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improve-prompt

Rewrite user prompts into structured instructions with explicit goals and constraints.

8|2|Updated Oct 29, 2025
Search Tags:#prompt engineering#AI assistant#clarification#structured output#instruction design#rewriting
One-click install
npx skills add https://github.com/cuipengfei/prompts --skill improve-prompt-cuipengfei
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: improve-prompt
Source: https://github.com/cuipengfei/prompts/tree/main/plugins/improve-prompt/skills/improve-prompt
Command: npx skills add https://github.com/cuipengfei/prompts --skill improve-prompt-cuipengfei

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The improve-prompt Skill helps you rewrite unclear or incomplete prompts into structured, context-rich instructions so an AI can follow them reliably without drifting or fabricating details.

Core Features & Use Cases

  • Intent-first restructuring: Restores the user’s real goal before rewriting and preserves the original target, scope, and constraints.
  • Missing-context handling: Identifies information gaps, separates what can be inferred from what must be explicitly specified, and asks at most one critical clarification question when needed.
  • Operational output specification: Adds execution requirements, output format, constraints, and an alignment checklist to prevent off-track results.
  • Use cases: Requirement drafting, specification refinement for agents, turning “do X” requests into step-by-step AI tasks, and improving prompt quality when the output direction often goes wrong.

Quick Start

Paste your original prompt and ask the AI to rewrite it into an enhanced version with explicit goals, inferred vs unspecified context, clear execution steps, strict constraints, and a verification checklist.

Frequently Asked Questions about improve-prompt

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I fix vague prompts that make my AI assistant generate off-track outputs?▼

To fix vague prompts, rewrite them into structured, context-rich instructions that restore the original goal, add execution requirements, and include an alignment checklist to prevent off-track outputs.

What is the best way to turn a simple request into step-by-step AI tasks?▼

The best way to turn a simple request into step-by-step AI tasks is through intent-first restructuring, which preserves your stated goal and constraints while adding explicit execution steps and output formats.

How do I handle missing context and information gaps when designing instructions for AI?▼

Handle missing context by separating inferable details from unspecified requirements, marking inferred details explicitly, and asking at most one highest-impact clarification question when necessary.

Why does my AI output drift or fabricate details during requirement drafting?▼

AI output drifts or fabricates details during requirement drafting due to ambiguous prompting, which you can solve by rewriting instructions into context-complete prompts with strict constraints and operational output specifications.

Can I use prompt rewriting to refine specifications for AI agents?▼

Yes, you can use prompt rewriting to refine specifications for agents by transforming vague intent into execution-ready instructions with clear goals, inferred versus unspecified context, and a verification section.

When should I not use automated prompt enhancement for my AI tasks?▼

You should avoid automated prompt enhancement when your original prompt already contains complete context, strict constraints, and a defined output format, as rewriting introduces unnecessary structural overhead.

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