Awesome GitHub RepositoriesPrompt Libraries

This project is a curated library of community-driven prompt templates and personas designed to improve interactions with large language models. It functions as a prompt engineering guide, providing interactive tutorials and examples to teach advanced design and reasoning techniques. The library can operate as a Model Context Protocol server, providing a standardized interface for AI tools and agents to access prompt data as a service. For organizations, it offers a self-hosted repository option that allows for private deployment on internal infrastructure with custom authentication and data

This platform serves as a centralized management system for organizing, refining, and versioning AI instructions and agent skills. It functions as a repository that enables users to store, categorize, and retrieve structured prompts, ensuring consistent performance across various artificial intelligence models. By integrating with the Model Context Protocol, the system allows external AI assistants and development environments to discover and access these instruction libraries directly. The platform distinguishes itself through its focus on prompt engineering and automated refinement, utilizi

This project is an AI-powered document processing engine designed to transform diverse file formats into structured Markdown. By leveraging multimodal language models, it performs complex layout analysis and semantic text extraction, allowing for the conversion of both unstructured files and scanned images into machine-readable content. The toolkit distinguishes itself through a modular, plugin-based architecture that orchestrates multi-stage extraction pipelines. Users can steer the parsing behavior by injecting custom instructions, enabling the system to adapt to domain-specific document st

This project is an AI agent workflow framework and development toolkit designed for AI-driven software engineering. It provides a system of modular instructions, prompt libraries, and standardized routines to orchestrate complex engineering sequences and automate the decomposition of plans into technical tasks. The system differentiates itself through advanced context management and prompt engineering, using state compression and handoff documents to preserve conversation history between different AI sessions. It employs a structured library of prompt skills and high-signal trigger words to e

NextChat is a self-hosted web application that provides a unified interface for interacting with multiple large language models. It functions as a conversational platform where users can manage and switch between diverse AI providers through configurable API backends, maintaining full control over their data and infrastructure. The platform features a persistent session layer designed to handle long-running dialogues by managing message history and context. It distinguishes itself through a structured prompt engineering environment that allows for the development and application of templates

This project is a community-driven library of structured text inputs designed to guide large language models into specific roles, behaviors, and operational modes. It functions as a comprehensive repository of prompt engineering resources, providing reusable templates that allow users to override default model tendencies and enforce domain-specific response patterns through instruction-following logic. The collection distinguishes itself by offering specialized persona-based directives that constrain model output to simulate professional experts or functional technical environments. By utiliz

Powerlevel10k is a high-performance shell prompt framework designed to provide a responsive and visually informative command-line interface. It functions as a terminal customization engine that allows users to define the appearance, color schemes, and information density of their prompt through a declarative configuration file. By decoupling prompt rendering from shell initialization, it eliminates startup latency and ensures that the command line remains responsive even under heavy system loads. The project distinguishes itself through advanced performance optimizations, including asynchrono

This project is a centralized repository for the collection and analysis of system instructions and behavioral configurations extracted from large language models and AI-powered software. It serves as a research archive that documents the internal directives, operational constraints, and safety protocols that define how various artificial intelligence agents interact with users. The repository distinguishes itself through a crowdsourced approach to data aggregation, maintaining a historical record of configuration changes across a wide range of proprietary models and coding assistants. By org

Fabric is a command-line orchestrator designed to automate complex data processing and content generation tasks by chaining artificial intelligence models with modular prompt templates. It functions as a terminal-based tool that utilizes standard input and output streams, allowing users to pipe data directly into predefined reasoning strategies. By providing a model-agnostic abstraction layer, the system decouples execution logic from specific artificial intelligence vendors, normalizing requests and responses across different service providers. The platform distinguishes itself through its p

This project is a Chinese text segmentation library and tokenizer designed to split Chinese sentences into individual words. It serves as a natural language processing tool for splitting characters into words, tagging parts of speech, and extracting keywords using statistical analysis. The library distinguishes itself through support for custom dictionary configuration and vocabulary file management, allowing users to override default segmentation rules for domain-specific accuracy. It also includes a TF-IDF keyword extractor to identify significant words and core topics within documents. Th

This project is a comprehensive interview question bank and employer evaluation guide designed for job candidates to audit potential employers. It provides a structured framework of inquiries to assess a company's business stability, technical culture, and benefits packages. The resource is distinguished by its multilingual support, providing translated question sets to assist candidates across various global languages. It employs a taxonomy-driven organization to help users filter and retrieve specific probes for employer evaluation. The framework covers several key evaluation domains, incl

This project serves as a comprehensive, static directory of external resources dedicated to the study and application of large language models. It functions as a centralized discovery point for developers and researchers, aggregating foundational academic papers, technical documentation, and specialized tools within a structured, version-controlled knowledge base. The repository distinguishes itself through a multi-level classification system that organizes diverse technical domains, ranging from model training frameworks and inference optimization to AI safety and hallucination detection. By

Claude Code Templates is a comprehensive framework for orchestrating specialized AI agents and automating development workflows within local environments. It provides a structured system for defining, configuring, and deploying AI personas that handle specific technical tasks, ranging from backend architecture and frontend implementation to security auditing and infrastructure management. The project distinguishes itself through a configuration-driven approach that allows teams to standardize development environments and share reusable agent definitions across projects. It includes a robust C

This repository serves as a comprehensive directory and resource hub for accessing, deploying, and optimizing artificial intelligence tools. It functions as a community-driven index that aggregates web portals, mirror sites, and alternative hosting platforms to provide users with free or alternative access to large language models and conversational assistants. The project distinguishes itself by offering a dual focus on both service discovery and self-hosting capabilities. It provides a curated collection of open-source templates and frameworks that enable users to deploy private, custom-tai

This project is a framework for integrating modular instruction packages and domain-specific tools into large language model agents. It provides a system for managing agent context and extending coding assistants through a modular prompt library of persona-based instruction sets and skill trees. The framework distinguishes itself through a persistent memory layer that tracks architectural decisions and infrastructure patterns to prevent regressions during autonomous code modifications. It includes an orchestrator for managing multi-agent swarms and autonomous coding loops that cycle through g

This project is a collection of specialized toolsets for AI research automation, local storage analysis, and prompt library management. It provides frameworks for retrieving curated news and research papers via keyword queries and generating comprehensive long-form reports through cross-sectional subject analysis. The system includes capabilities for AI content generation that enforce specific narrative rules, rhythmic constraints, and banned vocabulary to replicate authorial personas. It also features a prompt library with standardized instruction schemas to ensure consistent agent behavior

Fabric is a command-line interface and framework designed to integrate artificial intelligence reasoning into shell-based workflows. It functions as an orchestration tool that connects local data pipelines to remote artificial intelligence services, allowing users to automate content analysis and complex reasoning tasks directly from the terminal. The project distinguishes itself through a modular architecture that treats prompt patterns as version-controlled, reusable logic stored on the local filesystem. By utilizing standard input and output streams, it enables users to chain these analyti

This project serves as a comprehensive, curated directory of resources, tools, and platforms dedicated to the generative artificial intelligence ecosystem. It functions as a central hub for developers and researchers to discover the frameworks, models, and services necessary for building, deploying, and managing intelligent software applications. The directory distinguishes itself by providing a structured index of specialized tooling across several technical domains. It covers the full lifecycle of generative AI, including the development of autonomous agent systems, the implementation of re

GitLens is a Git extension for VS Code that brings inline blame annotations, CodeLens authorship information, and an interactive commit graph directly into the editor. It provides a visual timeline of repository history with color-coded branch relationships, search, and filtering, alongside file-level annotations that show who last changed each line and why. The extension also functions as a cross-provider pull request manager, integrating with GitHub, GitLab, Bitbucket, and Azure DevOps to centralize PR and issue tracking within the IDE. What distinguishes GitLens is its AI-powered Git assis

BetterChatGPT is a cross-platform user interface and OpenAI API client designed for interacting with large language models. It functions as a prompt engineering workspace and a self-hosted AI frontend that allows users to connect to models via API keys or custom proxy endpoints. The project distinguishes itself through conversation management tools, including the ability to organize chats into color-coded folders and maintain a library of reusable prompt templates. It also includes a real-time cost monitoring system that tracks token consumption and calculates estimated pricing for interactio