Nanoresearch Planning

Takes a research hypothesis from ideation and turns it into a concrete experiment plan with datasets, baselines, metrics, and ablation groups. You'd use this after you've settled on which idea to pursue and need to map out the actual validation work. It parses your ideation output, identifies publicly available datasets that fit, pulls baseline methods from the literature survey, and designs ablations to isolate each novel component. The output is a structured JSON blueprint with resource estimates and timeline. Purely reasoning based, no external tools. Honest take: this is the unglamorous planning step that separates publishable research from interesting shower thoughts, and automating it means you spend less time wrestling with experimental design decisions.

Install to Claude Code

npx -y skills add openraiser/nanoresearch --skill nanoresearch-planning --agent claude-code