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novelty-matrix

Generate a novelty matrix comparing submission contributions against related works.

497|38|Updated Jan 7, 2026
Search Tags:#delta#peer review#overlap#novelty#research evaluation#prior work#contribution analysis
One-click install
npx skills add https://github.com/WILLOSCAR/research-units-pipeline-skills --skill novelty-matrix
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: novelty-matrix
Source: https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/novelty-matrix
Command: npx skills add https://github.com/WILLOSCAR/research-units-pipeline-skills --skill novelty-matrix

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps researchers and reviewers clearly identify and articulate the novel contributions of a submission by systematically comparing them against existing related work.

Core Features & Use Cases

  • Contribution Alignment: Maps each claimed contribution to the most relevant prior art.
  • Overlap/Delta Identification: Differentiates between what is similar and what is genuinely new.
  • Evidence Tracking: Links claims of novelty to specific evidence within the submission or cited works.
  • Use Case: During peer review, use this skill to generate a structured matrix that details how a paper's proposed method differs from and builds upon previous research, providing concrete evidence for novelty claims.

Quick Start

Use the novelty-matrix skill to compare the contributions in output/CLAIMS.md against the provided related works.

Frequently Asked Questions about novelty-matrix

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

FAQPage Schema
How do I compare research contributions against prior work for novelty assessment?▼

To assess research novelty, generate a novelty matrix mapping submission claims to prior work, identifying overlaps and deltas with supporting evidence. This structured comparison clarifies genuine contributions during peer review.

What is a novelty matrix and how does it help with peer review?▼

A novelty matrix systematically maps a submission's claimed contributions against related works to identify overlaps and deltas with supporting evidence. It helps peer reviewers verify genuine novelty and position the research accurately.

How do I identify overlaps and deltas between my paper and related work?▼

Identify overlaps and deltas by mapping each claimed contribution to the most relevant prior art and tracking supporting evidence within the submission. This systematic alignment differentiates similar existing work from genuinely new contributions.

Do I need extracted claims and a list of related works to use a novelty matrix?▼

Yes, generating a novelty matrix requires extracted claims from the submission and a list of related works as inputs. These prerequisites ensure the contribution analysis accurately maps overlaps and deltas against the correct prior art.

Can I use contribution analysis for positioning my submission during peer review?▼

Yes, contribution analysis is applicable during peer review for positioning and novelty assessment. Generating a structured matrix detailing how a method differs from previous research provides concrete evidence for reviewers.

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