name: qra
description: >
Extract Question-Reasoning-Answer pairs from text.
Use --context for domain-focused extraction.
Validates answers are grounded in source text.
allowed-tools: Bash, Read
triggers:
- extract QRA
- extract Q&A
- extract knowledge
- create Q&A pairs
- knowledge extraction
- generate questions from
metadata:
short-description: Extract grounded Q&A pairs from text

QRA Skill

Extract Question-Reasoning-Answer pairs from text and store in memory.

Happy Path

# Extract from text file
./run.sh --file document.md --scope research

# With domain focus (recommended)
./run.sh --file notes.txt --scope project --context "security expert"

# Preview before storing
./run.sh --file transcript.txt --dry-run

# From stdin
cat meeting_notes.txt | ./run.sh --scope meetings

Parameters

What It Does

1. Split text into logical sections
2. Extract Q&A pairs via LLM (parallel batch)
3. Validate answers are grounded in source
4. Store to memory via memory-agent learn

When to Use

• Text content (not PDFs - use distill for PDFs)
• Meeting transcripts
• Code documentation
• Notes and summaries
• Any plain text you want to remember

Examples

# Meeting transcript
./run.sh --file meeting.txt --scope team --context "project manager"

# Code documentation
./run.sh --file README.md --scope code --context "Python developer"

# From clipboard/pipe
pbpaste | ./run.sh --scope notes --dry-run

Environment Variables (Optional Tuning)