mirror of
https://github.com/davila7/claude-code-templates.git
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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>
36 lines
2.0 KiB
Markdown
36 lines
2.0 KiB
Markdown
---
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allowed-tools: Read, Write, Edit, WebSearch
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argument-hint: [simulation-type] | --business | --technical | --behavioral | --strategic
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description: Calibrate simulation accuracy with systematic validation, bias detection, and continuous improvement
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---
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# Simulation Calibrator
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Calibrate simulation accuracy with comprehensive validation and continuous improvement: **$ARGUMENTS**
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## Current Simulation State
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- Simulation type: Based on $ARGUMENTS (business, technical, behavioral, strategic simulation)
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- Accuracy requirements: Mission-critical (95%+), strategic (80-95%), or exploratory (50-70%)
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- Validation data: Historical outcomes, real-world benchmarks, and expert assessments
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- Performance metrics: Current accuracy levels and improvement opportunities
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## Task
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Implement systematic simulation calibration with comprehensive accuracy improvement:
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**Simulation Type**: Use $ARGUMENTS to calibrate business simulations, technical models, behavioral predictions, or strategic scenarios
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**Calibration Framework**:
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1. **Baseline Assessment** - Historical validation, accuracy metrics, and error pattern analysis
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2. **Bias Detection** - Systematic identification of cognitive, data, and model biases with mitigation strategies
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3. **Validation Loops** - Multi-level validation with internal consistency, expert review, and empirical testing
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4. **Real-Time Calibration** - Continuous monitoring, automated adjustments, and adaptive learning integration
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5. **Quality Assurance** - Meta-calibration assessment and improvement sustainability
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6. **Improvement Roadmap** - Systematic enhancement strategies with performance tracking
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**Advanced Features**: Automated bias detection, machine learning calibration, cross-simulation learning, and predictive accuracy optimization.
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**Quality Control**: Independent validation, benchmark comparison, and comprehensive documentation for institutional learning.
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**Output**: Calibrated simulation with validated accuracy metrics, bias correction reports, continuous improvement systems, and enhanced decision support reliability. |