Agent skill

scale-up-analyzer

Process scale-up analysis skill for dimensional analysis, similarity criteria, and pilot-to-production transitions

Stars 514
Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/chemical-engineering/skills/scale-up-analyzer

Metadata

Additional technical details for this skill

domain
science
category
Process Development
skill id
CE-SK-009
specialization
chemical-engineering

SKILL.md

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

yaml
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

Expand your agent's capabilities with these related and highly-rated skills.

a5c-ai/babysitter

gsd-tools

Central utility skill for GSD operations. Provides config parsing, slug generation, timestamps, path operations, and orchestrates calls to other specialized skills. Acts as the unified entry point that the original gsd-tools.cjs provided via its lib/ modules (commands, config, core, init).

514 31
Explore
a5c-ai/babysitter

model-profile-resolution

Resolve model profile (quality/balanced/budget) at orchestration start and map agents to specific models. Enables cost/quality tradeoffs by selecting appropriate AI models for each agent role.

514 31
Explore
a5c-ai/babysitter

verification-suite

Plan structure validation, phase completeness checks, reference integrity verification, and artifact existence confirmation. Provides the structured verification layer ensuring GSD artifacts are well-formed and complete.

514 31
Explore
a5c-ai/babysitter

state-management

STATE.md reading, writing, and field-level updates. Provides cross-session state persistence via .planning/STATE.md with structured fields for current task, completed phases, blockers, decisions, and quick tasks.

514 31
Explore
a5c-ai/babysitter

git-integration

Git commit patterns, formats, and conventions for GSD methodology. Provides atomic commits per task, structured commit messages, planning file commits, branch management, and milestone tag operations.

514 31
Explore
a5c-ai/babysitter

frontmatter-parsing

YAML frontmatter parsing and manipulation for .planning/ documents. Provides read, write, update, query, and validation operations on frontmatter blocks in GSD markdown artifacts.

514 31
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results