ReddRadar
Agent skill
node
Enhanced Node.js module for version management, package installation (npm/npx), and environment setup. Core Scenario: When the user needs to manage Node.js versions, run JS scripts, or install npm packages.
Install this agent skill to your Project
npx add-skill https://github.com/x-cmd/skill/tree/main/data/x-cmd/node
SKILL.md
node - Node.js Development Environment
The node module simplifies Node.js development by offering integrated version management and direct access to npm and npx tools across various platforms.
When to Activate
- When installing or switching Node.js versions.
- When using
npmto manage dependencies ornpxto run remote tools. - When executing JavaScript files in the terminal.
Patterns & Examples
Install NPM Packages
# Install a Node package globally
x node npm install -g typescript
Run Tool via NPX
# Execute a tool without local installation
x node npx create-react-app my-app
Checklist
- Verify the desired Node.js version.
- Ensure npm/npx is required for the specific task.
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
x-cmd/skill
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.
x-cmd/skill
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.
x-cmd/skill
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.
x-cmd/skill
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.
x-cmd/skill
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.
x-cmd/skill
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?