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davila7--claude-code-templates/cli-tool/components/commands/team/team-workload-balancer.md
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allowed-tools: Read, Bash, Grep, Glob argument-hint: [analysis-type] | --current-workload | --skill-matching | --capacity-planning | --assignment-optimization description: Analyze and optimize team workload distribution with skill matching and capacity planning

Team Workload Balancer

Analyze and optimize team workload distribution with intelligent assignment recommendations: $ARGUMENTS

Current Team Context

  • Team size: !git log --format='%ae' --since='1 month ago' | sort -u | wc -l active team members
  • Active tasks: Linear MCP query for current sprint tasks and assignments
  • Recent activity: !git log --oneline --since='1 week ago' | wc -l commits in last week
  • Capacity metrics: Analysis of team velocity and individual contribution patterns

Task

Execute comprehensive workload analysis with intelligent assignment optimization:

Analysis Type: Use $ARGUMENTS to focus on current workload assessment, skill matching, capacity planning, or assignment optimization

Workload Balancing Framework:

  1. Current Workload Assessment - Analyze task distribution, evaluate individual capacity, assess deadline pressure, identify overloaded team members
  2. Skill Matching Analysis - Map team member expertise, identify skill gaps, assess learning opportunities, optimize skill utilization
  3. Capacity Planning - Calculate available capacity, project future workload, plan skill development, optimize resource allocation
  4. Performance Integration - Analyze historical performance, identify productivity patterns, assess collaboration effectiveness, factor in availability constraints
  5. Assignment Optimization - Generate optimal task assignments, balance workload distribution, maximize skill utilization, minimize bottlenecks
  6. Risk Mitigation - Identify single points of failure, plan cross-training, assess knowledge distribution, ensure backup coverage

Advanced Features: Predictive workload modeling, skill gap analysis, burnout prevention, performance-based assignment, dynamic rebalancing recommendations.

Quality Metrics: Workload distribution equity, skill utilization efficiency, team satisfaction indicators, delivery predictability measures.

Output: Comprehensive workload analysis with optimized assignments, capacity recommendations, skill development plans, and team health insights.

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