spark-recipe-shared-inbox-status
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ChineseRecipe: Shared Inbox Status
方案:共享收件箱状态
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 base skill for command reference and filter syntax.
use-sparkAccess level required: read-only.
查看一个或多个共享收件箱的健康状况——已打开项目、已完成工作、未分配邮件,以及任务在团队成员间的分配情况。
前提条件: 阅读基础技能文档以获取命令参考和筛选语法。
use-spark所需访问权限: 只读。
Steps
步骤
Step 1: Discover shared inboxes
步骤1:发现共享收件箱
bash
spark accountsNote each shared inbox address and the team it belongs to.
bash
spark accounts记录每个共享收件箱的地址及其所属团队。
Step 2: Check open items
步骤2:检查已打开项目
For each shared inbox:
bash
spark emails shared@co.com:Inbox --filter "is:shared_inbox_open"These are active items that still need attention.
针对每个共享收件箱执行:
bash
spark emails shared@co.com:Inbox --filter "is:shared_inbox_open"这些是仍需处理的活跃项目。
Step 3: Check unassigned items
步骤3:检查未分配项目
bash
spark emails shared@co.com:Inbox --filter "assigned_to:unassigned"Unassigned items are falling through the cracks - no one owns them yet.
bash
spark emails shared@co.com:Inbox --filter "assigned_to:unassigned"未分配项目属于遗漏的工作——目前还没有负责人。
Step 4: Review per-member assignments
步骤4:查看按成员划分的任务分配
bash
spark team "Team Name"The assignment summary shows how work is distributed. For a deeper look at a specific member's load:
bash
spark emails shared@co.com:Inbox --filter "assigned_to:alice@co.com"
spark emails shared@co.com:Inbox --filter "assigned_to:bob@co.com"bash
spark team "Team Name"任务分配摘要会展示工作的分布情况。如需深入查看特定成员的工作负载:
bash
spark emails shared@co.com:Inbox --filter "assigned_to:alice@co.com"
spark emails shared@co.com:Inbox --filter "assigned_to:bob@co.com"Step 5: Check completed items
步骤5:检查已完成项目
bash
spark emails shared@co.com:Inbox --filter "is:shared_inbox_done"Review recently completed items for a sense of throughput.
bash
spark emails shared@co.com:Inbox --filter "is:shared_inbox_done"查看近期已完成的项目以了解工作处理量。
Step 6: Present the status
步骤6:呈现状态报告
Report per shared inbox:
- Open: N items awaiting action
- Unassigned: M items with no owner
- Per member: assignment counts (flag anyone with significantly more or fewer)
- Done: K items completed recently
If there are multiple shared inboxes, present each separately, then a combined summary.
针对每个共享收件箱提交报告:
- 已打开: N个待处理项目
- 未分配: M个无负责人的项目
- 按成员划分: 任务分配数量(标记任务量明显过多或过少的成员)
- 已完成: K个近期完成的项目
如果存在多个共享收件箱,请分别呈现每个收件箱的报告,再提供合并后的汇总。
Tips
小贴士
- Run this daily for active shared inboxes, weekly for quieter ones.
- Unassigned items are the most actionable finding - they represent work that nobody is looking at.
- Combine per-member counts with for a fuller picture of who has bandwidth.
recipe-team-workload - If a shared inbox has high open count but low unassigned count, work is distributed but not being closed - look for stale assignments.
- Use to read any item that looks stale or unusual.
spark thread <id> - For teams with multiple shared inboxes, the total unassigned count across all inboxes is the key metric.
- 对于活跃的共享收件箱,每日执行此操作;对于使用频率较低的收件箱,每周执行一次即可。
- 未分配项目是最需要处理的发现——它们代表着无人关注的工作。
- 将按成员划分的任务数量与结合使用,以更全面地了解团队成员的可用带宽。
recipe-team-workload - 如果某个共享收件箱的已打开项目数量较多但未分配项目数量较少,说明工作已分配但未完成——需检查是否存在停滞的任务。
- 使用查看任何看起来停滞或异常的项目。
spark thread <id> - 对于拥有多个共享收件箱的团队,所有收件箱的未分配项目总数是关键指标。