autoresearch

Autoresearch is a closed-loop ML experimentation workflow:

• human writes program.md
• agent edits train.py
• prepare.py stays fixed
• every run gets the same 300-second budget
• lower val_bpb wins
• regressions get reverted

This skill should behave like a routing-first front door, not a giant tutorial. Pick the user's mode, enforce the immutable-harness rules, then hand them to the smallest useful script or reference.

When to use this skill