prompt-improver

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Optimize prompts for better AI responses. Use when user asks to improve a prompt, refine a prompt, make a prompt better, optimize prompting, "Aristotelian", "first principles", or "proof-based" , review their prompt, or says "/improve-prompt". Transforms vague requests into clear, specific, actionable, logic-based prompts.

ndpvt-web By ndpvt-web schedule Updated 5/15/2026

name: prompt-improver description: Optimize prompts for better AI responses. Use when user asks to improve a prompt, refine a prompt, make a prompt better, optimize prompting, "Aristotelian", "first principles", or "proof-based" , review their prompt, or says "/improve-prompt". Transforms vague requests into clear, specific, actionable, logic-based prompts.

Prompt Improver

Transform vague prompts into clear, specific, actionable ones for better AI responses.

Workflow

  1. Gather context - Use AskUserQuestion as many times as needed to resolve any doubts or assumptions

  2. Analyze - Identify what's unclear, missing, or ambiguous

  3. Improve - Apply the Aristotelian framework

  4. Present - Show improved prompt with key changes explained

  5. Refine - Ask if user wants adjustments

Aristotelian Mode (First Principles)

Always actived. produce a prompt that instructs the receiving LLM to reason from first principles when executing the task.

The prompt-improver does NOT do the Aristotelian reasoning itself. It crafts a prompt that tells the LLM to:

  1. Gather context from user - Ask what system capabilities, tools, and constraints exist. Bake known context (root access, AI model, available tools, domain) directly into the prompt as given axioms.

  2. Embed the reasoning directive - The improved prompt tells the LLM to:

    • Identify the atomic, irreducible truths of the task before acting
    • Interrogate each truth: "Can this be decomposed further? If removed, does the task break? Does it contradict anything?"
    • Discard anything that is not strictly necessary
    • Build the solution deductively, where every action traces to a stated axiom
    • Verify the result against the axioms at the end
  3. Structure the output prompt with these sections:

    REASONING DIRECTIVE: [Instruct the LLM to use first-principles reasoning]
    GIVEN AXIOMS: [Known truths about system, capabilities, domain -- baked in]
    TASK: [What to accomplish]
    METHOD: [Tell LLM to discover task-specific axioms, interrogate them, then build deductively]
    VERIFICATION: [Tell LLM to check its result against its axioms]
    

Output format for Aristotelian mode:

## Analysis
[What context was embedded and why]

## Improved Prompt (Aristotelian)
[The complete prompt with reasoning directive, given axioms, task, method, and verification]

## What This Prompt Does
- Tells the LLM to [specific reasoning behavior]
- Bakes in [specific context] so the LLM does not hallucinate it

See references/aristotelian.md for the full methodology and prompt structure.

References

  • Aristotelian mode: See references/aristotelian.md for the proof-based first principles methodology
  • Examples: See references/examples.md for before/after transformations
  • Anti-patterns: See references/anti-patterns.md for common issues to fix
  • Framework details: See references/framework.md for the 6-principle improvement framework
Install via CLI
npx skills add https://github.com/ndpvt-web/prompt-improver --skill prompt-improver
Repository Details
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