braintrust-skills

Improve Braintrust-backed AI agents through an evidence-backed loop over production traces, measurement, datasets, code changes, evals, and portable exit handoffs. Use when starting an agent-improvement session, running CI/scheduled/post-deploy flywheels, investigating production score degradation, finding eval coverage gaps, or deciding whether to add/update scorers, datasets, instrumentation, or agent behavior.

Use when analyzing and reducing Braintrust usage costs with the bt CLI, including logs/GB ingest, scorers, Topics, Gateway LLM spend, datasets, experiments, attachments, or large trace payloads.