Can I use this for prompt version control?

Yes, it includes built-in patterns for Langfuse SDK integration, allowing you to manage production, staging, and canary prompt versions effectively.

How does this skill improve AI reasoning?

It implements Chain-of-Thought (CoT) patterns that guide models to break down problems step-by-step, which is proven to increase accuracy in logic-heavy tasks.

Does it support automatic prompt optimization?

Absolutely. It supports DSPy and other optimization frameworks to automatically tune prompt instructions and few-shot examples based on your specific datasets.

What is the Prompt Engineering Suite skill?

It is a specialized capability for Claude Code that provides standardized patterns and tools for designing, versioning, and optimizing AI prompts for production use.

Prompt Engineering Suite

Name: Prompt Engineering Suite
Author: yonatangross

byyonatangross

•

Data Science & ML

Optimizes LLM performance through production-ready patterns including Chain-of-Thought, dynamic few-shot learning, and automated prompt tuning.

The Prompt Engineering Suite is a comprehensive toolkit for Claude Code designed to transition AI development from manual experimentation to systematic engineering. It provides a robust collection of implementation patterns for advanced reasoning via Chain-of-Thought, context-aware few-shot learning, and structured output schemas. By integrating with industry-standard tools like Langfuse for versioning and DSPy for automatic optimization, this skill allows developers to manage the entire prompt lifecycle—from initial design and A/B testing to production monitoring and reflective evolution.

Key Features

01Automated prompt optimization using DSPy and Bayesian tuning

02Dynamic few-shot learning with example selection and ordering

03Structured output patterns for reliable JSON and API responses

0469 GitHub stars

05Chain-of-Thought (CoT) reasoning patterns for complex logic

06Production-grade prompt versioning and A/B testing via Langfuse

Use Cases

01Automating the discovery of optimal few-shot examples for specific domain tasks

02Improving model accuracy for complex mathematical or logical reasoning tasks

03Managing prompt deployments across staging and production environments safely

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yonatangross/orchestkit prompt-engineering-suite

For use in Claude.ai and ChatGPT

Download Skill