How does the smart merging logic work?

It performs a similarity check between your existing file content and the templates. If a match is found, it replaces the old content; otherwise, it prepends the new template sections before existing headings.

Can I control the order in which templates are added?

Yes, templates are processed based on their numerical prefixes (e.g., 01.name.md, 02.name.md), allowing for a strictly ordered and logical documentation structure.

What specific files does this skill manage?

The skill primarily initializes and updates CLAUDE.md, and provides options to synchronize that content to AGENTS.md and GEMINI.md files.

Will this skill overwrite my custom project rules?

No, the skill is designed for incremental updates. It preserves project-specific content and only modifies sections that match the standardized templates or adds new ones at the beginning of the file.

AI Memory Context Initializer

Name: AI Memory Context Initializer
Author: ruan-cat

byruan-cat

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Productivity & Workflow

Automates the creation and synchronization of project-specific AI memory files like CLAUDE.md using standardized prompt templates.

About

This skill streamlines the setup of AI-assisted development environments by initializing and incrementally updating essential memory files, including CLAUDE.md, AGENTS.md, and GEMINI.md. By leveraging a template-driven approach with smart merging logic, it ensures that project rules, testing standards, and implementation guidelines are consistently applied across different AI agents. It intelligently detects existing content to prevent duplication and maintains project-specific context while enforcing organizational best practices through a Chinese-first localization approach.

Key Features

Automated initialization of CLAUDE.md via native Claude Code integration
3 GitHub stars
Multi-agent synchronization support for AGENTS.md and GEMINI.md files
Smart merging logic that intelligently replaces or prepends sections based on similarity
Template-based content insertion with strict numerical ordering for logical flow
Full support for Simplified Chinese documentation and standardized prompt structures

Use Cases

Bootstrapping new software projects with standardized AI instructions and coding standards
Synchronizing documentation and project rules across multiple AI platforms and agents
Updating existing project memory files with new organizational guidelines or technical stack contexts

About

Key Features

Automated initialization of CLAUDE.md via native Claude Code integration
3 GitHub stars
Multi-agent synchronization support for AGENTS.md and GEMINI.md files
Smart merging logic that intelligently replaces or prepends sections based on similarity
Template-based content insertion with strict numerical ordering for logical flow
Full support for Simplified Chinese documentation and standardized prompt structures

Use Cases

Bootstrapping new software projects with standardized AI instructions and coding standards
Synchronizing documentation and project rules across multiple AI platforms and agents
Updating existing project memory files with new organizational guidelines or technical stack contexts