Projects sharing features with Prompts

vibe-coding-cn is an AI software development workflow and prompt engineering framework designed to transform product ideas into functional applications using natural language. It functions as an AI agent orchestration system that coordinates specialized skills and quality gates to guide the incremental creation of software. The framework distinguishes itself through a project memory system that maintains architectural and design documentation to preserve context during long-term collaborations. It employs a prompt optimization library that utilizes recursive loops, chain-of-thought reasoning,

Agents.md is a configuration framework designed to standardize how AI coding assistants interact with a repository. It provides a structured format for defining project context, behavioral guidelines, and operational instructions, ensuring that AI tools maintain consistency and adhere to project-specific standards throughout the development process. The system distinguishes itself through a hierarchical configuration approach, allowing developers to define settings that inherit and override instructions across different subdirectories. By utilizing markdown-based files, it enables the injecti

Gemini Voyager is a browser-based toolkit designed to enhance the interface and workflow of large language model web applications. It serves as a conversation manager, an output renderer, and a prompt library manager, allowing users to customize the layout and functionality of AI chat interfaces. The project distinguishes itself through advanced content handling, such as removing image watermarks by reversing alpha blending to restore original pixels. It also provides specialized rendering for LaTeX mathematical formulas and Mermaid diagrams, alongside tools to fix broken Markdown formatting

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

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

This project is a browser extension that integrates real-time web search results and page content into large language model prompts to provide updated context. It functions as a prompt template manager and web content extractor, allowing users to fetch live data from search engines to overcome knowledge cutoff dates. The extension enables deep research by performing comprehensive searches and providing original source citations. It augments search engines by displaying AI-generated answers alongside traditional search results through a custom interface overlay. The system includes capabiliti

This project provides a centralized repository and configuration framework for managing system instructions, behavioral constraints, and coding standards within AI-assisted development environments. It serves as a library of curated prompts and rules designed to standardize the output of autonomous coding agents, ensuring that generated code consistently adheres to project-specific architectural patterns and technical requirements. The tool distinguishes itself by employing an agent-agnostic schema that allows behavioral guidelines to be interpreted across various development platforms. It su

ChatGPT-Shortcut is a prompt engineering toolkit and management library designed to organize, refine, and deploy structured instructions for large language models. It functions as a browser-based prompt injector and a self-hosted prompt database, allowing users to maintain a curated collection of specialized templates. The project features a community prompt gallery where users can publish, discover, and vote on effective templates. It distinguishes itself by integrating these libraries directly into chat interfaces via userscripts or browser extensions, enabling access to prompts through sid

BAML is a prompt engineering framework and LLM client generator that defines AI prompts as type-safe functions. It serves as a structured data extraction tool and workflow orchestrator, transforming unstructured model responses into strongly typed objects using a custom schema language and alignment algorithms. The project distinguishes itself by using a compiler to generate language-specific boilerplate code for API communication and output parsing. It features a dedicated environment for designing complex prompt templates with conditional logic and reusable snippets, and employs genetic alg

Context-Engineering is a prompt engineering framework and cognitive architecture for large language models. It provides a set of patterns and methodologies for designing structured prompts and modular reasoning flows that decompose complex tasks into specialized, step-by-step problem solving templates. The project distinguishes itself through stateful prompt management and context window optimization. It maintains persistent memory across multiple interaction turns by compressing conversation history into compact internal state cells and employs techniques to maximize information density per

This project is a curated library of configuration files designed to optimize the behavior of AI-assisted code editing environments. By providing structured instructions that define project constraints, coding standards, and technical preferences, it enables developers to standardize how artificial intelligence models interact with their codebases. These configuration files are integrated into the editor to ensure consistent output and improved accuracy during code generation. The repository distinguishes itself through a community-driven approach to curation, aggregating user-submitted rules

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 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

This project is a command-line utility designed to automate the creation of standardized instruction sets for AI-powered coding assistants. It functions as a generator that compiles technical documentation and project-specific best practices into structured, machine-readable configuration files to improve the consistency and accuracy of AI-generated code. The tool distinguishes itself by integrating semantic web retrieval and language model synthesis to transform unstructured information into optimized rule sets. It manages the generation process through configuration-driven parameters, allow

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

Poml is a prompt management framework and templating engine designed for authoring, versioning, and rendering structured prompts for large language models. It uses a semantic markup language to organize prompts into reusable templates, combining them with dynamic context and data to generate formatted inputs. The system distinguishes itself by decoupling core prompt logic from final presentation through a stylesheet-based approach. It provides a dedicated JSON schema output generator to enforce strict, machine-parsable model responses and a configuration interface for managing function tool s

This project is a comprehensive library of structured system prompts and configuration templates designed to define the behavior, persona, and operational boundaries of autonomous artificial intelligence agents. It serves as a framework for prompt engineering, providing modular instructions that help models parse complex tasks, maintain consistent interaction tones, and adhere to specific domain constraints. The repository distinguishes itself by offering specialized configurations for agent safety and security, including protocols to prevent prompt injection and unauthorized data access. It

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

PhiCookBook is a technical guide and implementation framework for integrating small language models into applications. It provides instructions for deploying these lightweight models to perform reasoning, coding, and math tasks across various hardware environments and serving platforms. The project functions as a tutorial for developing intelligent AI applications by chaining prompts and code into executable sequences. It includes a framework for evaluating model behavior and calculating quality metrics to verify the accuracy and reliability of these workflows. The repository covers a broad

This project is an AI development knowledge base and engineering resource hub. it serves as a technical documentation archive and a lab for experimenting with large language model agents. The repository functions as a curated directory of evaluated AI tools and resources. It documents practical coding workflows and records experimental observations to establish best practices for building and deploying AI-powered applications. The project covers broad capability areas including AI tool curation, technical knowledge archiving of core computing concepts, and the maintenance of developer guidel

gstack is an AI agent framework and development workflow system designed to automate the software development lifecycle. It coordinates specialized AI personas to manage tasks across product design, engineering management, and quality assurance, transforming product intent into technical specifications and final releases. The project is distinguished by its deep integration of headless browser automation and semantic code memory. It utilizes a persistent Chromium daemon for web scraping and visual auditing, and implements a searchable knowledge base that logs architectural decisions and repos

my-git is a comprehensive framework and reference guide for Git version control administration, repository governance, and software release management. It provides a structured approach to managing the software development lifecycle, from initial feature branching to final production deployment. The project distinguishes itself through a specialized AI-assisted development framework. This includes workflows for managing AI-generated code via automated diff reviews, intent-based commit splitting, and governance models for multi-agent coordination and session isolation using worktrees. The cod

Claude-Code-Workflow is a development workflow engine and command-line orchestration framework that coordinates specialized artificial intelligence agents to automate multi-step software development tasks. The system executes structured processes through natural language command routing, analyzing user intent to select workflows and invoke command-line tools automatically. The platform includes embedded hybrid code search combining full-text and semantic embedding methods over local repositories, along with persistent session management that tracks development steps across multiple execution

vibe-vibe is an LLM agent engineering framework and toolchain optimizer designed for orchestrating multi-agent systems. It serves as a comprehensive guide and methodology for transforming conceptual ideas into deployed applications through agentic software engineering. The project focuses on the orchestration of specialized AI agent roles with defined collaboration boundaries and iterative feedback loops. It provides frameworks for toolchain optimization, including the selection and evaluation of protocols that extend model capabilities and the design of standardized tool interfaces. The sys

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 project is a collection of patterns and configurations for deploying AI agents with specialized technical skills and personas. It provides a framework for agentic software engineering, defining standards for AI-driven development workflows and the management of modular technical capabilities. The system features a skill framework that activates technical guidelines based on prompt intent and a context management system that preserves project state using persistent plans and checklists across session resets. It employs a modular organization of guidelines to prevent context window overflo