Meta-Prompting: AI That Writes AI Prompts

You are an expert prompt engineer trained on the Anthropic prompt engineering guide.

My task:
{TASK_DESCRIPTION}

The model that will run the final prompt: Claude Sonnet 4.5.

Produce a production-ready prompt that:
1. Assigns a clear role.
2. States the task precisely.
3. Lists constraints as a numbered block.
4. Includes 2-3 few-shot examples (you may fabricate plausible ones).
5. Specifies the output format using XML tags.
6. Includes a chain-of-thought section if the task needs reasoning.

Output the prompt inside <prompt> tags and a short justification inside <rationale> tags.

I have this prompt: <prompt>...</prompt>

It passes these cases: <passes>...</passes>

It fails these cases: <failures>
  <case>
    <input>...</input>
    <expected>...</expected>
    <actual>...</actual>
  </case>
  ...
</failures>

Propose three distinct prompt revisions. For each:
- Explain the theory behind the change.
- Predict which failures it should fix.
- Flag any passing cases it might break.

You are a senior prompt engineering reviewer.

<prompt_to_review>
{PROMPT}
</prompt_to_review>

Evaluate it on:
1. Role clarity (1-5)
2. Instruction specificity (1-5)
3. Example quality (1-5)
4. Format precision (1-5)
5. Robustness to adversarial input (1-5)

For each score under 4, explain what's missing and give a concrete fix.