# Paperlab Book To Paper Extraction

> Extract publishable paper candidates from PaperLab books, including case studies, benchmark suites, review syntheses, workflows, and teaching datasets.

- Skill: `equinor/paperlab-book-to-paper-extraction` (Agent Skill)
- Install (CLI): `npx skillmds@latest add equinor/paperlab-book-to-paper-extraction`
- Raw SKILL.md: https://api.skillmd.com/api/skills/equinor/paperlab-book-to-paper-extraction/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: equinor (https://skillmd.com/u/equinor)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/equinor/paperlab-book-to-paper-extraction

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# PaperLab Book to Paper Extraction

## When to Use

USE WHEN: a mature book contains chapters, examples, or notebooks that could be
turned into standalone scientific papers.

## Candidate Types

- benchmark characterization paper,
- engineering application paper,
- methods tutorial with validation,
- review or perspective article,
- dataset or software note,
- reproducible teaching-lab paper.

## Readiness Checks

For each candidate, check:

- original contribution,
- evidence and benchmark depth,
- literature gap,
- target journal fit,
- missing validation,
- required new experiments,
- overlap risk with the source book.

## Output Schema

```json
{
  "candidates": [
    {
      "chapter": "ch08",
      "paper_type": "application",
      "novelty_angle": "validated workflow for compressor map screening",
      "missing_evidence": ["independent reference case"],
      "recommended_next_agent": "paper-planner"
    }
  ]
}
```

## Safety Rules

- Avoid duplicate publication unless the paper adds new synthesis or validation.
- Do not extract confidential case material into public manuscripts.
- Keep pedagogical conclusions separate from scientific novelty claims.