What is the DSPy Evaluation Suite?

It is a capability for Claude Code that helps you systematically measure the performance of DSPy programs using metrics like exact match, semantic F1, and custom scoring functions.

How do I compare two different DSPy programs?

The suite includes a comparison workflow that evaluates multiple programs against the same devset, ranks them by score, and generates a comparison report.

Can I use custom metrics with this skill?

Yes, the skill provides templates for basic, multi-factor, and even GEPA-compatible feedback metrics to suit your specific task requirements.

Does it support parallel execution?

Yes, it includes configurations for parallel threads to run evaluations across your dataset quickly using DSPy's built-in evaluation utilities.

DSPy Evaluation Suite

Name: DSPy Evaluation Suite
Author: OmidZamani

byOmidZamani

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데이터 과학 및 ML

Systematically measures and evaluates DSPy program performance using built-in metrics and custom scoring functions.

The DSPy Evaluation Suite is a specialized Claude Code skill designed to help developers rigorously test and benchmark their Language Model programs. It provides a standardized framework for setting up the DSPy Evaluate class, implementing semantic or exact-match metrics, and running parallel evaluations across datasets. Whether you are establishing a performance baseline, comparing different model variants, or validating production readiness, this skill automates the creation of robust evaluation pipelines to ensure your AI modules meet specific quality standards.

주요 기능

01Automated comparison and ranking of multiple program variants

02Standardized setup for DSPy's Evaluate class with parallel execution support

03Exportable reporting for tracking model quality and accuracy over time

04Framework for creating multi-factor and GEPA-compatible custom metrics

0531 GitHub stars

06Implementation of built-in metrics like answer_exact_match and SemanticF1

사용 사례

01Comparing performance across different LLM backends or program architectures

02Benchmarking RAG pipelines before and after prompt optimization

03Establishing quality gates for production deployments of DSPy modules

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add omidzamani/dspy-skills dspy-evaluation-suite

For use in Claude.ai and ChatGPT

Download Skill