An intelligent query engine that translates natural-language business questions into precise advertising metric reports and actionable optimization plans.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ads-data-query-assistant
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 ads-data-query-assistant 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 Ads Data Query Assistant?
The Ads Data Query Assistant is a specialized tool designed to bridge the gap between complex advertising data and strategic decision-making. By leveraging Openclaw Skills, this agent interprets high-level objectives—such as improving ROAS or reducing CPA—and converts them into granular data pulls across major platforms including Meta, Google Ads, TikTok Ads, and Amazon Ads. It goes beyond simple data retrieval by synthesizing findings into prioritized action plans, ensuring that every insight is backed by measurable KPI targets and platform-specific constraints.
Built for developers and growth marketers, this skill streamlines the analysis of traffic, conversion funnels, and campaign performance signals. It eliminates the manual overhead of navigating multiple dashboards, providing a unified interface for cross-platform market analysis and strategy refinement within the Openclaw Skills ecosystem.
Ads Data Query Assistant Use Cases
- Optimizing e-commerce revenue growth and ROAS on Meta and Shopify Ads.
- Stabilizing lead generation quality and CPL for Google Ads search campaigns.
- Executing cross-platform scale tests across TikTok Ads and YouTube Ads.
- Performing deep-funnel conversion analysis to identify traffic blockers.
- Generating automated daily or weekly advertising performance summaries for stakeholders.
How Ads Data Query Assistant Works
- Request Normalization: The skill analyzes the input text to confirm the primary business goal, such as sales, leads, or awareness.
- Input Validation: It checks for required data like campaign scope, timeline, and platform context, identifying any missing critical fields.
- Metric Extraction: Using advanced query translation, it identifies the exact metrics needed from platforms like Google Ads or Amazon Ads.
- Action Generation: It creates a prioritized list of next steps tied directly to the user's KPI targets.
- Risk Assessment: The skill applies guardrails to identify policy risks or data quality issues before recommending scale.
- Payload Emission: A structured handoff payload is generated to pass data to downstream execution or reporting skills.
Ads Data Query Assistant Setup
To integrate this capability into your agent workflow, install it via the CLI:
openclaw install ads-data-query-assistant
Ensure you have configured your environment variables with the necessary API credentials for the platforms you intend to query, such as Meta, Google Ads, and TikTok Ads. This allows Openclaw Skills to securely access your advertising data.
Ads Data Query Assistant Data Schema & Taxonomy
| Component | Description | Format |
|---|---|---|
| Intent Summary | Summary of goals, KPIs, and campaign scope | String |
| Findings | Key observations and performance assumptions | List |
| Action Plan | Prioritized steps for budget, bidding, or creative fixes | Markdown List |
| Risks | Detection of policy issues or budget constraints | List |
| Handoff Payload | JSON structure for downstream automation | JSON Object |
Ads Data Query Assistant Advanced Features
- Multi-channel budget split rationale for cross-platform campaigns.
- Automated compliance and account risk detection for high-scale environments.
- Support for DSP and Amazon Ads specialized metric extraction.
- Intelligent KPI inference when specific targets are not provided.
- Reversible low-risk action prioritization for high-uncertainty scenarios.
SKILL.md
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