thesis-consistency

Validate Master's thesis chapters for terminology, decisions, and DSR compliance.

2|Updated Feb 23, 2026
One-click install
npx skills add https://github.com/MustDemir/ai-context-vault --skill thesis-consistency
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: thesis-consistency
Source: https://github.com/MustDemir/ai-context-vault/tree/main/skills/thesis-consistency
Command: npx skills add https://github.com/MustDemir/ai-context-vault --skill thesis-consistency

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the critical need for maintaining consistency and coherence across an entire academic thesis, preventing subtle errors that can undermine the work's credibility.

Core Features & Use Cases

  • Cross-Chapter Validation: Detects inconsistencies in terminology, decisions, and references between different chapters.
  • Compliance Checks: Verifies adherence to page budgets, formatting guidelines, and academic frameworks like DSR.
  • Drift Detection: Identifies discrepancies between planned content (decision papers, chapter states) and actual written text.
  • Use Case: Before submitting a chapter for review, run this Skill to ensure all defined terms are used correctly throughout the document, that decisions made in earlier chapters are respected, and that the chapter stays within its allocated page count.

Quick Start

Run a comprehensive consistency check across all thesis chapters to identify any cross-chapter discrepancies.

Frequently Asked Questions about thesis-consistency

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

FAQPage Schema
How do I check thesis consistency across multiple chapters?

To check thesis consistency across multiple chapters, you need a validation process that cross-references terminology, decisions, and forward references. This skill analyzes YAML chapter states, Markdown decision papers, and DOCX full texts to detect cross-chapter discrepancies automatically.

What is DSR framework compliance in academic writing?

DSR framework compliance in academic writing ensures your thesis adheres to Design Science Research guidelines. This process validates decision coherence, verifies that documentation aligns with actual text, and checks for drift between planned content and written chapters.

How do I detect terminology drift between thesis documentation and text?

To detect terminology drift between thesis documentation and text, compare your planning documents against the written chapters. This skill identifies discrepancies by analyzing Markdown decision papers and DOCX full texts to ensure defined terms are used correctly throughout.

Can I validate page budget adherence for a Master's thesis?

Yes, you can validate page budget adherence for a Master's thesis. The consistency check verifies that each chapter stays within its allocated page count by cross-referencing predefined YAML chapter states against the actual written DOCX full texts.

Does this consistency check require YAML and Markdown files?

Yes, this consistency check requires YAML chapter states and Markdown decision papers alongside DOCX full texts. These input formats provide the planned content and structural metadata needed to detect drift and validate decisions against the actual thesis text.

When should I run a cross-chapter validation on my thesis?

You should run a cross-chapter validation on your thesis before submitting any chapter for review. This ensures all defined terms are used correctly, earlier decisions are respected, and the chapter adheres to formatting guidelines and page budgets.