paper-revision

安装量: 43
排名: #17006

安装

npx skills add https://github.com/lingzhi227/agent-research-skills --skill paper-revision
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
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