What does the Prompt Analyzer skill do?

It evaluates your natural language prompts for clarity and completeness, providing objective scores and recommendations to improve them before they are transformed into code.

Can I use this with other Claude Code skills?

Yes, it is specifically designed to be used as a pre-validation step before using skills like prompt-structurer, prompt-optimizer, or feature-dev-enhancement.

Why should I analyze my prompt before generating code?

Analyzing prompts identifies missing technical details and vague requirements early, which prevents implementation errors and reduces the time spent on manual revisions.

How does the scoring system work?

The skill uses three primary metrics on a 0-10 scale: Ambiguity (vague terms), Complexity (scope of effort), and Completeness (presence of technical details).

Does it automatically fix my prompt?

It identifies specific issues and provides actionable feedback. These recommendations can then be used to manually refine the prompt or passed to an optimizer skill.

Prompt Analyzer

Name: Prompt Analyzer
Author: EladAriel

byEladAriel

•

Productivity & Workflow

Evaluates and scores natural language requirements for clarity, complexity, and technical completeness before code implementation.

The Prompt Analyzer skill acts as a sophisticated quality gate for AI-assisted development by quantitatively assessing the readiness of user instructions. It identifies vague terminology, measures architectural complexity, and flags missing technical specifications such as security constraints or performance requirements. By delivering a detailed analysis report with actionable recommendations, this skill ensures that Claude receives high-quality, unambiguous inputs, significantly reducing hallucinations and minimizing the need for repetitive prompt iterations.

Key Features

01Quantitative scoring (0-10) for prompt complexity, clarity, and completeness

02Automated ambiguity detection for vague verbs and undefined project scopes

032 GitHub stars

04Detailed analysis reports with specific issues and actionable improvements

05Gap identification for security, performance, and integration constraints

06Seamless workflow integration with prompt optimization and structuring tools

Use Cases

01Validating complex multi-system feature requests before starting development

02Refining vague 'fix' or 'optimize' requests into actionable engineering tasks

03Ensuring non-functional requirements are addressed early in the prompt lifecycle

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add eladariel/pseudo-code-prompting-plugin prompt-analyzer

For use in Claude.ai and ChatGPT

Download Skill