Agent skill
brew
Enhanced Homebrew wrapper for macOS and Linux, managing packages, mirrors, and proxies. Core Scenario: When the user needs to install, manage, or configure Homebrew packages with optimized downloads.
Install this agent skill to your Project
npx add-skill https://github.com/x-cmd/skill/tree/main/data/x-cmd/brew
SKILL.md
brew - Enhanced Homebrew Wrapper
The brew module enhances the standard Homebrew experience by providing easier access to common tasks like mirror configuration, proxy setup, and interactive package selection.
When to Activate
- When installing, removing, or listing Homebrew packages on macOS or Linux.
- When configuring Homebrew to use optimized regional mirrors (e.g., TUNA).
- When managing Homebrew's proxy settings for restricted networks.
- When performing interactive package browsing (
x brewapp).
Core Principles & Rules
- Interactive Browsing: Use the default
x brewto choose packages via TUI. - Mirror Support: Simplify mirror switching with the
mirrorsubcommand. - Privacy Focus: Easily disable Homebrew analytics via the
analyticssubcommand.
Patterns & Examples
Install Packages
# Install multiple packages at once
x brew install curl wget git
Configure Mirror
# Set Homebrew to use the Tsinghua University mirror
x brew mirror set tuna
Interactive App
# Launch interactive TUI to manage Homebrew packages
x brew
Checklist
- Confirm the names of the packages to be installed or managed.
- Verify if a mirror or proxy setup is needed for better connectivity.
- Check if the system is macOS or Linux (supported platforms).
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?