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spark-recipe-team-workload
Audit team assignment distribution: per-member loads, delegated items, unassigned work, and workload imbalances.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Audit team assignment distribution: per-member loads, delegated items, unassigned work, and workload imbalances.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
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-team-workload |
| description | Audit team assignment distribution: per-member loads, delegated items, unassigned work, and workload imbalances. |
| metadata | {"version":"1.0.0","requires":{"skills":["use-spark"],"accessLevel":"read-only"}} |
Deep audit of how work is distributed across a team. Surfaces per-member assignment loads, items you've delegated, unassigned work, and imbalances.
Prerequisite: Read the use-spark base skill for command reference and filter syntax.
Access level required: read-only.
spark team "Team Name"
Note the member list, shared inboxes, and the assignment summary. This gives you the high-level distribution.
For each team member, pull their current assignments:
spark emails --filter "assigned_to:alice@co.com"
spark emails --filter "assigned_to:bob@co.com"
spark emails --filter "assigned_to:carol@co.com"
Note the count and scan subjects/dates to spot stale items (old assignments that may be stuck).
spark emails --filter "assigned_by:me"
These are items you assigned to others. Cross-reference with per-member lists to see which are still open.
spark emails --filter "assigned_to:unassigned"
If the team uses shared inboxes, also check each one:
spark emails shared@co.com:Inbox --filter "assigned_to:unassigned"
spark emails --filter "is:shared_inbox_open"
spark emails --filter "is:shared_inbox_done"
The ratio of open to done gives a sense of whether the team is keeping up.
Summarize:
team command's assignment summary is a quick snapshot; the per-member emails queries give the full picture.assigned_by:me is useful for managers and leads who delegate frequently.recipe-shared-inbox-status for a shared-inbox-focused view, or use this recipe for the broader team picture.