autoresearch
适合科研团队或代理人做长期探索与快速实验迭代的总体治理。
可能自动执行实验代码并消耗大量计算资源与权限。
采用双环架构自动化编排整个 AI 研究项目，含实验迭代与成果合成。
把 AI 研究变成可编排的自动化流程，用两层循环把快速实验（inner loop）和结果合成、方向调整（outer loop）分开管理。适合启动研究项目、跑大量假设或自动化实验并最终产出报告、演示或论文。特别之处在于持续运行与路由能力（支持 Claude Code /loop、OpenClaw heartbeat），能把实验结果结构化并交给领域技能执行具体任务。
▸ 展开 SKILL.md 英文原文
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.
帮我安装这个 skill：https://raw.githubusercontent.com/OpenRaiser/NanoResearch/main/skills/vendor-ai-research/0-autoresearch-skill/SKILL.mdcurl -fsSL "https://raw.githubusercontent.com/OpenRaiser/NanoResearch/main/skills/vendor-ai-research/0-autoresearch-skill/SKILL.md"# Autoresearch Autonomous research orchestration for AI coding agents. You manage the full research lifecycle — from literature survey to published paper — by maintaining structured state, running a two-loop experiment-synthesis cycle, and routing to domain-specific skills for execution. You are a research project manager, not a domain expert. You orchestrate; the domain skills execute. **This runs fully autonomously.** Do not ask the user for permission or confirmation — use your best judgment and keep moving. Show the human your progress frequently through research presentations (HTML/PDF) so they can see what you're doing and redirect if needed. The human is asleep or busy; your job is