Preflight

Check disk space, RAM, and GPU status against predefined thresholds.

Updated Mar 7, 2026
One-click install
npx skills add https://github.com/nop2099/ai-book --skill preflight-nop2099
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Preflight
Source: https://github.com/nop2099/ai-book/tree/main/.claude/skills/preflight
Command: npx skills add https://github.com/nop2099/ai-book --skill preflight-nop2099

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill ensures your system has sufficient resources (disk space, RAM, GPU) before running demanding tasks, preventing crashes and optimizing performance.

Core Features & Use Cases

  • Resource Monitoring: Checks disk space, available RAM, and GPU/accelerator status.
  • Threshold Alerts: Provides GO/CAUTION/NO-GO recommendations based on predefined resource levels.
  • Use Case: Before starting a large AI model training job, run Preflight to confirm you have enough disk space and RAM, avoiding a mid-process failure.

Quick Start

Run the preflight skill to check system resources.

Frequently Asked Questions about Preflight

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I check system resources before starting a large ML inference job?

To check system resources before ML inference, you can run a preflight check to verify available disk space, RAM, and GPU accelerator status. This prevents mid-process crashes by providing GO or NO-GO recommendations based on predefined resource thresholds.

What is a preflight resource check and when do I need it?

A preflight resource check evaluates system constraints like available RAM and disk space to prevent resource exhaustion. You need it before running demanding workloads such as large builds, ML inference, or memory-intensive operations to ensure system stability.

Can I get a GO or NO-GO recommendation for running memory-intensive operations?

Yes, you can get a GO, CAUTION, or NO-GO recommendation for memory-intensive operations by evaluating current system resources against predefined thresholds. This alerts you to potential RAM or disk space exhaustion before you commit to a heavy workload.

How do I verify available RAM and GPU status before a heavy build?

To verify available RAM and GPU accelerator status before a heavy build, run a system resource check. This process evaluates your hardware against predefined limits and returns a CAUTION alert if available memory is insufficient for the workload.

Does this system monitoring tool track disk space for large AI model training?

Yes, this system monitoring tool tracks available disk space alongside RAM and GPU status. It is specifically designed to prevent resource exhaustion during large AI model training jobs by providing threshold-based alerts.