Optimizes and refines Claude Code prompt documents to ensure high-quality, token-efficient AI interactions.
Empowers developers to master Claude Code by providing a structured approach to crafting and improving core prompt documents like CLAUDE.md, SKILL.md, and custom slash commands. It focuses on maximizing prompt performance through a rigorous analysis and improvement workflow that prioritizes conciseness, specific actionability, and structural clarity using XML tags. By leveraging this skill, users can ensure their project instructions are clear, their workflows are automated efficiently, and their token usage remains lean, allowing for more productive and precise AI-assisted development.
Key Features
01Standardizes prompt structures using XML tags for better model recognition
02Prioritizes brevity and token efficiency by assuming baseline model intelligence
03Provides a comprehensive workflow for analyzing, improving, and verifying prompt documents
04Transforms vague descriptions into specific, actionable directives and constraints
05Supports the creation of project-specific rules, reusable skill definitions, and custom automation commands
061 GitHub stars
Use Cases
01Reviewing and refining project-level instructions in CLAUDE.md
02Building new reusable SKILL.md definitions for specific development domains
03Optimizing custom slash commands to automate repetitive coding tasks
