Nanoimprint Lithography skill for high-throughput nanopatterning with template management and demolding optimization
Scanned 9/2/2026
Install to Claude Code
npx -y skills add a5c-ai/babysitter --skill nanoimprint-process-controller --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Nanoimprint Process Controller?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/a5c-ai-nanoimprint-process-controller-babysitter)More formats (shields.io, HTML) on the badges page.
---
name: nanoimprint-process-controller
description: Nanoimprint Lithography skill for high-throughput nanopatterning with template management and demolding optimization
allowed-tools:
- Read
- Write
- Glob
- Grep
- Bash
metadata:
specialization: nanotechnology
domain: science
category: fabrication
priority: medium
phase: 6
tools-libraries:
- NIL process simulation
- Template design tools
graph:
domains: [domain:nanotechnology]
skillAreas: [skill-area:mathematical-reasoning, skill-area:physics-simulation, skill-area:data-analysis]
workflows: [workflow:experiment-design]
roles: [role:research-engineer]
---
# Nanoimprint Process Controller
## Purpose
The Nanoimprint Process Controller skill provides comprehensive nanoimprint lithography process control, enabling high-throughput nanopatterning through template design, imprint optimization, and defect management.
## Capabilities
- Template design and fabrication
- Imprint pressure and temperature optimization
- UV-NIL and thermal NIL protocols
- Demolding force analysis
- Residual layer control
- Defect inspection and yield analysis
## Usage Guidelines
### NIL Process Control
1. **Template Preparation**
- Design with demolding in mind
- Apply anti-sticking treatment
- Verify pattern fidelity
2. **Imprint Optimization**
- Optimize pressure and temperature
- Control residual layer thickness
- Minimize defects
3. **Yield Improvement**
- Track defect types
- Optimize demolding conditions
- Implement cleaning protocols
## Process Integration
- Nanolithography Process Development
- Directed Self-Assembly Process Development
## Input Schema
```json
{
"template_id": "string",
"resist_type": "thermal|uv_curable",
"target_features": {
"min_cd": "number (nm)",
"pitch": "number (nm)",
"aspect_ratio": "number"
},
"substrate": "string"
}
```
## Output Schema
```json
{
"process_parameters": {
"temperature": "number (C)",
"pressure": "number (bar)",
"time": "number (s)",
"uv_dose": "number (mJ/cm2)"
},
"residual_layer": "number (nm)",
"demolding_force": "number (N)",
"defect_density": "number (defects/cm2)",
"yield": "number (%)"
}
```
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!