stage1-iclr-breakdown

Convert ICLR reviewer feedback into atomic rebuttal items.

214|2|Updated Feb 21, 2026
One-click install
npx skills add https://github.com/runtsang/RebuttalStudio --skill stage1-iclr-breakdown
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: stage1-iclr-breakdown
Source: https://github.com/runtsang/RebuttalStudio/tree/main/skills/stage1/iclr
Command: npx skills add https://github.com/runtsang/RebuttalStudio --skill stage1-iclr-breakdown

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Break down lengthy ICLR reviewer responses into atomic, actionable items that can be addressed one by one in a rebuttal.

Core Features & Use Cases

  • Split weaknesses, questions, and concerns into granular R-style items while preserving original wording.
  • Map each item to a concrete response plan that aligns with the template extension.
  • Supports end-to-end workflow: from raw reviewer feedback to structured output ready for drafting.

Quick Start

Provide the ICLR reviewer feedback text to the skill and it will output a set of atomic rebuttal items organized by concern.

Frequently Asked Questions about stage1-iclr-breakdown

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I structure ICLR reviewer feedback into actionable rebuttal items?

To structure ICLR reviewer feedback into actionable rebuttal items, provide the raw reviewer text to the skill. It splits weaknesses, questions, and concerns into granular R-style items while preserving original wording for precise drafting.

What is the best way to break down lengthy reviewer comments for a rebuttal?

The best way to break down lengthy reviewer comments is converting them into atomic, itemized concerns. This process maps each specific weakness or question to a concrete response plan aligned with rebuttal template extensions.

Can I preserve the original wording from reviewer summaries when creating a rebuttal?

Yes, you can preserve original wording from reviewer summaries. The skill explicitly extracts strengths, weaknesses, and questions while retaining quoted text to ensure granular itemization of concerns without losing context.

Does this tool work with unformatted ICLR reviewer responses containing mixed strengths and weaknesses?

Yes, this tool works with unformatted ICLR reviewer responses. It applies when inputs include mixed reviewer summaries, strengths, weaknesses, questions, or comments, itemizing them into a consistent set of issues.

How do I map atomic reviewer concerns to a rebuttal template structure?

To map atomic reviewer concerns to a rebuttal template structure, the skill processes each itemized issue and aligns it with a concrete response plan. This satisfies requirements for consistent template extension and drafting readiness.