Can I use this for existing projects?

Yes, the skill includes a dedicated improvement flow designed to audit existing documentation and refactor it into an optimized structure incrementally.

How does this skill help with security?

It identifies the anti-pattern of including secrets in memory files and provides specific guidelines for using environment variables or local-only configuration files.

What are 'paths' conditions in memory rules?

Paths are YAML configurations that tell Claude to only apply specific instructions when working within files that match certain glob patterns, reducing irrelevant context.

What is the benefit of splitting CLAUDE.md into smaller rules?

Smaller, focused rule files are more token-efficient, easier for the AI to process contextually, and simpler for teams to maintain via version control.

Memory Management Best Practices

Name: Memory Management Best Practices
Author: biwakonbu

bybiwakonbu

学习与文档

Optimizes Claude's memory files by providing standardized patterns, hierarchical structures, and implementation checklists to improve AI reasoning.

关于

This skill serves as a comprehensive guide for organizing and maintaining Claude's project memory (CLAUDE.md and .claude/rules). It provides developers with actionable patterns for concise documentation, specific naming conventions, and the effective use of 'paths' conditions to target specific files. By implementing these best practices, teams can reduce token consumption, prevent instruction ambiguity, and ensure that Claude consistently adheres to project-specific rules without performance degradation or security risks.

主要功能

Identifies memory anti-patterns like oversized files and vague instructions
Includes comprehensive checklists for auditing project memory health
0 GitHub stars
Provides standardized templates for CLAUDE.md and project rules
Offers practical team-sharing strategies for consistent rule management
Guides the implementation of file-specific logic using 'paths' conditions

使用场景

Auditing existing rules to remove duplicates and improve token efficiency
Refactoring a bloated CLAUDE.md into an organized rule hierarchy
Setting up a new project with optimized AI memory from day one

关于

主要功能

Identifies memory anti-patterns like oversized files and vague instructions
Includes comprehensive checklists for auditing project memory health
0 GitHub stars
Provides standardized templates for CLAUDE.md and project rules
Offers practical team-sharing strategies for consistent rule management
Guides the implementation of file-specific logic using 'paths' conditions

使用场景

Auditing existing rules to remove duplicates and improve token efficiency
Refactoring a bloated CLAUDE.md into an organized rule hierarchy
Setting up a new project with optimized AI memory from day one