Babysitter scale-up-process-analyzer
Process engineering skill for analyzing and optimizing nanomaterial synthesis scale-up from lab to production
install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/science/nanotechnology/skills/scale-up-process-analyzer" ~/.claude/skills/a5c-ai-babysitter-scale-up-process-analyzer && rm -rf "$T"
manifest:
library/specializations/domains/science/nanotechnology/skills/scale-up-process-analyzer/SKILL.mdsource content
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"] }