Babysitter scale-up-analyzer
Process scale-up analysis skill for dimensional analysis, similarity criteria, and pilot-to-production transitions
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 "$T/library/specializations/domains/science/chemical-engineering/skills/scale-up-analyzer" ~/.claude/skills/a5c-ai-babysitter-scale-up-analyzer && rm -rf "$T"
manifest:
library/specializations/domains/science/chemical-engineering/skills/scale-up-analyzer/SKILL.mdtags
source content
Scale-Up Analyzer Skill
Purpose
The Scale-Up Analyzer Skill supports process scale-up from laboratory to pilot to production scale using dimensional analysis, similarity criteria, and scale-up correlations.
Capabilities
- Dimensional analysis
- Similarity criteria evaluation
- Scale-up factor calculation
- Heat transfer scale-up
- Mass transfer scale-up
- Mixing scale-up (power per volume, tip speed)
- Reaction scale-up considerations
- Risk assessment for scale-up
Usage Guidelines
When to Use
- Scaling from lab to pilot
- Scaling from pilot to production
- Evaluating scale-up feasibility
- Identifying scale-sensitive parameters
Prerequisites
- Lab/pilot data available
- Process fundamentals understood
- Critical parameters identified
- Target scale defined
Best Practices
- Identify controlling mechanisms
- Maintain appropriate similarity criteria
- Plan incremental scale-up steps
- Validate at each scale
Process Integration
This skill integrates with:
- Scale-Up Analysis
- Process Simulation Model Development
- Performance Testing and Validation
Configuration
scale-up-analyzer: scale-up-methods: - geometric-similarity - dynamic-similarity - thermal-similarity scale-factors: - 10x - 100x - 1000x
Output Artifacts
- Scale-up calculations
- Similarity analysis
- Risk assessments
- Scale-up recommendations
- Parameter predictions