Babysitter drug-encapsulation-optimizer

Drug delivery formulation skill for optimizing drug loading, encapsulation efficiency, and release kinetics

install

source · Clone the upstream repo

git clone https://github.com/a5c-ai/babysitter

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/science/nanotechnology/skills/drug-encapsulation-optimizer" ~/.claude/skills/a5c-ai-babysitter-drug-encapsulation-optimizer && rm -rf "$T"

manifest: library/specializations/domains/science/nanotechnology/skills/drug-encapsulation-optimizer/SKILL.md

Drug Encapsulation Optimizer

Purpose

The Drug Encapsulation Optimizer skill provides systematic optimization of nanoparticle drug delivery formulations, enabling maximized drug loading, controlled release kinetics, and formulation stability.

Capabilities

Drug loading optimization
Encapsulation efficiency calculation
Release kinetics modeling (zero-order, Higuchi, Korsmeyer-Peppas)
Stability testing protocols
Size optimization for target application
Payload-to-carrier ratio optimization

Usage Guidelines

Formulation Optimization

Loading Optimization
- Screen loading methods
- Optimize drug:carrier ratio
- Maximize encapsulation efficiency
Release Kinetics
- Characterize release profile
- Fit to kinetic models
- Design sustained release
Stability Assessment
- Monitor size over time
- Track drug leakage
- Accelerated stability testing

Process Integration

Nanoparticle Drug Delivery System Development
Nanomaterial Safety Assessment Pipeline

Input Schema

{
  "drug": "string",
  "carrier_type": "liposome|polymer|micelle|lipid_np",
  "target_loading": "number (wt%)",
  "release_target": "immediate|sustained|triggered",
  "route": "iv|oral|topical|inhalation"
}

Output Schema

{
  "optimized_formulation": {
    "drug_loading": "number (wt%)",
    "encapsulation_efficiency": "number (%)",
    "particle_size": "number (nm)",
    "pdi": "number"
  },
  "release_kinetics": {
    "model": "string",
    "parameters": {},
    "t50": "number (hours)",
    "t90": "number (hours)"
  },
  "stability": {
    "shelf_life": "number (months)",
    "storage_conditions": "string"
  }
}