request-analyzer

Analyze user requests to score clarity, specificity, and completeness and recommend skill activations.

662|124|Updated Oct 31, 2025
One-click install
npx skills add https://github.com/staruhub/ClaudeSkills --skill request-analyzer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: request-analyzer
Source: https://github.com/staruhub/ClaudeSkills/tree/main/skills/request-analyzer
Command: npx skills add https://github.com/staruhub/ClaudeSkills --skill request-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It proactively analyzes user requests at the start of conversations to assess clarity, specificity, and completeness, guiding the best-suited skills to activate for optimal results.

Core Features & Use Cases

  • Prompt quality scoring: evaluates clarity, specificity, completeness.
  • Task type identification: classifies requests into types (Code, Design, Analysis, etc.).
  • Skill recommendation: suggests activating UI/UX or component-generation skills as appropriate.

Quick Start

Paste a user request. I will score it and recommend the best skill activations.

Frequently Asked Questions about request-analyzer

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

FAQPage Schema
How do I analyze user requests to determine the right skill or tool to activate?

Request analysis evaluates incoming prompts for clarity, specificity, and completeness, then classifies the task type and recommends which specialized skills—such as UI analyzers or component generators—should activate for optimal results.

What does a prompt quality score measure and how is it calculated?

Prompt quality scoring assesses three dimensions: clarity (how well the intent is expressed), specificity (level of detail provided), and completeness (whether all necessary context is included), each rated 0–100% to guide skill activation.

Can I use request analysis to route coding, design, and UI tasks to different tools?

Yes. Request analysis classifies tasks into defined categories—Code, Design, Analysis, UI, and others—then outputs actionable guidance to activate the most suitable downstream skills based on task type and request quality.

What happens if a user request lacks clarity or specificity?

The analyzer scores low clarity or specificity and recommends activating the prompt-optimizer skill to refine the request before routing to specialized tools, improving downstream task execution.

How does request analysis decide between activating UI-analyzer versus react-component-generator?

Analysis evaluates request scope and specificity: UI-analyzer activates for design evaluation tasks, while react-component-generator activates for requests with sufficient detail to generate code directly.