Declutter
Teach your AI agent to tidy your machine
What it does
Open-source skills that let Claude, Cursor, or Codex organize your bookmarks, downloads, desktop, photos, and notes. It backs up first, shows you the counts, waits for your yes, and hands you the undo command. Nothing is ever deleted.
Open-source skills that teach your AI agent to organize your browsers, downloads, desktop, photos, and notes. Adding support for an app is one file.
Open-source skills that organize your browsers, downloads, desktop, photos, and notes. Adding support for an app is one file. Works with any agent that reads skills. Pick whichever matches your setup. Installs all four skills wherever your agent looks for them. Then say what you want: "my downloads folder is out of control." On macOS, grant Full Disk Access to your terminal in System Settings, Privacy & Security. Without it the operating system blocks reads of app data, and every skill will say so and stop rather than half-working. Every run backs up first, shows you counts, and waits. You get the undo command when it finishes. The same page saved four times under slightly different links.…from vamgan.github.io
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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