Optimizes AI agent performance through Anthropic-based context engineering and prompt structure standards.
The AI Prompting Standards skill provides a framework for advanced prompt and context engineering based on Anthropic best practices. It helps developers move beyond basic instructions by focusing on the 'attention budget' of Large Language Models, emphasizing high-signal tokens and efficient context management. By implementing progressive discovery and structured Markdown patterns, this skill ensures that AI agents remain accurate and performant even as project complexity grows, making it an essential tool for anyone building sophisticated agentic workflows.
主な機能
01Comprehensive checklist for validating instructions and constraints
02Signal-to-noise optimization to reduce LLM hallucination and verbosity
031 GitHub stars
04Anthropic-aligned prompt structure and markdown standards
05Progressive discovery patterns for just-in-time information loading
06Context engineering for optimal token usage and attention management
ユースケース
01Refining long-context instructions to improve tool-calling accuracy
02Designing complex system prompts for specialized AI agents
03Standardizing documentation and prompt headers across a development team
