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distill

Distill PDF, URL, or text into Q&A pairs stored in memory. Use --context for domain-focused extraction.

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grahama1970/fetcher
Last source activity
January 20, 2026 at 12:53
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English
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SKILL.md
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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 ```bash # 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 | Flag | Description | |------|-------------| | `--file` | PDF, markdown, or text file | | `--url` | URL to fetch and distill | | `--scope` | Memory scope (default: research) | | `--context` | Domain focus, e.g. "security expert" | | `--dry-run` | Preview without storing | | `--json` | JSON output | | `--sections-only` | Extract sections only (no Q&A) | ## 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 ```bash # 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) | Variable | Default | Description | |----------|---------|-------------| | `DISTILL_PDF_MODE` | fast | PDF mode: fast, accurate, auto | | `DISTILL_CONCURRENCY` | 6 | Parallel LLM requests | | `DISTILL_GROUNDING_THRESH` | 0.6 | Grounding similarity threshold | | `DISTILL_NO_GROUNDING` | - | Set to 1 to skip validation |
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