distill
Distill PDF, URL, or text into Q&A pairs stored in memory. Use --context for domain-focused extraction.
Quellinformationen
- Repository
- grahama1970/fetcher
- Letzte Quellaktivität
- 20. Januar 2026 um 12:53
- Erkannte Sprache von SKILL.md
- Englisch
- Sterne
- 2
- Forks
- 0
Installationsoptionen
Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.
Quelldateien prüfen
Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.
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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau- 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 |
Auf GitHub ansehen