spark-recipe-team-workload

Official

Spot workload imbalances across your team

Authorreaddle
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps you audit how email and assignment work is distributed across a team so you can identify overloaded members, lingering delegated items, and unassigned work.

Core Features & Use Cases

  • Per-member workload distribution: Pulls current assignments for each member to quantify loads and surface stale items.
  • Delegated-item visibility: Finds items you delegated that may still be open and potentially overdue.
  • Unassigned and shared inbox throughput: Detects unassigned work and compares open vs. done counts in shared inboxes to assess team momentum.

Quick Start

Ask an AI agent to run the Team Workload audit for your specified team name and return a summarized report of per-member counts, delegations, unassigned items, and shared inbox open-vs-done status using read-only access.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: spark-recipe-team-workload
Download link: https://github.com/readdle/spark-cli-skills/archive/main.zip#spark-recipe-team-workload

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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