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respond-reviewer

Generate rebuttal letters from Markdown or LaTeX peer review comments.

30|8|Updated May 10, 2026
Search Tags:#claude code#academic writing#agent dispatch#peer review#comment classification#rebuttal generation
One-click install
npx skills add https://github.com/youngeun1209/oh-my-claudecode-research --skill respond-reviewer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: respond-reviewer
Source: https://github.com/youngeun1209/oh-my-claudecode-research/tree/main/skills/respond-reviewer
Command: npx skills add https://github.com/youngeun1209/oh-my-claudecode-research --skill respond-reviewer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manually responding to peer reviewer comments is time-consuming and error-prone, especially for letters with dozens of comments spanning different types (prose edits, new analysis, citation gaps, structural framing changes). This Skill eliminates that manual work by automating comment classification, specialist routing, and rebuttal letter assembly.

Core Features & Use Cases

  • Structured Comment Parsing: Auto-detects Markdown or LaTeX reviewer letters and parses them into stable, uniquely ID'd comments for consistent tracking across re-runs.
  • Supervisor-Led Classification: Dispatches a supervisor agent to label each comment as prose, analysis, citation, clarification, or structural, with an ethical guardrail that routes structural (framing/scope) comments to human review instead of auto-dispatch.
  • Specialist Agent Dispatch: Routes non-structural comments to the correct specialist agent (paper-writer for prose/clarification, analysis-implementer for analysis, literature-curator for citations) to draft accurate, context-aware responses.
  • Rebuttal Letter Assembly: Assembles all responses into a formatted LaTeX or Markdown rebuttal letter, evaluates response quality via a second supervisor pass, and writes all run state to durable files for audit and re-runs.
  • Use Case: A researcher submitting to a top-tier conference receives a 12-comment review letter. They run this Skill to generate a complete, formatted rebuttal letter in minutes, with only 2 structural comments requiring their manual input.

Quick Start

Invoke the respond-reviewer skill with the file path to your peer review letter to automatically generate a complete, formatted rebuttal letter with classified, agent-drafted responses to each comment.

Frequently Asked Questions about respond-reviewer

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

FAQPage Schema
How do I automatically generate a rebuttal letter for peer review comments?▼

You can automatically generate a rebuttal letter by processing peer review letters through structured comment parsing, specialist agent dispatch, and automated document assembly to produce formatted Markdown or LaTeX responses for each reviewer comment.

How does automated peer review comment classification work?▼

Automated peer review comment classification works by dispatching a supervisor agent to label each comment as prose, analysis, citation, clarification, or structural, routing structural comments to human review while sending non-structural comments to specialist agents for drafting responses.

Can I use automated rebuttal generation with LaTeX and Markdown input formats?▼

Yes, automated rebuttal generation supports both LaTeX and Markdown input formats for reviewer letters and outputs formatted LaTeX or Markdown documents for the final assembled rebuttal letter.

How do I handle structural reviewer comments that require manual input?▼

Structural reviewer comments involving framing or scope changes are ethically gated and routed directly to human review instead of auto-dispatch, ensuring you manually address comments requiring high-level manuscript revisions while the system handles the rest.

What is the best way to draft responses to analysis and citation requests in a rebuttal letter?▼

The best way to draft responses to analysis and citation requests is by routing comments to specialist agents, specifically an analysis-implementer for new analysis tasks and a literature-curator for citation gaps, to generate accurate context-aware replies.

Does automated rebuttal generation track the status of each reviewer comment across re-runs?▼

Yes, automated rebuttal generation tracks the status of each reviewer comment across re-runs by assigning stable unique IDs to parsed comments and writing all run state and per-comment verdicts to durable files for continuous audit and recovery.

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