Analyze Gmail threads and apply user-approved label transitions.
npx skills add https://github.com/metraton/gaia --skill gmail-triage-metraton
Please help me install this Agent Skill. Skill: gmail-triage Source: https://github.com/metraton/gaia/tree/main/skills/gmail-triage Command: npx skills add https://github.com/metraton/gaia --skill gmail-triage-metraton
Gmail inbox management is time-consuming and error-prone when handling threads, labels, and actions across large volumes. This Skill provides an interactive, state-driven approach to triage messages by analyzing threads, proposing transitions between labels (_gaia/action, _gaia/waiting, _gaia/someday, _gaia/pending), and executing user-approved changes.
Review my Gmail threads, propose label transitions, and apply user-approved changes to organize my inbox.
High-intent search queries and answers about installing and using this skill.
Gmail triage automation analyzes your inbox threads and proposes label transitions to states like _gaia/action or _gaia/waiting. It batches decisions and executes only your user-approved changes to organize messages efficiently.
Label-based inbox cleanup works by analyzing email threads and proposing transitions between status labels such as _gaia/pending, _gaia/someday, and _gaia/action. This state-driven approach tracks urgency and work status before executing approved actions.
Yes, you can batch organize Gmail threads safely. The triage process enforces safety constraints via gmail-policy rules, preventing unsafe changes and ensuring every label transition requires explicit user consent before execution.
The best way to track waiting emails is using a state-driven triage workflow that proposes label transitions to _gaia/waiting. This categorizes threads by urgency and work status, keeping your inbox organized and actionable.
Gmail triage requires manual confirmation for label changes to ensure safety. It proposes transitions across states like _gaia/action and _gaia/pending, but only executes actions after receiving explicit user approval.
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