A strategic marketing intelligence skill for high-level budget allocation, growth modeling, and executive-ready reporting across major ad platforms.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install cmo-ads-helper
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-ads-helper 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 Ads Helper?
The CMO Ads Helper is a powerful addition to your Openclaw Skills library designed for marketing leaders and growth engineers. It bridges the gap between high-level business objectives—such as revenue, profit, and cashflow targets—and actionable media buying strategies. By simulating budget allocations across platforms like Meta, Google Ads, TikTok, and Amazon, it helps users visualize growth paths while accounting for real-world constraints like inventory limits and risk tolerance.
This skill excels at translating complex financial goals into a structured KPI tree, ensuring that every dollar spent aligns with the broader corporate vision. Whether you are planning a quarterly reset or navigating a sudden budget cut, the CMO Ads Helper provides the analytical depth needed to maintain a high-performance advertising engine.
CMO Ads Helper Use Cases
- Planning annual or quarterly growth strategies with a specific focus on profit floors.
- Simulating multi-channel budget allocations between demand-capture and brand-awareness platforms.
- Generating executive growth reports and board-ready narratives for leadership updates.
- Evaluating risk levels and payback speed for cashflow-constrained business models.
- Forecasting blended ROAS and long-term value (LTV) under varying attribution scenarios.
How CMO Ads Helper Works
- Input your top-line business targets (revenue, profit, cashflow) and the planning horizon into the AI agent.
- The skill normalizes these goals into a quantifiable KPI tree, identifying the most efficient growth paths.
- It simulates various channel budget structures (base, upside, and downside scenarios) across Meta, Google, TikTok, and other platforms.
- ROAS and LTV forecasts are generated based on historical performance data and attribution assumptions.
- The skill identifies potential risks, attaches mitigation owners, and exports a comprehensive summary.
CMO Ads Helper Setup
To integrate this capability into your environment, ensure you have the core framework installed. Add the cmo-ads-helper to your local Openclaw Skills repository. Provide your historical channel spend and KPI baseline in a structured format.
# Example of initiating a growth plan
openclaw-agent run cmo-ads-helper --horizon "Q3-2026"
CMO Ads Helper Data Schema & Taxonomy
The skill organizes data through a structured input/output contract to ensure consistency across the Openclaw Skills ecosystem. It utilizes YAML for goal definitions and JSON for forecast modeling.
| Attribute | Description |
|---|---|
| business_targets | Revenue, profit, and cashflow goals |
| current_mix | Existing channel spend and KPI baseline |
| channel_allocation | Percentage distribution across Meta, Google, TikTok, etc. |
| risk_radar | High, medium, and low risk flags for specific channels |
| executive_summary | Markdown-formatted report for leadership |
| scenario_modeling | Base, upside, and downside forecast outputs |
CMO Ads Helper Advanced Features
- Automated trade-off matrix generation when profit and growth targets conflict.
- Staged budget release logic for high-uncertainty market environments.
- Priority-based optimization (e.g., prioritizing payback speed over scale during cashflow crunches).
- Multi-platform behavior guidance tailored to specific channel strengths like intent-driven efficiency or creative breadth.
- Seamless integration with other Openclaw Skills for deeper data analysis and automation.
SKILL.md
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