a5c-ai/dsa-process-controller
library/specializations/domains/science/nanotechnology/skills/dsa-process-controller/SKILL.md
Directed Self-Assembly skill for block copolymer lithography and nanoparticle templating
$ install --global
skillsauthnpx skillsauth add a5c-ai/babysitter dsa-process-controllerInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 2, 2026, 7:35 AM56.1s1 file scanned
SKILL.md
- name:
- dsa-process-controller
- description:
- Directed Self-Assembly skill for block copolymer lithography and nanoparticle templating
- specialization:
- nanotechnology
- domain:
- science
- category:
- fabrication
- priority:
- medium
- phase:
- 6
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
-
BCP Selection
- Match pitch to target
- Consider chi-N product
- Select morphology (lamellar, cylindrical)
-
Annealing Optimization
- Choose thermal vs solvent vapor
- Optimize temperature/time
- Achieve equilibrium morphology
-
Defect Analysis
- Classify defect types
- Quantify defect density
- Identify root causes
Process Integration
- Directed Self-Assembly Process Development
- Nanolithography Process Development
Input Schema
{
"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
{
"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"
}
Related Skills
a5c-ai/model-card-generator
development
VerifiedTrustedCommunity
Model documentation skill for generating model cards following Google's model card framework.
680SKILL.mdUpdated Apr 28, 2026
a5c-ai/mlflow-experiment-tracker
development
VerifiedTrustedCommunity
MLflow integration skill for experiment tracking, model registry, and artifact management. Enables LLMs to log experiments, compare runs, manage model lifecycle, and retrieve artifacts through the MLflow API.
680SKILL.mdUpdated Apr 28, 2026
a5c-ai/lime-explainer
data-ai
VerifiedTrustedCommunity
LIME-based local explanation skill for individual predictions across tabular, text, and image data.
680SKILL.mdUpdated Apr 28, 2026
a5c-ai/kubeflow-pipeline-executor
devops
VerifiedTrustedCommunity
Kubeflow Pipelines skill for ML workflow orchestration, component management, and Kubernetes-native ML.
680SKILL.mdUpdated Apr 28, 2026