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Read the original: Claude Blog·PublishedPickAI score66

Claude skill commands build evals and hillclimb them against overfitting

Automating eval design and hillclimbing with Claude

AISummary

Anthropic added build-eval and hillclimb commands to its claude-api skill for designing evaluations and iteratively improving applications against them. The article covers eval design principles, including production-representative tasks, headroom and low variance, and guards against overfitting through train/test splits. Two examples report results: a customer support benchmark where cost fell to under half while accuracy rose, and a claude-api skill eval that rose from 66% to 88%.

AIWhy it matters

The article gives a concrete workflow for designing evals and hillclimbing without overfitting, with two worked cost and performance examples that show the tradeoffs.

Read the original claude.dev

Source: Claude Blog · claude.dev