Cmo Advisor
Model growth motion, brand positioning, and marketing budget tradeoffs before you scale spend or hire a marketing team.
Overview
CMO Advisor is an agent skill most often used in Grow—also Validate and Launch—that delivers CMO-level brand positioning, growth-model selection, marketing budget scenarios, and org design for scaling companies.
Install
npx skills add https://github.com/alirezarezvani/claude-skills --skill cmo-advisorWhat is this skill?
- Strategic CMO lens: brand positioning, category design, and competitive positioning—not campaign or content execution
- Two Python tools—marketing_budget_modeler.py and growth_model_simulator.py—for scenario-based budget and MRR projections
- Frameworks for PLG, sales-led, and community-led growth models with explicit channel-mix and marketing ROI framing
- Marketing org design guidance for scaling teams alongside budget and pipeline assumptions
- Documented as v1.0.0 with MIT license and c-level / cmo-leadership domain metadata
- Bundled Python tools: marketing_budget_modeler.py and growth_model_simulator.py
- Framework areas: brand-positioning, growth-frameworks, marketing-org
- Skill metadata version 1.0.0 (updated 2026-03-05)
Adoption & trust: 541 installs on skills.sh; 17.5k GitHub stars; 3/3 security scanners passed (skills.sh audits).
What problem does it solve?
You are scaling but lack a coherent brand story, growth motion, and defensible marketing budget before burn and hiring decisions compound.
Who is it for?
Solo founders or indie leads at post-PMF SaaS who need PLG versus sales-led clarity, CAC/LTV-aware budget splits, and pipeline-oriented marketing org thinking before scaling spend.
Skip if: Builders who only need ad copy, social posts, or campaign execution; or pre-product ideas with no metrics to feed the Python budget and growth models.
When should I use this skill?
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, c
What do I get? / Deliverables
You leave with positioned brand and category choices, a chosen growth model with channel mix rationale, and scenario outputs from the budget and growth simulators to guide spend and team shape.
- Brand and competitive positioning recommendations aligned to category design
- Growth-model recommendation (PLG, sales-led, or community-led) with channel-mix rationale
- Scenario outputs from budget and growth simulators for MQL/MRR and ROI discussion
Recommended Skills
Journey fit
Spans multiple journey phases - primary shelf plus alternate fits below.
Canonical shelf on Grow because the skill centers on scaling mechanics—CAC, LTV, channel mix, pipeline contribution, and org design—not one-off launch assets. Lifecycle fits growth-model selection, payback period, MQL/pipeline coverage, and channel ROI—the core outputs of the bundled budget and growth simulators.
Where it fits
Pressure-test whether value metrics and packaging fit a PLG loop before you commit engineering to self-serve onboarding.
Define category and competitive positioning so launch channels tell one story instead of fragmented feature claims.
Run marketing_budget_modeler.py scenarios to compare channel mix against MQL targets and payback assumptions.
Use growth_model_simulator.py to see how switching emphasis from sales-led to community-led motion affects projected MRR.
How it compares
Use for executive marketing strategy and modeling scripts, not as a replacement for content-creation or campaign-run skills.
Common Questions / FAQ
Who is CMO Advisor for?
Solo builders and small teams scaling a company who wear the marketing leadership hat and need brand positioning, growth-model design, budget allocation, and org structure—not day-to-day creative production.
When should I use CMO Advisor?
In Validate when scoping pricing and positioning against a growth motion; in Launch when designing distribution, category narrative, and channel mix; and in Grow when allocating budget, tuning CAC/LTV and payback, and planning marketing hires or pipeline coverage.
Is CMO Advisor safe to install?
Review the Security Audits panel on this Prism page before running bundled Python scripts locally; the skill may read or write project files when you execute the modelers—do not paste live API secrets into prompts.
SKILL.md
READMESKILL.md - Cmo Advisor
# 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, w