improve-prompt

name	improve-prompt
user-invokable	true
argument-hint	<prompt text or file path containing the prompt to improve>
description	This skill should be used when the user asks to "improve a prompt", "make this prompt better", "optimize this prompt", "refine this system prompt", or wants to apply concept elevation to compress and clarify LLM instructions.

Improve Prompt Using Concept Elevation

Apply concept elevation to make prompts more concise, clear, and effective.

Concept Elevation

Concept elevation takes stock of disparate yet connected instructions in a prompt, then finds higher-level, clearer ways to express the sum of the ideas in a compressed form. This makes the LLM more adaptable to new situations instead of relying solely on specific examples or instructions.

Process

1. Decompose: Break the prompt into its core goals and concepts. Identify what each section is trying to achieve.

2. Group: Organize related concepts into clusters. Look for instructions that serve the same underlying purpose.

3. Elevate: For each group, find the single higher-level idea that captures the sum of the group's instructions. Iterate on candidate idea-sums until the optimal compression is found.

4. Synthesize: Combine the elevated concepts into a final prompt. Verify nothing was lost, then identify and fix any remaining redundancy or vagueness.

5. Validate: Compare the improved prompt against the original to confirm it preserves all intent while being more concise.

Formatting

Perform each step inside <well-named-xml-style> tags to make the reasoning auditable.

Quality Criteria

The improved prompt should be:

• More concise than the original (fewer tokens for the same intent)
• Clearer (less ambiguity, fewer edge cases left unaddressed)
• More adaptable (principles over rigid examples)
• Preserving of all original intent (nothing silently dropped)