Claude Code Toolkit

Claude Code Toolkit from applied-artificial-intelligence/claude-code-toolkit.

Skills in this plugin

5
  1. LLM Evaluation · applied-artificial-intelligence
    LLM 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.
    1 install
  2. RAG Implementation · applied-artificial-intelligence
    Comprehensive 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.
    0 installs
  3. Huggingface Transformers · applied-artificial-intelligence
    Hugging 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.
    1 install
  4. API Authentication · applied-artificial-intelligence
    API 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.
    0 installs
  5. Docker Optimization · applied-artificial-intelligence
    Docker 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%.
    0 installs