feat: Major update with validators, skills, dashboard, and docs reorganization

- Add validation framework (config, model, results, study validators)
- Add Claude Code skills (create-study, run-optimization, generate-report,
  troubleshoot, analyze-model)
- Add Atomizer Dashboard (React frontend + FastAPI backend)
- Reorganize docs into structured directories (00-09)
- Add neural surrogate modules and training infrastructure
- Add multi-objective optimization support

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

environment.yml

@@ -0,0 +1,89 @@
+# Atomizer Conda Environment
+# ===========================
+#
+# Complete environment for Atomizer FEA optimization framework
+# Includes: Core optimization, NX/Nastran integration, Neural surrogates (AtomizerField)
+#
+# Installation:
+#   conda env create -f environment.yml
+#   conda activate atomizer
+#
+# Update existing environment:
+#   conda env update -f environment.yml --prune
+
+name: atomizer
+channels:
+  - pytorch
+  - conda-forge
+  - defaults
+
+dependencies:
+  # Python version (compatible with NX 2412)
+  - python=3.11
+
+  # ============================================================================
+  # Core Scientific Computing
+  # ============================================================================
+  # numpy<2 required for pyNastran compatibility
+  - numpy>=1.24.0,<2.0.0
+  - scipy>=1.10.0
+  - pandas>=2.0.0
+  - scikit-learn>=1.3.0
+
+  # ============================================================================
+  # Optimization Framework
+  # ============================================================================
+  - optuna>=3.5.0
+  - plotly>=5.18.0
+  - matplotlib>=3.5.0
+
+  # ============================================================================
+  # FEA/Nastran Parsing
+  # ============================================================================
+  - h5py>=3.0.0
+  - pip
+
+  # ============================================================================
+  # Web Framework (Dashboard/API)
+  # ============================================================================
+  - fastapi>=0.109.0
+  - uvicorn>=0.27.0
+  - websockets>=12.0
+  - pydantic>=2.5.0
+  - jinja2>=3.1.3
+
+  # ============================================================================
+  # System Utilities
+  # ============================================================================
+  - psutil>=5.9.0
+  - tqdm>=4.65.0
+
+  # ============================================================================
+  # Development Tools
+  # ============================================================================
+  - pytest>=7.4.0
+  - pytest-cov>=4.1.0
+
+  # ============================================================================
+  # pip-only packages (not available in conda)
+  # ============================================================================
+  - pip:
+    # Nastran file parser (numpy<2 constraint is handled above)
+    - pyNastran>=1.4.0,<1.5.0
+
+    # Python-multipart for FastAPI file uploads
+    - python-multipart>=0.0.6
+
+# ============================================================================
+# Post-installation notes:
+# ============================================================================
+#
+# 1. Verify installation:
+#    python -c "import optuna; import pyNastran; print('All imports OK')"
+#
+# 2. For NX integration, ensure NX Python stubs are accessible:
+#    See config.py for NX_PYTHON_STUBS path
+#
+# 3. For AtomizerField neural surrogates, install PyTorch and torch-geometric separately:
+#    conda install pytorch pytorch-cuda=12.1 -c pytorch -c nvidia
+#    pip install torch-geometric tensorboard