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novelty-matrix

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Compare contributions vs prior work.

Education & Research#delta#peer review#overlap#novelty#research evaluation#prior work#contribution analysis
AuthorWILLOSCAR
Version1.0.0
Installs0

System Documentation

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.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: novelty-matrix
Download link: https://github.com/WILLOSCAR/research-units-pipeline-skills/archive/main.zip#novelty-matrix

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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