Analyze scientific manuscripts and generate structured Markdown review files.
npx skills add https://github.com/sxg/science --skill review-sxg
Please help me install this Agent Skill. Skill: review Source: https://github.com/sxg/science/tree/main/plugins/reviewer/skills/review Command: npx skills add https://github.com/sxg/science --skill review-sxg
Review and critique scientific manuscripts to identify critical issues, provide detailed explanations, and generate actionable recommendations that improve quality and publication readiness.
Provide the path to a manuscript (PDF or Markdown) to review, for example: /review manuscript.pdf
High-intent search queries and answers about installing and using this skill.
To generate a structured peer review, provide the path to your scientific manuscript in PDF or Markdown format. The system analyzes the text to produce a final review Markdown file with detailed explanations and ranked issues.
Yes, you can automate parallel statistical and academic manuscript evaluations simultaneously. The workflow coordinates subagents to perform scholarly critiques, merges their findings, and ranks the identified issues by severity.
The best way to get actionable recommendations for a research preprint is to run an automated academic review. This process critiques the text to identify critical issues and outputs a clear Accept, Revise, or Reject recommendation.
Yes, the manuscript review output includes a final publication readiness decision. It generates a structured markdown manuscript review containing a clear recommendation to Accept, Revise, or Reject the document.
You can submit manuscripts in PDF or Markdown file formats for automated academic review. Providing the file path allows the system to extract content and produce a comprehensive, publication-ready critique.
Critical issues in an automated manuscript critique are ranked by severity. The system coordinates parallel statistical and academic evaluations, merges the findings from subagents, and organizes the issues in the final markdown output.
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