3d-modeling-implementation

# 3d Modeling Implementation "Use when applying 3d modeling implementation." ## Trigger Activate this skill when the user mentions: - media, 3d, 3d-modeling-techniques workflows or issues - Building, fixing, or optimizing 3d modeling implementation - Questions about media best practices ## Core Concepts - Model selection and evaluation - Feature engineering and data prep - Training methodology - Deployment and serving patterns - Monitoring and drift detection ## Step-by-Step Workflow 1. **Frame** — Define problem, success metric, baseline - Expected: Clear problem statement 2. **Explore** — EDA, feature analysis - Expected: Understanding of data relationships 3. **Build** — Train models, track experiments - Expected: Logged reproducible experiments 4. **Evaluate** — Test on holdout, check bias - Expected: Evaluation report with confidence 5. **Deploy** — Serve with monitoring - Expected: Production model with drift detection ## Tools & Technologies - Experiment tracking - Model registry - Feature store - Model serving ## Best Practices - Document decisions and rationale (ADRs, design docs, runbooks) - Version everything - code, configs, data, and documentation - Test incrementally; never claim passing without verification - Respect domain-specific regulations and ethical standards - Measure outcomes with meaningful metrics ## Common Pitfalls - **Data leakage** → Overly optimistic metrics → Strict temporal splits - **No monitoring** → Silent degradation → Monitor prediction distribution ## Tags `media, 3d, 3d-modeling-techniques` --- *LoopyLuci/Skills - 2026-09-24*