What problem does it solve?
Responding to peer review is chaotic: reviewer comments arrive as unstructured prose, and it is hard to decide which concerns need new experiments, which need text edits, and which require claim downgrades. This Skill normalizes review packages into auditable atomic items and orchestrates the full revision workflow.
Core Features & Use Cases
- Review Matrix Normalization: Parses reviewer comments, meta-reviews, and decision letters into stable atomic items (e.g., R1-C1) with class, severity, stance, and routing decisions.
- Routed Follow-up Work: Routes supplementary experiments to analysis campaigns, manuscript edits to the writing stage, and novelty complaints to literature audits—only when genuinely needed.
- Response Letter Assembly: Produces a durable rebuttal package including review matrix, action plan, response letter, text deltas, and evidence updates using provided templates.
- Use Case: After receiving a major revision decision, feed the reviewer PDF and your manuscript draft to the Skill; it builds a point-by-point response plan, launches only the experiments tied to named reviewer concerns, and drafts an evidence-backed response letter.
Quick Start
Use the ds-rebuttal skill to analyze the attached reviewer comments and my current paper draft, then build a review matrix and rebuttal action plan.