memory-meta

What problem does it solve?

Effectively managing Claude Code's static memory (CLAUDE.md files) for optimal context, organization, and token efficiency can be complex, especially with hierarchies and import syntax. This skill provides stable principles and navigation to master memory management.

Core Features & Use Cases

• Stable Memory Principles: Teaches timeless principles like progressive disclosure, strategic emphasis, and token efficiency that are fundamental to LLM memory systems.
• Memory Organization Patterns: Guides users on structuring CLAUDE.md files using hub-and-spoke, always-loaded vs. on-demand content, and token budget strategies.
• Efficient Documentation Lookup: Provides a comprehensive keyword registry for querying the official-docs skill for current import syntax, hierarchy details, and best practices.
• Troubleshooting & Best Practices: Offers quick decision trees and diagnostic steps for common memory loading, import, and hierarchy conflict issues.
• Use Case: A project manager wants to organize their project's CLAUDE.md files to ensure critical rules are always in context while detailed documentation is loaded only when needed. This skill provides the patterns and principles to achieve this token-efficient and well-structured memory system.

Quick Start

Use the memory-meta skill to understand the best practices for organizing CLAUDE.md files in a large project.