autoresearch
适合需要端到端研究编排与实验迭代的团队与代理，强调结果驱动的闭环优化。
可能会执行外部代码或访问网络，需注意权限与环境隔离。
以两环（实验-综合）架构自动编排完整的 AI 研究生命周期。
把 AI 研究项目自动化编排成内外两层循环：内循环快速跑实验、外循环综合结果并调整方向与策略。适合从头启动研究、跑大量自动化实验或管理多假设的长期项目。特点是能把任务路由到专门技能执行、持续运行并产出报告或论文，还支持 Claude Code /loop 和 OpenClaw heartbeat 保持长期运行。
▸ 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/Orchestra-Research/AI-Research-SKILLs/main/0-autoresearch-skill/SKILL.mdcurl -fsSL "https://raw.githubusercontent.com/Orchestra-Research/AI-Research-SKILLs/main/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