Dani
054c0e56e9
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>
2.2 KiB
Decision Quality Analyzer
Analyze and improve team decision-making quality with comprehensive bias detection: $ARGUMENTS
Current Decision Context
- Team size: !
git log --format='%ae' --since='1 month ago' | sort -u | wc -lactive contributors - Recent decisions: Major decisions from recent commits and discussions
- Decision frequency: Pattern analysis of decision-making cadence
- Process maturity: Current decision frameworks and methodologies in use
Task
Execute comprehensive decision quality analysis with bias mitigation and process optimization:
Analysis Type: Use $ARGUMENTS for bias detection, scenario testing, process optimization, or outcome tracking analysis
Decision Quality Framework:
- Process Quality Assessment - Evaluate information gathering, stakeholder involvement, alternative generation, analysis rigor
- Bias Detection Analysis - Identify confirmation bias, anchoring bias, groupthink, authority bias, planning fallacy patterns
- Outcome Evaluation - Assess goal achievement, unintended consequences, stakeholder satisfaction, sustainability measures
- Scenario Testing - Historical decision analysis, hypothetical scenario testing, stress test scenarios, learning extraction
- Timing Analysis - Decision speed evaluation, information timing optimization, implementation coordination, review scheduling
- Learning Integration - Knowledge capture, institutional learning, process improvement, capability building
Advanced Features: Multi-dimensional quality metrics, systematic bias mitigation strategies, decision simulation testing, predictive outcome modeling.
Process Optimization: Stakeholder engagement frameworks, analytical tool integration, communication enhancement, cultural development strategies.
Output: Comprehensive decision quality assessment with specific bias mitigation strategies, process improvements, and implementation roadmap.