ReddRadar
Agent skill
crystallizer-designer
Crystallization process design skill for nucleation control, crystal size distribution, and equipment selection
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/crystallizer-designer
Metadata
Additional technical details for this skill
- domain
- science
- category
- Separation Processes
- skill id
- CE-SK-012
- specialization
- chemical-engineering
SKILL.md
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
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
Recommended Agent Skills
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).
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.
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.
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.
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.
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.
Didn't find tool you were looking for?