A strategic marketing leadership skill for scaling companies, focusing on brand positioning, growth model design, and budget allocation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install cmo-advisor
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install cmo-advisor using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is CMO Advisor?
The CMO Advisor skill provides high-level strategic marketing leadership for scaling organizations. Unlike tools focused on tactical campaign execution, this Openclaw Skills asset acts as the core engine for brand positioning, growth model design (including PLG and SLG), and marketing organizational structure. It helps technical founders and C-suite executives answer critical questions about customer acquisition costs (CAC), lifetime value (LTV), and pipeline contribution.
By leveraging specialized Python modeling scripts, the CMO Advisor enables data-driven decisions on marketing budget allocation and channel mix optimization. It ensures that brand narratives and performance marketing efforts are aligned, preventing the common red flag scenarios that often plague rapidly growing startups, such as inconsistent ICP definitions or blended CAC tracking.
CMO Advisor Use Cases
- Designing a comprehensive brand strategy and messaging architecture for a new product category.
- Selecting and simulating growth models such as Product-Led Growth (PLG) or Sales-Led Growth (SLG).
- Allocating marketing budgets across multiple channels based on projected MQL output and conversion rates.
- Designing a marketing organizational structure and hiring sequence for different stages of company growth.
- Preparing for board meetings with detailed reports on pipeline contribution and payback periods.
How CMO Advisor Works
- Analyzes the existing company context and current marketing metrics such as CAC and LTV.
- Applies strategic frameworks from the Openclaw Skills library to define ICP, positioning, and category design.
- Runs simulation scripts to project MRR growth and channel mix shifts under various scenarios.
- Develops actionable artifacts including positioning maps, hiring plans, and channel ROI reports.
- Refines strategic recommendations using a Recursion of Thought technique to ensure the strategy survives rigorous scrutiny.
CMO Advisor Setup
To utilize the CMO Advisor skill within your environment, ensure your workspace is configured for Python execution and reference documentation is present. Use the following commands to initialize the core models:
# Model budget allocation across channels and project MQL output
python scripts/marketing_budget_modeler.py
# Project MRR growth by model and show impact of channel mix shifts
python scripts/growth_model_simulator.py
Reference documents such as brand_positioning.md and growth_frameworks.md should be loaded as needed to provide tactical depth.
CMO Advisor Data Schema & Taxonomy
The skill organizes marketing data into strategic pillars and uses specific schemas for quantitative modeling and organizational planning:
| Category | Data Points |
|---|---|
| Pipeline Metrics | Marketing-sourced pipeline %, MQL-to-Opportunity rates, Pipeline coverage |
| Efficiency Metrics | Channel-level CAC, LTV:CAC ratios, Payback period, S&M spend mix |
| Growth & Brand | Brand search volume trends, Win rates vs. competitors, NPS by cohort |
| Organizational | Hiring sequence by stage, Role profiles, Agency vs. In-house allocation |
CMO Advisor Advanced Features
- Python-powered budget modeling for data-backed channel allocation and scenario projection.
- Recursion of Thought reasoning technique for multi-stage strategy refinement and critique.
- Proactive strategic triggers that alert users to rising CAC or unclear pipeline contribution.
- Cross-functional integration protocols for collaborating with CEO, CFO, and CRO roles.
- Internal Quality Loop verification for self-auditing results and assumption auditing.
SKILL.md
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METADATA
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