Apply Karpathy's autoresearch loop (goal + mechanical fitness + mutable surface + keep-or-revert iteration) to ANY measurable workflow - code, content, sales, research, design, operations, not just ML or software. Use when the user asks to set up an overnight improvement loop, a keep-or-revert experiment workflow, iterative optimization, or asks "can I autoresearch this?". Includes a pre-loop triage that refuses fat-tailed, reflexive, or slow-feedback problems without adapting the mode.
$npx -y skills add bayramannakov/ai-native-product-skills --skill autoresearchInstalls into the current project.
Run `npx skills use "https://github.com/bayramannakov/ai-native-product-skills" --skill "bayramannakov/ai-native-product-skills/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/bayramannakov/ai-native-product-skills" that are relevant to the current task. Run `npx skills add "https://github.com/bayramannakov/ai-native-product-skills"` and select the relevant skills, then follow their instructions.