material-model-library

Biomaterial constitutive model library skill providing validated material properties for biological tissues and implant materials

509 stars

Best use case

material-model-library is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Biomaterial constitutive model library skill providing validated material properties for biological tissues and implant materials

Teams using material-model-library 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/material-model-library/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/science/biomedical-engineering/skills/material-model-library/SKILL.md"

Manual Installation

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

How material-model-library Compares

Feature / Agentmaterial-model-libraryStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Biomaterial constitutive model library skill providing validated material properties for biological tissues and implant materials

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

# Material Model Library Skill

## Purpose

The Material Model Library Skill provides validated constitutive models and material properties for biological tissues and implant materials, supporting accurate biomechanical simulations and device design.

## Capabilities

- Tissue material property database (bone, cartilage, soft tissue)
- Hyperelastic model parameter sets (Mooney-Rivlin, Ogden)
- Viscoelastic and poroelastic models
- Implant material database (Ti-6Al-4V, CoCrMo, PEEK)
- Degradation model parameters
- Temperature and rate-dependent properties
- Anisotropic material definitions
- Age and disease-state variations
- Material property uncertainty quantification
- Literature reference compilation
- Custom material fitting tools

## Usage Guidelines

### When to Use
- Assigning material properties for FEA
- Selecting materials for device design
- Validating simulation models
- Conducting parametric studies

### Prerequisites
- Analysis type defined
- Loading conditions characterized
- Relevant tissue/material types identified
- Accuracy requirements established

### Best Practices
- Verify material sources and validation status
- Consider patient-specific variations
- Account for rate-dependency when relevant
- Document material model assumptions

## Process Integration

This skill integrates with the following processes:
- Finite Element Analysis for Medical Devices
- Biomaterial Selection and Characterization
- Orthopedic Implant Biomechanical Testing
- Scaffold Fabrication and Characterization

## Dependencies

- Material property databases
- Literature compilations
- Experimental characterization data
- FEA software material libraries
- Material testing standards

## Configuration

```yaml
material-model-library:
  tissue-types:
    - cortical-bone
    - cancellous-bone
    - cartilage
    - tendon
    - ligament
    - muscle
    - skin
    - vascular
  implant-materials:
    - Ti-6Al-4V
    - CoCrMo
    - PEEK
    - UHMWPE
    - stainless-steel
  model-types:
    - linear-elastic
    - hyperelastic
    - viscoelastic
    - poroelastic
```

## Output Artifacts

- Material property datasets
- Constitutive model parameters
- Material cards for FEA software
- Property validation reports
- Literature reference lists
- Uncertainty quantification data
- Material selection recommendations
- Model fitting results

## Quality Criteria

- Material properties from validated sources
- Model parameters appropriate for loading conditions
- Uncertainty properly characterized
- References properly documented
- Models validated against experimental data
- Assumptions clearly stated

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