---

name: distill description: > Distill PDF, URL, or text into Q&A pairs stored in memory. Use --context for domain-focused extraction. allowed-tools: Bash, Read, WebFetch triggers:

• distill this
• distill this pdf
• distill this paper
• extract knowledge from
• remember this paper
• store this research
• learn from this document
• ingest this pdf metadata: short-description: Distill content into Q&A pairs for memory

---

Distill Skill

Distill PDF, URL, or text into Q&A pairs and store in memory.

Happy Path

Copy# Distill a PDF into memory
./run.sh --file paper.pdf --scope research

# With domain focus (recommended for better relevance)
./run.sh --file paper.pdf --scope research --context "ML researcher"

# Preview before storing
./run.sh --file paper.pdf --dry-run

# From URL
./run.sh --url https://example.com/article --scope web

Parameters

What It Does

1. Extract content from PDF/URL/text
2. Split into logical sections
3. Generate Q&A pairs via LLM
4. Validate answers are grounded in source
5. Store to memory via memory-agent learn

Examples

Copy# Research paper
./run.sh --file arxiv_paper.pdf --scope research --context "ML researcher"

# Technical documentation
./run.sh --file api_docs.md --scope project --context "backend developer"

# Just extract sections (no Q&A)
./run.sh --file paper.pdf --sections-only --json

Environment Variables (Optional Tuning)