{"repo":"synaptiai/prompt-decorators","free":true,"listed":false,"github":"https://github.com/synaptiai/prompt-decorators","clone":"git clone https://github.com/synaptiai/prompt-decorators.git","description":"A standardized framework for enhancing how LLMs process and respond to prompts through composable decorators, featuring an official open standard specification and Python reference implementation. Claude Code plugin and MCP server integration.","language":"Python","stars":42,"topics":["ai","ai-standards","ai-tools","decorators","mcp","mcp-server","prompt-engineering","prompt-templates","specification"],"license":"Apache-2.0","category":"mcp-servers","readme_excerpt":"Prompt Decorators Prompt Decorators is a comprehensive framework that standardizes how prompts for Large Language Models (LLMs) are enhanced, structured, and transformed. This repository contains both the official Prompt Decorators Specification and its complete Python reference implementation. Documentation • Prompt Decorators Specification 📋 Table of Contents - Overview - What Are Prompt Decorators? - Key Components - Background & Motivation - Challenges in Prompt Engineering - Benefits of Prompt Decorators - Key Features - Implementation Status - Getting Started - Installation - Basic Usage - License - Contributing - Acknowledgments 🔍 Overview What Are Prompt Decorators? Prompt Decorators introduces a standardized annotation system inspired by software design patterns that allows users to modify LLM behavior through simple, composable \"decorators.\" By prefixing prompts with annotations like +++Reasoning , +++StepByStep , or +++OutputFormat , users can consistently control how AI models process and respond to their requests across different platforms and implementations. This project addresses the growing complexity of AI interactions by providing: 1. The Specification : A formal standard that defines decorator syntax, behavior, and extension mechanisms 2. The Python Implementation : A production-ready reference implementation with comprehensive tooling 3. MCP Integration : A Model Context Protocol server that enables prompt decorator functionality in tools like Claude De","default_branch":null,"files":null,"tree":[],"storefront":"/r/synaptiai","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/synaptiai/prompt-decorators/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}