Parse NSFC review comments and generate six-section revision reports with literature-backed edits.
npx skills add https://github.com/jinyh/nsfc-review --skill nsfc-i2-revision
Please help me install this Agent Skill. Skill: nsfc_i2_revision Source: https://github.com/jinyh/nsfc-review/tree/main Command: npx skills add https://github.com/jinyh/nsfc-review --skill nsfc-i2-revision
This Skill interprets NSFC review comments and converts them into precise, revision-ready actions, reducing turnaround time and improving submission quality.
Provide the review comments file, and run the skill to generate the structured revision report.
High-intent search queries and answers about installing and using this skill.
To turn NSFC review comments into a structured revision plan, provide the review notes file to parse criticisms and generate concrete edits. The system produces a six-section revision report with issue diagnoses, modification details, reply templates, and a literature appendix.
Yes, you can use AI to generate revision proposals for interdisciplinary NSFC grants. The system applies to AI+ reviews across physics, chemistry, biology, earth science, materials, energy, and environment, retrieving supporting literature to justify each suggested change.
The best way to categorize criticisms from multi-expert grant reviews is by applying a standard problem taxonomy. The system parses Markdown or PDF review notes to categorize criticisms, suggestions, and affirmations, then generates literature-backed justifications for your revisions.
Yes, the generated revision report includes literature references for the proposed edits. It outputs a structured revision report with an appendixed literature summary for traceability, ensuring each suggested modification is backed by retrieved supporting literature.
To format reply templates for NSFC grant reviewers, parse the review comments to generate polite response templates addressing diagnosed issues. The system creates targeted revision proposals with specific edits and literature-backed justifications to include in your reviewer replies.
dynatrace-ossReview pull request diffs and comments to generate a structured review brief.
huangwb8Validate and update NSFC BibTeX entries with verified metadata.
qinyan-aiGenerate competing scientific hypotheses with mechanisms, predictions, and experimental designs.
Victory-HugoEvaluate scientific literature methodology, biases, and evidence quality.
