Break down full NeurIPS reviewer responses into structured rebuttal units. Use when input contains NeurIPS reviewer fields (Summary, Strengths and Weaknesses, Questions, Limitations) and numeric scores (Rating, Confidence, Quality, Clarity, Significance, Originality). Splits questions and limitations into granular response items while preserving original wording for quoted issues.
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See how to installReview the instructions the agent will receive before you install.
Apply the shared template first:
skills/stage1/template/SKILL.mdThen apply only the NeurIPS-specific overrides below.
Extract exactly these six keys (numbers only):
rating <- NeurIPS Rating / Overallconfidence <- NeurIPS Confidencequality <- NeurIPS Qualityclarity <- NeurIPS Claritysignificance <- NeurIPS Significanceoriginality <- NeurIPS OriginalityScores may appear as 3: good or 5: Accept — extract the leading number only.
summary <- Summarystrength <- Strengths And WeaknessesQuestions (label as weakness)Limitations (label as question)# Stage1 NeurIPS Breakdown## Scores must contain exactly the six keys above.Limitations field sometimes contains a standard phrase ("The authors thoroughly discussed the limitations of their work.") — preserve it verbatim rather than splitting into atomic issues if it is a single affirmative statement.4: excellent) — extract only the numeric portion.No reviews yet. Tell others what you thought.
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Verification guide for citations added during rebuttal writing. Use when Stage 2 responses introduce new references, when the Area Chair asks about a cited paper, or when any citation in the rebuttal might have been AI-generated. Prevents the serious credibility damage of fabricated references in reviewer-facing documents.
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Summarize extracted paper text into concise Markdown memory for later Stage 2 and Stage 4 background use, with fixed section headings and no fabricated claims.
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Systematic quality check for a completed rebuttal document before submission. Use after Stage 3 document compilation or after Stage 5 final remarks writing to verify completeness, tone, factual accuracy, and structural integrity. Catches common rebuttal errors before they reach reviewers.
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Systematic review response strategy guide for RebuttalStudio. Use when developing response strategies for reviewer comments, deciding how to classify concerns, or choosing between Accept/Defend/Clarify/Experiment approaches at any stage of the rebuttal pipeline.
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Multi-stage rebuttal analysis skill for RebuttalStudio. Use when organizing reviewer comments into stage-specific conference workflows, including stage1 breakdown, stage2 refinement, stage4 multi-round follow-up, and stage5 final remarks generation.
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Break down full ARR (ACL Rolling Review) reviewer responses into structured rebuttal units. Use when input contains ARR reviewer fields (Paper Summary, Strengths, Weaknesses, Comments/Suggestions) and numeric scores (Confidence, Soundness, Excitement, Overall Assessment, Reproducibility). Splits weaknesses and comments/suggestions into granular response items while preserving original wording for quoted issues.
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