Speed up your Git workflow. :tropical_fish:
Las características principales de joseluisq/gitnow son: Shell Utilities.
Las alternativas de código abierto para joseluisq/gitnow incluyen: akavel/up — Up is an interactive shell pipeline tool and Linux pipeline builder designed for prototyping text-processing… alexanderepstein/bash-snippets — This project is a collection of bash automation scripts and command-line utilities designed to automate common tasks… bugswriter/tuxi — Tuxi is a cli assistant. Get answers of your questions instantly. envio-cli/envio — A secure command-line tool for managing environment variables. fabioantunes/base16-fish-shell — base16 for fish shell. adambrenecki/virtualfish — Fish shell tool for managing Python virtual environments.
Up is an interactive shell pipeline tool and Linux pipeline builder designed for prototyping text-processing sequences. It provides a terminal user interface for constructing chains of shell commands while displaying real-time data transformations. The tool allows for the iterative development of command sequences with an instant live preview of processing results. Once a sequence is finalized, it functions as a shell script generator that exports the completed pipeline into a reusable script file. The workspace includes capabilities for terminal data exploration and text processing workflow
This project is a collection of bash automation scripts and command-line utilities designed to automate common tasks and retrieve information from web APIs. It serves as a toolkit for developer references, network diagnostics, and media access directly from the terminal. A central component of the suite is a GitHub Gist manager that handles the full lifecycle of code snippets. This includes cloning and syncing Gists into local directories for offline access, organizing content through hashtags, and searching through snippet descriptions and file contents using regular expressions. The toolki
Tuxi is a cli assistant. Get answers of your questions instantly.
Fish shell tool for managing Python virtual environments