Paper Revision

by lingzhi2279e6c085d65e3No license386 starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated 7 months ago

Revise papers based on reviewer feedback. Map reviewer concerns to specific sections, apply targeted edits, run additional experiments if needed, and verify improvements. Use after receiving peer review with revision requests.

AI-generated overview

Revises academic papers by mapping reviewer concerns to sections and applying targeted edits.

What it does
This skill guides an agent through a structured paper-revision workflow: parsing and prioritizing reviewer comments, mapping each concern to affected sections, planning actions such as clarification, new experiments, analysis, structural changes, or citations, and then executing targeted edits. It marks revised text for reviewers, verifies that concerns are addressed, and produces a revision summary cross-referencing changes to reviewer concerns. It also points to a reference file of revision prompts and workflow guidance.
When to use it
Use after receiving peer review with revision requests, when a paper draft and reviewer feedback are available. It is intended for systematically working through reviewer concerns and documenting the resulting changes.
Requirements
Requires the reviewer comments and the current paper draft (for example a main.tex file or paper directory). It is instructions-only and ships no scripts, but references a revision-prompts file and mentions related skills for experiments, figures, tables, self-review, and compilation.

Paper Revision

Systematically revise papers based on reviewer feedback.

Input

  • $0 — Reviewer comments/feedback
  • $1 — Current paper draft (main.tex or paper directory)

References

  • Revision workflow and prompts: ~/.claude/skills/paper-revision/references/revision-prompts.md

Workflow

Step 1: Parse and Prioritize Concerns

For each reviewer comment:

  1. Extract the specific concern
  2. Classify: major revision, minor revision, question, suggestion
  3. Map to affected paper section(s)
  4. Prioritize: address major concerns first

Step 2: Plan Revisions

Create a revision plan:

Concern → Affected Section → Required Action → New Content/Experiment

Categories of actions:

  • Clarification: Rewrite text for clarity
  • Additional experiment: Run new experiment, add results
  • New analysis: Add ablation, statistical test, or comparison
  • Structural change: Move, merge, or split sections
  • Citation: Add missing references

Step 3: Execute Revisions

For each planned revision:

  1. Read the current section
  2. Apply targeted edits (preserve surrounding structure)
  3. If new experiments needed: use experiment-code skill
  4. If new figures/tables needed: use figure-generation / table-generation skills
  5. Mark changes (use \textcolor{blue}{...} for revised text)

Step 4: Verify Improvements

  • Re-run self-review skill to check if scores improved
  • Verify all reviewer concerns are addressed
  • Check that revisions don't introduce new issues
  • Ensure page count still fits venue requirements

Step 5: Write Revision Summary

Generate a diff summary:

  • List all changes made with section references
  • Note any new experiments, figures, or tables added
  • Cross-reference each change to the reviewer concern it addresses

Rules

  • Address EVERY reviewer concern — do not skip any
  • Preserve paper structure unless structural change is explicitly needed
  • New results must come from actual experiments, not hallucinated
  • Mark all revised text clearly for the reviewers
  • Keep a copy of the previous version before revising
  • Compare new scores vs previous scores after revision

Related Skills

  • Upstream: self-review
  • Downstream: paper-compilation
  • See also: rebuttal-writing, paper-writing-section

Source and attribution

Source:lingzhi227/agent-research-skillsinskills/paper-revisionat commit9e6c085

License: No license

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