design-coherence-check

Map ontology, epistemology, methodology, and methods to identify research design mismatches.

Updated Apr 17, 2026
One-click install
npx skills add https://github.com/RenJW418/RenJW-Research_skill --skill design-coherence-check
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: design-coherence-check
Source: https://github.com/RenJW418/RenJW-Research_skill/tree/main/design-coherence-check
Command: npx skills add https://github.com/RenJW418/RenJW-Research_skill --skill design-coherence-check

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

When a research design mixes incompatible ontology/epistemology/methodology/methods or uses mismatched validity language, it often becomes a target for reviewer criticism; this skill helps you detect and repair those internal inconsistencies before writing or revising your methodology section.

Core Features & Use Cases

  • Four-layer design reconstruction: Infers ontology, epistemology, methodology type, and specific methods from your research question and design description.
  • Seam-by-seam consistency checking: Evaluates coherence across the three key interfaces (ontology→epistemology, epistemology→methodology, methodology→methods) plus专项 checks.
  • Actionable revision guidance: Produces a consistency score, pinpoints contradiction types, and suggests at least two modification directions with reviewer-risk explanations.

Quick Start

Ask your agent to run the design-coherence-check on your research question and paste your current methodology/design description to produce a contradiction report and revision options.

Frequently Asked Questions about design-coherence-check

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

FAQPage Schema
How do I check my research design for ontology and epistemology mismatches before peer review?

To check research design coherence, map your ontology, epistemology, methodology, and methods to identify mismatches. This process evaluates the three key interfaces between these layers to detect internal inconsistencies that typically trigger reviewer objections.

What is validity language consistency in methodology and how does it affect manuscript acceptance?

Validity language consistency ensures your terminology aligns with your chosen methodology type. Mismatched validity language across qualitative, quantitative, or mixed-method designs often becomes a direct target for reviewer criticism during the peer review process.

How do I fix a methodology section with incompatible research methods and philosophical assumptions?

Fix incompatible research methods by performing a seam-based compatibility test across your design layers. This generates targeted modification options with severity ratings and reviewer-risk explanations to guide your methodology section revisions.

Can I use a coherence check on both qualitative and quantitative mixed-method research designs?

Yes, you can use a coherence check on qualitative, quantitative, and mixed-method research designs. It reconstructs your four-layer design assumptions from your research question to assess methodology-philosophy alignment regardless of the specific approach.

What information do I need to provide to run a research design consistency check?

To run a research design consistency check, you need to provide your research question and your current methodology or design description. The tool extracts your four-layer assumptions from this input to produce a contradiction report.

Why does my research design get criticized for epistemology and methodology misalignment?

Your research design gets criticized because misalignment between epistemology and methodology creates internal logical gaps. Reviewers target these seams where your philosophical assumptions fail to justify your chosen methodology type and specific methods.