Agent skill
uninstall
Unified software uninstaller for various package managers (brew, scoop, apt, etc.). Core Scenario: When the user needs to uninstall software regardless of the package manager used.
Install this agent skill to your Project
npx add-skill https://github.com/x-cmd/skill/tree/main/data/x-cmd/uninstall
SKILL.md
uninstall - Unified Package Uninstaller
The uninstall module provides a single interface to query and remove installed software across multiple package managers including Homebrew, Scoop, APT, DNF, and more.
When to Activate
- When the user wants to uninstall a program without remembering which manager installed it.
- When performing a system cleanup of installed packages.
- When uninstalling x-cmd itself.
Core Principles & Rules
- Interactive Cleanup: Launches an interactive list of all installed packages if no arguments are given.
- Multimanager Support: Automatically detects and delegates removal to the appropriate backend (e.g., brew, scoop).
Patterns & Examples
Interactive Uninstall
# Browse all installed software and select items to remove
x uninstall
Targeted Removal
# Explicitly uninstall 'bat' from Homebrew
x uninstall brew bat
Self-Removal
# Remove x-cmd from the system
x uninstall self
Checklist
- Confirm the name of the software to be removed.
- Verify if a specific package manager should be targeted.
- Remind the user that uninstallation is typically irreversible.
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
pufferlib
High-performance reinforcement learning framework optimized for speed and scale. Use when you need fast parallel training, vectorized environments, multi-agent systems, or integration with game environments (Atari, Procgen, NetHack). Achieves 2-10x speedups over standard implementations. For quick prototyping or standard algorithm implementations with extensive documentation, use stable-baselines3 instead.
fluidsim
Framework for computational fluid dynamics simulations using Python. Use when running fluid dynamics simulations including Navier-Stokes equations (2D/3D), shallow water equations, stratified flows, or when analyzing turbulence, vortex dynamics, or geophysical flows. Provides pseudospectral methods with FFT, HPC support, and comprehensive output analysis.
metabolomics-workbench-database
Access NIH Metabolomics Workbench via REST API (4,200+ studies). Query metabolites, RefMet nomenclature, MS/NMR data, m/z searches, study metadata, for metabolomics and biomarker discovery.
geniml
This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.
zinc-database
Access ZINC (230M+ purchasable compounds). Search by ZINC ID/SMILES, similarity searches, 3D-ready structures for docking, analog discovery, for virtual screening and drug discovery.
astropy
Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.
Didn't find tool you were looking for?