paper-logical-consistency

Detect core statements and cross-chapter references across manuscript sections.

38|3|Updated May 7, 2026
One-click install
npx skills add https://github.com/Chanw-research/claude-code-paper-writing --skill paper-logical-consistency
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: paper-logical-consistency
Source: https://github.com/Chanw-research/claude-code-paper-writing/tree/main/skills/paper-discipline/paper-logical-consistency
Command: npx skills add https://github.com/Chanw-research/claude-code-paper-writing --skill paper-logical-consistency

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps ensure that when core statements such as the research question, hypotheses, or major conclusions are modified, all related mentions across the manuscript are identified and surfaced for synchronized updates, preventing semantic drift.

Core Features & Use Cases

  • Detect and anchor core statements (research questions, hypotheses, conclusions) and locate their occurrences across sections.
  • Provide a structured summary of where each concept appears and prompt the user to synchronize changes.
  • Support a review workflow that checks for logical coherence before handoffs or submissions.

Quick Start

Identify changes to core statements, scan the manuscript for linked occurrences, and decide which ones to synchronize.

Frequently Asked Questions about paper-logical-consistency

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

FAQPage Schema
How do I maintain logical consistency when revising core statements in a research manuscript?

To maintain logical consistency, you need to identify and anchor core statements like research questions and hypotheses, then scan the manuscript to synchronize all linked occurrences and prevent semantic drift.

What is semantic drift in research writing and how do I check for it?

Semantic drift occurs when revised core ideas fail to propagate across a manuscript. You check for it by detecting core statements and their semantic synonyms to enable reliable synchronization across chapters.

How do I track cross-chapter references when updating hypotheses or conclusions?

Track cross-chapter references by anchoring the modified hypothesis or conclusion, scanning all sections for semantic synonyms, and generating a structured summary of where each concept appears for synchronized updates.

Can I use an AI-assisted review to check argument coherence before submission?

Yes, you can use an AI-assisted review workflow to check argument coherence by detecting core statements and cross-chapter references, ensuring all linked mentions are surfaced for synchronization before handoffs or submissions.

What is the best way to find all occurrences of a modified research question across my paper?

The best way is to apply a logical consistency check that anchors the modified research question, locates its semantic synonyms and cross-chapter references, and prompts you to synchronize each linked occurrence.

Why does updating a conclusion break logical consistency in other manuscript sections?

Updating a conclusion breaks consistency because linked mentions in other sections rely on the original semantic meaning. Without detecting and synchronizing these cross-chapter references, semantic drift occurs.