Checks whether a research idea exists in alphaXiv literature via structured reporting and caching.
npx skills add https://github.com/weathon/ideacheck --skill ideacheck
Please help me install this Agent Skill. Skill: ideacheck Source: https://github.com/weathon/ideacheck/tree/main Command: npx skills add https://github.com/weathon/ideacheck --skill ideacheck
ideacheck helps you determine whether a research idea is already covered in the literature, so you can avoid duplicating prior work and sharpen your contribution before you write.
Give ideacheck a research idea and ask it to check novelty, find the closest prior work, and generate a structured report with reading recommendations.
High-intent search queries and answers about installing and using this skill.
To perform a novelty check, you can use multi-agent search to scan alphaXiv literature, split the idea's scope, and generate a structured prior-art report. This evaluates the actual contribution against existing papers to avoid duplicating work.
Scope splitting in prior-art analysis separates background assumptions from the actual proposed contribution. This ensures the novelty check evaluates the correct, innovative part of your research idea rather than established context.
To generate a literature review from alphaXiv, provide your research concept to trigger multi-agent search and per-paper analysis. The system produces a ranked reading list and structured novelty report detailing overlap and differentiation.
Yes, you can get method-improvement suggestions by comparing candidate alphaXiv papers against your proposal. The analysis scores reading value and differentiation, yielding actionable recommendations to sharpen your contribution.
Novelty screening does work for research concepts across domains. The multi-agent search applies per-paper analysis and structured reporting to evaluate proposal differentiation regardless of the specific academic field.
The best way to find closest prior work is using multi-agent search to compare alphaXiv papers against your proposal. It scores overlap and reading value, generating a ranked reading list to guide your literature review.
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