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

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학습 및 문서화

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

소개

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.

주요 기능

Automated extraction and comparison from CLAIMS.md files
Structured matrix output for clear positioning in manuscripts
Traceable citation pointers and methodological evidence
89 GitHub stars
Summary reports distinguishing incremental from novel work
Evidence-based mapping of overlaps and deltas for every claim

사용 사례

Assessing the novelty of a submission during the peer review process
Drafting the 'Related Work' or 'Introduction' section of an academic paper
Conducting a gap analysis within a specific research domain

소개

주요 기능

Automated extraction and comparison from CLAIMS.md files
Structured matrix output for clear positioning in manuscripts
Traceable citation pointers and methodological evidence
89 GitHub stars
Summary reports distinguishing incremental from novel work
Evidence-based mapping of overlaps and deltas for every claim

사용 사례

Assessing the novelty of a submission during the peer review process
Drafting the 'Related Work' or 'Introduction' section of an academic paper
Conducting a gap analysis within a specific research domain