summarize
Summarize extracted paper text into concise Markdown memory for later Stage 2 and Stage 4 background use, with fixed section…
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,
$ npx -y skills add runtsang/rebuttalstudio --skill arr --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/arrContext preview
The summary Claude sees to decide when to auto-load this skill.
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,
name: stage1-arr-breakdown description: 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.
Apply the shared template first:
Then apply only the ARR-specific overrides below.
Extract exactly these five keys (numbers only, decimals allowed):
A rebuttal editor for researchers to craft high-quality academic rebuttals — so you can focus on what to say, not how to format it.
Summarize extracted paper text into concise Markdown memory for later Stage 2 and Stage 4 background use, with fixed section…
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Break down full NeurIPS reviewer responses into structured rebuttal units. Use when input contains NeurIPS reviewer fields…