Search Results for "prompt"
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Showing 826 open source projects for "prompt"
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Spaceship Prompt
Minimalistic, powerful and extremely customizable Zsh prompt
Spaceship is a fast, minimal, and extensible Zsh prompt that shows context-aware information without clutter. It exposes “sections” for common developer signals—current directory, Git status, package versions, language runtimes, Docker/Kubernetes context, exit status, and time—then renders only what’s relevant. Configuration is done almost entirely through environment variables, letting you reorder, hide, or customize sections without writing functions. -
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prompt-kit
Core building blocks for AI apps
...The library is designed to work alongside shadcn/ui, allowing developers to extend existing design systems with AI-specific interaction patterns such as prompt inputs, streaming responses, and conversational layouts. Prompt Kit emphasizes accessibility, performance, and design consistency, making it suitable for production-grade applications that require both functionality and visual quality. It abstracts common UI challenges associated with AI interfaces, such as managing input states, displaying dynamic outputs, and handling conversational flows. -
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Prompt Optimizer
A prompt word optimizer to help write high-quality prompt words
...With support for different deployment modes including web apps, desktop apps, Chrome plugins, and Docker containers, Prompt-Optimizer offers flexibility that suits both individual developers and teams working in diverse environments. It also includes advanced capabilities like multi-model integration, context testing, and real-time comparison of prompt outputs, helping users to see exactly how prompt changes influence results. -
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Prompt Poet
Streamlines and simplifies prompt design for both developers
...By separating prompt structure from program logic, Prompt Poet encourages iterative prompt design and experimentation without requiring constant changes to application code. The framework supports dynamic prompts that adapt to runtime data, allowing developers to inject variables, context, and examples directly into templates. This approach is particularly useful in production environments where prompt consistency, maintainability, and versioning are important. -
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files-to-prompt
Concatenate a directory full of files into a single prompt
files-to-prompt is a Python command-line tool that takes one or more files or entire directories and concatenates their contents into a single, LLM-friendly prompt. It walks the directory tree, outputting each file preceded by its relative path and a separator, so a model can understand which content came from where. The tool is aimed at workflows where you want to ask an LLM questions about a whole codebase, documentation set, or notes folder without manually copying files together. ... -
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Prompt flow
Build high-quality LLM apps
Prompt flow is a suite of development tools designed to streamline the end-to-end development cycle of LLM-based AI applications, from ideation, prototyping, testing, and evaluation to production deployment and monitoring. It makes prompt engineering much easier and enables you to build LLM apps with production quality. -
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Liquid Prompt
A full-featured & carefully designed adaptive prompt for Bash & Zsh
Liquid Prompt gives you a nicely displayed prompt with useful information when you need it. It shows you what you need when you need it. You will notice what changes when it changes, saving time and frustration. You can even use it with your favorite shell, Bash or zsh. Liquidprompt is an adaptive prompt for Bash & Zsh that gives you a nicely displayed prompt with useful information when you need it. -
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Prompt in-context learning
Resources for in-context learning and prompt engineering
Prompt-In-Context-Learning is an open-source repository that serves as a comprehensive engineering guide and curated resource collection for understanding and applying in-context learning and prompt engineering with large language models. The project gathers research papers, tutorials, prompt examples, and practical guides that help developers and researchers learn how to design effective prompts for models such as GPT-3, ChatGPT, and other foundation models. ... -
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Prompt Engineering Techniques
Collection of tutorials for Prompt Engineering techniques
Prompt Engineering Techniques is a focused companion repository that teaches prompt engineering systematically, from fundamentals to advanced strategies. It contains around twenty-plus hands-on Jupyter notebooks, each dedicated to a specific technique such as basic prompt structures, prompt templates and variables, zero-shot prompting, few-shot prompting, chain-of-thought, self-consistency, constrained generation, role prompting, task decomposition, and more. ... -
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Prompt Declaration Language
Prompt Declaration Language is a declarative prompt programming lang
...LLMs have a textual interface and the structure of useful prompts is not captured formally. Programming frameworks do not enforce or validate such structures since they are not specified in a machine-consumable way. The purpose of the Prompt Declaration Language (PDL) is to allow developers to specify the structure of prompts and to enforce it, while providing a unified programming framework for composing LLMs with rule-based systems. -
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Prompt Engineering Interactive Tutorial
Anthropic's Interactive Prompt Engineering Tutorial
Prompt-eng-interactive-tutorial is a comprehensive, hands-on tutorial that teaches the craft of prompt engineering with Claude through guided, executable lessons. It starts with the anatomy of a good prompt and moves into techniques that deliver the “80/20” gains—separating instructions from data, specifying schemas, and setting evaluation criteria. -
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AUTOMATIC1111 Stable Diffusion web UI
Stable Diffusion web UI
...With a flexible installation process across Windows, Linux, and Apple Silicon, plus support for GPUs and CPUs, it caters to a wide range of users—from hobbyists to professionals. The interface also supports prompt editing, batch processing, custom scripts, and many community extensions, making it a highly customizable and continually evolving platform for creative AI art generation. -
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OpenPromptStudio
Visual editor for AI prompts with translation, categories, and tools
...A built-in prompt dictionary helps users quickly access commonly used prompt fragments and reuse them in different projects. Users can optionally manage and maintain this dictionary using a connected workspace database, enabling more flexible prompt organization. -
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typewritten
A minimal, lightweight, informative zsh prompt theme
A minimal, lightweight, informative zsh prompt theme. Clone the typewritten repository somewhere you can easily link. I recommend creating a .zsh directory at root. typewritten is customizable in many ways. Prompt customization, everything to do with how and where the info is displayed. Prompt color customization set a custom color for any of the prompt sections. -
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ohmyposh.dev
A prompt theme engine for any shell
Oh My Posh enables you to use the full-color set of your terminal by using colors to define and render the prompt. Easily adjust existing themes or create your own. From standard segments all the way to custom implementations. No matter which shell you're using, or even how many, you can carry the configuration from one shell and/or machine to another for the same prompt everywhere you work. What started as the offspring of oh-my-posh2 for PowerShell resulted in a cross platform, highly customizable and extensible prompt theme engine. ... -
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L1B3RT45
Harmless liberation prompts
L1B3RT4S is a large prompt collection project focused on adversarial and “liberation-style” prompt engineering experiments for large language models. The repository gathers creative prompt patterns intended to explore model behavior boundaries, roleplay scenarios, and red-teaming techniques. It is positioned more as a prompt experimentation archive than a traditional software library, emphasizing the study of how instruction phrasing can influence AI outputs. ... -
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starship
The minimal, blazing-fast, and infinitely customizable prompt
The minimal, blazing-fast, and infinitely customizable prompt for any shell! Works on the most common shells on the most common operating systems. Use it everywhere! Brings the best-in-class speed and safety of Rust, to make your prompt as quick and reliable as possible. Every little detail is customizable to your liking, to make this prompt as minimal or feature-rich as you'd like it to be. -
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PromptBin
A free guide for learning to create ChatGPT3 Prompts
...The repository is also intended as a foundation for building custom prompt management systems, allowing developers or teams to fork and adapt it into internal tools or client-facing solutions. It includes a simple front-end interface that enables searching, filtering, and copying prompts quickly, emphasizing usability and accessibility. Beyond just a static list, the project embodies best practices in prompt engineering by demonstrating how structured inputs can significantly improve AI outputs. -
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System Prompts Leaks
Collection of extracted System Prompts from popular chatbots
...The project highlights how system prompts — instructions that strongly influence model behavior — have been inadvertently shared in forums, datasets, and open repositories, illustrating common patterns and potential vulnerabilities in prompt design and deployment. By aggregating these prompts, the repository serves as a valuable resource for understanding how widely different models are being guided in the wild, which helps with comparative analysis across architectures and service providers. It also helps raise awareness around prompt security, showing how exposed system instructions can lead to unintended behaviors or exploitation if not properly protected. -
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POML
Prompt Orchestration Markup Language
POML, or Prompt Orchestration Markup Language, is a structured markup language created to improve the organization and maintainability of prompts used in large language model applications. Traditional prompt engineering often relies on unstructured text, which can become difficult to manage as prompts grow more complex and incorporate dynamic data sources. -
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Promptr
Promptr is a CLI tool that lets you use plain English to instruct GPT3
Promptr is a CLI tool that lets you use plain English to instruct OpenAI LLM models to make changes to your codebase. Changes are applied directly to the files that you reference from your prompt. -
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prompts.chat
Share, discover, and collect prompts
prompts.chat, also known as Awesome ChatGPT Prompts, is an open-source community project that curates high-quality prompt examples for modern AI chat models. The repository functions as a centralized library where users can browse, share, and collect prompt templates designed to improve the usefulness and creativity of AI interactions. Originally built around ChatGPT use cases, the prompts are broadly compatible with many contemporary large language models, making the resource flexible across platforms. ... -
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SuperPrompt
Experimental prompt framework exploring reasoning structures in AI
SuperPrompt is an experimental open source project focused on designing complex prompts intended to help researchers and developers better understand how AI agents reason and respond. It explores structured prompt engineering techniques that combine symbolic expressions, logical constructs, and conceptual frameworks to guide large language models toward deeper reasoning processes. Its main concept revolves around a highly structured prompt format that includes tagged sections for reasoning, analysis, conceptual expansion, and recursive thinking patterns. ... -
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BAML
The AI framework that adds the engineering to prompt engineering
...The framework enables developers to define prompt logic in a dedicated language while integrating it into applications written in various programming languages such as Python, TypeScript, Ruby, and Go. BAML also allows developers to specify which models are used for each prompt and how outputs should be validated or structured. By converting prompt engineering into a more formal programming workflow, the framework improves reliability, debugging, and maintainability of AI systems. -
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Prompt-to-Prompt
Latent Diffusion and Stable Diffusion Implementation
Prompt-to-Prompt is a research codebase that demonstrates how to edit images generated by diffusion models using only changes to the text prompt. Instead of retraining or heavy fine-tuning, it manipulates the model’s cross-attention maps so the structure of the original image is largely preserved while semantics shift according to the revised prompt.
