skills/stage1/iclr/SKILL.md
Break down full ICLR reviewer responses into structured rebuttal units. Use when input contains reviewer summary/presentation/contribution/strength/weakness/question text and the goal is to split weaknesses/questions into granular R-style response items while preserving original wording for quoted issues.
npx skillsauth add runtsang/rebuttalstudio stage1-iclr-breakdownInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Apply the shared template first:
skills/stage1/template/SKILL.mdThen apply only the ICLR-specific overrides below.
Extract exactly these five keys (numbers only):
rating <- ICLR ratingconfidence <- ICLR confidencesoundness <- ICLR soundnesspresentation <- ICLR presentationcontribution <- ICLR contributionsummary <- summarystrength <- strengthweaknessquestion# Stage1 ICLR Breakdown## Scores must contain exactly the five keys above.If reviewer text mixes free-form paragraphs and bullets, keep template splitting rules unchanged and split only by independent concerns.
data-ai
Remove AI-generated writing patterns from rebuttal prose to make it sound natural, direct, and authentically human-authored. Use when a Stage 2 refined draft or Stage 4 follow-up response reads too formulaic, robotic, or "GPT-like". Supports academic English.
testing
Condense rebuttal prose into fewer words without changing the original meaning. Use when a response block, paragraph, or selected passage is too long but all technical content, citations, and commitments must stay intact. Supports academic English.
development
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.
testing
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.