| publish | ||
|---|---|---|
| title | AI Readme | |
| type | README | |
| status | ||
| date | 2026-01-07 | |
| tags |
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This repository organizes AI-related resources, including prompts, project specifications, skills documentation, and custom commands for working with AI assistants like Claude.
Contains standardized prompt configuration files that guide Claude's behavior across different project types. These files can be placed in project directories or user home directories to provide consistent AI assistance.
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CLAUDE.md - Primary directive set for all Claude interactions
- Enforces plan-before-build methodology
- Emphasizes test-driven development
- Promotes best practices (DRY, KISS, YAGNI, SOLID)
- Requires explicit documentation and changelog updates
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RUBY.md - Ruby-specific coding standards and conventions
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RAILS.md - Rails framework patterns and best practices
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WEBUI.md - Web UI development guidelines
These files work hierarchically: project-specific configurations take precedence over global settings, allowing for customization while maintaining baseline standards.
Contains AI-assisted project specifications and prompts for specific tasks.
Each project file includes detailed requirements, constraints, and expected outcomes to ensure consistent AI assistance across complex tasks.
Documentation for specialized AI interaction patterns and workflows.
Skills provide reusable prompt patterns that can be adapted to different codebases and situations.
Reserved for custom AI commands and shortcuts. Currently empty and available for future automation scripts or frequently-used prompt combinations.
Place CLAUDE.md in your home directory (~/.claude/CLAUDE.md) to apply directives globally across all projects.
Copy relevant prompt files (e.g., RUBY.md, RAILS.md) to your project's root directory to enable language or framework-specific guidance.
Reference skills documentation when you need to perform specialized analysis or follow established workflows. Copy and adapt the prompts for your specific use case.
This repository embodies a structured approach to AI-assisted development:
- Plan before build - Non-trivial changes require explicit planning
- Test-driven development - Bug fixes start with failing tests
- Best practices by default - Favor simplicity and proven patterns
- Explicit documentation - Changes to functionality require documentation updates
- Thoughtful architecture - Push back on questionable design choices
These principles ensure AI assistance enhances rather than complicates development workflows.