mshumer/gpt-prompt-engineer

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

9675 stars · 681 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A Jupyter Notebook-based tool that automatically generates, tests, and ranks LLM prompts for a given task using GPT-4, GPT-3.5-Turbo, or Claude 3 Opus. It evaluates candidate prompts against user-provided test cases and ranks them with an ELO rating system to surface the best performers.

Use cases

• find the best prompt for my llm task
• automatically generate and rank prompts
• optimize system prompts with test cases
• evaluate prompts with an elo rating system
• convert expensive model outputs to a cheaper model
• auto-generate test cases for prompt evaluation

When to choose

• you want to experimentally compare many prompt variants against test cases
• you work in notebooks and want a quick, low-setup prompt optimization workflow
• you want to distill a strong expensive model's behavior into a cheaper faster model

When to avoid

• you need a production-grade prompt management or versioning platform
• you want a GUI or CLI tool rather than running notebooks
• your evaluation requires human review or domain-specific metrics beyond pairwise comparison

Facets

library · maturity active

prompt-engineering llm-inference benchmarking testing large-language-models artificial-intelligence developer-tools python jupyter-notebook elo-rating prompt-optimization openai anthropic-claude google-colab web-server

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markdown · JSON · MCP: product_card(name="mshumer/gpt-prompt-engineer")