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qra

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Extract grounded QRA pairs from text.

Data & Analytics#memory#NLP#prompt-engineering#knowledge-extraction#text-analysis#qra#ground-truthing
Authorgrahama1970
Version1.0.0
Installs0

System Documentation

What problem does it solve?

QRA enables automatic extraction of grounded question–reasoning–answer pairs from plain text, reducing manual curation and ensuring answers are anchored in source material.

Core Features & Use Cases

  • Split text into logical sections for targeted extraction.
  • Extract QRA items via LLM with domain-context support to tailor results.
  • Grounding validation to ensure answers are backed by source content; supports fallback heuristics.
  • Store to memory to enable retrieval and downstream workflows.

Quick Start

Run the QRA pipeline on a text file using the run script with an optional domain context to focus extraction.

Dependency Matrix

Required Modules

None required

Components

Standard package

đź’» Claude Code Installation

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

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