What is the benefit of symlinking rules instead of copying them?

Symlinking allows your project rules to automatically update whenever the source templates in rbw-claude-code are updated, ensuring your local environment always uses the latest best practices without manual intervention.

How do I verify the rules are installed correctly?

You can run 'ls -la .claude/rules/' in your project root. You should see symlinks pointing to the rbw-claude-code template files or local copies if you chose that method.

Which Python standards are included in the setup?

The skill includes specialized rules for modern type hints, asyncio structured concurrency, SOLID architecture principles, and pytest patterns.

Can I customize these rules for my specific project?

Yes. While symlinking is recommended for consistency, you can copy the template files directly into your project's .claude/rules directory to modify them for your specific needs.

Rule Setup Utility

Name: Rule Setup Utility
Author: RBozydar

byRBozydar

Productivity & Workflow

Configures standardized coding rules and anti-slop guidelines in your project using symlinks or template copies.

About

The setup-rules skill streamlines the process of establishing consistent AI behavior and coding standards across projects by linking to a curated set of templates from the rbw-claude-code repository. It primarily supports high-quality Python development—covering asyncio patterns, modern typing, and SOLID architecture—alongside 'anti-slop' rules designed to prevent low-quality AI-generated code. By using symlinks, users can ensure their project rules stay updated as the central repository evolves, or they can copy files for granular, per-project customization.

Key Features

Interactive setup script for guided rule selection and installation
Symlinking templates for automatic rule updates across multiple projects
0 GitHub stars
Anti-slop rules to improve AI code generation quality and consistency
Standardized Python rules for asyncio, typing, and SOLID architecture
Automated creation of .claude/rules project structure

Use Cases

Quickly bootstrapping projects with pre-defined architectural and testing guidelines
Enforcing consistent Python coding standards across a team's microservices
Preventing AI code 'slop' and maintaining high-quality LLM outputs in new projects

About

Key Features

Interactive setup script for guided rule selection and installation
Symlinking templates for automatic rule updates across multiple projects
0 GitHub stars
Anti-slop rules to improve AI code generation quality and consistency
Standardized Python rules for asyncio, typing, and SOLID architecture
Automated creation of .claude/rules project structure

Use Cases

Quickly bootstrapping projects with pre-defined architectural and testing guidelines
Enforcing consistent Python coding standards across a team's microservices
Preventing AI code 'slop' and maintaining high-quality LLM outputs in new projects