Prompt optimizer
A Cursor Agent Skill that iteratively evaluates and optimizes your prompts and rules using a **6-dimension scoring system**. Inspired by [Karpathy's autoresearch](https://github.com/karpathy/autoresearch) — your prompt is `train.py`, the composite score is `val_bpb`, and each conversation turn is one experiment.From the repository description
npx -y skills add ylmz-smz/prompt-optimizer --skill prompt-optimizerAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 3 stars3 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.