simulation-calibrator — Claude Code command for simulation calibration
Validate business, technical, behavioral, or strategic simulations, identify bias, and map out ways to improve their accuracy.
npx claude-code-templates@latest --command simulation/simulation-calibratorWhat simulation-calibrator does
simulation-calibrator assesses a chosen simulation type against historical outcomes and real-world benchmarks, then examines error patterns and possible bias in the data, model, or reasoning. Expert assessments are another part of its validation inputs, so the review depends on having those references available.
The command lays out validation loops, including internal consistency checks, expert review, and empirical testing. It also describes ongoing monitoring, adjustments, and an improvement plan with tracked performance. Its available tools are Read, Write, Edit, and WebSearch; the stated output includes accuracy metrics, a bias-correction report, and decision-support guidance.
Call /simulation-calibrator with a simulation type or use --business, --technical, --behavioral, or --strategic. The description distinguishes mission-critical, strategic, and exploratory accuracy targets, so the chosen target should match the purpose of the simulation.
What it helps with
- validate a business simulation against past outcomes
- spot systematic bias in a model or its data
- compare simulation results with real-world benchmarks
- plan and track improvements to simulation accuracy
Example prompts for the agent
- Check a business simulation against historical outcomes:
/simulation-calibrator --business - Look for bias in this technical model:
/simulation-calibrator --technical - Assess this strategic scenario and outline validation steps:
/simulation-calibrator --strategic
How to install simulation-calibrator
1claude-code-templates
npx claude-code-templates@latest --command simulation/simulation-calibrator2Manually: put the files in place
.claude/commands/simulation-calibrator.mdCall it with /simulation-calibrator. For all projects use ~/.claude/commands/
Manually: put the files in place
~/.codex/prompts/simulation-calibrator.mdCall it with /prompts:simulation-calibrator. Codex marks this format deprecated in favour of skills
Manually: put the files in place
.github/prompts/simulation-calibrator.prompt.mdManually: put the files in place
.gemini/commands/simulation-calibrator.tomlGemini stores commands as TOML: the prompt text goes into the prompt field
Questions about simulation-calibrator
How do I install simulation-calibrator in Claude Code?
Run npx claude-code-templates@latest --command simulation/simulation-calibrator. The command is installed at .claude/commands/simulation-calibrator.md.
What does simulation-calibrator do?
It assesses simulation accuracy, looks for bias, and outlines validation and improvement steps. It covers business, technical, behavioral, and strategic simulations.
What inputs does simulation-calibrator use for validation?
It can use historical outcomes, real-world benchmarks, and expert assessments. Pass the simulation type as an argument or choose one of the command's flags.
Source text
simulation-calibrator.md · MIT
--- 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.
© davila7 · MIT · davila7/claude-code-templates
