Automate the assembly, summarization, and action planning for advertising campaigns across major global platforms.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install daily-weekly-report-generator
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 daily-weekly-report-generator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Daily & Weekly Ads Report Generator is a sophisticated AI agent capability designed to streamline the reporting lifecycle for digital marketers. By integrating with Openclaw Skills, this tool transforms raw advertising data into narrative summaries and actionable growth plans. It specializes in multi-channel orchestration, ensuring that performance metrics from Meta, Google Ads, TikTok, and Amazon are not just aggregated, but interpreted within the context of business-critical outcomes like ROAS, CPA, and revenue efficiency.
This skill goes beyond standard data visualization by providing context-aware recommendations. Whether you are managing complex DSP programmatic spend or high-cadence social media creative testing, this addition to your Openclaw Skills library acts as a virtual data scientist. It ensures that every report includes trend deltas, variance drivers, and concrete next steps to safeguard and scale your advertising budget.
To integrate the Ads Report Generator with your Openclaw Skills environment, ensure you have the necessary API credentials for your ad platforms. You can initialize the skill using the following configuration:
# Example of initializing the ads report skill in your environment
openclaw install daily-weekly-report-generator
Configure your metric scope and platform sources in your project settings to begin generating automated summaries.
The skill organizes data into a structured format that prioritizes clarity and actionability. The following table describes the primary data components:
| Component | Description |
|---|---|
| Metric Scope | KPI definitions, dimensions (platform/campaign), and date ranges. |
| Source Mix | Data breakdown by platform (Meta, Google, TikTok, Amazon, DSP). |
| Result Schema | JSON-based output containing spend, revenue, and ROAS per channel. |
| Decision Payload | A list of proposed actions with associated confidence thresholds. |
All metadata is tagged with attribution windows and benchmark references to ensure historical context.
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