Download File Archiver Assistant
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About this skill
Problem
Download folders often accumulate temporary files such as installers, documents, and data exports. Manual cleanup is easy to repeat and hard to keep consistent, especially when files come from multiple tools and time periods. This skill targets that knowledge-management pain point: turning downloads from a temporary drop zone into a more organized archive.
How It Works and Limits
The package includes download-archiver/SKILL.md and scripts/auto_archive.py, suggesting that the archive workflow is driven by a documented skill definition plus a Python script. The practical flow can be read as:
- Select files to archive: inspect the download directory and determine which files are eligible for archiving.
- Run the archive step: use auto_archive.py to perform the archive operation defined by the skill.
- Keep a usable structure: leave the downloads area cleaner and the archived items easier to locate later.
Because the provided SKILL.md content is not readable as plain text, specific rules for naming, conflicts, exclusions, or recovery are not asserted here. Before applying it broadly, test it on a small directory and verify the behavior of auto_archive.py against the intended archive policy.
Use Cases
- Move eligible installers and docs out of a cluttered Downloads folder into agreed archive directories.
- Clean up browser-generated data exports so they stop occupying the temporary download folder.
- Run `auto_archive.py` on a small test directory to verify behavior before broader use.
Best For
- Knowledge-management users who organize local files and want scattered Downloads items archived into a stable structure.
- Analysts who download data exports from browsers and need fewer unrelated files accumulating in Downloads.
- Information managers who maintain team knowledge assets and want scripted download archiving with a reviewable structure.
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