一键导入
review-response
Use when the user wants to draft structured responses to peer review comments, supported by evidence and relevant literature.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
菜单
Use when the user wants to draft structured responses to peer review comments, supported by evidence and relevant literature.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Use when the user wants to monitor arXiv for new papers by topic or author and produce a ranked digest of relevant preprints.
Use when the user wants to identify open research gaps, unresolved questions, or methodological blind spots across a literature corpus.
Use when the user wants to query Semantic Scholar for paper metadata, citations, references, author profiles, or semantic literature search results.
Use when the user wants to draft or revise a paper, conference, or journal abstract for a specific audience, structure, or word limit.
Use when the user wants to generate citation-aware manuscript sections or full research drafts grounded in the team's literature base.
Use when the user wants to draft concise conference rebuttals under response-period constraints and prioritize which reviewer concerns to address.
| name | review-response |
| description | Use when the user wants to draft structured responses to peer review comments, supported by evidence and relevant literature. |
Drafts structured, evidence-backed responses to peer reviewer comments. Grounds rebuttals in the team's literature base, surfaces relevant papers to cite in response, and calibrates tone appropriately — firm where warranted, concise throughout.
review_response.draft(
reviewer_comments="[paste full review here]",
manuscript_abstract="[paste abstract]",
corpus=review.get_papers(),
tone="firm_but_respectful",
include_literature_search=True
)
review_response.triage(
reviewer_comments="[paste full review]",
output=["category", "effort_estimate", "recommended_strategy"]
)
review_response.find_supporting_literature(
concern="The authors do not address out-of-distribution generalization",
corpus=review.get_papers(),
search_external=True
)
review_response.cover_letter(
original_reviews=["R1 text", "R2 text", "R3 text"],
changes_made=["Added ablation study in Section 4.2", "Clarified limitation in Discussion"],
target_journal="Nature Methods"
)
Response draft is structured as: summary paragraph + numbered point-by-point responses. Each response includes: reviewer quote, response text, and any new citations to add. Triage output is a prioritized table. Cover letter is formatted prose ready to submit.
evidence-grading to assess whether a reviewer's concern has strong literature support