nanoimprint-process-controller

Nanoimprint Lithography skill for high-throughput nanopatterning with template management and demolding optimization

509 stars

Best use case

nanoimprint-process-controller is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Nanoimprint Lithography skill for high-throughput nanopatterning with template management and demolding optimization

Teams using nanoimprint-process-controller should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/nanoimprint-process-controller/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/science/nanotechnology/skills/nanoimprint-process-controller/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/nanoimprint-process-controller/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How nanoimprint-process-controller Compares

Feature / Agentnanoimprint-process-controllerStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Nanoimprint Lithography skill for high-throughput nanopatterning with template management and demolding optimization

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# 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 (%)"
}
```

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