You can test and improve your AI models by creating different versions of their settings. These versions are called variations. Each variation can use a different model, different prompts, or different parameters.
This skill helps you run experiments in a smart way. You change only one thing at a time. Then you compare the results to find what works best for cost, quality, speed, or accuracy.
It uses a tool called LaunchDarkly to manage your configs. You can clone a baseline variation and override just the parts you want to test. This makes it easy to stay organized and avoid mistakes.
Global
mkdir -p ~/.claude/skills/configs-variationsProject
mkdir -p .claude/skills/configs-variationsSource Repository
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