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Generate optimized scripts that utilize the specific hardware (cores, GPU, OS) of the execution environment.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
A QA gate that validates potentially destructive or irreversible actions before execution.
Detect and prevent state-visibility violations across execution contexts within a single transaction.
Convert mixed terminal output and instructions into safe, paste-ready command blocks.
Prepares isolated sub-workspaces for parallel agent execution. Copies context and generates specific mission instructions for "Worker" agents.
Structured logging and analysis of execution failures to prevent recurrence.
Detects when the agent is stuck in a reasoning loop or unproductive state by analyzing tool usage and sentiment patterns.
| 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 |
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.
optimize script executionget system profilerun with max performancegenerate hardware aware script| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
--output-dir | string | No | .env | Directory to save profile |
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
}
}
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
nvidia-smi to infer CUDA.-j): Logical Cores.multiprocessing to crunch data, utilizing all 12 cores of "The Beast".