# NeuroPrompt Studio

A curated collection of prompt-engineering patterns, multi-step workflow blueprints and evaluation methods for working with large language models such as Claude.

NeuroPrompt Studio is a repository of prompt-engineering patterns, workflow blueprints and evaluation methods for large language models, organized into four layers: a pattern library of atomic prompt structures such as zero-shot, few-shot, chain-of-thought and tree-of-thought; workflow blueprints for multi-step tasks such as document analysis and code generation and review loops; an evaluation suite covering consistency, hallucination detection and latency; and deployment stencils covering rate limiting and context-window management for API orchestration.

It presents itself as intended for developers, researchers, product managers and creative technologists working with model APIs, with patterns described as tested across multiple model families and use cases with adaptation notes.

The repository is a collection of documentation and templates rather than a runnable library.

Website: https://github.com/thenicolas1894/awesome-claude-fable-5-prompt-vault
