llm-patterns

What problem does it solve?

This skill helps AI teams design and reuse reliable, pattern-based approaches for building AI-first applications, reducing brittle prompts and ad-hoc plumbing by separating concerns between prompt logic and execution.

Core Features & Use Cases

• LLM-driven logic patterns: verbal reasoning, classification, and decision-making guided by structured prompts and templates.
• Typed LLM client and testing: clear interfaces, validation of LLM outputs, and deterministic unit/integration tests.
• Prompt management and anti-patterns: versioned prompts, safe guardrails, and auditing of prompt changes across projects.
• Use Case: Build an AI assistant that classifies user inquiries, routes them to the right service, and logs reasoning for debugging and compliance.

Quick Start

Load a base prompt kit and apply a language-specific pattern to your first use case without writing boilerplate code.