/optimize-prompt

/optimize-prompt - Optimize AI Prompt

Rewrite and optimize an AI prompt for better performance and reliability.

Steps

1. Read the original prompt and understand its intended purpose
2. Identify the target model and use case (chat, completion, function calling)
3. Restructure the prompt with clear sections: role, context, task, constraints, format
4. Rewrite ambiguous instructions with specific, measurable language
5. Add or improve output format specification with examples
6. Include edge case handling instructions
7. Add few-shot examples if the task benefits from them
8. Implement chain-of-thought reasoning for complex tasks
9. Add guardrails: what the model should not do, how to handle uncertainty
10. Optimize token usage: remove redundant words, consolidate instructions
11. A/B test the original vs optimized prompt with sample inputs
12. Present the optimized prompt with annotations explaining each change

Rules

• Preserve the original intent; do not change what the prompt is trying to achieve
• Use imperative language for instructions (do X, not "you should X")
• Place the most important instructions at the beginning and end of the prompt
• Use XML tags or markdown headers to separate prompt sections
• Include a fallback instruction for when the model cannot complete the task
• Test with adversarial inputs to verify robustness
• Keep the optimized prompt as concise as possible while maintaining effectiveness