The analyst has assigned you a research cycle, or you have identified a metric you want to improve through systematic experimentation. You will form a hypothesis, make a targeted change, measure the outcome against a baseline, and decide whether to keep or discard the change. You repeat this loop until the metric improves or you exhaust viable hypotheses. This is not ad-hoc research — it is structured scientific iteration with a defined metric, a hypothesis, and a measurable result.
$npx -y skills add grandamenium/cortextos --skill autoresearchInstalls into the current project.
Run `npx skills use "https://github.com/grandamenium/cortextos" --skill "grandamenium/cortextos/autoresearch"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/grandamenium/cortextos" that are relevant to the current task. Run `npx skills add "https://github.com/grandamenium/cortextos"` and select the relevant skills, then follow their instructions.