rebuttal-guidance
Provides actionable peer-review rebuttal guidance (not full rebuttal prose) using conditional persuasion P(Z|X,Y): match reviewer mindset X, recommend…
Skill by zms618
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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~/.claude/skills/rebuttal-guidance
What's inside
- Skill name
rebuttal-guidance- Description
- Provides actionable peer-review rebuttal guidance (not full rebuttal prose) using conditional persuasion P(Z|X,Y): match reviewer mindset X, recommend strategy Y, optionally ground in manuscript evidence and similar successful historical (review, rebuttal) pairs. Use when the user pastes reviewer comments, asks for rebuttal help, rebuttal guidance, response to reviewers, how to reply to R1.W2, OpenReview rebuttal, or the reviewer ignored the rebuttal.
- License
- MIT
- Instructions
- 129 lines in SKILL.md · view on GitHub
Files (7)
- SKILL.md
- checklist.md · references/
- concern-classification.md · references/
- mindset-library.md · references/
- mindset-matching-heuristics.md · references/
- response-templates.md · references/
- strategy-dimensions.md · references/
SKILL.md (first lines)
# Rebuttal Guidance ## Overview This skill delivers **executable rebuttal guidance per concern**: structured plans, evidence pointers, tone and strategy priorities. It does **not** produce ready-to-paste rebuttal prose; the author writes the final text. The core model is **conditional persuasion P(Z=1 | X, Y)**: - **X**: reviewer mindset (behavior cluster inferred from review text) - **Y**: rebuttal strategy vector (which tactics to emphasize) - **Z**: success (score increase or paper accepted) ## When to use - User pastes Weaknesses / Questions from ICLR, NeurIPS, ICML, EMNLP, etc. - User asks how to respond to a specific reviewer comment. - User wants a structured plan before writing rebuttal prose. - User asks which tone or evidence strategy fits a harsh vs. open reviewer. - User says "reviewer ignored my rebuttal" and wants to recalibrate. ## When NOT to use - User wants full rebuttal text copied verbatim → output guidance first; warn against blind LLM paste. - User asks to evaluate a research idea → use `idea-evaluator`. - User asks for pre-submission paper review → use `pre-submission-reviewer`. - No review text provided → ask for it first. --- ## Core procedure ### Step 1: Inventory concerns Extract every numbered Weakness and Question from the pasted review. If the user pasted only one reviewer's block, ask whether other reviewers exist. Output a short table: | ID | Type | One-line summary | |----|------|-----------------| | R1.W1 | W | ... | | R1.Q1 | Q | ... | ### Step 2: Classify each concern See: [references/concern-classification.md](references/concern-classification.md) Tag each item as one of: `misunderstanding | evidence_gap | novelty | baseline_fairness | scope_claim | writing_clarity | theory | efficiency | other` ### Step 3: Match reviewer mindset (X) See: [references/mindset-matching-heuristics.md](references/mindset-matching-heuristics.md) Score the review on 5–7 behavior signals (openness, severity, constructiveness, specificity, skepticism, harshness, actionability). Map scores to a cluster in [references/mindset-library.md](references/mindset-library.md). State: **matched cluster name**, confidence (high / medium / low), and the specific phrases that triggered the match. ### Step 4: Strategy priorities for this mindset (Y) From the matched cluster in [references/mindset-library.md](references/mindset-library.md), read: - **Historical up-rate**: calibrate how likely a score increase is. - **Rule-stat diffs** (success vs. failure %): boost tactics with positive diff. - **Cohen's d effects**: highlight dimensions with d > 0.8 in success group. - **Success / failure patterns**: concrete do's and don'ts from data. - **Key strategy**: one-sentence summary for this cluster. Cross-check dimensions in [references/strategy-dimensions.md](references/strategy-dimensions.md). ### Step 5: Per-concern guidance For each concern, emit a guidance block (not final prose): ``` ### R?.W?: [short title] - **Concern type**: ... - **Mindset-aware strategy**: ... - **Recommended structure**: Acknowledge → Response → Evidence → Revision note - **Clarify from paper?**: yes/no: where to look (section, table, appendix) - **New experiment needed?**: yes/no: what exactly (no fabricated numbers) - **Tone note**: ... - **Template**: A / B / C: see references/response-templates.md - **Avoid**: ... ``` Do **not** fabricate experimental numbers. Mark anything unverified as `[TO VERIFY]`. ### Step 6: Integrity gate Before finalizing, run through [references/checklist.md](references/checklist.md). Key flags: - Every W/Q has a guidance block. - No fabricated numbers. - Defensive phrases (e.g., "you misunderstood") flagged. - Overpromise risk flagged for scope_claim and evidence_gap types. ### Step 7: Output format Deliver a `## Rebuttal Guidance` section containing: 1. **Reviewer mindset summary**: cluster name, confidence, identifying phrases. 2. **Global strategy priorities**: 3–5 bullets from mindset data. 3. **Per-concern guidance**: Step 5 blocks for each W/Q. 4. **Checklist highlights**: pass/fail on key integrity items. --- ## Reference map
From zms618/no-heartburn-academic-skills, MIT.
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- Last commit (this folder)
- Oct 13, 2026 (19 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Evaluates a preliminary research idea against a five-dimension framework (Higher, Faster, Stronger, Cheaper, Broader) plus idea-lifecycle and…
SkillAFreshness: AClaude Code +9 - 0.570score
pre-submission-reviewer
zms618
Runs a pre-submission review of a technical paper across five dimensions: macro logic, writing details, English grammar, LaTeX formatting, and figure quality.
SkillAFreshness: AClaude Code +9 - 0.570score
benchmark-paper-template
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figure-designer
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Advises on the design of the three core figures in a technical paper: the Motivated Example (Figure 1), the Solution Overview (Methodology), and the…
SkillAFreshness: AClaude Code +9 - 0.565score
intro-drafter
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Drafts the Introduction prose for a technical paper, guided internally by a six-paragraph flowchart: background and running example, existing limitations…
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rebuttal-guidance skill. Agent Mart. https://agentmart.dev/skills/zms618-rebuttal-guidance (last updated 2026-10-24)