AI Download Cleaner: Organize & Optimize Your NAS Files

AI Download Cleaner: Organize & Optimize Your NAS Files

The AI Download Cleaner skill assists in organizing and optimizing files within network-attached storage (NAS) download directories. It classifies files based on type and usage, providing recommended actions to manage redundant and incomplete downloads effectively.

What this skill does

• Scans NAS directories mounted locally through SMB or NFS protocols; no third-party dependencies are required beyond Python 3.9 installation.
• Categorizes files as incomplete downloads, torrents, installation packages, and other file types commonly found in download directories.
• Recommends actions such as deletion, extraction, or moving files to appropriate library directories based on their category.
• Generates a cleanup plan using a large language model (LLM) based on these recommendations, which users can review before agents execute the necessary file operations.

Who it is for

• Developers and teams utilizing AI coding agents such as Claude Code, Cursor, and Codex.
• IT professionals managing network-attached storage systems seeking to streamline their download directories.
• Teams looking to reduce clutter and optimize storage efficiency by automating mundane file management tasks.

Use cases

• Organizing NAS download directories cluttered with incomplete and redundant downloads.
• Classifying and recommending action for installation packages, torrent files, and media awaiting archiving.
• Supporting manual review and confirmation of file management actions through an agent-driven execution process.

Technical details

• Requires Python 3.9 or higher; operates locally on NAS-mounted paths via SMB or NFS.
• The lightweight script leverages Python's standard library, allowing for a seamless and dependency-free setup.
• Does not automatically delete or alter files; user confirmation is required to execute actions derived from the LLM-generated plan.
• Keywords triggering this skill include: "download cleaner", "clean downloads", "download directory management".

Source & Licence

This package is built on open-source work published by skyzhao1223 (skyzhao1223/zspace-cli) and distributed under MIT. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

• Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
• Format: ZIP archive containing the skill files, documentation and the original licence.
• Support: support@mcpcart.com — we aim to reply within 2 business days.
• Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.