13 projects for "command prompt tutorial" with 2 filters applied:

  • Ship Agents Faster Icon
    Ship Agents Faster

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    Cut Data Warehouse Costs by 54%

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  • 1
    GPTImage2Skill

    GPTImage2Skill

    GPT Image 2 prompt gallery, image prompt library, agentic skill

    GPTImage2Skill is a curated prompt gallery, agent skill, and command-line workflow for working with GPT Image 2 generation and editing. It provides reusable image prompts across creative, technical, academic, interface, design, photography, typography, gaming, anime, map, tattoo, and reference-editing use cases. The project is designed to help agents and users produce stronger visual outputs without starting from a blank prompt every time.
    Downloads: 0 This Week
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  • 2
    GPT-Image2-Skill

    GPT-Image2-Skill

    GPT Image 2 prompt gallery, image prompt library, agentic skill

    GPT-Image2-Skill is a prompt gallery, image prompt library, agent skill, and CLI for OpenAI image generation and editing workflows. It collects curated prompt examples with generated outputs so users can reuse strong visual patterns instead of starting from scratch. The project includes categories such as anime, gaming, cyberpunk, animation, character design, typography, illustration, watercolor, ink, pixel art, isometric scenes, product visuals, and food imagery. It can be installed as an...
    Downloads: 3 This Week
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  • 3
    Prompt Engineering Interactive Tutorial

    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.
    Downloads: 1 This Week
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  • 4
    Mastering Zsh

    Mastering Zsh

    Advanced topics to take advantage of zsh

    Mastering Zsh is a documentation project focused on helping users go beyond basic shell usage and take better advantage of zsh. It is written for people who already understand shell fundamentals but want a more powerful, customized, and efficient command-line setup. The guide covers advanced usage, practical examples, and configuration ideas that make zsh more productive. It explains topics such as completions, prompt customization, helper functions, and shell behavior in a structured way. The project is especially useful for developers, DevOps users, and terminal-heavy workflows. ...
    Downloads: 1 This Week
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  • Custom VMs From 1 to 96 vCPUs With 99.95% Uptime Icon
    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

    General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

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  • 5
    Zsh for Humans

    Zsh for Humans

    A turnkey configuration for Zsh

    ...Instead of requiring you to pick and wire together many plugins and themes yourself, it bundles a curated set of Zsh plugins and settings into a coherent, production-ready configuration. The project handles prompt customization, completions, key bindings, history management, and Git integration for you, all tuned for responsiveness and low latency. It is designed to feel like a finished product rather than a DIY starter kit, so new users can get a high-quality shell experience with a single install command. At the same time, it provides escape hatches and configuration points so advanced users can layer their own aliases, functions, and styles on top of the base setup. ...
    Downloads: 0 This Week
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  • 6
    LLM CLI

    LLM CLI

    Access large language models from the command-line

    A CLI utility and Python library for interacting with Large Language Models, both via remote APIs and models that can be installed and run on your own machine.
    Downloads: 0 This Week
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  • 7
    GoNB

    GoNB

    GoNB, a Go Notebook Kernel for Jupyter

    ...It already includes many goodies: cache between cell of results, contextual help and auto-complete (with gopls), compilation error context (by mousing over), bash command execution, images, html, etc. See the tutorial. It's been heavily used by the author (in developing GoMLX, a machine learning framework for Go), but should still be seen as experimental — if we hear success stories from others, we can change this.
    Downloads: 2 This Week
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  • 8
    Learning Prompt

    Learning Prompt

    Free prompt engineering online course

    Learning-Prompt is a curated repository of prompts, techniques, and instructional patterns designed to help people construct better prompts for AI systems, including generation, reasoning, and debugging tasks. It collects examples of effective prompt formats, chains of thought, strategy scaffolds, and comparative methods that help yield consistent, high-quality results. The project also includes meta-guidance: reflections on prompt failures, tips for prompt tuning, ways to mitigate model...
    Downloads: 0 This Week
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  • 9
    Linux-Tutorial

    Linux-Tutorial

    Learning repository written from the perspective of a Java programmer

    Linux-Tutorial is a Simplified Chinese Linux learning repository written from the perspective of a Java programmer. It aims to help more developers enter the Linux world by organizing practical notes, installation guides, command references, and server setup material. The content covers Linux basics, Ubuntu, CentOS, Kali Linux, VMware, Vim, SSH, Bash, Sed, compression tools, Yum, Zsh, and many development operations topics.
    Downloads: 0 This Week
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  • Host LLMs in Production With On-Demand GPUs Icon
    Host LLMs in Production With On-Demand GPUs

    NVIDIA L4 GPUs. 5-second cold starts. Scale to zero when idle.

    Deploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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  • 10
    evil.sh

    evil.sh

    Subtle and not-so-subtle shell tweaks

    evil.sh is a shell script collection of “subtle and not-so-subtle shell tweaks that will slowly drive people insane,” as the README states. It is a playful (some might say mischievous) set of shell customizations, aliases, overrides or environment changes intended for fun (or prank) usage—e.g., customizing the shell prompt, redirecting commands, changing behaviors of common commands in subtle ways. The repository warns that it is purely for entertainment and that the author is not...
    Downloads: 0 This Week
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  • 11
    Qoa

    Qoa

    Minimal interactive command-line prompts library

    Qoa is a lightweight command-line prompt library for Node.js. It helps developers collect user input through simple, interactive, and configurable terminal prompts. The library has no external dependencies, which makes it small, fast, and easy to add to CLI tools. It includes seven prompt types, covering plain input, confirmation, password-style hidden input, single-key input, quizzes, and navigable choices.
    Downloads: 0 This Week
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  • 12
    Functional, Data Science Intro To Python

    Functional, Data Science Intro To Python

    [tutorial]A functional, Data Science focused introduction to Python

    The first section is an intentionally brief, functional, data science-centric introduction to Python. The assumption is a someone with zero experience in programming can follow this tutorial and learn Python with the smallest amount of information possible. The sections after that, involve varying levels of difficulty and cover topics as diverse as Machine Learning, Linear Optimization, build systems, command line tools, recommendation engines, Sentiment Analysis and Cloud Computing.
    Downloads: 0 This Week
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  • 13
    Python/xarray tutorial

    Python/xarray tutorial

    Python/xarray tutorial for GEOS-Chem users

    If the page is loaded successfully, you should see a Jupyter notebook interface. Then, click on the first notebook to get started. Jupyter combines Python code, execution results, plots, custom texts, and even Latex formulas in a single page. Besides using the Jupyter program, you can also view the static notebook on GitHub (e.g the first notebook). Python is free & open-source so can be easily installed on any machines. To best way to get the scientific Python environment is using the Conda...
    Downloads: 0 This Week
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