api-authentication
applied-artificial-intelligenceAPI authentication patterns including JWT, OAuth 2.0, API keys, and session-based auth. Covers token generation, validation, refresh strategies, security best practices, and when to use each pattern. Use when implementing API authentication, choosing auth strategy, securing endpoints, or debugging auth issues. Prevents common vulnerabilities like token theft, replay attacks, and insecure storage.
project-setup
applied-artificial-intelligenceInitialize Claude Code framework infrastructure for any project
pyramid-principle
applied-artificial-intelligenceHierarchical content structure - answer first, then supporting arguments, then details
docker-optimization
applied-artificial-intelligenceDocker image optimization patterns including multi-stage builds, layer caching, security hardening, and size reduction techniques. Use when building Docker images, optimizing container size, improving build performance, or implementing Docker security best practices. Reduces image sizes by 70-90% and build times by 50-80%.
llm-evaluation
applied-artificial-intelligenceLLM evaluation and testing patterns including prompt testing, hallucination detection, benchmark creation, and quality metrics. Use when testing LLM applications, validating prompt quality, implementing systematic evaluation, or measuring LLM performance.
scqa-framework
applied-artificial-intelligenceNarrative structure for complex topics - Situation, Complication, Question, Answer
plain-language
applied-artificial-intelligenceSimplification and readability techniques. Use when writing for broad audiences or simplifying complex content. Covers active voice, short sentences, jargon elimination, and accessibility principles from the Plain Language Movement.
shared-setup-patterns
applied-artificial-intelligenceShared configuration patterns for project setup commands. Provides security hooks, Claude framework structure templates, and framework detection patterns used across multiple setup commands.
rag-implementation
applied-artificial-intelligenceComprehensive guide to implementing RAG systems including vector database selection, chunking strategies, embedding models, and retrieval optimization. Use when building RAG systems, implementing semantic search, optimizing retrieval quality, or debugging RAG performance issues.
huggingface-transformers
applied-artificial-intelligenceHugging Face Transformers best practices including model loading, tokenization, fine-tuning workflows, and inference optimization. Use when working with transformer models, fine-tuning LLMs, implementing NLP tasks, or optimizing transformer inference.