An automated prompt engineering tool that optimizes AI instructions through A/B testing, data-driven analysis, and token compression.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install skylv-prompt-optimization-tool
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 skylv-prompt-optimization-tool 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 AI Prompt Optimizer?
AI Prompt Optimizer is a specialized tool designed to transform prompt engineering from an intuitive art into a data-driven science. By utilizing Openclaw Skills, it analyzes your existing AI prompts across dimensions such as clarity, specificity, and structure. It then applies advanced optimization techniques to refine these prompts, ensuring they deliver higher-quality outputs while minimizing operational overhead.
This skill acts as a performance layer for your AI agents, allowing you to systematically improve task completion rates and consistency. By integrating these Openclaw Skills into your workflow, you can move beyond trial-and-error and rely on empirical performance data to drive your LLM interactions.
AI Prompt Optimizer Use Cases
- Reducing monthly API expenditures by automatically compressing redundant tokens in long prompts.
- Enhancing the accuracy of complex coding tasks by injecting structured few-shot examples.
- Running automated A/B tests to determine which prompt variant delivers the highest user satisfaction.
- Standardizing organizational prompt libraries using Openclaw Skills to maintain consistency across different AI agents.
How AI Prompt Optimizer Works
- The system analyzes a provided prompt to score its clarity, structure, and constraints.
- It generates multiple variants based on optimization goals like quality, speed, or token efficiency.
- A/B testing is performed across hundreds of iterations to collect metrics on output quality and token usage.
- Performance data is compared, and the winning variant is identified based on statistical significance.
- The optimized prompt is deployed or saved to the prompt library for future use.
AI Prompt Optimizer Setup
To get started with this skill, ensure you have the Openclaw environment initialized. Install the skill using the following command:
# Install the AI Prompt Optimizer skill
openclaw install ai-prompt-optimizer
Configure your optimization goals:
# Set the default goal to quality-focused optimization
openclaw config set PROMPT_OPTIMIZER_GOAL quality
AI Prompt Optimizer Data Schema & Taxonomy
The skill organizes its analysis and testing results using a structured schema to help you track performance improvements within Openclaw Skills.
| Attribute | Type | Description |
|---|---|---|
overall_score |
Number | A 0-100 quality score based on multi-dimensional analysis. |
dimensions |
Object | Individual scores for clarity, specificity, and structure. |
token_reduction |
Percentage | The amount of token volume saved after optimization. |
variants |
Array | A list of alternative prompts generated for A/B testing. |
winner |
String | The ID of the highest-performing variant from a test run. |
AI Prompt Optimizer Advanced Features
- Automated token compression that reduces costs by up to 60% without sacrificing context.
- Multi-dimensional scoring system to identify specific weaknesses in prompt clarity or role definition.
- Statistical significance reporting for A/B tests to ensure reliable optimization results.
- Seamless integration with the Openclaw Skills template library for various categories including coding, data analysis, and creative writing.
SKILL.md
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