A professional advertising framework for mapping objectives, channel roles, and budget allocations across major ad platforms.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install media-strategy-planner
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install media-strategy-planner using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Media Strategy Planner is a high-performance skill designed for Openclaw Skills users who need actionable advertising execution plans. It moves beyond generic marketing advice by providing specific strategies for Meta, Google Ads, TikTok, and more, focusing on business outcomes like ROAS and CPA.
By integrating this skill into your workflow, you can automate the complexity of multi-channel planning while ensuring budget efficiency and strategic alignment with your growth targets. It is specifically engineered to handle objective mapping and channel mix optimization for professional media buyers and growth engineers.
To utilize this planner within your Openclaw Skills environment, ensure your agent is configured to recognize the media-strategy-planner capability. You can initiate a planning session by providing a configuration block or a direct prompt.
# Example of triggering the skill with input parameters via CLI
openclaw run media-strategy-planner --objective "improve_roas" --budget "50000" --channels "Meta, Google Ads"
The skill processes inputs and generates structured strategy matrices to ensure data consistency across your Openclaw Skills workflows:
| Output Component | Description | Format |
|---|---|---|
| Strategy Snapshot | High-level summary of the execution plan | Markdown |
| Channel Role | Functional definition for each platform (e.g., Demand Capture) | List |
| Budget Plan | Numeric allocation and bidding logic | YAML/Table |
| Test Matrix | Defined variables and success metrics for experiments | Table |
| Scale/Kill Rules | Conditional logic for budget adjustments and risk management | Ruleset |
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