What problem does it solve?
Researchers often struggle to turn verified results, figures, and lab notes into a coherent Nature-calibre manuscript without overclaiming or losing the argument thread. This Skill treats a paper as an auditable chain of claims and evidence, producing section drafts, titles, abstracts, and first-submission materials grounded only in the facts you provide.
Core Features & Use Cases
- Claim–Evidence Mapping: Builds an argument spine and evidence matrix so every major claim points to a specific figure, table, or dataset, with unsupported claims downgraded or flagged.
- Section-by-Section Drafting: Generates titles, abstracts, introductions, results, methods, discussions, and conclusions using dedicated blueprints, plus cover letters and submission packages.
- Structural Audit Script: Runs
scripts/manuscript_audit.py to detect unresolved placeholders, overclaiming language, missing sections, and overly long sentences before delivery.
- Use Case: You have verified experimental results and figures for a Nature Communications submission. Provide your evidence set, and the Skill produces a paste-ready manuscript draft with a paragraph map, calibrated claim strength, and a list of facts still needing author confirmation.
Quick Start
Use qinyan-nature-writing to draft the abstract and introduction of my Nature Communications manuscript from these verified results and figures.
