environment-specific-bash-mastery

name	Environment-Specific Bash Mastery
description	Generate optimized scripts that utilize the specific hardware (cores, GPU, OS) of the execution environment.
version	1.0.0
author	Antigravity Skills Library
created	"2026-01-16T00:00:00.000Z"
leverage_score	4/5

SKILL-013: Environment-Specific Bash Mastery

Overview

Executes "Hardware-Aware Execution" by profiling the host machine (CPU cores, RAM availability, OS Version, GPU presence) to generate execution scripts that maximize performance. No more single-threaded scripts on a 12-core beast.

Trigger Phrases

• optimize script execution
• get system profile
• run with max performance
• generate hardware aware script

Inputs

Parameter	Type	Required	Default	Description
--output-dir	string	No	.env	Directory to save profile

Outputs

1. SYSTEM_PROFILE.json

Detailed hardware specs:

{
  "os": "Microsoft Windows 10.0.22631",
  "cpu": {
    "name": "AMD Ryzen 9 7900X 12-Core Processor",
    "cores": 12,
    "logical_processors": 24
  },
  "memory": {
    "total_gb": 64,
    "free_gb": 32
  },
  "flags": {
    "has_cuda": true,
    "has_avx2": true,
    "is_wsl": false
  }
}

2. OPTIMIZED_FLAGS.env

Environment variables ready to be sourced:

export MAKE_JOBS=24
export OMP_NUM_THREADS=24
export NODE_OPTIONS="--max-old-space-size=60000"
export PYTHON_MULTIPROCESSING=1

Preconditions

1. PowerShell access to WMI/CIM or system commands.

Implementation

Script: detect_env.ps1

1. Queries WMI (Win32_Processor, Win32_OperatingSystem) to get raw stats.
2. Detects Capabilities: Checks for nvidia-smi to infer CUDA.
3. Calculates Optimal Settings:
   • Compile Jobs (-j): Logical Cores.
   • Node Memory: 90% of Total RAM.
4. Outputs JSON & ENV profiles.

Use Cases

1. High Performance: Writing a Python script that uses multiprocessing to crunch data, utilizing all 12 cores of "The Beast".
2. System Hardening: Generating backup scripts that know exactly which drive is the encrypted local backup based on volume labels.