Orchestrates end-to-end autonomous AI research projects using a two-loop architecture. The inner loop runs rapid experiment iterations with clear optimization targets. The outer loop synthesizes results, identifies patterns, and steers research direction. Routes to domain-specific skills for execution, supports continuous agent operation via Claude Code /loop and OpenClaw heartbeat, and produces research presentations and papers. Use when starting a research project, running autonomous experiments, or managing a multi-hypothesis research effort.
How to install 0-autoresearch-skill?
openraiser/nanoresearch/0-autoresearch-skill
$npx -y skills add openraiser/nanoresearch --skill 0-autoresearch-skillInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/openraiser/nanoresearch" --skill "openraiser/nanoresearch/0-autoresearch-skill"` 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/openraiser/nanoresearch" that are relevant to the current task. Run `npx skills add "https://github.com/openraiser/nanoresearch"` and select the relevant skills, then follow their instructions.
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