An expert performance creative skill for generating, iterating, and scaling platform-specific ad copy and visuals.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install abm-ad-creative
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 abm-ad-creative 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 Ad Creative AI Strategy & Generation?
This Openclaw Skills module empowers developers and marketers to produce high-converting ad creative at scale. By leveraging product marketing context and brand voice guides, the skill automates the generation of headlines, descriptions, and primary text tailored for major platforms like Google Ads, Meta, and LinkedIn. It focuses on performance-driven results, allowing for rapid iteration based on real-world data to ensure every ad variant drives maximum ROI.
Built as a specialized framework within Openclaw Skills, it bridges the gap between raw marketing data and creative execution. Whether starting from scratch or iterating on existing campaigns, the skill ensures that every piece of creative is mathematically aligned with platform constraints and psychologically optimized for the target audience's stage of awareness.
Ad Creative AI Strategy & Generation Use Cases
- Scaling ad copy variations for Google Responsive Search Ads (RSA) to maximize optimization potential.
- Iterating on existing Meta or LinkedIn ads using historical performance data to identify and double down on winning patterns.
- Generating platform-compliant headlines and descriptions that strictly adhere to character limits to prevent truncation.
- Developing diverse creative angles for TikTok and Twitter/X campaigns based on specific audience pain points.
How Ad Creative AI Strategy & Generation Works
- Context Gathering: The skill automatically searches for product-marketing-context.md or brand-voice-guide.md to align with the brand's unique identity.
- Platform Selection: Users specify the target platform (e.g., Google, Meta, TikTok) to trigger specific character limits and formatting requirements.
- Strategic Angle Definition: The skill establishes 3-5 distinct creative angles, such as social proof, pain points, or urgency, to ensure variety.
- Multi-Variant Generation: Multiple copy variations are generated for each angle, testing different tones, structures, and specificities.
- Validation & Export: The output is validated against platform specs and delivered in structured formats or CSVs for direct upload to ad managers.
Ad Creative AI Strategy & Generation Setup
To get started with this skill within the Openclaw Skills ecosystem, ensure your marketing context is available:
# Create or update your marketing context file
touch .agents/product-marketing-context.md
# (Optional) If iterating, pull performance data via integrated CLIs
node tools/clis/google-ads.js reports get --type ad_performance --date-range last_30_days
Ad Creative AI Strategy & Generation Data Schema & Taxonomy
The skill organizes creative output and metadata using the following structures:
| Component | Details |
|---|---|
| Platform Specs | Strict character limits (e.g., 30 for Google headlines, 90 for descriptions). |
| Iteration Log | A markdown summary of round numbers, winning patterns, and retired angles. |
| Angle Categories | Classification of creative by intent (Pain Point, Social Proof, Urgency, etc.). |
| Bulk CSV Format | Standardized headers: headline_1, headline_2, description_1, platform. |
Ad Creative AI Strategy & Generation Advanced Features
- Performance Data Analysis: Automatically identifies winning themes and structural patterns from CSV or API-derived performance metrics.
- Scaled Production Workflows: Supports wave-based generation to produce over 100 unique variations in a single cycle.
- Generative Visual Integration: Guides the use of tools like Flux, Ideogram, and Sora for AI-driven image and video ad production.
- Code-Based Video Scaling: Instructions for using Remotion to automate the creation of data-driven video templates based on winning copy.
SKILL.md
Loading
Related Openclaw Skills
Forgetting Curve
An independent Ebbinghaus forgetting curve module providing standardized memory decay calculations and spaced repetition scheduling for AI agents.
Brand Visual Generator
A comprehensive design system engine that establishes typography, color palettes, and spatial systems for consistent brand presentation across web and print.
Docs Logger
A cloud-native logging skill that automatically organizes and appends daily activity logs to Google Docs via the PortEden CLI.
Travel Deal Finder
An AI-powered travel agent that automates real-time price comparisons and credit card point optimization for global travel.
Apple Media Control
An integrated macOS automation tool for discovering and managing Apple media devices, HomePods, and AirPlay speakers via pyatv and Airfoil.
Issue Reproducer
A specialized AI agent skill designed to synthesize bug descriptions into structured, actionable reproduction reports and minimal reproduction conditions.
Featured*
