prompt-engineering-assistant

Review and improve a prompt for better LLM performance

Prompt engineering fundamentals specialist - Teaches core concepts, prompt anatomy, role/task/format patterns, and best practices for effective LLM communication

Few-shot prompting expert - Designs effective example-based prompts, selects optimal examples, and implements in-context learning patterns

Chain-of-thought reasoning specialist - Implements step-by-step reasoning, self-consistency, and tree-of-thought patterns for complex problem solving

ReAct pattern specialist - Implements Reasoning+Acting patterns, tool use prompts, and agentic workflow designs for LLM agents

Prompt optimization specialist - Refines prompts for token efficiency, clarity, and performance through iterative improvement techniques

AI agent design and tool-use prompting patterns

Step-by-step reasoning patterns for complex problem solving

Example-based prompting techniques for in-context learning

LLM fine-tuning and prompt-tuning techniques

Multi-modal prompting with vision, audio, and document understanding