inbox-intelligence

To triage unread emails and Teams messages, this skill processes large message volumes to classify urgency and importance, separating noise from meaningful items to produce structured action lists and populate a knowledge compendium.

Entropy-aware triage evaluates inbox messages by ranking urgency, importance, and knowledge value to systematically separate noise from meaningful signals, driving actionable outputs and reducing focus loss from message flooding.

Build a knowledge compendium by organizing cross-referenced topics extracted from messages, storing structured knowledge with source links, decisions, and open items to create a persistent reference base that evolves with each session.

Yes, you can query the generated knowledge compendium to prepare meeting briefs and follow-ups, leveraging structured outputs and dynamic taxonomy to quickly retrieve relevant stakeholder decisions and open action items.

The best way to categorize large volumes of inbox signals is using entropy-aware triage, which processes messages across sources to classify signals, store structured knowledge, and deliver human-in-the-loop actions.

No external integrations are required as dependencies; the skill processes large message volumes across email and Teams sources internally to extract actionable items and store cross-referenced knowledge.