Prompt Engineering

advanceddevelopmentMin 32K context

Designs, optimizes, and iterates on prompts for LLM applications. Covers system prompt design, few-shot examples, chain-of-thought reasoning, output formatting, and prompt testing strategies. Helps build reliable AI-powered features.

prompts llm ai-engineering system-prompts few-shot chain-of-thought

Use Cases

Designing system prompts for AI applications
Optimizing prompts for accuracy and consistency
Building few-shot example sets
Creating evaluation criteria for prompt outputs
Migrating prompts between different models

Example Prompt

Help me design a system prompt for the following use case:

Application: [describe your AI feature]
Target model: [model name]
Expected input: [what users will provide]
Expected output: [what the AI should produce]
Constraints: [format, length, tone, safety requirements]

Please provide:
1. System prompt with clear role, context, and instructions
2. 3 few-shot examples (input → expected output)
3. Edge cases to handle explicitly
4. Evaluation criteria for testing prompt quality
5. Suggestions for iteration and improvement

Recommended Models

claude-opus-4-6 gpt-5 gemini-2-5-pro

Compatible Tools

claude-codecursorgithub-copilotkiroany

Modalities

Input: text

→

Output: text

Related Skills

documentation-generator data-analysis

Author

OpenModels Community

@openmodelsrun