skills/apple-mail/mail-action-items/SKILL.md
Extract action items, tasks, and to-dos from recent emails. Scan email bodies for requests, deadlines, approvals needed, and follow-ups. Use when user wants to know what they need to do based on their email, or asks "what do I need to act on?" Arguments: optional time range (default: last 3 days) or account filter.
npx skillsauth add aashari/ai-agent-skills mail-action-itemsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Time window: $ARGUMENTS (default: last 3 days)
DB="$HOME/Library/Mail/V10/MailData/Envelope Index"
SINCE=$(($(date +%s) - 259200)) # 3 days default; adjust per $ARGUMENTS
sqlite3 "$DB" "
SELECT datetime(m.date_received,'unixepoch','localtime') as dt,
s.subject, a.address as sender, a.comment as name,
mb.url as mailbox, m.ROWID, m.read, m.is_urgent
FROM messages m
JOIN subjects s ON m.subject = s.ROWID
JOIN addresses a ON m.sender = a.ROWID
JOIN mailboxes mb ON m.mailbox = mb.ROWID
WHERE m.date_received >= ${SINCE}
AND m.deleted = 0
AND m.automated_conversation != 2
AND mb.url NOT LIKE '%Spam%' AND mb.url NOT LIKE '%Trash%'
AND mb.url NOT LIKE '%Sent%'
AND (
s.subject LIKE '%action required%'
OR s.subject LIKE '%please review%'
OR s.subject LIKE '%approval%'
OR s.subject LIKE '%approve%'
OR s.subject LIKE '%sign off%'
OR s.subject LIKE '%deadline%'
OR s.subject LIKE '%due%'
OR s.subject LIKE '%RSVP%'
OR s.subject LIKE '%respond by%'
OR s.subject LIKE '%feedback%'
OR s.subject LIKE '%request%'
OR m.is_urgent = 1
OR m.flagged = 1
)
ORDER BY m.is_urgent DESC, m.date_received DESC;" 2>/dev/null
sqlite3 "$DB" "
SELECT datetime(m.date_received,'unixepoch','localtime') as dt,
s.subject, a.address as sender, m.ROWID
FROM messages m
JOIN subjects s ON m.subject = s.ROWID
JOIN addresses a ON m.sender = a.ROWID
JOIN mailboxes mb ON m.mailbox = mb.ROWID
WHERE m.date_received >= ${SINCE}
AND m.read = 0 AND m.deleted = 0
AND m.automated_conversation != 2
AND m.unsubscribe_type = 0
AND mb.url NOT LIKE '%Spam%' AND mb.url NOT LIKE '%Trash%'
AND mb.url NOT LIKE '%Sent%'
ORDER BY m.date_received DESC;" 2>/dev/null
For each candidate email, parse the body:
python3 ~/.claude/skills/_mail-shared/parser.py <ROWID1> <ROWID2> ...
Look for action-item patterns in the body text:
Action Items from Your Email (last 3 days)
For each item:
Group by: Overdue → Today → This week → No deadline Mark items from unread emails with [UNREAD].
data-ai
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testing
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data-ai
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testing
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