opening a new hiring requisition
  • Before any fundraise conversation
  • Before changing pricing or unit economics
  • Before signing a multi-year contract

The Six CFO Questions

1. Burn & Runway

What's the burn multiple and how many months of cash remain at base / bull / bear?

  • Burn multiple = Net burn ÷ Net new ARR. Above 2x is a problem.
  • If bear case < 12 months, you're already in fundraising mode.

2. Unit Economics

What is LTV / CAC per channel, and what's the payback period on the top-2 channels?

  • LTV / CAC > 3x is healthy. Payback < 12 months is healthy.
  • If either is broken, do not scale that channel.

3. Dilution Path

If this plan requires a raise, what's the dilution at base and bear valuations?

  • Founder dilution per round.
  • Cumulative dilution to next 2 rounds.

4. Capital Allocation Alternative

If this dollar wasn't spent here, where else could it go and what's the expected return?

  • Three alternatives: hiring, product, marketing.
  • Make the opportunity cost explicit.

5. Revenue Quality

What's the gross margin, and how does it trend at scale?

  • If margin compresses with scale, the model is broken.
  • Cost-of-revenue should grow slower than revenue.

6. Bear Case Survival

If revenue is 50% of plan, does the company survive 18 months?

  • Default-alive is non-negotiable.
  • If not, identify the cut triggers in advance.

Workflow

  1. Run the numbers:
    bash
    python ../../../c-level-advisor/skills/cfo-advisor/scripts/burn_rate_calculator.py
    python ../../../c-level-advisor/skills/cfo-advisor/scripts/unit_economics_analyzer.py
    python ../../../c-level-advisor/skills/cfo-advisor/scripts/fundraising_model.py
  2. Answer all six questions with numbers, not adjectives.
  3. Apply the verdict:
    • 🟢 GREEN — fund it
    • 🟡 YELLOW — fund with cut triggers
    • 🔴 RED — kill or revise

Output Format

markdown
# CFO Review: <plan>
**Date:** YYYY-MM-DD
**Reviewer:** cs-cfo-advisor

## Numbers
- Burn multiple: X.Xx
- Runway (base/bull/bear): X / X / X months
- LTV/CAC top channel: X.Xx, payback Y months
- Gross margin: X% (trend: Y)
- Dilution this round: X%
- Bear-case survival: PASS / FAIL

## Verdict
🟢 GREEN | 🟡 YELLOW | 🔴 RED

## Conditions (if YELLOW)
- Cut trigger: <metric> < <threshold> → <action>
- Review checkpoint: <date>

## Recommendation
[3 concrete next steps]

Routing

  • /cs:decide — log the verdict
  • /cs:execute — build 90-day plan if GREEN
  • /cs:boardroom — escalate if multi-role implications

Related


Version: 1.0.0

Frequently asked questions

What does the Cfo Review AI skill do?

/cs:cfo-review <plan> — Numerate-skeptic interrogation of any plan that touches money. Unit economics, runway, dilution, capital allocation. Use when a plan commits meaningful spend — e.g. a hiring wave, a fundraise decision, or a new channel budget.

Why use Cfo Review on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/alirezarezvani/claude-skills/tree/main/c-level-agents/skills/cfo-review. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Cfo Review?

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 Cfo Review?

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

Is the Cfo Review AI skill free?

Yes. It is published on GitHub by alirezarezvani 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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