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Cmo Review

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alirezarezvani
cmo-review

/cs:cmo-review <plan> — Narrative-first interrogation of positioning, ICP, message house, and channel mix. Use when launching a campaign or repositioning, or when CAC is rising and the one-sentence positioning test fails.

Overview

Publisheralirezarezvani
Repositoryclaude-skills
Skill namecmo-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 Cmo 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/cmo-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/cmo-review .claude/skills/cmo-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cmo 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 Cmo 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 Cmo 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:cmo-review — CMO Forcing Questions

Command: /cs:cmo-review <plan>

The narrative-first strategist pressure-tests positioning before debating tactics.

When to Run

  • Before launching any new campaign
  • Before changing positioning, tagline, or category
  • Before allocating > 10% of marketing budget to a new channel
  • Before a major PR moment (funding announcement, product launch)
  • When pipeline contribution is declining

The Six CMO Questions

1. ICP (One Real Person)

Name one real person in your ICP. Company, title, what they do daily, what they hate.

  • Persona ≠ ICP. ICP is real.
  • If you can't name one, the ICP isn't sharp enough.

2. JTBD

What job is the customer hiring this product to do, and what's the alternative they use today?

  • One sentence the customer would say out loud.
  • "We use spreadsheets" is a valid alternative. So is "we don't."

3. Positioning Statement

One sentence: For [ICP], who needs [job], we are [category] that [differentiator] unlike [alternative].

  • This is the headline. Everything cascades.
  • If it doesn't fit in one sentence, it's not positioning yet.

4. Distribution Channel

Where does the customer first hear your name — and is it inbound or outbound at this stage?

  • Name the channel, intent, and the path to first contact.
  • PLG, sales-led, content-led, partnership-led — pick a primary.

5. CAC Payback

Per channel: what's CAC, what's payback in months, and is it improving?

  • If a channel's payback is > 18 months, it isn't a channel — it's a hobby.

6. Defensibility of Brand

If a well-funded competitor copies your messaging tomorrow, what's still yours?

  • Category position, founder-market fit, customer love, distribution lock — name one.

Workflow

  1. Run the models:
    bash
    python ../../../c-level-advisor/skills/cmo-advisor/scripts/marketing_budget_modeler.py
    python ../../../c-level-advisor/skills/cmo-advisor/scripts/growth_model_simulator.py
  2. Answer the six questions in writing.
  3. Apply the verdict:
    • 🟢 GREEN — story is sharp, channel mix sound
    • 🟡 YELLOW — sharpen positioning before scaling
    • 🔴 RED — positioning broken; do not spend

Output Format

markdown
# CMO Review: <plan>
**Date:** YYYY-MM-DD

## Positioning
One-sentence statement: <here>

## ICP
- Named persona: <name, title, company>
- JTBD: <one sentence in their words>

## Channel Mix
- Primary: <channel> | CAC $X | Payback Ym
- Secondary: <channel> | CAC $X | Payback Ym

## Verdict
🟢 / 🟡 / 🔴

## Next Steps
[3 concrete actions]

Routing

  • /cs:cro-review — pipeline contribution check
  • /cs:cpo-review — product ↔ positioning alignment
  • /cs:decide — log the verdict

Related


Version: 1.0.0

Frequently asked questions

What does the Cmo Review AI skill do?

/cs:cmo-review <plan> — Narrative-first interrogation of positioning, ICP, message house, and channel mix. Use when launching a campaign or repositioning, or when CAC is rising and the one-sentence positioning test fails.

Why use Cmo Review on TypingMind?

Because you install it once and use it with any model. Cmo 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 Cmo 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/cmo-review. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Cmo 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 Cmo Review?

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

Is the Cmo 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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