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prompt-xray

Analyzes extracted_results to synthesize reusable prompt-design knowledge cards.

1.4k|212|Updated Jan 5, 2026
Search Tags:#knowledge#prompts#cross-domain#extract#prompt-analysis#reverse-engineer#design-rules
One-click install
npx skills add https://github.com/huangserva/skill-prompt-generator --skill prompt-xray
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prompt-xray
Source: https://github.com/huangserva/skill-prompt-generator/tree/main/.claude/skills/prompt-xray
Command: npx skills add https://github.com/huangserva/skill-prompt-generator --skill prompt-xray

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill decodes successful prompts to reveal the knowledge and rules that make prompts effective, turning opaque prompts into a transparent knowledge base.

Core Features & Use Cases

  • Knowledge extraction: analyze high-quality prompts to extract underlying design heuristics (color, layout, typography, content) and produce reusable patterns.
  • Cross-domain analysis: identify how domain cues affect results and synthesize general rules applicable across projects.
  • Use case / Quick-start style: Given a set of top prompts, derive design rules and save as knowledge cards for reuse.

Quick Start

Use the prompt-xray skill to analyze the extracted_results folder and generate knowledge cards for color, layout, typography, and content.

Frequently Asked Questions about prompt-xray

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

FAQPage Schema
How do I reverse engineer a prompt to extract its design rules?▼

To reverse engineer a prompt, you analyze its text to identify modules like color_scheme, layout, and typography, then synthesize these elements into reusable knowledge cards for future design decisions.

What is prompt analysis and how does it help build a knowledge base?▼

Prompt analysis decodes successful prompts to extract underlying design heuristics and cross-domain rules, transforming opaque prompt text into a transparent, structured knowledge base for reuse.

How do I extract cross-domain patterns from top prompts?▼

You extract cross-domain patterns by analyzing top prompts to identify how domain cues affect results, then synthesizing these observations into general rules applicable across multiple projects.

Can I analyze extracted_results to generate reusable knowledge cards?▼

Yes, you can analyze the extracted_results folder to identify prompt modules such as constraints and typography, automatically generating structured knowledge cards for reuse in prompt design.

What is the best way to identify underlying prompt patterns for color and layout?▼

The best way to identify prompt patterns is to scan prompt text for specific design modules like color_scheme and layout, then synthesize these actionable patterns into structured knowledge cards.

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