agentleFS
alexjmiller5alexjmiller5/agent-config-public/skills/apple-notes/SKILL.md

apple-notes

Skill0 starsChanged 41 days agoMITView on GitHub

Create, view, edit, delete, search, move, or export Apple Notes via the memo CLI and AppleScript on macOS. Use for any task reading or writing the user's Apple Notes.

  • Installs packages

64 other projects use a version of this, 34 of them edited.

Adopted by

Most recently taken up by

Used with

Projects with it also use taskflow-inbox-triage, openclaw-release-maintainer and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • AtomicBot-aiSkill

    taskflow-inbox-triage

    Also in 6 projects that use this

  • hkyutongSkill

    openclaw-release-maintainer

    Maintainer workflow for OpenClaw releases, prereleases, changelog release notes, and publish validation. Use when Codex needs to prepare or verify stable or beta release steps, align version naming, assemble release notes, check release auth requirements, or validate publish-time commands and artifacts.

    Also in 4 projects that use this

  • AtomicBot-aiSkill

    taskflow

    Also in 6 projects that use this

  • math-incSkill

    findmy

    Track Apple devices and AirTags via FindMy.app on macOS using AppleScript and screen capture.

    Also in 10 projects that use this

  • hkyutongSkill

    node-connect

    Diagnose OpenClaw node connection and pairing failures for Android, iOS, and macOS companion apps. Use when QR/setup code/manual connect fails, local Wi-Fi works but VPS/tailnet does not, or errors mention pairing required, unauthorized, bootstrap token invalid or expired, gateway.bind, gateway.remote.url, Tailscale, or plugins.entries.device-pair.config.publicUrl.

    Also in 8 projects that use this

  • math-incSkill

    jupyter-live-kernel

    Use a live Jupyter kernel for stateful, iterative Python execution via hamelnb. Load this skill when the task involves exploration, iteration, or inspecting intermediate results — data science, ML experimentation, API exploration, or building up complex code step-by-step. Uses terminal to run CLI commands against a live Jupyter kernel. No new tools required.

    Also in 5 projects that use this

  • +1 more from math-inc

The file

We split this skill into the rules it gives an agent

4 rules. 0 are common, 1 is distinctive, and 3 are very specific to this project.

  • 0

    Common

    Most of the 62 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 3

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Use memo notes to manage Apple Notes directly from the terminal.

    line 8
  2. Very specific:

    Search notes (fuzzy): memo notes -s "query"

    line 21
  3. Very specific:

    Add a new note: memo notes -a [-f "Folder Name"]

    line 25
  4. Distinctive:

    Delete by title (Recently Deleted keeps 30 days as the safety net):

    line 57

“Common” is measured: kept by at least 6 in 10 of the 62 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Apple Notes CLI

Use memo notes to manage Apple Notes directly from the terminal. Create, view, edit, delete, search, move notes between folders, and export to HTML/Markdown.

Setup

  • Preferred install: a shell wrapper around uvx --from git+https://github.com/antoniorodr/memo memo (the brew formula's python can be broken). Update: uvx --refresh --from git+https://github.com/antoniorodr/memo memo --version.
  • Alternative: brew tap antoniorodr/memo && brew install antoniorodr/memo/memo (on declaratively managed machines, declare it in your config - never ad-hoc).
  • macOS-only; requires an Automation TCC grant (calling app → Notes). If AppleScript errors with -1743, enable it in System Settings → Privacy & Security → Automation, or run one memo/osascript command from the target app to trigger the prompt.

View Notes

  • List all notes: memo notes
  • Filter by folder: memo notes -f "Folder Name"
  • Search notes (fuzzy): memo notes -s "query"

Create Notes

  • Add a new note: memo notes -a [-f "Folder Name"]
    • -a takes NO title argument (memo notes -a "Title" errors). It opens $EDITOR on a temp file; first line becomes the title. For non-interactive/agent use, point EDITOR at a script that writes the content into "$1".

Edit / Delete / Move / Export

  • memo notes -e / -d / -m / -ex open an interactive selector on a TTY and cannot be driven by an agent. Use the osascript primitives below instead.

osascript primitives (canonical mechanics)

Bulk-read every note body in a folder (memo's list truncates titles):

osascript -e 'tell application "Notes"
  set out to ""
  repeat with n in notes of folder "Notes" of account "iCloud"
    set out to out & "=====NOTE=====" & linefeed & (name of n) & linefeed & (plaintext of n) & linefeed
  end repeat
  return out
end tell'

Creation date of a note (for backdating retroactive entries):

osascript -e 'tell application "Notes" to get creation date of first note of folder "Notes" of account "iCloud" whose name is "TITLE"'

Delete by title (Recently Deleted keeps 30 days as the safety net):

osascript -e 'tell application "Notes" to delete (first note of folder "Notes" of account "iCloud" whose name is "TITLE")'

Folder names: osascript -e 'tell application "Notes" to return name of folders of account "iCloud"'.

Limitations

  • Cannot edit notes containing images or attachments.
  • Interactive prompts may require terminal access.
  • memo caches note lists; a fetch made while TCC was denied caches an empty list that persists after access is granted - pass -nc to bypass/refresh.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.