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Prompt improvement

Skill ntaffzii/Skill-Agents/skills/productivity/prompt-improvement

Personal AI-agent skills, workflows, prompts, and setup guides for local LLMs and MCP-powered assistants.

Install
npx -y skills add ntaffzii/Skill-Agents --skill prompt-improvement

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What its author says it does

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Improve vague, incomplete, ambiguous, risky, or poorly structured prompts into clear executable prompts for AI agents, coding assistants, automations, reports, research, or model-specific workflows. Use when the user asks to rewrite, clarify, optimize, score, translate, structure, or improve a prompt.

SKILL.md

2.0 KB, as published. Nobody here has run it

Prompt Improvement

Turn rough intent into a clear prompt without changing what the user asked for.

Core Principle

Preserve explicit intent. Add assumptions only when labeled.

Workflow

  1. Classify the problem

    • Identify whether the prompt is vague, ambiguous, overbroad, missing inputs, missing output format, missing audience, risky, or already good enough.

  2. Extract intent

    • Separate explicit requirements, inferred goals, missing information, assumptions, constraints, and risks.
    • Do not invent requirements.

  3. Decide whether to ask or rewrite

    • Ask 1 to 3 concise questions only when missing information changes the correct outcome.
    • Proceed with assumptions for low-risk drafting, brainstorming, research, reports, templates, and clear-enough tasks.

  4. Rewrite

    • Make the task executable.
    • Add context, requirements, process, output format, quality rules, and language guidance only when useful.
    • Keep identifiers, file paths, commands, schema keys, model IDs, and API names unchanged.

  5. Check fidelity

    • Confirm the rewrite preserves the user's request.
    • Remove hidden goals.
    • Mark assumptions and open questions clearly.

Default Output

## Improved Prompt

```text
[Prompt ready to use]

What Changed

Assumptions

Questions


## Reusable Prompt Skeleton

```text
Role:

Task:

Context:

Requirements:

Process:

Output Format:

Quality Rules:

Language And Tone:

Rules

  • Respond in the user's language.
  • Keep reusable model-facing prompt text in English when it improves portability.
  • Do not make prompts longer unless the added structure improves execution.
  • Do not remove explicit constraints.
  • Do not convert uncertainty into fact.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.