A diagnostic and optimization engine for Direct-to-Consumer brands to stabilize ROAS and scale ad spend across major platforms.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install dtc-ads-helper
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 dtc-ads-helper using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The DTC Ads Helper is a technical diagnostic tool designed to bridge the gap between ad platform data and actionable e-commerce growth. By analyzing signals from Meta, Google, TikTok, and Shopify, this skill provides developers and marketers with a clear roadmap for stabilizing volatile returns and identifying high-confidence scaling opportunities. It focuses on the technical integrity of the conversion funnel, ensuring that users can rely on accurate attribution and pixel readiness before committing to increased budgets.
This tool serves as a bridge between performance marketing and technical execution, allowing for data-driven decisions on account structure and creative performance. It is essential for teams looking to automate the detection of creative fatigue or landing page friction within their Openclaw Skills ecosystem. By synthesizing data from multiple channels, it provides a unified view of store health and growth potential.
To integrate the DTC Ads Helper into your workflow, ensure your environment has access to your platform API snapshots. Use the following command to add it to your setup:
# Initialize the DTC helper within your agent configuration
openclaw add dtc-ads-helper
Once installed, provide the required store URL and platform performance snapshots as input to begin the diagnostic process within your Openclaw Skills library.
The skill organizes data around attribution readiness and performance volatility using a structured format:
| Key | Type | Description |
|---|---|---|
| pixel_readiness | string | Status of OCPX-style event tracking (Ready, Conditional, or Fix) |
| roas_root_cause | object | Breakdown of factors causing ROAS fluctuations and volatility |
| scaling_ladder | list | Step-by-step budget lift recommendations for safe scaling |
| priority_queue | list | Execution tasks ranked by immediate impact on conversion rates |
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