Prompt Library

A curated collection of development rules and prompt templates for AI-assisted software development. Use these structured prompts to maintain consistency and quality when working with AI coding assistants.

Quick Start

Add this library to your project as a git submodule:

# Add the submodule to your project
git submodule add https://github.com/yourusername/prompt-library.git prompts

# Initialize and update the submodule
git submodule update --init --recursive

# In the future, update to latest rules
git submodule update --remote prompts

What's Included

Rules (rules/)

Development standards and architectural patterns that AI assistants should follow:

• kotlin.md - Functional Kotlin with Arrow FP patterns
• domain-driven-design.md - DDD tactical and strategic patterns
• hexagonal-architecture.md - Ports & adapters implementation
• kotest.md - Testing conventions with Kotest/Testcontainers

Rules provide structured guidance with:

• Core principles and context
• Tiered requirements (Must/Should/Could Have)
• Code examples and anti-patterns
• Decision frameworks for edge cases

Templates (templates/)

Meta-prompting templates for common AI development tasks:

• 00-rules-template.md - Create new development rules
• 00-oneshot_template.md - Specify features for single-shot implementation
• 00-todo_template.md - Generate structured TODO lists from code comments

Templates help you craft effective prompts by providing proven structures and ensuring you include all necessary context for AI assistants.

Usage

Reference rules in your prompts:

Consider the following rules when implementing this feature:
- prompts/rules/kotlin.md
- prompts/rules/hexagonal-architecture.md

Use templates to structure complex requests:

Using the template from prompts/templates/00-oneshot_template.md, 
implement a user authentication system with the following requirements...

Benefits

• Consistency - Standardized patterns across projects and team members
• Quality - Battle-tested rules based on industry best practices
• Efficiency - Reusable templates reduce prompt engineering overhead
• Maintainability - Centralized rules that evolve with your practices