Recipe: Team Workload

SkillAI & models

Audit team assignment distribution: per-member loads, delegated items, unassigned work, and workload imbalances.

Available today. Use it from your connected AI after setup.

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 team tool's assignment summary is a quick snapshot; the per-member emails queries give the full picture.
  • Stale assignments (older than 7-14 days) are worth flagging - they may be stuck or forgotten.
  • assigned_by:me is 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-status for 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