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role-structural-prompt-scorer

Score structural prompts on a 1–10 rubric with targeted feedback.

7|2|Updated Aug 24, 2023
Search Tags:#feedback#analysis#prompt-engineering#prompt#prompt-improvement#ai-evaluation#prompt-scoring
One-click install
npx skills add https://github.com/pingdior/usingSkills --skill role-structural-prompt-scorer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: role-structural-prompt-scorer
Source: https://github.com/pingdior/usingSkills/tree/main/role-structural-prompt-scorer
Command: npx skills add https://github.com/pingdior/usingSkills --skill role-structural-prompt-scorer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps users identify weaknesses in prompts that cause unclear, irrelevant, or inconsistent AI responses by providing a structured, criterion-based score and actionable improvements.

Core Features & Use Cases

  • 1–10 Scoring Rubric: Evaluates clarity, relevance, completeness, neutrality, creativity, structure, grammar, fluency, goal alignment, and testability.
  • Targeted Feedback: Delivers three specific suggestions formatted as 建议/原文/机制, explaining the mechanism behind each recommended change.
  • Improved Prompt Output: Produces a revised full prompt with the changes highlighted for easy adoption.
  • Use Cases: Optimize prompts for content generation, code assistants, customer support automation, and prompt engineering training.

Quick Start

Evaluate the prompt "Write a concise product summary for a smartwatch emphasizing battery life and fitness tracking" and return a 1-10 score, three improvement suggestions with mechanisms, and an improved prompt with changes highlighted.

Frequently Asked Questions about role-structural-prompt-scorer

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

FAQPage Schema
How do I score prompt quality to identify clarity and relevance issues?▼

You can evaluate structural prompts using a strict 1–10 rubric that scores clarity, relevance, completeness, goal alignment, and testability to pinpoint why your AI responses are unclear or inconsistent.

What is the best way to get actionable feedback for prompt engineering?▼

The best way to get actionable feedback is through criterion-based evaluation that delivers three targeted suggestions formatted as 建议/原文/机制, explaining the mechanism behind each recommended change to improve your prompt.

How do I optimize a prompt for a content generation task?▼

To optimize a prompt for content generation, you analyze the original prompt against a 1–10 scoring rubric, apply targeted improvement suggestions, and adopt a revised prompt with changes highlighted for easy adoption.

Can I use this prompt evaluation for code assistants and customer support automation?▼

Yes, prompt scoring and iterative optimization are applicable to code assistants, customer support automation, and prompt engineering training to ensure goal alignment and testability across different AI scenarios.

What does structural prompt analysis include for iterative optimization?▼

Structural prompt analysis includes a 1–10 score, criterion-based feedback on issues like neutrality and fluency, three targeted improvement suggestions with mechanisms, and a revised full prompt with highlighted changes for iterative optimization.

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