Prompt Engineering Pro

About

This skill integrates Anthropic’s official prompt engineering framework directly into your local development environment, enabling you to build higher-quality AI interactions. It provides a structured approach to optimizing response quality through seven core techniques, including multishot prompting, XML tagging, and Chain of Thought reasoning. By focusing on high-signal context and explicit constraints, it helps you debug problematic outputs, reduce token waste, and ensure consistent, production-grade results for complex coding tasks and agentic workflows.

Key Features

• Supports prompt chaining and response prefilling for forced structured formats like JSON.
• Implements Anthropic's 7 core prompt engineering techniques for maximum output quality.
• 5 GitHub stars
• Provides multishot prompting patterns with 3-5 diverse canonical examples.
• Utilizes XML tagging structures for semantic clarity and prompt organization.
• Optimizes context engineering to minimize token usage while maximizing signal.

Use Cases

• Enforcing strict data formatting requirements for automated pipelines and tool calls.
• Debugging inconsistent or low-quality AI outputs for complex programming logic.
• Designing efficient system prompts and context for specialized AI coding agents.