mirror of
https://github.com/davila7/claude-code-templates.git
synced 2026-09-19 01:30:23 +08:00
daniel
41cbbea00c
- Split components.json: índice sin content (1.9 MB / 249 KB br vs 15.6 MB / 4.15 MB br).
Generador produce component-content/{type}/{slug}.json por componente y auto-copia
a dashboard/public/. Página de detalle carga contenido on-demand via fetchComponentContent().
- Restaurar cabeceras de caché y seguridad perdidas en la migración Vercel→Cloudflare:
_headers con Cache-Control max-age=86400 para JSONs, immutable para _astro/*,
y HSTS, X-Frame-Options, Referrer-Policy, Permissions-Policy en todas las rutas.
- Eliminar dashboard/vercel.json (config muerta desde migración a Cloudflare Pages).
- Diferir hidratación: ClerkIsland y AuthButton client:load → client:idle;
SaveToCollectionButton → client:visible.
- Eliminar gpt-tokenizer del bundle del navegador: reemplazado por estimación chars/4.
- Actualizar .claude/rules/dashboard.md para reflejar hosting en Cloudflare Pages.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
1 line
2.1 KiB
JSON
1 line
2.1 KiB
JSON
{"content": "---\nallowed-tools: Read, Write, Edit, WebSearch\nargument-hint: [simulation-type] | --business | --technical | --behavioral | --strategic\ndescription: Calibrate simulation accuracy with systematic validation, bias detection, and continuous improvement\n---\n\n# Simulation Calibrator\n\nCalibrate simulation accuracy with comprehensive validation and continuous improvement: **$ARGUMENTS**\n\n## Current Simulation State\n\n- Simulation type: Based on $ARGUMENTS (business, technical, behavioral, strategic simulation)\n- Accuracy requirements: Mission-critical (95%+), strategic (80-95%), or exploratory (50-70%)\n- Validation data: Historical outcomes, real-world benchmarks, and expert assessments\n- Performance metrics: Current accuracy levels and improvement opportunities\n\n## Task\n\nImplement systematic simulation calibration with comprehensive accuracy improvement:\n\n**Simulation Type**: Use $ARGUMENTS to calibrate business simulations, technical models, behavioral predictions, or strategic scenarios\n\n**Calibration Framework**:\n1. **Baseline Assessment** - Historical validation, accuracy metrics, and error pattern analysis\n2. **Bias Detection** - Systematic identification of cognitive, data, and model biases with mitigation strategies\n3. **Validation Loops** - Multi-level validation with internal consistency, expert review, and empirical testing\n4. **Real-Time Calibration** - Continuous monitoring, automated adjustments, and adaptive learning integration\n5. **Quality Assurance** - Meta-calibration assessment and improvement sustainability\n6. **Improvement Roadmap** - Systematic enhancement strategies with performance tracking\n\n**Advanced Features**: Automated bias detection, machine learning calibration, cross-simulation learning, and predictive accuracy optimization.\n\n**Quality Control**: Independent validation, benchmark comparison, and comprehensive documentation for institutional learning.\n\n**Output**: Calibrated simulation with validated accuracy metrics, bias correction reports, continuous improvement systems, and enhanced decision support reliability."} |