Last commit on July 4, 2026·Created on March 12, 2026
drivelineresearch/autoresearch-claude-code
“Keeps the agent experimenting without ever asking whether to continue.”
Combined rank
#340
across all skills
In Research
#20
category rank
Stars
335
+0.6% in last 7d
Forks
34
+3.0% in last 7d
Watchers
2
0.0% in last 7d
Traction scoreGitHub stars can be faked, so popularity alone can be misleading. Traction Score looks for broader signs of real attention, adoption, and active maintenance.
This skill turns Claude Code into an autonomous experiment runner. It sets up a loop that tries ideas, logs results, commits or reverts changes, and regenerates a dashboard—all without human intervention. The loop only stops when a real budget boundary (max runs, wall-clock time, or target metric) is hit or the user explicitly ends it. It helps ML engineers, researchers, and AI agent developers who need to optimize a metric across hundreds of runs without sitting at the terminal.