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enhancing-prompts

Analyze and enhance user prompts using PTCF framework and task classification.

4|1|Updated Feb 12, 2026
Search Tags:#code review#prompt engineering#content generation#ai optimization#task classification#prompt enhancement
One-click install
npx skills add https://github.com/0xHoneyJar/loa-hounfour --skill enhancing-prompts
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: enhancing-prompts
Source: https://github.com/0xHoneyJar/loa-hounfour/tree/main/.claude/skills/enhancing-prompts
Command: npx skills add https://github.com/0xHoneyJar/loa-hounfour --skill enhancing-prompts

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill addresses the challenge of crafting effective prompts that yield high-quality, relevant AI-generated responses by analyzing, classifying, and enhancing user prompts.

Core Features & Use Cases

  • Prompt Analysis: Evaluates prompts based on the PTCF framework (Persona, Task, Context, Format) and assigns a quality score.
  • Task Classification: Identifies the user's intent (e.g., debugging, code review, summarization) to select the most appropriate AI response template.
  • Automated Enhancement: Intelligently adds missing components like persona or format instructions to optimize the prompt.
  • Use Case: A user provides a vague prompt like "review the code." This Skill analyzes it, identifies missing context and format, classifies it as 'code_review', and enhances it to "As a senior software engineer conducting a thorough code review, review the code. Provide structured feedback with file and line references, severity level, and specific remediation steps."

Quick Start

Use the enhancing-prompts skill to improve the prompt 'write a blog post about AI'.

Frequently Asked Questions about enhancing-prompts

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

FAQPage Schema
How do I improve AI output quality for vague code review prompts?▼

Prompt enhancement analyzes vague inputs like 'review the code' and classifies the task to apply optimized templates. It adds missing persona, context, and format instructions to yield structured AI feedback with specific remediation steps.

What is the PTCF framework for prompt engineering?▼

The PTCF framework evaluates prompt quality by checking for Persona, Task, Context, and Format. Prompt enhancement uses this framework to assign a quality score and intelligently inject missing components to optimize AI generation tasks.

How do I optimize prompts for specific software engineering tasks like debugging and refactoring?▼

Task classification identifies user intent, categorizing prompts for debugging, code review, summarization, research, generation, or refactoring. It then applies optimized response templates tailored to the specific software engineering task.

Can I iteratively refine a prompt to get better AI generated content?▼

Iterative prompt refinement uses a feedback-driven loop to continuously improve prompt quality. Integrating with configuration settings, the enhancement process applies templates and refines inputs until the AI output meets desired standards.

Does automated prompt enhancement work for general content generation tasks?▼

Automated prompt enhancement works for general content generation by analyzing raw prompts and injecting missing structural components. It transforms a basic request like 'write a blog post about AI' into a detailed, structured instruction.

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