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drug-encapsulation-optimizer

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

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How to use this skill

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Source SKILL.md: https://github.com/a5c-ai/babysitter/blob/HEAD/library/specializations/domains/science/nanotechnology/skills/drug-encapsulation-optimizer/SKILL.md

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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

  1. Loading Optimization

    • Screen loading methods
    • Optimize drug:carrier ratio
    • Maximize encapsulation efficiency

  2. Release Kinetics

    • Characterize release profile
    • Fit to kinetic models
    • Design sustained release

  3. 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"
  }
}