Separation Sequence Synthesizer Skill
SkillDev toolsSeparation train synthesis skill for optimal sequencing and technology selection
Use Separation Sequence Synthesizer Skill in Claude, ChatGPT or Ahel Desktop
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Then ask your AI: use the Separation Sequence Synthesizer Skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/chemical-engineering/skills/separation-sequence-synthesizer/SKILL.md and read by Ahel’s review.
Purpose
The Separation Sequence Synthesizer Skill develops optimal separation sequences by evaluating technology alternatives and sequencing options for multi-component mixtures.
Capabilities
- Separation feasibility analysis
- Sequencing heuristics application
- Technology screening (distillation, extraction, membrane)
- Heat integration opportunities
- Hybrid separation systems
- Economic evaluation
- Energy optimization
- Azeotrope breaking strategies
Usage Guidelines
When to Use
- Designing new separation trains
- Optimizing existing sequences
- Evaluating technology alternatives
- Integrating hybrid systems
Prerequisites
- Mixture characterization complete
- Product specifications defined
- Property data available
- Economic criteria established
Best Practices
- Screen technologies systematically
- Consider heat integration early
- Evaluate hybrid options
- Validate with simulation
Process Integration
This skill integrates with:
- Separation Sequence Synthesis
- Process Flow Diagram Development
- Heat Integration Analysis
Configuration
separation-sequence-synthesizer:
technologies:
- distillation
- extraction
- membrane
- adsorption
- crystallization
optimization-objectives:
- energy
- capital
- total-cost
Output Artifacts
- Sequence recommendations
- Technology comparisons
- Heat integration analysis
- Economic evaluations
- Process flow diagrams
Signals
- GitHub stars
- 2k
- Forks
- 113
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
separation-sequence-synthesizer- Source
- github.com/a5c-ai/babysitter
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