Software Development
Autoresearch
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.
- Publisher / source
- Orchestra-Research/AI-Research-SKILLs (found on skills.sh, an awesome list)
- Upstream record
- Orchestra-Research/AI-Research-SKILLs
- Version
- Version 1
- Published
- Publication review
- Approved for publication
- Content fingerprint
b7ca0d7a6e905da85a8b494d3fe398ac78eaa278854f67b50a34f2b37a9a2b78