Recipe: Team Workload
SkillAI & modelsAudit team assignment distribution: per-member loads, delegated items, unassigned work, and workload imbalances.
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Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Recipe: Team Workload skill
What this skill tells your AI
The instructions your AI receives, as published by readdle/spark-claude-extension in skill/recipe-team-workload/SKILL.md and read by ahel’s review.
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 spark base skill for tool reference and filter syntax.
Access level required: read-only.
Steps
Step 1: Get the team overview
team { "name": "Team Name" }
Note the member list, shared inboxes, and the assignment summary. This gives you the high-level distribution.
Step 2: Review per-member assignments
For each team member, pull their current assignments:
emails { "filter": "assigned_to:alice@co.com" }
emails { "filter": "assigned_to:bob@co.com" }
emails { "filter": "assigned_to:carol@co.com" }
Note the count and scan subjects/dates to spot stale items (old assignments that may be stuck).
Step 3: Check what you've delegated
emails { "filter": "assigned_by:me" }
These are items you assigned to others. Cross-reference with per-member lists to see which are still open.
Step 4: Find unassigned work
emails { "filter": "assigned_to:unassigned" }
If the team uses shared inboxes, also check each one:
emails { "folder": "shared@co.com:Inbox", "filter": "assigned_to:unassigned" }
Step 5: Check open vs. done in shared inboxes
emails { "filter": "is:shared_inbox_open" }
emails { "filter": "is:shared_inbox_done" }
The ratio of open to done gives a sense of whether the team is keeping up.
Step 6: Present the workload report
Summarize:
- Per member: assignment count and any notably old items
- Imbalances: flag members with significantly more or fewer assignments than average
- Delegated by you: N items still open, any that look overdue
- Unassigned: M items with no owner
- Throughput: open vs. done ratio across shared inboxes
Tips
- Run this weekly to catch imbalances before they become problems.
- The
teamtool's assignment summary is a quick snapshot; the per-memberemailsqueries give the full picture. - Stale assignments (older than 7-14 days) are worth flagging - they may be stuck or forgotten.
assigned_by:meis useful for managers and leads who delegate frequently.- Compare this week's numbers to last week's (if you track them) to spot trends.
- Combine with
recipe-shared-inbox-statusfor a shared-inbox-focused view, or use this recipe for the broader team picture. - For large teams, focus on outliers rather than reporting every member - highlight who's overloaded and who has bandwidth.
Signals
- GitHub stars
- 42
- Forks
- 1
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
spark-recipe-team-workload- Source
- github.com/readdle/spark-claude-extension