knqyf263/pet
Pet
Pet is a command-line snippet manager used for storing, tagging, and executing frequently used shell commands and scripts. It functions as an interactive command selector and a shell history capture tool, allowing users to extract one-off commands from their history and save them as reusable snippets.
The tool distinguishes itself by integrating a git-synced configuration manager, which uses remote git provider APIs and access tokens to keep snippet collections consistent across multiple devices. It also features an interactive search interface that supports tag-based categorization for browsing and launching saved commands.
The system supports shell workflow automation through dynamic parameter expansion, prompting for user input or applying default values before executing commands in a native shell process. Snippets are organized via tag-based indexing and stored in local flat-files, with support for managing collections across multiple directories and project-specific configurations.
The project is written in Go and can be compiled into a standalone executable binary for local installation.
Features
- Terminal Command Snippets - Provides a system for storing and organizing frequently used terminal commands to avoid memorizing complex flags.
- Snippet Synchronization - Synchronizes local snippet files with remote Git providers using access tokens.
- Code Snippet Execution - Runs saved command snippets directly in the shell with support for parameter expansion.
- Snippet Search - Provides an interactive selector to locate saved commands and filter results by tags.
- Git-Based Configuration Synchronization - Synchronizes snippet collections across multiple devices using remote Git provider APIs and access tokens.
- Git-Synced Configuration Managers - Integrates a Git-synced manager to keep snippet collections consistent across multiple devices.
- Interactive Command Interfaces - Provides a searchable interface for browsing saved snippets and launching them with parameters.
- Local Shell Executions - Spawns native shell processes to run expanded snippet strings directly within the user terminal.
- Shell Command Search - Enables quick discovery of shell snippets through interactive filtering and tag-based categorization.
- Cross-Device Synchronization - Keeps terminal command libraries consistent across multiple devices using remote Git synchronization.
- History Capturing - Provides the capability to capture and save one-off commands from shell history as reusable snippets.
- Interactive Selection Interfaces - Provides a searchable terminal interface to visually browse and select command snippets.
- Dynamic Parameter Prompts - Implements dynamic parameter expansion by prompting for user input or applying defaults before executing snippets.
- Flat-File Storage - Uses flat-file storage to ensure snippet collections are portable and human-readable.
- Item Tagging and Organization - Organizes snippets with metadata labels to enable filtered searching and logical grouping.
- Dynamic Parameter Expansion - Implements dynamic parameter expansion that prompts for user input or applies default values before executing shell commands.
- Label-Based Categorization - Enables organizing and filtering shell snippets using metadata labels to group them by function.
- History Capture - Extracts commands from shell history to be saved as reusable and documented snippets.
- History-to-Snippet Conversion - Allows users to extract one-off commands from shell history and save them as reusable snippets.
- Shell Workflow Optimizers - Speeds up repetitive terminal tasks by executing saved command sequences with dynamic parameters.
- Snippet Collection Loading - Supports loading commands from multiple directories and project-specific configuration files.
Star history
How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
