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skills

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

설치 방법 보기

포함된 파일(24)

  • SKILL.md3.1 KB
  • document-memory/summarize/scripts/extract_pdf_text.py1.4 KB
  • document-memory/summarize/SKILL.md1.1 KB
  • polish/SKILL.md1.6 KB
  • README.md15.1 KB
  • stage1/arr/SKILL.md1.8 KB
  • stage1/iclr/SKILL.md1.3 KB
  • stage1/icml/SKILL.md1.5 KB
  • stage1/neurips/SKILL.md1.8 KB
  • stage1/template/SKILL.md3.6 KB
  • stage2/arr/SKILL.md1.0 KB
  • stage2/iclr/SKILL.md933 B
  • stage2/icml/SKILL.md948 B
  • stage2/neurips/SKILL.md1.0 KB
  • stage2/template/SKILL.md3.8 KB
  • stage4/condense/SKILL.md785 B
  • stage4/refine/SKILL.md857 B
  • stage5/final-remarks/references/run-template.md626 B
  • stage5/final-remarks/SKILL.md1.3 KB
  • utility/stage/citation-verification/SKILL.md5.8 KB
  • utility/stage/rebuttal-self-review/SKILL.md6.0 KB
  • utility/stage/review-response/SKILL.md6.2 KB
  • utility/stage/text-condense/SKILL.md1.8 KB
  • utility/stage/writing-anti-ai/SKILL.md6.4 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

RebuttalStudio Multi-Stage Skill

Follow this dispatcher structure:

  1. Identify stage first (stage1, stage2, stage4, or stage5).
  2. For stage1 and stage2, apply the stage template first, then select conference-specific extension.
  3. Execute the conference skill instructions directly.

Available stage workflows

  • stage1/template/SKILL.md: Shared Stage 1 breakdown template. Apply before conference overrides.
  • stage1/iclr/SKILL.md: Convert raw reviewer feedback into a structured breakdown for rebuttal drafting.
  • stage1/icml/SKILL.md: Convert raw reviewer feedback into a structured breakdown for rebuttal drafting (ICML mapping).
  • stage2/template/SKILL.md: Shared Stage 2 refine template. Apply before conference overrides.
  • stage2/iclr/SKILL.md: Refine Stage2 outline drafts into reviewer-facing rebuttal prose.
  • stage2/icml/SKILL.md: Refine Stage2 outline drafts into reviewer-facing rebuttal prose (ICML labeling).
  • stage4/condense/SKILL.md: Condense Stage 3 combined discussion into reusable markdown context.
  • stage4/refine/SKILL.md: Refine follow-up response using condensed context + follow-up question + user draft.
  • stage5/final-remarks/SKILL.md: Fill Stage 5 final remarks template from all reviewers' condensed markdown context.

Available utility workflows

  • polish/SKILL.md: Polish (rephrase) a rebuttal message template for clarity and professionalism while preserving the original structure, tone, and intent.

Available stage-general utility skills

These skills apply across multiple stages and provide strategic, stylistic, and quality guidance:

  • utility/stage/review-response/SKILL.md: Comment classification (Major/Minor/Misunderstanding/Typo) and response strategy selection (Accept/Defend/Clarify/Experiment). Use when planning how to respond to any reviewer concern.
  • utility/stage/writing-anti-ai/SKILL.md: Remove AI-generated writing patterns from rebuttal prose. Use after Stage 2 refinement or Stage 4 follow-up when text reads formulaic or robotic.
  • utility/stage/text-condense/SKILL.md: Condense selected rebuttal prose into fewer words without changing meaning. Use when a paragraph is too long but the technical content should stay intact.
  • utility/stage/rebuttal-self-review/SKILL.md: Pre-submission quality checklist covering coverage, tone, factual accuracy, structure, and clarity. Use after Stage 3 compilation or Stage 5 final remarks.
  • utility/stage/citation-verification/SKILL.md: Verification workflow for any new citation added during rebuttal writing. Use when LLM-suggested references appear in Stage 2 drafts.

If a requested stage/conference does not exist, stop and ask for missing spec before inventing format. When adding a new conference for Stage 1 or Stage 2, extend the stage template and edit only conference-specific differences.

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같은 저장소의 스킬

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

runtsang/RebuttalStudio2192026년 4월 4일 업데이트

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

runtsang/RebuttalStudio2192026년 4월 4일 업데이트

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

runtsang/RebuttalStudio2192026년 4월 4일 업데이트

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

runtsang/RebuttalStudio2192026년 4월 4일 업데이트

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

runtsang/RebuttalStudio2192026년 4월 4일 업데이트

Base template for Stage1 reviewer-comment breakdown. Use when creating or extending conference-specific Stage1 skills (for example ICLR, ICML, NeurIPS, ACL) so shared extraction, splitting, and response-mapping logic stays consistent.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

runtsang/RebuttalStudio2192026년 4월 4일 업데이트

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