Prompt Engineer
Skill Verified ActiveWrites, refactors, and evaluates prompts for LLMs — generating optimized prompt templates, structured output schemas, evaluation rubrics, and test suites. Use when designing prompts for new LLM applications, refactoring existing prompts for better accuracy or token efficiency, implementing chain-of-thought or few-shot learning, creating system prompts with personas and guardrails, building JSON/function-calling schemas, or developing prompt evaluation frameworks to measure and improve model performance.
To serve as an expert resource for users looking to create, refine, and test prompts for large language models, ensuring optimal performance, accuracy, and efficiency.
Features
- Optimizing prompts for accuracy and token efficiency
- Generating structured output schemas (JSON, function calling)
- Implementing advanced prompting patterns (CoT, Few-shot, ReAct)
- Developing evaluation frameworks and test suites
- Providing guidance on system prompts and context management
Use Cases
- Designing prompts for new LLM applications
- Refactoring existing prompts for better performance
- Building reliable and consistent LLM interactions
- Creating robust prompt evaluation frameworks
Non-Goals
- Directly executing prompts against an LLM
- Managing LLM model deployment or infrastructure
- Replacing the need for user-defined task logic
Installation
First, add the marketplace
/plugin marketplace add jeffallan/claude-skills/plugin install claude-skills@fullstack-dev-skillsQuality Score
VerifiedSimilar Extensions
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