prompting

What problem does it solve?

Crafting effective AI prompts is challenging, often leading to verbose, low-quality outputs and wasted context tokens. This skill provides a systematic framework to create concise, high-signal prompts, ensuring better AI performance and more efficient LLM interactions.

Core Features & Use Cases

• Context Engineering Principles: Guides you through Anthropic's best practices for optimizing context, maximizing signal-to-noise ratio, and enabling progressive information discovery.
• Structured Prompt Design: Offers Markdown structure standards and writing style guidelines for creating clear, direct, and actionable prompts.
• Use Case: Struggling to get a specific, high-quality output from an AI? Use this skill to refine your prompt, ensuring it's clear, concise, and follows best practices for optimal results and reduced token usage.

Quick Start

Ask for guidance on prompt engineering

"How can I improve my prompt for X using context engineering principles?"

Or read the full guide

read ${PAI_DIR}/skills/prompting/CLAUDE.md