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improve-prompt

Refines vague user requests into detailed instructions for AI code generation.

Updated Aug 27, 2026
Search Tags:#productivity#prompt engineering#code generation#workflow optimization#ai assistance#prompt improvement
One-click install
npx skills add https://github.com/darraghh1/my-claude-setup --skill improve-prompt-darraghh1
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: improve-prompt
Source: https://github.com/darraghh1/my-claude-setup/tree/main/.claude/skills/improve-prompt
Command: npx skills add https://github.com/darraghh1/my-claude-setup --skill improve-prompt-darraghh1

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill transforms unclear or incomplete user prompts into detailed, actionable instructions that are optimized for AI code generation within the project context.

Core Features & Use Cases

  • Prompt Refinement: Takes a rough idea and adds specific file paths, project patterns, acceptance criteria, and constraints.
  • Contextualization: Ensures prompts leverage project-specific conventions and knowledge.
  • Use Case: A user types "/improve-prompt add a login button". This Skill will output a detailed prompt specifying file locations, UI patterns, and authentication requirements for adding the button.

Quick Start

Use the improve-prompt skill to refine the idea 'add user profiles'.

Frequently Asked Questions about improve-prompt

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

FAQPage Schema
How do I refine a vague prompt for AI code generation?▼

Prompt refinement works by analyzing your codebase context and appending specific file paths, UI patterns, and constraints to your initial text. It turns minimal requests like adding a button into comprehensive instructions with authentication requirements.

What is prompt improvement for code generation workflows?▼

Prompt improvement contextualizes minimal requests by adding project-specific conventions and scope boundaries. For example, typing a request to add user profiles yields a detailed prompt specifying relevant file locations and required UI patterns.

How do I add project context and file paths to an AI prompt?▼

Adding project context involves using a tool to scan your codebase patterns and inject specific file paths into your request. This process ensures the output prompt includes detailed acceptance criteria and scope boundaries.

Can I specify acceptance criteria and constraints when generating code with AI?▼

Specifying acceptance criteria and constraints is achieved by enhancing your prompt with project-specific knowledge. The refinement process ensures your scope boundaries and constraints are explicitly defined for the AI.

What are the limitations of automated prompt improvement?▼

Automated prompt improvement is limited by its basic implementation depth, focusing on standard pattern recognition and file path injection. It requires existing project conventions to draw from and may miss nuanced architectural constraints.

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