Search Results for "q-prompt"
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Showing 1315 open source projects for "q-prompt"
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1
Prompt Master
A Claude skill that writes the accurate prompts for any AI tool
...It also supports experimentation, enabling users to refine prompts and compare results to achieve better outputs. The repository can be used as both a learning resource and a practical toolkit for developers working with AI systems. It reflects the growing importance of prompt engineering as a discipline in modern AI development. -
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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. -
3
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. -
4
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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5
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. ... -
6
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. -
7
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. -
9
CUDA-Q
C++ and Python support for the CUDA Quantum programming model
CUDA-Q is an open-source platform for developing hybrid quantum-classical applications using a unified programming model across CPUs, GPUs, and quantum processing units. It provides a full toolchain that includes compilers, runtimes, and libraries for writing quantum programs in both C++ and Python. The platform is designed to be hardware-agnostic, allowing developers to run applications on different quantum backends or simulate them efficiently using GPU acceleration when physical quantum hardware is unavailable. ... -
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10
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. ... -
11
q Go
Quick and dirty debugging output for tired Go programmers
...Easier to see inside structs, doesn't go to noisy-ass stdout. It goes to $TMPDIR/q. q Go offers pretty colors! -
12
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. ... -
13
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. -
14
Amazon Q Developer CLI
Chat experience in your terminal
Amazon Q Developer CLI brings an agentic, chat-driven coding assistant to your terminal so you can ask for help, generate code, and perform routine dev tasks with natural language. It blends knowledge of your local workspace with command-line context to suggest commands, explain flags, and scaffold files or workflows. The tool aims to shorten the gap between intent and action by letting you request operations like creating a test, refactoring a function, or drafting a Dockerfile without leaving the shell. ... -
15
Q-CTRL Open Controls
Q-CTRL Open Controls
Q-CTRL Open Controls is an open-source Python package that makes it easy to create and deploy established error-robust quantum control protocols from the open literature. The aim of the package is to be the most comprehensive library of published and tested quantum control techniques developed by the community, with easy-to-use export functions allowing users to deploy these controls on. -
16
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. -
17
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. -
18
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. -
19
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. -
20
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. -
21
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. ... -
22
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. ... -
23
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. ... -
24
G0DM0D3
LIBERATED AI CHAT
G0DM0D3 is an experimental AI interaction framework designed to enable unrestricted or “liberated” conversational behavior in language models by altering how prompts and system instructions are structured. It is part of a broader ecosystem of projects that explore the boundaries of AI alignment, control, and prompt engineering. The tool provides a collection of prompt templates and interaction patterns that attempt to override or bypass built-in behavioral constraints in language models. It is primarily used for experimentation, red-teaming, and studying how AI systems respond to unconventional or adversarial inputs. The framework reflects a growing interest in understanding how system prompts influence model outputs and how those constraints can be manipulated. ... -
25
Azure Quantum Development Kit
Azure Quantum Development Kit
Azure Quantum Development Kit, including the Q# programming language, resource estimator, and Quantum Katas. The playground is a small website that loads the Q# editor, compiler, samples, katas, and documentation for the standard library. It's a way to manually validate any changes you make to these components. The easiest way to develop in this repo is to use VS Code. When you open the project root, by default VS Code will recommend you install the extensions listed in .vscode/extensions.json. ...
