Neural Acceleration (MLP Surrogate): - Add run_nn_optimization.py with hybrid FEA/NN workflow - MLP architecture: 4-layer (64->128->128->64) with BatchNorm/Dropout - Three workflow modes: - --all: Sequential export->train->optimize->validate - --hybrid-loop: Iterative Train->NN->Validate->Retrain cycle - --turbo: Aggressive single-best validation (RECOMMENDED) - Turbo mode: 5000 NN trials + 50 FEA validations in ~12 minutes - Separate nn_study.db to avoid overloading dashboard Performance Results (bracket_pareto_3obj study): - NN prediction errors: mass 1-5%, stress 1-4%, stiffness 5-15% - Found minimum mass designs at boundary (angle~30deg, thick~30mm) - 100x speedup vs pure FEA exploration Protocol Operating System: - Add .claude/skills/ with Bootstrap, Cheatsheet, Context Loader - Add docs/protocols/ with operations (OP_01-06) and system (SYS_10-14) - Update SYS_14_NEURAL_ACCELERATION.md with MLP Turbo Mode docs NX Automation: - Add optimization_engine/hooks/ for NX CAD/CAE automation - Add study_wizard.py for guided study creation - Fix FEM mesh update: load idealized part before UpdateFemodel() New Study: - bracket_pareto_3obj: 3-objective Pareto (mass, stress, stiffness) - 167 FEA trials + 5000 NN trials completed - Demonstrates full hybrid workflow 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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EXT_04: Create New Skill
Overview
This protocol guides you through creating new skills or skill modules for the LLM instruction system. Skills provide task-specific guidance to Claude sessions.
Privilege Required: admin
When to Use
| Trigger | Action |
|---|---|
| Need new LLM capability | Follow this protocol |
| "create skill", "new skill" | Follow this protocol |
| Task pattern needs documentation | Follow this protocol |
Skill Types
| Type | Location | Purpose | Example |
|---|---|---|---|
| Bootstrap | .claude/skills/0X_*.md |
LLM orientation | 00_BOOTSTRAP.md |
| Core | .claude/skills/core/ |
Always-load skills | study-creation-core.md |
| Module | .claude/skills/modules/ |
Optional, load-on-demand | extractors-catalog.md |
| Dev | .claude/skills/DEV_*.md |
Developer workflows | DEV_DOCUMENTATION.md |
Step-by-Step Guide
Step 1: Determine Skill Type
Bootstrap (0X_): System-level LLM guidance
- Task classification
- Context loading rules
- Execution patterns
Core: Essential task skills that are always loaded
- Study creation
- Run optimization (basic)
Module: Specialized skills loaded on demand
- Specific extractors
- Domain-specific (Zernike, neural)
- Advanced features
Dev (DEV_): Developer-facing workflows
- Documentation maintenance
- Testing procedures
- Contribution guides
Step 2: Create Skill File
For Core/Module Skills
# {Skill Name}
**Version**: 1.0
**Purpose**: {One-line description}
---
## Overview
{What this skill enables Claude to do}
---
## When to Load
This skill should be loaded when:
- {Condition 1}
- {Condition 2}
---
## Quick Reference
{Tables with key patterns, commands}
---
## Detailed Instructions
### Pattern 1: {Name}
{Step-by-step instructions}
**Example**:
\`\`\`python
{code example}
\`\`\`
### Pattern 2: {Name}
{Step-by-step instructions}
---
## Code Templates
### Template 1: {Name}
\`\`\`python
{copy-paste ready code}
\`\`\`
---
## Validation
Before completing:
- [ ] {Check 1}
- [ ] {Check 2}
---
## Related
- **Protocol**: [{related}]({path})
- **Module**: [{related}]({path})
Step 3: Register Skill
For Bootstrap Skills
Add to 00_BOOTSTRAP.md task classification tree.
For Core Skills
Add to 02_CONTEXT_LOADER.md:
{TASK_TYPE}:
always_load:
- core/{skill_name}.md
For Modules
Add to 02_CONTEXT_LOADER.md:
{TASK_TYPE}:
load_if:
- modules/{skill_name}.md: "{condition}"
Step 4: Update Navigation
Add to 01_CHEATSHEET.md if relevant to common tasks.
Step 5: Test
Test with fresh Claude session:
- Start new conversation
- Describe task that should trigger skill
- Verify correct skill is loaded
- Verify skill instructions are followed
Skill Design Guidelines
Structure
- Front-load: Most important info first
- Tables: Use for structured data
- Code blocks: Complete, copy-paste ready
- Checklists: For validation steps
Content
- Task-focused: What should Claude DO?
- Prescriptive: Clear instructions, not options
- Examples: Show expected patterns
- Validation: How to verify success
Length Guidelines
| Skill Type | Target Lines | Rationale |
|---|---|---|
| Bootstrap | 100-200 | Quick orientation |
| Core | 500-1000 | Comprehensive task guide |
| Module | 150-400 | Focused specialization |
Avoid
- Duplicating protocol content (reference instead)
- Vague instructions ("consider" → "do")
- Missing examples
- Untested code
Module vs Protocol
Skills teach Claude HOW to interact:
- Conversation patterns
- Code templates
- Validation steps
- User interaction
Protocols document WHAT exists:
- Technical specifications
- Configuration options
- Architecture details
- Troubleshooting
Skills REFERENCE protocols, don't duplicate them.
Examples
Example: Domain-Specific Module
modules/thermal-optimization.md:
# Thermal Optimization Module
**Version**: 1.0
**Purpose**: Specialized guidance for thermal FEA optimization
---
## When to Load
Load when:
- "thermal", "temperature", "heat" in user request
- Optimizing for thermal properties
---
## Quick Reference
| Physics | Extractor | Unit |
|---------|-----------|------|
| Max temp | E11 | K |
| Gradient | E12 | K/mm |
| Heat flux | E13 | W/m² |
---
## Objective Patterns
### Minimize Max Temperature
\`\`\`python
from optimization_engine.extractors import extract_temperature
def objective(trial):
# ... run simulation ...
temp_result = extract_temperature(op2_file)
return temp_result['max_temperature']
\`\`\`
### Minimize Thermal Gradient
\`\`\`python
from optimization_engine.extractors import extract_thermal_gradient
def objective(trial):
# ... run simulation ...
grad_result = extract_thermal_gradient(op2_file)
return grad_result['max_gradient']
\`\`\`
---
## Configuration Example
\`\`\`json
{
"objectives": [
{
"name": "max_temperature",
"type": "minimize",
"unit": "K",
"description": "Maximum temperature in component"
}
]
}
\`\`\`
---
## Related
- **Extractors**: E11, E12, E13 in SYS_12
- **Protocol**: See OP_01 for study creation
Troubleshooting
| Issue | Cause | Solution |
|---|---|---|
| Skill not loaded | Not in context loader | Add loading rule |
| Wrong skill loaded | Ambiguous triggers | Refine conditions |
| Instructions not followed | Too vague | Make prescriptive |
Cross-References
- Context Loader:
.claude/skills/02_CONTEXT_LOADER.md - Bootstrap:
.claude/skills/00_BOOTSTRAP.md - Related: EXT_03_CREATE_PROTOCOL
Version History
| Version | Date | Changes |
|---|---|---|
| 1.0 | 2025-12-05 | Initial release |