crystallizer-designer

Crystallization process design skill for nucleation control, crystal size distribution, and equipment selection

509 stars

Best use case

crystallizer-designer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Crystallization process design skill for nucleation control, crystal size distribution, and equipment selection

Teams using crystallizer-designer should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

You only need a quick one-off answer and do not need a reusable workflow.
You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/crystallizer-designer/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/science/chemical-engineering/skills/crystallizer-designer/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/crystallizer-designer/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How crystallizer-designer Compares

Feature / Agent	crystallizer-designer	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

Crystallization process design skill for nucleation control, crystal size distribution, and equipment selection

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Crystallizer Designer Skill

## Purpose

The Crystallizer Designer Skill designs crystallization processes including equipment selection, operating conditions optimization, and crystal size distribution control.

## Capabilities

- Solubility data analysis
- Supersaturation control strategies
- Nucleation and growth kinetics
- Crystal size distribution (CSD) modeling
- Equipment selection (cooling, evaporative, reactive)
- Seeding strategies
- Polymorphism control
- Scale-up considerations

## Usage Guidelines

### When to Use
- Designing crystallization processes
- Optimizing crystal quality
- Controlling polymorphic forms
- Scale-up crystallization operations

### Prerequisites
- Solubility data available
- Product specifications defined
- Kinetic data available
- Polymorphism understood

### Best Practices
- Characterize metastable zone
- Control supersaturation carefully
- Use seeding for reproducibility
- Monitor CSD online

## Process Integration

This skill integrates with:
- Crystallization Process Design
- Separation Sequence Synthesis
- Process Flow Diagram Development

## Configuration

```yaml
crystallizer-designer:
  crystallizer-types:
    - cooling
    - evaporative
    - reactive
    - antisolvent
    - melt
  control-strategies:
    - temperature
    - concentration
    - seeding
```

## Output Artifacts

- Crystallizer specifications
- Operating protocols
- CSD predictions
- Seeding strategies
- Scale-up recommendations