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SKILL verified MIT Self-run

Notes Automation Workflows

skill-atlasomnia-donna-starter-notes-automation-workflows · by AtlasOmnia

notes-automation-workflows — Automate bulk Apple Notes workflows: discovery, filtering, and scripted enrichment for links/photos.

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Install

$ agentstack add skill-atlasomnia-donna-starter-notes-automation-workflows

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

Notes Automation Workflows

Use this skill for scripted, repeatable Apple Notes operations that go beyond single-note edits.

When to use

  • "Review my notes from last N days" or periodic cleanup/triage tasks.
  • Adding structured summaries to notes that contain links.
  • Adding summaries for image/photo notes.
  • Updating notes programmatically without manual, one-by-one edits.
  • Creating a translated or otherwise transformed copy of a rich-text note while preserving its structure.

When not to use

  • Single small edits: use the memo/Notes interactive flow directly.
  • Sensitive credential text cleanup: use explicit user confirmation before summarizing.
  • Non-Apple notes sources (Obsidian, Notion, etc.)

Prerequisites

  • macOS Notes.app
  • osascript available
  • User has granted Automation access to Notes.app in

System Settings → Privacy & Security → Automation

  • Apple Notes has the target notes in a reachable account (usually iCloud)

memo CLI reliability

The memo CLI tool frequently breaks after Homebrew/Python updates due to a stale interpreter path. Diagnose with /opt/homebrew/bin/memo 2>&1 — typical error: bad interpreter: No such file or directory. Fix via brew uninstall memo && brew install antoniorodr/memo/memo. When broken, fall through entirely to AppleScript (see search section below).

Searching notes reliably

Title-only AppleScript query is the fastest, most reliable search method. Use before any other approach:

# Search by title only — instant even with thousands of notes
osascript -e 'tell application "Notes" to get name of every note whose name contains "keyword"'

# Retrieve title + body of a single matched note (use sparingly)
osascript -e 'tell application "Notes" to set target to first note whose name contains "keyword"' \
 -e '{name:name of target, body:(body of target)}'

Critical timing constraint: Body access (body of n) iterated across every note in a large account times out at 30s. Title-only search has no this problem. Restrict full-body iteration to single-note retrieval or folder-scoped queries.

Core strategy

For anything beyond one note, use AppleScript first-pass enumeration + AppleScript updates. Avoid relying on memo index-based addressing for scripts.

For a single note that must be created and shown on screen, follow the quick-create procedure. It covers the memo bad-interpreter fallback, account/folder discovery, HTML-body creation, show/activate, and folder-scoped read-back verification.

Reliable read/write path

Use AppleScript with body (not plain text) and id:

tell application "Notes"
 set target to first note whose id is ""
 set noteBody to (body of target) as string
 set noteAttachments to count of attachments of target
end tell

Prefer updating by id for correctness and stability.

14-day sweep pattern

When a user asks for the last X days, start with a filtered enumeration in AppleScript so every candidate is in-bounds before heavy processing.

tell application "Notes"
 set cutoff to (current date) - (14 * days)
 set out to ""
 repeat with a in accounts
 set nset to (notes of a whose (modification date >= cutoff))
 repeat with n in nset
 set out to out & (id of n as string) & "\u001f" & (name of n as string) & "\u001f" & (count of attachments of n as string) & "\u001f" & ((body of n) as string) & "\n"
 end repeat
 end repeat
 return out
end tell

This keeps pagination/sort order issues out of the script and gives a stable candidate list.

Classification rules used in enrichment workflows

After loading candidates, classify each note before writing:

  1. Link note
  • URL regex appears in title or body (http:// or https://).
  1. Photo/attachment note
  • attachments > 0
  • stripped text body is minimal/noisy (`len(text) Summary:" then

set body of target to ("Summary: ...") & (body of target) end if


## Content formatting requirements

- Keep all appended summaries as HTML and prepend via `body`.
- Wrap each inserted piece in `` and separate entries with ``.
- Keep summaries short and task-scoped (2–5 sentences max).

## Link-source handling

`web_extract` coverage varies by site. If a source is unsupported:

- record that as a blocker in the summary
- summarize from cached context only when allowed
- keep a clear label so the next pass can retry when source access improves

## Validation checklist

After writes, verify:

- expected notes in scope were touched
- link notes now include one summary block each
- photo/attachment-only notes are marked in a consistent format
- non-link/non-photo notes were not unexpectedly rewritten

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [AtlasOmnia](https://github.com/AtlasOmnia)
- **Source:** [AtlasOmnia/donna-starter](https://github.com/AtlasOmnia/donna-starter)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.