@nini_incrypto_: The ultimate tool for academic debating with reviewers is here! If you're submitting to a top conference for the first time and don't know how to write a Rebuttal, look no further! This open-source project, Awesome Rebuttal, is a rebuttal assistant tailored for papers in AI, NLP, robotics, and more. It acts as your academic advisor, helping you elegantly…

The ultimate tool for academia and reviewers to argue on solid ground is here! First-time submission to a top conference and don’t know how to write a rebuttal? Check this out! This open-source project called Awesome Rebuttal is a rebuttal-boosting add-on tailored for papers in AI, NLP, Robotics, and more. It acts as your academic advisor, helping you elegantly spar with reviewers. When you’re overwhelmed by a pile of critical review comments, it precisely handles three things:

1. Automatically disassembles and organizes the reviewers’ core concerns, letting you see their pain points at a glance.
2. Plans a path for supplementary experiments based on complex venue rules, avoiding pointless trial and error.
3. Assists in generating well-reasoned, logically rigorous, and diplomatically safe responses, directly boosting your top-conference acceptance rate.
   It can also be embedded directly into Cursor or Claude Code, running smoothly within your paper workspace.
   https://github.com/xiongqi123123/Awesome-Rebuttal

What is this?

Awesome Rebuttal is a global-installable, project-level skill for AI / ML / CV / NLP / Robotics paper rebuttals. It helps an AI coding assistant work inside a paper workspace, persist structured rebuttal memory, analyze reviewer concerns, plan supplementary experiments, and draft safe author responses under user-confirmed venue rules.

Disclaimer

Awesome Rebuttal is not affiliated with, endorsed by, or officially connected to any conference, publisher, review platform, or submission system. It is an assistant workflow for organizing evidence and drafting rebuttal text; it does not guarantee acceptance and does not replace the author’s responsibility. Before submitting, authors must independently verify the venue rules, anonymity requirements, factual claims, experimental numbers, formatting, and final uploaded files.

Highlights

• Skill-first architecture — one SKILL.md entry with layered atomic capability files.
• Project-local state — runtime memory, drafts, snapshots, templates, and logs stay under .awesome-rebuttal/ in each paper workspace.
• Review understanding — normalize reviewer metadata, raw comments, atomic concerns, and common concern clusters.
• Strategy planning — reason about rebuttal posture, priority concerns, reviewer-specific goals, and AC-facing decision facts.
• Experiment triage — separate must-do, high-value optional, not-recommended, and infeasible rebuttal experiments.
• Format-aware drafting — supports one-page PDF, OpenReview-style per-reviewer replies, global comments, hybrid responses, and Markdown+LaTeX comments.
• Safety gates — block unsupported claims, fabricated results, unconfirmed venue permissions, hostile tone, and anonymity leaks.
• Optional Overleaf sync — can guide LeafLink setup only when the user wants cloud/local synchronization.

Installation

The published repository root is the skill package root. After cloning, the directory should contain SKILL.md directly.

git clone https://github.com/xiongqi123123/awesome-rebuttal.git
cd awesome-rebuttal
test -f SKILL.md

Option A: install manually for Codex

CODEX_SKILLS_DIR="${CODEX_HOME:-$HOME/.codex}/skills"
TARGET="$CODEX_SKILLS_DIR/awesome-rebuttal"
mkdir -p "$CODEX_SKILLS_DIR"
rsync -a --exclude '.git/' --exclude '.awesome-rebuttal/' ./ "$TARGET"/

Restart Codex after installation.

Option B: install manually for Claude Code

CLAUDE_SKILLS_DIR="$HOME/.claude/skills"
TARGET="$CLAUDE_SKILLS_DIR/awesome-rebuttal"
mkdir -p "$CLAUDE_SKILLS_DIR"
rsync -a --exclude '.git/' --exclude '.awesome-rebuttal/' ./ "$TARGET"/

Restart or reload Claude Code after installation.

Option C: AI-assisted installation

Send this installation guide link directly to a local AI coding assistant and ask it to follow the instructions:

• GitHub view: https://github.com/xiongqi123123/awesome-rebuttal/blob/main/AI_AGENT_INSTALL.md
• Raw Markdown: https://raw.githubusercontent.com/xiongqi123123/awesome-rebuttal/main/AI_AGENT_INSTALL.md

Suggested prompt:

Please install Awesome Rebuttal by following this guide: https://github.com/xiongqi123123/awesome-rebuttal/blob/main/AI_AGENT_INSTALL.md
Do not overwrite existing files without backup.

Option D: Cursor project rule

Cursor can use a project rule that points to this cloned or installed skill. See AI_AGENT_INSTALL.md for the minimal .cursor/rules/awesome-rebuttal.mdc adapter.

Basic usage

In a paper rebuttal workspace, ask your AI assistant:

Use Awesome Rebuttal to initialize this rebuttal workspace.

Recommended workspace layout:

/
├── Code/
├── Paper/
├── Reference/
├── Temp/
└── .awesome-rebuttal/
    ├── memory/
    ├── drafts/
    ├── snapshots/
    ├── templates/
    ├── logs/
    └── cache/

If your workspace already has a different structure, the skill will map it non-destructively instead of forcing renames.

Host compatibility

Included assets

• Built-in fallback one-page LaTeX rebuttal template: assets/one-page-rebuttal-template/
• Snapshot renderer: scripts/render_snapshot.py
• Memory schemas: references/memory-schemas/
• Capability files: references/capabilities/

Safety policy

Awesome Rebuttal should not:

• invent experiment results, numbers, citations, reviewer positions, or venue permissions;
• attack reviewers or imply bad faith;
• bypass anonymity or venue rules;
• over-promise future revisions;
• insert LeafLink, local tooling instructions, or any other paper-irrelevant content into final submission-facing text.

License

MIT License. See LICENSE.

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