How to install paper-revision
npx skills add https://github.com/lingzhi227/agent-research-skills --skill paper-revisionFull instructions (SKILL.md)
Source of truth, from lingzhi227/agent-research-skills.
name: paper-revision description: 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. argument-hint: [reviews-or-draft]
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:
- Extract the specific concern
- Classify: major revision, minor revision, question, suggestion
- Map to affected paper section(s)
- 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:
- Read the current section
- Apply targeted edits (preserve surrounding structure)
- If new experiments needed: use experiment-code skill
- If new figures/tables needed: use figure-generation / table-generation skills
- 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
Related skills
More from lingzhi227/agent-research-skills and the wider catalog.
literature-review
Conduct comprehensive literature reviews using multi-perspective dialogue simulation. Generate diverse expert personas, conduct grounded Q&A conversations, and synthesize findings into structured knowledge. Use when starting a new research project or writing a survey section.
literature-search
Search academic literature using Semantic Scholar, arXiv, and OpenAlex APIs. Returns structured JSONL with title, authors, year, venue, abstract, citations, and BibTeX. Use when the user needs to find papers, check related work, or build a bibliography.
figure-generation
Generate publication-quality scientific figures using matplotlib/seaborn with a three-phase pipeline (query expansion, code generation with execution, VLM visual feedback). Handles bar charts, line plots, heatmaps, training curves, ablation plots, and more. Use when the user needs figures, plots, or visualizations for a paper.
citation-management
Manage BibTeX citations for LaTeX papers. Harvest missing citations from a draft using Semantic Scholar, validate cite keys against .bib files, deduplicate entries, and format bibliography. Use when working with references, BibTeX, or citations.
latex-formatting
Handle LaTeX formatting, templates, and styling for academic papers. Set up conference templates (ICML, ICLR, NeurIPS, AAAI, ACL), fix formatting issues, manage packages, and ensure venue-specific compliance. Use when the user needs to set up a paper template, fix LaTeX formatting, or prepare for submission.
data-analysis
Generate statistical analysis code with 4-round review. Select appropriate statistical tests, interpret results, and produce analysis reports with p-values, effect sizes, and confidence intervals. Use when analyzing experimental data for a paper.