prompt-enhancer

Analyze project context to generate structured requirement documents for development requests.

Updated Nov 10, 2025
One-click install
npx skills add https://github.com/SwiftyJunnos/Claude-Code-with-TDD --skill prompt-enhancer-swiftyjunnos
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prompt-enhancer
Source: https://github.com/SwiftyJunnos/Claude-Code-with-TDD/tree/main/.claude/skills/prompt-enhancer
Command: npx skills add https://github.com/SwiftyJunnos/Claude-Code-with-TDD --skill prompt-enhancer-swiftyjunnos

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill transforms vague user requests into detailed, actionable requirements by analyzing the project's context, ensuring clarity and accuracy before development begins.

Core Features & Use Cases

  • Contextual Analysis: Understands project structure, stack, and conventions.
  • Requirement Generation: Creates structured, detailed requirements documents.
  • Use Case: A user asks "Build a login feature." This Skill analyzes the existing Flutter project and generates a comprehensive requirement document detailing UI, state management, API calls, and testing criteria specific to that project.

Quick Start

Use the prompt enhancer skill to refine the request 'Create a user profile page'.

Frequently Asked Questions about prompt-enhancer

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

FAQPage Schema
How do I generate context-aware prompts for LLM-assisted development?

To generate context-aware prompts for LLM-assisted development, you provide a brief request like 'Create a user profile page.' The prompt enhancer analyzes your project's code structure, technology stack, and conventions to build a structured requirement document.

What is prompt contextualization for software engineering?

Prompt contextualization for software engineering is the process of analyzing your project's existing code patterns, dependencies, and architecture to transform vague development requests into detailed, actionable requirement documents.

How do I turn a brief feature request into a detailed requirement document?

You can turn a brief feature request into a detailed requirement document by processing it through the prompt enhancer, which gathers key information about your project's stack, architecture, and conventions to output a structured specification for user confirmation.

Does prompt contextualization work with any technology stack?

Prompt contextualization works by analyzing your specific project context, meaning it adapts to whatever technology stack, architecture, and dependencies are already present in your codebase to generate accurate requirements.

When should I use context-aware prompt generation for coding?

You should use context-aware prompt generation when you provide brief development requests that require project-specific context for accurate implementation, ensuring clarity and accuracy before LLM-assisted development begins.