skills.rest
whmathews15
whmathews15COMMUNITY
Explore all skills by this author →
GitHub

xray

Trace files, tools, and decision points behind an AI conversation.

1|Updated Jun 28, 2026
Search Tags:#education#claude#context-window#dex#session-memory#xray#ai-transparency
One-click install
npx skills add https://github.com/whmathews15/DEX-Personal-Operating-System --skill xray-whmathews15
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: xray
Source: https://github.com/whmathews15/DEX-Personal-Operating-System/tree/main/.claude/skills/xray
Command: npx skills add https://github.com/whmathews15/DEX-Personal-Operating-System --skill xray-whmathews15

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill explains the hidden context, tools, and files behind an AI conversation so you can understand why a response happened and what information was available.

Core Features & Use Cases

  • Conversation Forensics: Reconstructs the steps taken in the current chat, including files read, tools used, and key reasoning points.
  • AI Education: Teaches fundamentals such as context windows, session memory, tools, and system prompts through real examples.
  • Dex Deep Dives: Explains Dex architecture, boot flow, and extension patterns for users who want to customize the system.
  • Use Case: If you ask why the assistant answered a certain way, this Skill can break down the exact workflow and connect it to the underlying AI concepts.

Quick Start

Ask the xray skill to explain what happened in this conversation and why the assistant responded the way it did.

Frequently Asked Questions about xray

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

FAQPage Schema
How can I trace the hidden execution context behind an AI conversation?▼

To trace hidden execution context, you can use conversation forensics to reconstruct steps taken in a chat, including files read, tools used, and key reasoning points. This process explains exactly why a specific response happened.

How do I analyze what files and tools an AI assistant used during a session?▼

You can analyze files and tools used by accessing the current conversation state, loaded files, tool results, and session-memory signals. This produces an accurate educational trace of the workflow.

What are context windows and session memory in AI and how do they affect responses?▼

Context windows and session memory are AI fundamentals that determine what information is available during a conversation. Analyzing these elements through real examples teaches how underlying system prompts and tools shape outputs.

Does AI transparency tracing require access to loaded files and tool results?▼

Yes, AI transparency tracing requires access to the current conversation state, loaded files, tool results, and session-memory signals to accurately reconstruct the decision points and produce a reliable educational trace.

What is the best way to understand Dex architecture and boot flow for system customization?▼

The best way to understand Dex architecture is through deep dives that explain the boot flow and extension patterns. This connects system customization concepts to real conversation examples for practical learning.

Why does the AI assistant respond differently based on the same prompt, and how can I break down the workflow?▼

The AI assistant responds differently due to varying hidden context, loaded files, and session memory. Breaking down the workflow connects the exact steps taken to the underlying AI concepts and decision points.

Related Skills

Explore More Education & Research Skills→
ToowireddToowiredd
33

session-launcher

Locate project context files, load memory indexes, and emit an HTML session dashboard.

Community
Intermediate
DavidsonGomesDavidsonGomes

evo-create-architecture

Generate architecture decisions for AI agents, memory, prompts, and orchestration.

Community
Advanced
sky770825sky770825

ContextGuard

Monitor LLM context window token usage and suggest compaction strategies.

Community
Intermediate
ksmeltzerksmeltzer
3

ARC-7

Convene seven AI personas to review system designs and generate architectural reports.

Community
Advanced