A specialized AI skill for identifying winning ad creatives, detecting fatigue, and generating data-driven testing matrices across major ad platforms.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install creative-performance-analyzer
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 creative-performance-analyzer 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 Creative Performance Analyzer?
The Creative Performance Analyzer is a robust technical skill designed for Openclaw Skills to bridge the gap between creative execution and business outcomes. It focuses on high-signal growth decisions involving revenue, ROAS, and CPA by analyzing performance data from Meta, TikTok, YouTube, and Google Ads. Unlike generic creative tools, this skill outputs actionable execution plans including next-test matrices and fatigue signal detection to ensure budget efficiency.
By integrating this skill into your workflow, you can automate the diagnostic process for advertising campaigns. It allows developers and growth teams to move beyond subjective creative reviews and instead rely on a structured approach that anchors every asset to specific funnel stages and KPIs. This ensures that every recommendation is platform-aware and tailored to the unique behavioral nuances of different inventory sources.
Creative Performance Analyzer Use Cases
- Detecting winning and losing creatives to optimize budget allocation.
- Identifying creative fatigue signals before performance plateaus.
- Generating fresh top-of-funnel hooks and angle families for cold audiences.
- Adapting single hero concepts into platform-specific formats for YouTube, TikTok, and Amazon Ads.
- Performing pre-launch creative scoring to prioritize launch candidates and ensure QA compliance.
How Creative Performance Analyzer Works
- The skill anchors the primary creative goal to a specific funnel stage and measurable KPI.
- It generates a comprehensive family of angles and hook variants based on the product offer and target audience.
- Each concept is mapped to specific placement format requirements (e.g., 9:16 video vs. 1:1 image) to meet platform specs.
- A detailed variant matrix and test order are defined to provide a roadmap for statistical validation.
- The process concludes with a quality and compliance checkpoint, adding stop-loss conditions to manage spend risk.
Creative Performance Analyzer Setup
To integrate the Creative Performance Analyzer into your Openclaw Skills environment, use the following steps:
# Install the creative analyzer capability
openclaw add skill creative-performance-analyzer
# Initialize the configuration with your target platforms
openclaw configure ads-scope --platforms meta,tiktok,google,amazon
Ensure you provide the required input contract fields: product_or_offer, target_audience, and placement_scope during the initial trigger.
Creative Performance Analyzer Data Schema & Taxonomy
The skill organizes its output into a structured format for easy integration with other Openclaw Skills tools. It uses a specific metadata taxonomy for creative assets:
| Component | Description |
|---|---|
| Angle | The primary narrative or psychological hook used |
| Hook Set | A library of initial frames or headlines to be tested |
| Asset Spec | Format requirements such as 9:16 or 1:1 |
| Variant Plan | A matrix defining variables like CTA, visual proof, or hook changes |
| QA Notes | Compliance and quality checkpoints for the creative |
All data is generated as actionable payloads, including creative IDs and placement-specific copy length adaptations.
Creative Performance Analyzer Advanced Features
- Multi-platform adaptation logic that prevents collapsing channel-specific strategies into generic plans.
- Automated rollback and stop-loss conditions for high-spend risk scenarios.
- Dynamic hook generation using problem-agitation-proof frameworks for cold traffic.
- Structured escalation payloads for high-risk issues like billing or tracking breakage.
- Frequency governance and audience control prioritization for DSP and programmatic workflows.
SKILL.md
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