Agent skill · software engineering · aiskillstore
senior-prompt-engineer
World-class prompt engineering skill for LLM optimization, prompt patterns, structured outputs, and AI product development. Expertise in Claude, GPT-4, prompt design patterns, few-shot learning, chain-of-thought, and AI evaluation. Includes RAG optimization, agent design, and LLM system architecture. Use when building AI products, optimizing LLM performance, designing agentic systems, or implementing advanced prompting techniques.
Why this skill is useful
Adds 3 executable scripts for prompt optimization, RAG evaluation, and agent orchestration that enhance LLM performance and deployment capabilities.
What it needs
Requires docker, python installed locally. About 3k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Senior Prompt Engineer World-class senior prompt engineer skill for production-grade AI/ML/Data systems. Quick Start Main Capabilities Core Expertise This skill covers world-class capabilities in: Advanced production patterns and architectures Scalable system design and implementation Performance optimization at scale MLOps and DataOps best practices Real-time processing and inference Distributed computing frameworks Model deployment and monitoring Security and compliance Cost optimization Team leadership and mentoring Tech Stack Languages: Python, SQL, R, Scala, Go ML Frameworks: PyTorch, TensorFlow, Scikit-learn, XGBoost Data Tools: Spark, Airflow, dbt, Kafka, Databricks LLM Frameworks: LangChain, LlamaIndex, DSPy Deployment: Docker, Kubernetes, AWS/GCP/Azure Monitoring: MLflow, Weights & Biases, Prometheus Databases: PostgreSQL, BigQuery, Snowflake, Pinecone Reference Documentation 1. Prompt Engineering Patterns Comprehensive guide available in references/promptengineeringpatterns.md covering: Advanced patterns and best practices Production implementation strategies Performance optimization techniques Scalability considerations Security and compliance Real-world case studies 2. Llm Evaluation Frameworks Complete workflow documentation in references/llmevaluationframeworks.md including: Step-by-step processes Architecture design patterns Tool integration guides Performance tuning strategies Troubleshooting procedures 3. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/senior-prompt-engineer--308986