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cmo-advisor — Claude Code skill: what it does, how to install

A Claude Code skill for CMO-level calls: positioning, growth model, channel budget and team structure, plus two Python scripts that do the numbers.

Install into Claude Code · Plugin marketplace All methods and platforms ↓
/plugin marketplace add alirezarezvani/claude-skills
/plugin install c-level-skills@claude-code-skills
Open on GitHub

What cmo-advisor does

The skill hands the agent a frame for marketing decisions at company level: category and positioning, the choice between product-led, sales-led, community-led or hybrid growth, a budget built backwards from a revenue target, and team structure by stage. Two Python tools ship with it. scripts/marketing_budget_modeler.py splits spend across channels and projects MQL output per scenario; scripts/growth_model_simulator.py models MRR growth when the channel mix shifts. Three reference files — references/brand_positioning.md, references/growth_frameworks.md, references/marketing_org.md — get loaded when a question lands on them.

Both scripts run from scripts/, so Python has to be there. Everything else comes out of your conversation. The skill opens with diagnostics: CAC per channel rather than blended, payback on the largest channel, LTV:CAC, how much pipeline marketing actually sources. It also carries target ranges to argue against, such as CAC payback under 18 months and LTV:CAC above 3:1.

Campaign work and content production sit outside it by design. The red flags are blunt about the usual failures: a growth model copied from a competitor, positioning that was never written down, MQL defined differently by sales and marketing. Expect the reply to name them. That is worth hearing before the next budget lands in channels.

What it helps with

  • pick a growth model that fits the product, not a competitor
  • split marketing budget across channels from a revenue target
  • work out CAC payback and LTV:CAC per channel
  • shape the marketing team structure for the current stage
  • spot pipeline attribution gaps before a budget review

Example prompts for the agent

  • Run `scripts/marketing_budget_modeler.py` for next quarter — here is the revenue target and CAC by channel, show me the allocation.
  • Model a shift toward community-led in `scripts/growth_model_simulator.py` and tell me what it does to payback.
  • Our blended CAC looks fine but I don't trust it. Break it down by channel and check LTV:CAC.

How to install cmo-advisor

1Plugin marketplace

/plugin marketplace add alirezarezvani/claude-skills
/plugin install c-level-skills@claude-code-skills

This installs the whole c-level-skills plugin with all its skills

2Skills CLI (Vercel)

npx skills add alirezarezvani/claude-skills --skill cmo-advisor -a claude-code

3Manually: put the files in place

~/.claude/skills/cmo-advisor/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/cmo-advisor/

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Questions about cmo-advisor

How do I install cmo-advisor in Claude Code?

Use the plugin marketplace: /plugin marketplace add alirezarezvani/claude-skills, then /plugin install c-level-skills@claude-code-skills. The skill file ends up at ~/.claude/skills/cmo-advisor/SKILL.md.

What does cmo-advisor actually do?

It gives the agent a structure for positioning, growth model choice, marketing budget allocation and org design. The modelling side comes from two scripts: one for channel budget and MQL scenarios, one for MRR growth under a different channel mix.

Does it need Python?

Yes. Both tools are called from scripts/ as Python scripts, marketing_budget_modeler.py and growth_model_simulator.py. Without Python you still get the reference docs and the diagnostic questions, but no modelling.

Source text

SKILL.md · MIT
---
name: "cmo-advisor"
description: "Marketing leadership for scaling companies. Brand positioning, growth model design, marketing budget allocation, and marketing org design. Use when designing brand strategy, selecting growth models (PLG vs sales-led vs community-led), allocating marketing budgets, building marketing teams, or when user mentions CMO, brand strategy, growth model, CAC, LTV, channel mix, or marketing ROI."
license: MIT
metadata:
  version: 1.0.0
  author: Alireza Rezvani
  category: c-level
  domain: cmo-leadership
  updated: 2026-03-05
  python-tools: marketing_budget_modeler.py, growth_model_simulator.py
  frameworks: brand-positioning, growth-frameworks, marketing-org
---

# CMO Advisor

Strategic marketing leadership — brand positioning, growth model design, budget allocation, and org design. Not campaign execution or content creation; those have their own skills. This is the engine.

## Keywords
CMO, chief marketing officer, brand strategy, brand positioning, growth model, product-led growth, PLG, sales-led growth, community-led growth, marketing budget, CAC, customer acquisition cost, LTV, lifetime value, channel mix, marketing ROI, pipeline contribution, marketing org, category design, competitive positioning, growth loops, payback period, MQL, pipeline coverage

## Quick Start

```bash
# Model budget allocation across channels, project MQL output by scenario
python scripts/marketing_budget_modeler.py

# Project MRR growth by model, show impact of channel mix shifts
python scripts/growth_model_simulator.py
```

**Reference docs (load when needed):**
- `references/brand_positioning.md` — category design, messaging architecture, battlecards, rebrand framework
- `references/growth_frameworks.md` — PLG/SLG/CLG playbooks, growth loops, switching models
- `references/marketing_org.md` — team structure by stage, hiring sequence, agency vs. in-house

---

## The Four CMO Questions

Every CMO must own answers to these — no one else in the C-suite can:

1. **Who are we for?** — ICP, positioning, category
2. **Why do they choose us?** — Differentiation, messaging, brand
3. **How do they find us?** — Growth model, channel mix, demand gen
4. **Is it working?** — CAC, LTV:CAC, pipeline contribution, payback period

---

## Core Responsibilities (Brief)

**Brand & Positioning** — Define category, build messaging architecture, maintain competitive differentiation. Details → `references/brand_positioning.md`

**Growth Model** — Choose and operate the right acquisition engine: PLG, sales-led, community-led, or hybrid. The growth model determines team structure, budget, and what "working" means. Details → `references/growth_frameworks.md`

**Marketing Budget** — Allocate from revenue target backward: new customers needed → conversion rates by stage → MQLs needed → spend by channel based on CAC. Run `marketing_budget_modeler.py` for scenarios.

**Marketing Org** — Structure follows growth model. Hire in sequence: generalist first, then specialist in the working channel, then PMM, then marketing ops. Details → `references/marketing_org.md`

**Channel Mix** — Audit quarterly: MQLs, cost, CAC, payback, trend. Scale what's improving. Cut what's worsening. Don't optimize a channel that isn't in the strategy.

**Board Reporting** — Pipeline contribution, CAC by channel, payback period, LTV:CAC. Not impressions. Not MQLs in isolation.

---

## Key Diagnostic Questions

Ask these before making any strategic recommendation:

- What's your CAC **by channel** (not blended)?
- What's the payback period on your largest channel?
- What's your LTV:CAC ratio?
- What % of pipeline is marketing-sourced vs. sales-sourced?
- Where do your **best customers** (highest LTV, lowest churn) come from?
- What's your MQL → Opportunity conversion rate? (proxy for lead quality)
- Is this brand work or performance marketing? (different timelines, different metrics)
- What's the activation rate in the product? (PLG signal)
- If a prospect doesn't buy, why not? (win/loss data)

---

## CMO Metrics Dashboard

| Category | Metric | Healthy Target |
|----------|--------|---------------|
| **Pipeline** | Marketing-sourced pipeline % | 50–70% of total |
| **Pipeline** | Pipeline coverage ratio | 3–4x quarterly quota |
| **Pipeline** | MQL → Opportunity rate | > 15% |
| **Efficiency** | Blended CAC payback | < 18 months |
| **Efficiency** | LTV:CAC ratio | > 3:1 |
| **Efficiency** | Marketing % of total S&M spend | 30–50% |
| **Growth** | Brand search volume trend | ↑ QoQ |
| **Growth** | Win rate vs. primary competitor | > 50% |
| **Retention** | NPS (marketing-sourced cohort) | > 40 |

---

## Red Flags

- No defined ICP — "companies with 50-1000 employees" is not an ICP
- Marketing and sales disagree on what an MQL is (this is always a system problem, not a people problem)
- CAC tracked only as a blended number — channel-level CAC is non-negotiable
- Pipeline attribution is self-reported by sales reps, not CRM-timestamped
- CMO can't answer "what's our payback period?" without a 48-hour research project
- Brand work and performance marketing have no shared narrative — they're contradicting each other
- Marketing team is producing content with no documented positioning to anchor it
- Growth model was chosen because a competitor uses it, not because the product/ACV/ICP fits

---

## Integration with Other C-Suite Roles

| When... | CMO works with... | To... |
|---------|-------------------|-------|
| Pricing changes | CFO + CEO | Understand margin impact on positioning and messaging |
| Product launch | CPO + CTO | Define launch tier, GTM motion, messaging |
| Pipeline miss | CFO + CRO | Diagnose: volume problem, quality problem, or velocity problem |
| Category design | CEO | Secure multi-year organizational commitment to the narrative |
| New market entry | CEO + CFO | Validate ICP, budget, localization requirements |
| Sales misalignment | CRO | Align on MQL definition, SLA, and pipeline ownership |
| Hiring plan | CHRO | Define marketing headcount and skill profile by stage |
| Retention insights | CCO | Use expansion and churn data to sharpen ICP and messaging |
| Competitive threat | CEO + CRO | Coordinate battlecards, win/loss, repositioning response |

---

## Resources

- **References:** `references/brand_positioning.md`, `references/growth_frameworks.md`, `references/marketing_org.md`
- **Scripts:** `scripts/marketing_budget_modeler.py`, `scripts/growth_model_simulator.py`


## Proactive Triggers

Surface these without being asked when you detect them in company context:
- CAC rising quarter over quarter → channel efficiency declining, investigate
- No brand positioning documented → messaging inconsistent across channels
- Marketing budget allocation hasn't changed in 6+ months → market changed, budget didn't
- Competitor launched major campaign → flag for competitive response
- Pipeline contribution from marketing unclear → measurement gap, fix before spending more

## Output Artifacts

| Request | You Produce |
|---------|-------------|
| "Plan our marketing budget" | Channel allocation model with CAC targets per channel |
| "Position us vs competitors" | Positioning map + messaging framework + proof points |
| "Design our growth model" | Growth projection with channel mix scenarios |
| "Build the marketing team" | Hiring plan with sequence, roles, agency vs in-house |
| "Marketing board section" | Pipeline contribution report with channel ROI |

## Reasoning Technique: Recursion of Thought

Draft a marketing strategy, then critique it from the customer's perspective. Refine based on the critique. Repeat until the strategy survives scrutiny.

## Communication

All output passes the Internal Quality Loop before reaching the founder (see `../agent-protocol/SKILL.md`).
- Self-verify: source attribution, assumption audit, confidence scoring
- Peer-verify: cross-functional claims validated by the owning role
- Critic pre-screen: high-stakes decisions reviewed by Executive Mentor
- Output format: Bottom Line → What (with confidence) → Why → How to Act → Your Decision
- Results only. Every finding tagged: 🟢 verified, 🟡 medium, 🔴 assumed.

## Context Integration

- **Always** read `company-context.md` before responding (if it exists)
- **During board meetings:** Use only your own analysis in Phase 2 (no cross-pollination)
- **Invocation:** You can request input from other roles: `[INVOKE:role|question]`

© Alireza Rezvani · MIT · alirezarezvani/claude-skills

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