ppw:logic

Analyze academic manuscripts for logical consistency and generate bilingual issue reports.

382|21|Updated Jan 30, 2026
One-click install
npx skills add https://github.com/Lylll9436/Paper-Polish-Workflow-skill --skill ppw-logic
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ppw:logic
Source: https://github.com/Lylll9436/Paper-Polish-Workflow-skill/tree/main/skills/ppw-logic
Command: npx skills add https://github.com/Lylll9436/Paper-Polish-Workflow-skill --skill ppw-logic

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill reads a full academic paper and verifies logical consistency across its sections, identifying four issue types—argument chain gaps (AC-), unsupported claims (UC-), terminology inconsistencies (TI-), and number contradictions (NC-)—and produces a bilingual report to improve manuscript coherence.

Core Features & Use Cases

  • Maps the argument chain across Introduction, Methods, Results, Discussion, and Conclusion and checks coherence from claim to conclusion.
  • Detects AC-, UC-, TI-, NC- issues and emits a structured bilingual report with English and Chinese guidance.
  • Produces Part 1 (English) argument-chain view and Part 2 (bilingual) issue list to guide revisions.

Quick Start

Provide the full manuscript to ppw:logic to generate a bilingual logic verification report.

Frequently Asked Questions about ppw:logic

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

FAQPage Schema
How do I check the logical consistency of an academic paper across all sections?

Checking logical consistency involves reading a full academic manuscript to verify the argument chain across Introduction, Methods, Results, Discussion, and Conclusion. This process maps claims and detects gaps to improve manuscript coherence.

What types of logical issues can paper analysis detect in academic writing?

Paper analysis for academic writing detects four specific issue types: argument chain gaps (AC-), unsupported claims (UC-), terminology inconsistencies (TI-), and number contradictions (NC-). These categories cover gaps from claims to conclusions.

How do I identify unsupported claims and terminology inconsistencies in my manuscript?

Identifying unsupported claims and terminology inconsistencies requires analyzing the manuscript's argument chain. Providing the full text allows the tool to flag unsupported claims (UC-), terminology inconsistencies (TI-), argument chain gaps, and number contradictions.

Can I generate a bilingual logic verification report for academic writing?

Yes, generating a bilingual logic verification report for academic writing is possible. The output includes an English argument-chain view and a bilingual issue list with Chinese guidance to direct manuscript revisions.

Does manuscript logic verification work for papers missing a Discussion or Conclusion section?

Manuscript logic verification works by analyzing the Introduction, Methods, Results, Discussion, and Conclusion as present in the text. It maps claims and detects gaps based on available sections to produce the argument chain view.

What is the best way to map an argument chain from introduction to conclusion?

The best way to map an argument chain is to process the full manuscript text, checking coherence from claim to conclusion across all sections. This yields a structured English chain view and a bilingual issue list guiding revisions.