Prompt Engineering Expert
Advanced expert in prompt engineering, custom instructions design, and prompt optimization for AI agents
TomsTools
@tomstools11
What This Skill Does
Provides expert guidance on prompt engineering, custom instructions design, and prompt optimization for AI agents. Covers best practices, advanced techniques like chain-of-thought and few-shot prompting, evaluation methods, and anti-pattern recognition.
Replaces trial-and-error prompt development with structured, expert-level guidance for crafting effective AI prompts and agent instructions.
When to Use It
- Refine a vague or underperforming prompt for an AI agent
- Design custom system instructions for a specialized domain agent
- Optimize an existing prompt for consistency and reliability
- Debug prompt performance issues using structured evaluation criteria
- Create reusable prompt templates for common workflows
- Learn advanced techniques like chain-of-thought or role-based prompting
Install
$ openclaw skills install @tomstools11/prompt-engineering-expertPrompt Engineering Expert Skill
This skill equips Claude with deep expertise in prompt engineering, custom instructions design, and prompt optimization. It provides comprehensive guidance on crafting effective AI prompts, designing agent instructions, and iteratively improving prompt performance.
Capabilities
- Prompt Writing Best Practices: Expert guidance on clear, direct prompts with proper structure and formatting
- Custom Instructions Design: Creating effective system prompts and custom instructions for AI agents
- Prompt Optimization: Analyzing, refining, and improving existing prompts for better performance
- Advanced Techniques: Chain-of-thought prompting, few-shot examples, XML tags, role-based prompting
- Evaluation & Testing: Developing test cases and success criteria for prompt evaluation
- Anti-patterns Recognition: Identifying and correcting common prompt engineering mistakes
- Context Management: Optimizing token usage and context window management
- Multimodal Prompting: Guidance on vision, embeddings, and file-based prompts
Use Cases
- Refining vague or ineffective prompts
- Creating specialized system prompts for specific domains
- Designing custom instructions for AI agents and skills
- Optimizing prompts for consistency and reliability
- Teaching prompt engineering best practices
- Debugging prompt performance issues
- Creating prompt templates for reusable workflows
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