Clean Email
Inbox cleanup assistant — finds newsletters you never read, promotional emails piling up, and old threads, then suggests unsubscribes and archive actions.
Inbox cleanup assistant — finds newsletters you never read, promotional emails piling up, and old threads, then suggests unsubscribes and archive actions.
Real data. Real impact.
Emerging
Developers
Per week
Excellent
Skills give you superpowers. Install in 30 seconds.
📧 by @davehappyminion
Tame the inbox chaos. Find the senders filling up your email, figure out which ones you actually read, and clear out the rest.
Using your email skill, analyze the last 30-60 days:
Sort senders into: never opened (30+ days), rarely opened (less than 20%), piling up (10+ unread), and old threads (quiet 30+ days). For each, recommend: unsubscribe, archive all, or create a filter.
📧 Inbox Cleanup — March 2026 YOUR INBOX: 847 unread from 126 senders 🗑️ UNSUBSCRIBE (12 senders, ~180 emails/month) Groupon — 22 unread, 0 opened in 60 days LinkedIn News — 18 unread, 1 opened ... (10 more) 📦 ARCHIVE (old threads, 45 emails) "Re: Holiday party planning" — last reply Dec 28 ... (8 more) 🏷️ CREATE FILTERS (useful but noisy) GitHub notifications — 34 emails, auto-label instead ✅ Potential: ~180 fewer emails/month | ~10 min to clean up
Walk the user through each action they approve — unsubscribe links, bulk archives, filter setup. Only act on what they explicitly okay.
Send summary via your messaging skill.
MIT
curl -o ~/.openclaw/workflows/clean-email.md https://raw.githubusercontent.com/nikilster/clawflows/main/workflows/available/community/clean-email/WORKFLOW.md1,500+ AI skills, agents & workflows. Install in 30 seconds. Part of the Torly.ai family.
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