prompt-engineering-expert
Advanced expert in prompt engineering, custom instructions design, and prompt optimization for AI agents
Why use this skill?
Master AI prompting with the Prompt Engineering Expert skill. Learn to design custom instructions, optimize system prompts, and debug agent performance.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/tomstools11/prompt-engineering-expertWhat This Skill Does
The prompt-engineering-expert skill transforms your OpenClaw agent into a sophisticated architect of AI interactions. By leveraging this tool, you gain access to a deep library of methodologies, ranging from fundamental prompt structuring to advanced strategies like chain-of-thought, few-shot prompting, and XML-tag framing. The skill is designed to bridge the gap between vague human intentions and high-precision machine outputs. It actively analyzes your existing prompts, identifies logical fallacies, recognizes anti-patterns that lead to model hallucinations, and provides iterative improvements to ensure your AI agents behave with consistent reliability.
Installation
To integrate this expert-level capability into your environment, run the following command in your terminal:
clawhub install openclaw/skills/skills/tomstools11/prompt-engineering-expert
Use Cases
- Prompt Debugging: When an agent consistently ignores instructions or fails at specific tasks, use this skill to diagnose and rewrite the faulty system prompts.
- Agent Personification: Designing detailed system instructions that force an agent to adopt a specific professional persona, tone, and constraint set.
- Complex Logic Implementation: Breaking down multi-step reasoning processes into manageable prompt segments using chain-of-thought techniques.
- Template Standardization: Creating reusable prompt blueprints for recurring tasks, such as code review, data summary, or customer support automation.
- Optimization: Refining lengthy prompts to save token counts while increasing the model's adherence to the core instruction set.
Example Prompts
- "Analyze this prompt [paste prompt here] and identify why the AI is hallucinating details. Suggest three improvements to make the output more grounded in facts."
- "Draft a system instruction set for a customer service agent that specializes in technical troubleshooting, using a professional but empathetic tone."
- "Convert this list of instructions into an XML-formatted prompt structure to improve the AI's adherence to task constraints."
Tips & Limitations
To get the best results, always provide the specific model or LLM you are targeting, as prompting techniques for Claude often differ from those optimized for other architectures. Remember that prompt engineering is an iterative process; the first version rarely achieves 100% perfection. Avoid over-engineering; keep your instructions as concise as possible while still maintaining sufficient context. Note that this skill provides guidance and structural design, but the actual output quality will still depend on the underlying model's capacity and the complexity of the data provided.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-tomstools11-prompt-engineering-expert": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
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