Agent skill
x-install
Software installation assistant using x-cmd's install module. Use this skill whenever the user needs to query software installation methods, get installation commands, or understand how to install various software packages. Covers: getting installation commands (x install --cat <software>), listing supported software (x install --ll), and more. Triggered by queries like "how to install node", "docker installation command", "install python", "show me git install command", or any software installation lookup.
Install this agent skill to your Project
npx add-skill https://github.com/x-cmd/skill/tree/main/data/x-cmd/x-install
Metadata
Additional technical details for this skill
- tags
-
shell cli tools install software package-manager
- author
- X-CMD
- version
- 1.0.0
- category
- core
- repository
- https://github.com/x-cmd/skill
- install doc
- data/install.md
- display name
- Software Installation Assistant
SKILL.md
x install - Software Installation Assistant
Prerequisites
-
Load x-cmd before use:
bash. ~/.x-cmd.root/X -
x-cmd not installed? → data/install.md
Core Functions
- Get installation command:
x install --cat <software> - List supported software:
x install --ll
Usage Examples
Get installation command for specific software
x install --cat git
x install --cat docker
x install --cat node
x install --cat python
List all supported software
x install --ll
Common Scenarios
- Get Git installation command:
x install --cat git - Get Docker installation command:
x install --cat docker - Get Node.js installation command:
x install --cat node - Get Python installation command:
x install --cat python - Get Claude Code installation command:
x install --cat claude-code
Get Help
Run x install --help for full help documentation.
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?