Agent skill
mac
Integrated utility for macOS users to manage system features via CLI and scripts. Core Scenario: When the user needs to configure TouchID for sudo, use application sandboxes, or control macOS system settings.
Install this agent skill to your Project
npx add-skill https://github.com/x-cmd/skill/tree/main/data/x-cmd/mac
SKILL.md
mac - macOS CLI Utilities
The mac module provides a comprehensive set of tools for macOS users, simplifying system administration, automation, and remote management through a unified CLI.
When to Activate
- When the user wants to enable TouchID for sudo authentication.
- When managing macOS-specific features like Dock, Launchpad, or Wallpapers.
- When controlling system volume, battery info, or performing power operations (shutdown, lock, sleep).
- When using the
sandboxfeature to restrict application access to specific directories. - When managing Apple Notes or Reminders from the terminal.
Core Principles & Rules
- Automation-Friendly: Designed for use in shell scripts to automate macOS configuration.
- Safety Levels: Use appropriate levels in the
sandboxsubcommand (-0to-9) to balance permission and security. - Alias Support: Use
alias enableto set upmas a shortcut forx mac.
Patterns & Examples
Enable TouchID for Sudo
# Allow using TouchID for sudo verification
x mac tidsudo enable
Application Sandboxing
# Run Claude with restricted access to sensitive user folders
x mac sb -9 -d "$HOME/.ssh" -d "$HOME/Library" claude
System Control
# Set system volume to 50% and lock the screen
x mac vol set 50
x mac lock
Checklist
- Confirm if the command requires administrative (sudo) privileges.
- Verify the specific paths to be allowed or denied when using
sandbox. - Ensure the correct Apple ID or App ID is used for Store/App management.
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?