Scientific Peer Review & Manuscript Evaluation FAQs

Question 1

Can I use this skill to improve my own research paper?

Accepted Answer

Absolutely. It is designed for both actual peer review and self-evaluation, helping you identify methodological gaps or reporting omissions before you submit to a journal.

Question 2

What reporting standards does this Claude Code skill support?

Accepted Answer

The skill helps verify compliance with major international guidelines including CONSORT (clinical trials), STROBE (observational studies), PRISMA (systematic reviews), and ARRIVE (animal research).

Question 3

Does it provide automated statistical analysis?

Accepted Answer

While it doesn't run the statistics itself, it provides a rigorous framework to evaluate whether your statistical assumptions, power analyses, and chosen tests are appropriate and correctly reported.

Question 4

Is this skill suitable for non-medical scientific disciplines?

Accepted Answer

Yes, while it includes medical reporting standards, the core methodology, ethics, and logic checks are applicable across all scientific disciplines including social sciences, engineering, and biology.

Question 5

How does the schematic generation feature work?

Accepted Answer

The skill integrates with scientific-schematics to generate publication-quality diagrams via Python scripts, allowing you to visualize workflows, experimental designs, or complex conceptual frameworks mentioned in your review.

Scientific Peer Review & Manuscript Evaluation

Scientific Peer Review & Manuscript Evaluation

主要功能

使用场景

主要功能

使用场景