Skills Registry Organization

About

This skill provides a standardized architectural pattern for managing a central repository of AI behaviors (skills) across multiple projects. By utilizing Git submodules and a structured directory hierarchy—categorized into general, scientific, and project-specific tiers—it ensures that general-purpose coding improvements are shared globally while sensitive or domain-specific logic remains isolated. This prevents memory pollution and streamlines the developer experience by providing a unified workflow for capturing and deploying AI insights via the /retrospective and /advise commands.

Key Features

• Built-in guardrails to prevent domain-specific logic from leaking into unrelated projects
• Standardized templates for creating consistent, high-quality skill documentation
• 0 GitHub stars
• Automated Git submodule workflow for seamless cross-project skill synchronization
• Optimized search path configurations for the Claude Code /advise command
• Hierarchical directory structure for general, scientific, and project-specific patterns

Use Cases

• Maintaining a shared library of Python coding standards and linting fixes across multiple repositories
• Isolating niche scientific computing patterns from general-purpose software development projects
• Scaling AI-assisted development across a team by providing a unified, version-controlled memory registry