How does the skill handle cases with no available related work?

If no citations or related works are found, the skill will mark the status as 'needs_related_work_list' and stop to ensure accuracy.

What is the primary goal of the Novelty Matrix skill?

It aims to make research positioning concrete by aligning specific contributions against the closest related works to identify unique innovations.

What are 'overlaps' and 'deltas' in the matrix output?

Overlaps represent components of the work that are shared with existing literature, while deltas represent the specific differences or new contributions introduced.

Can this skill be used without first running the claims-extractor?

No, it is designed to skip execution if a list of claims is missing, as it needs those claims to populate the matrix rows.

Does this skill require a pre-existing list of related works?

While providing a list is helpful, the skill can automatically use the manuscript's own citation list as an initial set for the matrix comparison.

Research Novelty Matrix

Name: Research Novelty Matrix
Author: WILLOSCAR

byWILLOSCAR

•

学习与文档

Generates a structured matrix comparing research contributions against prior work to identify specific overlaps and novel deltas.

The Novelty Matrix skill is a specialized tool for researchers and peer reviewers designed to rigorously evaluate the originality of a manuscript. It transforms abstract claims into a concrete comparison grid, cross-referencing each contribution against at least five related works. By distinguishing between 'overlaps' (what is shared) and 'deltas' (what is new), and providing traceable evidence from the text or citations, this skill helps authors position their work effectively and assists reviewers in identifying incremental versus breakthrough innovations.

主要功能

01Automated extraction and comparison from CLAIMS.md files

02Structured matrix output for clear positioning in manuscripts

03Traceable citation pointers and methodological evidence

0489 GitHub stars

05Summary reports distinguishing incremental from novel work

06Evidence-based mapping of overlaps and deltas for every claim

使用场景

01Assessing the novelty of a submission during the peer review process

02Drafting the 'Related Work' or 'Introduction' section of an academic paper

03Conducting a gap analysis within a specific research domain

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add willoscar/research-units-pipeline-skills novelty-matrix

For use in Claude.ai and ChatGPT

Download Skill