Can it help with new projects?

Yes, the skill includes templates and decision trees to help you generate a comprehensive CLAUDE.md file from scratch for any new codebase.

Does this skill analyze my code directly?

It primarily focuses on the metadata and instruction layer (CLAUDE.md), but it guides you to include critical code-level details like schemas and path aliases.

How does this skill save tokens?

It employs compression techniques like replacing long paragraphs with markdown tables and code-based examples to increase information density.

When should I use the Claude Refactoring skill?

Use it when Claude starts making repetitive errors, when your context window feels cluttered, or when your project architecture undergoes significant changes.

What is a CLAUDE.md file?

A CLAUDE.md file is a project-level memory file used by Claude Code to understand the specific tech stack, conventions, and rules of a repository.

Claude Memory Refactorer

Name: Claude Memory Refactorer
Author: rungchan2

byrungchan2

Productivity & Workflow

Optimizes CLAUDE.md memory files to improve AI context efficiency and instruction clarity through structured refactoring.

About

This skill enhances Claude Code's project understanding by analyzing, restructuring, and optimizing the critical CLAUDE.md memory file. It transforms verbose documentation into high-density instructions, identifies information gaps in technical stacks or schemas, and reduces token consumption. By implementing standardized patterns like Pass/Fail code examples and error-prevention tables, it ensures the AI follows project-specific guardrails with higher accuracy and fewer repetitive questions.

Key Features

Context Efficiency Optimization: Reduces token usage by converting prose into high-density tables and code snippets.
Workflow Integration: Includes automated checklists and triggers for updating documentation based on schema changes or repeated errors.
Gap Analysis & Scoring: Evaluates existing CLAUDE.md files for missing critical sections like path aliases or architecture diagrams.
0 GitHub stars
Standardized Templates: Provides ready-to-use structures for project headers, tech stacks, and 'Not To Do' lists.
Error Pattern Codification: Formalizes common project mistakes and their corrections using clear Pass/Fail patterns.

Use Cases

Troubleshooting recurring AI hallucinations by codifying specific database schemas and architectural rules.
Refactoring bloated or disorganized CLAUDE.md files that waste token space and cause AI confusion.
Bootstrapping new repositories with a professional-grade memory file to set clear development guardrails.

About

Key Features

Context Efficiency Optimization: Reduces token usage by converting prose into high-density tables and code snippets.
Workflow Integration: Includes automated checklists and triggers for updating documentation based on schema changes or repeated errors.
Gap Analysis & Scoring: Evaluates existing CLAUDE.md files for missing critical sections like path aliases or architecture diagrams.
0 GitHub stars
Standardized Templates: Provides ready-to-use structures for project headers, tech stacks, and 'Not To Do' lists.
Error Pattern Codification: Formalizes common project mistakes and their corrections using clear Pass/Fail patterns.

Use Cases

Troubleshooting recurring AI hallucinations by codifying specific database schemas and architectural rules.
Refactoring bloated or disorganized CLAUDE.md files that waste token space and cause AI confusion.
Bootstrapping new repositories with a professional-grade memory file to set clear development guardrails.