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prompt-enhancer

Transform vague prompts into concise, structured XML-formatted instructions.

Updated Jan 28, 2026
Search Tags:#optimization#structure#enhancement#remapping#prompt#token-efficiency
One-click install
npx skills add https://github.com/brixtonpham/claude-config --skill prompt-enhancer-brixtonpham
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prompt-enhancer
Source: https://github.com/brixtonpham/claude-config/tree/main/skills/prompt-enhancer
Command: npx skills add https://github.com/brixtonpham/claude-config --skill prompt-enhancer-brixtonpham

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Prompt clarity and efficiency: transforming vague prompts into concise, structured instructions that improve accuracy, reduce tokens, and ensure backward compatibility.

Core Features & Use Cases

  • Prompt enhancement and optimization for clarity, structure, and precision
  • Token-efficient rewrites using XML-style formats to improve parseability
  • Backward-compatible output with server-side remapping
  • Example use case: refactor a long, unclear instruction into a compact, production-ready prompt for an AI agent or automation pipeline

Quick Start

Provide a concise, production-ready version of a given prompt.

Frequently Asked Questions about prompt-enhancer

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

FAQPage Schema
How do I make verbose prompts more concise and token-efficient?▼

To make verbose prompts more concise and token-efficient, transform user input into structured instructions using XML-style formats. This reduces overall token usage while improving output parseability for AI agents and automation workflows.

What is prompt remapping and when do I need it for backward compatibility?▼

Prompt remapping is a server-side technique that maintains backward compatibility when transforming vague prompts into structured formats. You need it when updating prompt schemas to ensure existing automation pipelines continue functioning without breaking.

Can I use XML tagging in prompts to improve parsing in automation workflows?▼

Yes, you can apply optional XML tagging in prompts to support easy parsing in automation workflows. This format improves parseability by AI agents and ensures consistent formatting across both interactive and batch scenarios.

What is the best way to structure vague domain-specific prompts for AI agents?▼

The best way to structure vague domain-specific prompts is to refactor them into compact, production-ready instructions. This enhances clarity, precision, and structure while ensuring consistent formatting for reliable AI agent execution.

Why does my long instruction prompt fail to produce consistent results in batch scenarios?▼

Long instruction prompts fail in batch scenarios due to lack of structure and token bloat. Transforming them into concise, XML-style structured instructions ensures consistent formatting and reduces token inefficiency across batch processing.

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