Agent skill
scale-up-process-analyzer
Process engineering skill for analyzing and optimizing nanomaterial synthesis scale-up from lab to production
Install this agent skill to your Project
npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/nanotechnology/skills/scale-up-process-analyzer
Metadata
Additional technical details for this skill
- phase
- 6
- domain
- science
- category
- synthesis-materials
- priority
- high
- specialization
- nanotechnology
- tools libraries
-
[ "Process simulation tools", "Reactor design calculators", "Microfluidics design tools" ]
SKILL.md
Scale-Up Process Analyzer
Purpose
The Scale-Up Process Analyzer skill provides systematic analysis of nanomaterial synthesis scale-up challenges, enabling successful transition from laboratory to production scale while maintaining product quality and reproducibility.
Capabilities
- Heat and mass transfer scaling
- Reactor design recommendations
- Mixing efficiency analysis
- Continuous flow process design
- Batch consistency validation
- Cost-at-scale estimation
Usage Guidelines
Scale-Up Analysis
-
Heat Transfer Scaling
- Calculate surface-to-volume ratio changes
- Assess temperature uniformity
- Design heat exchange systems
-
Mixing Considerations
- Evaluate Reynolds number scaling
- Assess mixing time vs reaction time
- Consider impeller design changes
-
Continuous Flow Options
- Evaluate microfluidic reactors
- Design flow chemistry approaches
- Assess residence time distributions
Process Integration
- Nanomaterial Scale-Up and Process Transfer
- Nanoparticle Synthesis Protocol Development
Input Schema
{
"lab_scale": {
"volume": "number (mL)",
"batch_time": "number (min)",
"temperature": "number (C)",
"mixing_speed": "number (rpm)"
},
"target_scale": {
"volume": "number (L)",
"production_rate": "number (kg/day)"
},
"product_specs": {
"size": "number (nm)",
"size_tolerance": "number (%)"
}
}
Output Schema
{
"scale_up_approach": "batch|continuous|hybrid",
"reactor_recommendations": {
"type": "string",
"volume": "number",
"configuration": "string"
},
"critical_parameters": [{
"parameter": "string",
"lab_value": "number",
"scaled_value": "number",
"scaling_rule": "string"
}],
"estimated_cost": "number ($/kg)",
"risk_factors": ["string"]
}
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