A specialized skill for designing, debugging, and optimizing high-performance prompts and custom instructions for AI agents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install prompt-expert
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 prompt-expert 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 Prompt Expert?
The Prompt Expert skill provides a comprehensive framework for prompt engineering, enabling developers to craft precise, reliable, and efficient instructions for AI models. It leverages advanced techniques like Chain-of-Thought (CoT), few-shot prompting, and XML tagging to improve model adherence and output quality.
By using these Openclaw Skills, you can move beyond basic chat interactions to create sophisticated, role-based system prompts and behavioral boundaries. This skill is essential for anyone looking to reduce hallucinations, manage complex context windows, and ensure consistent agent performance across diverse technical domains.
Prompt Expert Use Cases
- Refining vague or weak prompts to improve response accuracy and technical depth.
- Designing specialized system prompts and custom instructions for new AI agent skills.
- Debugging inconsistent model behavior or response formatting through structural refinement.
- Creating reusable prompt templates and evaluation frameworks for enterprise-scale deployments.
- Implementing advanced patterns like prefilling and XML-delimited context management.
How Prompt Expert Works
- Analyze the existing prompt or task requirement to identify gaps in clarity, structure, or directness.
- Apply architectural patterns such as Role-Context-Task or structural hierarchy to organize input.
- Incorporate advanced logic like Chain-of-Thought (CoT) or few-shot examples to guide the model reasoning.
- Iteratively refine the prompt using performance analysis and A/B-style variant testing.
- Finalize the behavioral boundaries and documentation within the Openclaw Skills ecosystem for deployment.
Prompt Expert Setup
To integrate this skill into your workflow, ensure your environment is configured to handle local skill definitions.
# Navigate to your agent project directory
cd my-ai-agent
# Clone or download the prompt-expert skill
git clone https://github.com/openclaw/prompt-expert.git skills/prompt-expert
# The agent will now recognize prompt-expert capabilities for optimization tasks
Prompt Expert Data Schema & Taxonomy
The skill organizes prompt engineering assets through a structured directory of guides and templates as part of the Openclaw Skills architecture.
| File Path | Purpose |
|---|---|
SKILL.md |
Core definition, expertise areas, and capability mapping. |
docs/GUIDE.md |
Deep-dive principles, advanced techniques, and troubleshooting check-lists. |
examples/EXAMPLES.md |
A curated library of production-ready templates and few-shot examples. |
Prompt Expert Advanced Features
- Anti-pattern Detection: Specialized guidance for identifying context leakage and injection-style risks.
- Multimodal Optimization: Advanced prompting strategies for Vision, PDF parsing, and complex file embeddings.
- Tool-use Architectures: Instructions optimized specifically for agents that interact with external APIs and functions.
- Token Efficiency: Patterns designed to maximize performance while minimizing context window consumption.
SKILL.md
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