writing-prompts

What problem does it solve?

This skill helps users systematically craft prompts to maximize LLM reliability, accuracy, and task performance by providing structured methodologies, templates, and best practices.

Core Features & Use Cases

• Prompt design templates for consistent task framing across domains
• 2-5 few-shot examples to improve pattern adherence
• Chain-of-Thought and structured reasoning guidance to improve complex task execution
• Output formatting and validation guidance to ensure machine-readable results
• Evaluation and iteration guidance for prompt testing and refinement
• Use Cases: designing task prompts for content generation, code reviews, data extraction, and analysis pipelines

Quick Start

Start with a simple task: "Generate a concise product description for a new AI assistant." Then create a system prompt, add 2-3 examples, specify the desired output format, and run a quick test with the target audience.