auto-research

Installation
SKILL.md

Auto Research

Optimize learning per unit of time. Start with one fast, revealing task, plan competing hypotheses, test them separately, combine verified winners, then expand coverage. The durable result is a parameter-effect map plus the best verified artifact. An experiment is a checkpoint, not a stopping point.

Workflow

  1. Recover the research state. Read the objective, user feedback, project instructions, and existing research records. Reconcile the handoff with actual artifacts and running jobs; collect a pending attempt before launching another. Identify the best verified artifact (the incumbent), active task, regression set, hypothesis queue, and remaining budget. Reuse existing record locations.
Installs
20
Repository
dzhng/skills
GitHub Stars
1.0K
First Seen
9 days ago
auto-research — dzhng/skills