separation-sequence-synthesizer
Separation train synthesis skill for optimal sequencing and technology selection
Profile →npx skills add a5c-ai/babysitter --skill separation-sequence-synthesizer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Separation Sequence Synthesizer Skill ## 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 ```yaml separation-sequence-synthesizer: technologies: - distillation - extr
- Purpose
- Capabilities
- Usage Guidelines
- When to Use
- Prerequisites
- Best Practices
- Process Integration
- Configuration
- Output Artifacts
What does the separation-sequence-synthesizer skill do?
Separation train synthesis skill for optimal sequencing and technology selection
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill separation-sequence-synthesizer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.