Anthropic Prompt Engineer

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This skill empowers users to master the science of prompt engineering by applying Anthropic's proven methodologies to create precise, reliable, and production-ready instructions for Claude. It provides expert guidance on structuring complex prompts using semantic XML tags, implementing chain-of-thought reasoning, and utilizing few-shot examples to improve output consistency and reduce hallucinations. Whether building a new prompt from scratch or refining an existing one for better performance on Claude 4.x models, this tool ensures efficient token usage and grounded, factual responses for any task.

Características Principales

• Generates structured prompts from requirements using semantic XML tagging
• Applies prefilling techniques to control response format and style
• 6 GitHub stars
• Implements Chain of Thought (CoT) reasoning for complex logic tasks
• Guides the use of few-shot examples to teach specific response patterns
• Optimizes existing prompts to improve output consistency and accuracy

Casos de Uso

• Refining vague instructions into structured prompts that return reliable JSON data
• Designing complex, multi-step prompts for production-grade AI applications
• Debugging inconsistent model outputs by adding clear context and examples