doc-to-qra

Community

Convert documents to in-memory QRA pairs.

Authorgrahama1970
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Convert documents into QRA pairs stored in memory to enable quick knowledge capture and reasoning without persisting data.

Core Features & Use Cases

  • In-memory QRA generation: Convert PDFs, URLs, and text into Question-Reasoning-Answer triplets that can be queried in memory.
  • Flexible input handling: Accepts local files or web URLs and stores results under a defined memory scope.
  • Use Case: Researchers can rapidly generate QRAs from source documents to support literature reviews, summaries, and domain-focused QA tasks.

Quick Start

Run the script with a document and a memory scope to generate and store QRA pairs in memory.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: doc-to-qra
Download link: https://github.com/grahama1970/fetcher/archive/main.zip#doc-to-qra

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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