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

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2.0 KiB
Markdown

---
allowed-tools: Read, Write, Edit, WebSearch
argument-hint: [simulation-type] | --business | --technical | --behavioral | --strategic
description: Calibrate simulation accuracy with systematic validation, bias detection, and continuous improvement
---
# Simulation Calibrator
Calibrate simulation accuracy with comprehensive validation and continuous improvement: **$ARGUMENTS**
## Current Simulation State
- Simulation type: Based on $ARGUMENTS (business, technical, behavioral, strategic simulation)
- Accuracy requirements: Mission-critical (95%+), strategic (80-95%), or exploratory (50-70%)
- Validation data: Historical outcomes, real-world benchmarks, and expert assessments
- Performance metrics: Current accuracy levels and improvement opportunities
## Task
Implement systematic simulation calibration with comprehensive accuracy improvement:
**Simulation Type**: Use $ARGUMENTS to calibrate business simulations, technical models, behavioral predictions, or strategic scenarios
**Calibration Framework**:
1. **Baseline Assessment** - Historical validation, accuracy metrics, and error pattern analysis
2. **Bias Detection** - Systematic identification of cognitive, data, and model biases with mitigation strategies
3. **Validation Loops** - Multi-level validation with internal consistency, expert review, and empirical testing
4. **Real-Time Calibration** - Continuous monitoring, automated adjustments, and adaptive learning integration
5. **Quality Assurance** - Meta-calibration assessment and improvement sustainability
6. **Improvement Roadmap** - Systematic enhancement strategies with performance tracking
**Advanced Features**: Automated bias detection, machine learning calibration, cross-simulation learning, and predictive accuracy optimization.
**Quality Control**: Independent validation, benchmark comparison, and comprehensive documentation for institutional learning.
**Output**: Calibrated simulation with validated accuracy metrics, bias correction reports, continuous improvement systems, and enhanced decision support reliability.