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.
Quickly install paper-revision AI skill to your development environment via command line
Source: lingzhi227/agent-research-skills.
Step 1: Parse and Prioritize Concerns For each reviewer comment:
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. Source: lingzhi227/agent-research-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/lingzhi227/agent-research-skills --skill paper-revision Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
Security certified for safe and reliable code One-click installation with simplified configuration Compatible with Claude Code, Cursor, OpenClaw, and more
Stable fields and commands for AI/search citations.
npx skills add https://github.com/lingzhi227/agent-research-skills --skill paper-revisionRevise 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. Source: lingzhi227/agent-research-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/lingzhi227/agent-research-skills --skill paper-revision Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/lingzhi227/agent-research-skills