hardware-assessment-workflow-multi-machine-inventory
Sub-skill of hardware-assessment: Workflow: Multi-Machine Inventory.
Best use case
hardware-assessment-workflow-multi-machine-inventory is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of hardware-assessment: Workflow: Multi-Machine Inventory.
Teams using hardware-assessment-workflow-multi-machine-inventory should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/workflow-multi-machine-inventory/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How hardware-assessment-workflow-multi-machine-inventory Compares
| Feature / Agent | hardware-assessment-workflow-multi-machine-inventory | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Sub-skill of hardware-assessment: Workflow: Multi-Machine Inventory.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Workflow: Multi-Machine Inventory
## Workflow: Multi-Machine Inventory
```bash
# 1. Copy script to each machine and run
scp hardware-assess.sh user@machine1:~/
ssh user@machine1 'bash ~/hardware-assess.sh -p -q'
scp user@machine1:~/hardware-assessment-*.json ./inventory/
# 2. Compare results
python3 -c "
import json, glob
for f in sorted(glob.glob('inventory/*.json')):
d = json.load(open(f))
cpu = d['cpu']
mem = d['memory']
gpus = d.get('gpu', [])
gpu_str = gpus[0]['name'] if gpus else 'None'
print(f\"{d['os']['hostname']:20s} | {cpu['model']:40s} | {cpu['total_cores']}C/{cpu['total_threads']}T | {mem['total_gb']} GB | {gpu_str}\")
"
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