home / skills / a5c-ai / babysitter / scaffold-design-optimizer
This skill helps optimize scaffold pore architecture, porosity, and mechanics to improve tissue regeneration outcomes.
npx playbooks add skill a5c-ai/babysitter --skill scaffold-design-optimizerReview the files below or copy the command above to add this skill to your agents.
---
name: scaffold-design-optimizer
description: Tissue engineering scaffold design optimization skill for pore size, porosity, and mechanical properties
allowed-tools:
- Read
- Write
- Glob
- Grep
- Edit
- Bash
metadata:
specialization: biomedical-engineering
domain: science
category: Tissue Engineering
skill-id: BME-SK-029
---
# Scaffold Design Optimizer Skill
## Purpose
The Scaffold Design Optimizer Skill supports tissue engineering scaffold design, optimizing pore architecture, porosity, and mechanical properties for specific tissue regeneration applications.
## Capabilities
- Pore architecture design (gradient, uniform)
- Porosity calculation and optimization
- Mechanical property prediction
- Degradation rate modeling
- Surface area calculation
- Nutrient transport modeling
- Fabrication parameter recommendations
- Cell seeding optimization
- Vascularization considerations
- Material selection guidance
- CAD model generation
## Usage Guidelines
### When to Use
- Designing tissue engineering scaffolds
- Optimizing scaffold architecture
- Predicting scaffold performance
- Selecting fabrication methods
### Prerequisites
- Target tissue defined
- Mechanical requirements established
- Material options identified
- Fabrication capabilities known
### Best Practices
- Match pore size to target tissue
- Balance porosity with mechanical strength
- Consider degradation timeline
- Validate with cell studies
## Process Integration
This skill integrates with the following processes:
- Scaffold Fabrication and Characterization
- Cell Culture and Tissue Construct Development
- Biomaterial Selection and Characterization
- Design Control Process Implementation
## Dependencies
- CAD software
- Lattice structure generators
- FEA tools
- Tissue engineering literature
- Fabrication equipment specs
## Configuration
```yaml
scaffold-design-optimizer:
architecture-types:
- gyroid
- diamond
- cubic
- gradient
- random
target-tissues:
- bone
- cartilage
- skin
- vascular
- neural
optimization-objectives:
- porosity
- pore-size
- mechanical-strength
- permeability
```
## Output Artifacts
- Scaffold design specifications
- CAD models
- Porosity calculations
- Mechanical property predictions
- Degradation profiles
- Fabrication parameters
- Cell seeding protocols
- Characterization plans
## Quality Criteria
- Design meets tissue requirements
- Porosity appropriate for application
- Mechanical properties adequate
- Degradation rate matched to healing
- Fabrication feasible
- Documentation supports regulatory review
This skill optimizes tissue engineering scaffold designs by tuning pore architecture, porosity, and mechanical properties to meet target tissue requirements. It produces actionable design specifications, CAD models, and fabrication parameters to accelerate scaffold development and validation. The skill is focused on practical outcomes: matching pore size and degradation timelines to biological goals while ensuring manufacturability and regulatory traceability.
The optimizer evaluates candidate lattice architectures (gyroid, diamond, cubic, gradient, random) against user targets for tissue type, mechanical strength, permeability, and degradation. It runs porosity and surface area calculations, predicts mechanical behavior (via simplified FEA workflows), models nutrient transport and degradation, then recommends fabrication settings and cell seeding protocols. Outputs include CAD-ready geometry, porosity reports, mechanical predictions, degradation profiles, and a prioritized list of trade-offs for design decisions.
What inputs are required to run an optimization?
You need to specify target tissue, mechanical targets, candidate materials, and fabrication capabilities; optional inputs include target degradation timeline and seeding strategy.
Can the skill produce manufacturable CAD files?
Yes. It exports CAD-ready lattices and provides fabrication parameter recommendations tailored to common additive manufacturing methods.