strategic-revision

Generates computationally validated master revision plans from referee comments for LaTeX academic papers.

127|22|Updated Feb 20, 2026
One-click install
npx skills add https://github.com/flonat/flonat-research --skill strategic-revision
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: strategic-revision
Source: https://github.com/flonat/flonat-research/tree/main/skills/strategic-revision
Command: npx skills add https://github.com/flonat/flonat-research --skill strategic-revision

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires networkx, python, latex, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill helps you manage and plan revisions to your academic paper based on referee comments. It provides a structured, computationally validated plan to ensure comprehensive and efficient responses.

Core Features & Use Cases

  • Referee Comments Analysis: Extracts and structures referee comments into actionable tasks.
  • Dependency Mapping: Builds a Directed Acyclic Graph (DAG) of task dependencies.
  • Critical Path Analysis: Identifies the critical path and bottlenecks for the revision process.
  • Venue Strategy: Offers guidance on potential publication venues based on the paper's strengths and weaknesses.
  • Use Case: After receiving referee comments, use this Skill to generate a detailed revision plan that includes task prioritization, dependencies, and critical paths, helping you respond effectively to the reviews.

Quick Start

Run the strategic-revision skill with the path to your referee comments PDF: strategic-revision [path-to-reviews-pdf]

Frequently Asked Questions about strategic-revision

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create a revision plan from referee comments for an academic paper?

To create a revision plan from referee comments, this Skill extracts review tasks, maps dependencies into a Directed Acyclic Graph, and computes the critical path to prioritize your academic writing workflow.

What is a DAG-validated revision master plan and how does it work?

A DAG-validated revision master plan structures referee comments into actionable tasks, mapping their dependencies as a Directed Acyclic Graph to identify bottlenecks and optimize the critical path of your academic paper revisions.

Does this revision planning tool require Python, networkx, and LaTeX to run?

Yes, this revision planning tool requires Python, networkx, and LaTeX to execute properly. It is specifically optimized for LaTeX-based academic writing workflows to generate the validated revision master plan.

Can I analyze referee comments from a PDF file to prioritize my paper revisions?

Yes, you can analyze referee comments from a PDF file to prioritize paper revisions. Provide the path to your reviews PDF, and the Skill extracts comments to structure tasks, map dependencies, and compute the critical path.

What is the best way to manage academic paper revisions and identify bottlenecks?

The best way to manage academic paper revisions is using critical path analysis on referee comments. By building a dependency graph of revision tasks, you can identify bottlenecks and generate a structured, computationally validated revision master plan.

Are there limitations when using a critical path analysis approach for academic writing revisions?

A limitation of using critical path analysis for academic writing revisions is its dependency on Python, networkx, and LaTeX. It is optimized strictly for LaTeX-based workflows, meaning papers in other formats require conversion before analysis.