material-model-library
Biomaterial constitutive model library skill providing validated material properties for biological tissues and implant materials
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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/material-model-library/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How material-model-library Compares
| Feature / Agent | material-model-library | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/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 statedRelated Skills
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