dspy-simba-optimizer

SKILL.md

Optimize DSPy programs using mini-batch Bayesian optimization with statistical analysis of feedback signals.

| program | dspy.Module | Program to optimize | | trainset | list[dspy.Example] | Training examples | | metric | callable | Returns float or dspy.Prediction(score=..., feedback=...) | | maxsteps | int | Number of optimization steps | | bsize | int | Mini-batch size |

This skill should be used when the user asks to "optimize with SIMBA", "use Bayesian optimization", "optimize agents with custom feedback", mentions "SIMBA optimizer", "mini-batch optimization", "statistical optimization", "lightweight optimizer", or needs an alternative to MIPROv2/GEPA for programs with rich feedback signals. Source: omidzamani/dspy-skills.

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/omidzamani/dspy-skills --skill dspy-simba-optimizer Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

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