Marketing OS is a modular, schema-driven AI system that bridges the gap between strategic market analysis and granular campaign execution.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install marketing-os
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 marketing-os 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 Marketing OS?
Marketing OS is a sophisticated marketing intelligence framework designed for integration with any AI agent runtime. It functions as a complete operating system for marketing teams, utilizing a Virtual CMO for strategic decision-making and a Marketing Operator for task execution. By leveraging structured collaboration protocols, the system ensures that high-level market insights are translated into actionable, zero-ambiguity tasks.
Built specifically for the Openclaw Skills ecosystem, this tool manages the entire marketing lifecycle—from initial market discovery and opportunity identification to campaign planning and performance tracking. It uses a modular architecture where strategy and execution are separated but linked via a shared memory layer, allowing for persistent learning and optimization across different business contexts.
Marketing OS Use Cases
- Automated market discovery to analyze current opportunities and generate strategic recommendations.
- Offer selection and product matching based on identified market signals.
- Detailed campaign planning that breaks down complex strategies into executable atomic tasks.
- High-velocity execution sprints with real-time KPI tracking and automated performance feedback.
How Marketing OS Works
- The Virtual CMO collects and analyzes market data, including competitor moves, search trends, and audience signals.
- Signals are scored and clustered to identify high-priority market opportunities based on market size and capability match.
- A structured Mission Brief is generated and sent to the Marketing Operator using a dedicated JSON communication schema.
- The Marketing Operator validates the brief and decomposes actions into atomic tasks with assigned owners and deadlines.
- Resources are allocated and campaigns are assembled with specific success criteria and primary KPIs.
- The system executes tasks through various adapters and tracks status in real-time, moving from pending to completed.
- Metrics are collected and reported back to the Virtual CMO to refine future strategic models and recommendations.
Marketing OS Setup
To integrate Marketing OS into your environment, navigate to your skill directory and clone the package. Ensure your environment supports the execution of Openclaw Skills and initialize your configuration files.
# Clone the skill package
git clone https://github.com/openclaw/marketing-os.git
# Navigate to the config directory
cd marketing-os/configs
# Configure your environment variables and adapters
cp system.config.json.example system.config.json
Marketing OS Data Schema & Taxonomy
The skill maintains a rigorous organizational structure for metadata and execution logs to ensure compatibility within Openclaw Skills. Data is categorized as follows:
| Layer | Component | Function |
|---|---|---|
| Strategy | schemas/cmo_output.schema.json |
Defines the structure for market opportunities and risk assessments. |
| Execution | schemas/cmo_to_operator.schema.json |
Standardizes the communication protocol between strategic and tactical roles. |
| Persistence | memory/ |
Stores campaign history, audience pain points, and cross-session learnings. |
| Integration | adapters/ |
Houses specifications for connecting to external CRM, Data, and Content systems. |
Marketing OS Advanced Features
- Dual-role architecture providing a clear separation of concerns between strategy (Virtual CMO) and execution (Marketing Operator).
- Auto-mode capabilities for fully autonomous marketing operations once initial quality is verified.
- Built-in priority scoring logic using multi-factor weighted calculations for opportunity assessment.
- Strict behavioral constraints that enforce the use of priority levels (critical/high/medium/low) and forbid vague suggestions.
- Data-driven feedback loops that categorize outputs into [FACT], [INFERENCE], or [RECOMMENDATION] for high-fidelity decision making.
SKILL.md
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