feat: Improve dashboard performance and Claude terminal context
- Add trial limiting (300 max) and reduce polling to 15s for large studies - Make dashboard layout wider with col-span adjustments - Claude terminal now runs from Atomizer root for CLAUDE.md/skills access - Add study context display in terminal on connect - Add KaTeX math rendering styles for study reports - Add surrogate tuner module for hyperparameter optimization - Fix backend proxy to port 8001 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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# Create Optimization Study Skill
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**Last Updated**: November 26, 2025
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**Version**: 2.0 - Protocol Reference + Code Patterns (Centralized)
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**Last Updated**: December 4, 2025
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**Version**: 2.1 - Added Mandatory Documentation Requirements
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You are helping the user create a complete Atomizer optimization study from a natural language description.
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---
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## MANDATORY DOCUMENTATION CHECKLIST
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**EVERY study MUST have these files. A study is NOT complete without them:**
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| File | Purpose | When Created |
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|------|---------|--------------|
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| `README.md` | **Engineering Blueprint** - Full mathematical formulation, design variables, objectives, algorithm config | At study creation |
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| `STUDY_REPORT.md` | **Results Tracking** - Progress, best designs, surrogate accuracy, recommendations | At study creation (template) |
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**README.md Requirements (11 sections)**:
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1. Engineering Problem (objective, physical system)
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2. Mathematical Formulation (objectives, design variables, constraints with LaTeX)
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3. Optimization Algorithm (config, properties, return format)
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4. Simulation Pipeline (trial execution flow diagram)
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5. Result Extraction Methods (extractor details, code snippets)
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6. Neural Acceleration (surrogate config, expected performance)
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7. Study File Structure (directory tree)
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8. Results Location (output files)
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9. Quick Start (commands)
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10. Configuration Reference (config.json mapping)
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11. References
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**STUDY_REPORT.md Requirements**:
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- Executive Summary (trial counts, best values)
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- Optimization Progress (iteration history, convergence)
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- Best Designs Found (FEA-validated)
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- Neural Surrogate Performance (R², MAE)
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- Engineering Recommendations
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**FAILURE MODE**: If you create a study without README.md and STUDY_REPORT.md, the user cannot understand what the study does, the dashboard cannot display documentation, and the study is incomplete.
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---
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## Protocol Reference (MUST USE)
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This section defines ALL available components. When generating `run_optimization.py`, use ONLY these documented patterns.
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