Files
Dani 054c0e56e9 fix(commands): Remove deprecated 'model: sonnet' field from 142 command files
Removed the deprecated 'model: sonnet' field from command frontmatter to fix
compatibility issues with Claude Code. Commands will now inherit the model from
the active conversation instead of using a hardcoded deprecated model identifier.

Changes:
- Removed 'model: sonnet' from 142 command files across all categories
- Commands now use default model inheritance behavior
- Preserved 'model: claude-sonnet-4-5-20250929' in gemini-review.md (valid model)
- 67 commands without model field remain unchanged

This resolves the "model: sonnet not found" error reported in GitHub issues
and aligns with Claude Code's recommended practice of letting commands inherit
the conversation model.

Affected categories:
- Database/Supabase commands (8 files)
- Documentation commands (8 files)
- Deployment commands (11 files)
- Setup commands (14 files)
- Performance commands (8 files)
- Team commands (14 files)
- Security commands (6 files)
- NextJS/Vercel commands (10 files)
- Sync commands (14 files)
- And more across other categories

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-21 10:08:58 -04:00

2.3 KiB

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.