What is the Senior Prompt Engineer skill?

It is a specialized capability for Claude Code designed to help developers build, optimize, and scale production-grade AI applications using advanced prompt engineering and system architecture.

How does this help with production performance?

It provides specific P95/P99 latency targets, throughput optimization strategies, and best practices for monitoring, security, and high availability.

What tech stack does this skill cover?

It includes support for major frameworks like LangChain, LlamaIndex, and DSPy, as well as MLOps tools like MLflow, Pinecone, and Kubernetes.

Does this skill support RAG implementation?

Yes, it includes specialized patterns for optimizing Retrieval-Augmented Generation (RAG) and frameworks for evaluating retrieval and generation performance.

Can I use this for agentic systems?

Absolutely. The skill provides technical references and implementation examples for designing and orchestrating complex multi-agent systems and autonomous workflows.

Senior Prompt Engineering

Name: Senior Prompt Engineering
Author: BbgnsurfTech

byBbgnsurfTech

•

데이터 과학 및 ML

Optimizes LLM performance through advanced prompt design, agentic system architecture, and rigorous evaluation frameworks.

This skill equips Claude with the expertise of a world-class prompt engineer to help you build production-ready AI systems. It provides deep guidance on complex prompt patterns like Chain-of-Thought and few-shot learning, while offering architectural patterns for RAG optimization and multi-agent orchestration. Beyond simple prompting, it focuses on enterprise-grade requirements including latency targets, MLOps best practices, security compliance, and scalable data processing, making it an essential tool for developers transitioning AI prototypes into robust, high-performance products.

주요 기능

013 GitHub stars

02Agentic system architecture and multi-agent orchestration

03Production MLOps, deployment strategies, and monitoring

04Advanced prompt design patterns (Few-shot, Chain-of-Thought, DSPy)

05Enterprise-scale security, PII handling, and cost optimization

06RAG pipeline optimization and performance evaluation

사용 사례

01Architecting autonomous agent workflows for complex task automation

02Refining LLM prompts for production-grade reliability and cost efficiency

03Designing and deploying scalable RAG systems with built-in evaluation

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add bbgnsurftech/claude-skills-collection senior-prompt-engineer

For use in Claude.ai and ChatGPT

Download Skill