list-downloaded-models

List downloaded models by inspecting the ./models/{ENGINE_VERSION} directory structure.

1.7k|68|Updated Jun 23, 2025

Search Tags:#automation #models #filesystem #list #downloads #model-management #engine-version

Ready to run

npx skills add https://github.com/trymirai/uzu --skill list-downloaded-models

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: list-downloaded-models
Source: https://github.com/trymirai/uzu/tree/main/agents/skills/list-downloaded-models
Command: npx skills add https://github.com/trymirai/uzu --skill list-downloaded-models

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Quickly determine which AI models are currently downloaded and available for use, reducing guesswork and setup time.

Core Features & Use Cases

Enumerates directories under ./models/{ENGINE_VERSION} to reveal available models.
Supports multi-version setups to compare models across engine versions.
Useful for cleanup scripts and validation before model deployment or training.

Quick Start

List the folders inside ./models to see which models are currently downloaded.

Frequently Asked Questions about list-downloaded-models

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

FAQPage Schema

How do I list downloaded models in my local environment?▼

To list downloaded models, inspect the ./models/{ENGINE_VERSION} directory structure to enumerate available folders. This reveals a concise inventory without requiring external dependencies.

Can I compare downloaded models across different engine versions?▼

Yes, you can compare downloaded models across engine versions by enumerating the directories under ./models/{ENGINE_VERSION}. This supports multi-version setups to validate and compare available models.

Do I need any external dependencies to read the models layout from the file system?▼

No external dependencies are required to read the models layout from the file system. The task inspects the directory structure directly to present a concise inventory of available models.

What's the best way to validate available models before deployment?▼

The best way to validate available models before deployment is to inspect the ./models/{ENGINE_VERSION} directory structure. This provides a concise inventory for cleanup scripts and validation tasks.

Why does my model management script need to inspect the models directory?▼

Your model management script needs to inspect the models directory to determine which AI models are currently downloaded and available for use, reducing guesswork and setup time before deployment or training.