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Review shared inbox health: open vs. done items, unassigned work, and per-member assignment breakdown.
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Based on SOC occupation classification
Use the spark CLI to access the user's Spark email data - list emails, search by topic, read threads, check calendar events, find availability, look up contacts, and view team info. Use when the user asks about their emails, calendar, contacts, meetings, or scheduling.
Full unsubscribe audit: scan inbox, archive, and GateKeeper for newsletter senders, classify by volume and engagement, detect phishing and duplicate subscriptions, then unsubscribe via spark action or extracted footer links.
Executive assistant persona for Spark. Morning briefings, draft replies, schedule management, and contact lookup.
Founder / CEO persona for Spark. High-volume triage, aggressive delegation, cross-team oversight, and selective engagement.
Freelancer / solo operator persona for Spark. Multi-client management, invoice follow-ups, availability, and quick responses.
Meeting manager persona for Spark. Meeting preparation, transcript review, follow-up drafts, and scheduling.
| name | spark-recipe-shared-inbox-status |
| description | Review shared inbox health: open vs. done items, unassigned work, and per-member assignment breakdown. |
| metadata | {"version":"1.0.0","requires":{"skills":["use-spark"],"accessLevel":"read-only"}} |
Review the health of one or more shared inboxes - open items, completed work, unassigned emails, and how assignments are distributed across team members.
Prerequisite: Read the use-spark base skill for command reference and filter syntax.
Access level required: read-only.
spark accounts
Note each shared inbox address and the team it belongs to.
For each shared inbox:
spark emails shared@co.com:Inbox --filter "is:shared_inbox_open"
These are active items that still need attention.
spark emails shared@co.com:Inbox --filter "assigned_to:unassigned"
Unassigned items are falling through the cracks - no one owns them yet.
spark team "Team Name"
The assignment summary shows how work is distributed. For a deeper look at a specific member's load:
spark emails shared@co.com:Inbox --filter "assigned_to:alice@co.com"
spark emails shared@co.com:Inbox --filter "assigned_to:bob@co.com"
spark emails shared@co.com:Inbox --filter "is:shared_inbox_done"
Review recently completed items for a sense of throughput.
Report per shared inbox:
If there are multiple shared inboxes, present each separately, then a combined summary.
recipe-team-workload for a fuller picture of who has bandwidth.spark thread <id> to read any item that looks stale or unusual.