Directed Self-Assembly skill for block copolymer lithography and nanoparticle templating
Scanned 9/2/2026
Install to Claude Code
npx -y skills add a5c-ai/babysitter --skill dsa-process-controller --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: dsa-process-controller
description: Directed Self-Assembly skill for block copolymer lithography and nanoparticle templating
allowed-tools:
- Read
- Write
- Glob
- Grep
- Bash
metadata:
specialization: nanotechnology
domain: science
category: fabrication
priority: medium
phase: 6
tools-libraries:
- BCP simulation tools
- SCFT (Self-Consistent Field Theory)
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]
---
# DSA Process Controller
## Purpose
The DSA Process Controller skill provides directed self-assembly process control for block copolymer lithography and nanoparticle templating, enabling sub-lithographic patterning through controlled polymer phase separation.
## Capabilities
- Block copolymer selection and design
- Annealing protocol optimization
- Defect density analysis
- Pattern transfer protocols
- Graphoepitaxy and chemoepitaxy
- Long-range order characterization
## Usage Guidelines
### DSA Process Control
1. **BCP Selection**
- Match pitch to target
- Consider chi-N product
- Select morphology (lamellar, cylindrical)
2. **Annealing Optimization**
- Choose thermal vs solvent vapor
- Optimize temperature/time
- Achieve equilibrium morphology
3. **Defect Analysis**
- Classify defect types
- Quantify defect density
- Identify root causes
## Process Integration
- Directed Self-Assembly Process Development
- Nanolithography Process Development
## Input Schema
```json
{
"bcp_system": "string (e.g., PS-b-PMMA)",
"target_pitch": "number (nm)",
"morphology": "lamellar|cylindrical|spherical",
"guiding_type": "graphoepitaxy|chemoepitaxy",
"substrate_pattern": "string"
}
```
## Output Schema
```json
{
"annealing_protocol": {
"method": "thermal|svA",
"temperature": "number (C)",
"time": "number (hours)",
"solvent": "string (optional)"
},
"achieved_pitch": "number (nm)",
"defect_density": "number (defects/um2)",
"correlation_length": "number (nm)",
"pattern_quality": "string"
}
```
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