Summary
You give it a research topic and it fans out across arXiv and Semantic Scholar with multiple query angles, pulls back relevant papers, then does gap analysis to suggest novel hypotheses. The output is a JSON file with everything from paper metadata to a ranked hypothesis with justification. It's useful when you're starting a research project and need to map the landscape quickly, though the hypothesis quality will depend heavily on how well you frame the initial topic. The multi-query approach is smart since academic search can be finicky about phrasing. Think of it as a research assistant that reads widely and connects dots, not a replacement for your own domain expertise.
Install to Claude Code
npx -y skills add openraiser/nanoresearch --skill nanoresearch-ideation --agent claude-codeInstalls into .claude/skills of the current project.
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Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →An agent that runs the SEO playbooks that move rankings and ships PRs you control.
Get founding access →Connect Claude to +800M contacts, +150M companies. Find & Enrich leads in chat.
Try For Free →
