distillation-designer
Distillation column design skill for tray/packing selection, hydraulic analysis, and column optimization
npx skills add a5c-ai/babysitter --skill distillation-designer --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.
# Distillation Designer Skill ## Purpose The Distillation Designer Skill performs distillation column design including tray and packing selection, hydraulic calculations, and column optimization for vapor-liquid separations. ## Capabilities - McCabe-Thiele and Ponchon-Savarit methods - Shortcut design calculations (Fenske, Underwood, Gilliland) - Tray hydraulics (flooding, weeping, entrainment) - Packing selection and sizing (HETP, pressure drop) - Feed location optimization - Reflux ratio optimization - Side draw design - Azeotropic and extractive distillation ## Usage Guidelines ### When to Use - Designing new distillation columns - Rating existing columns - Optimizing column performance - Evaluating tray vs. packing ### Prerequisites - VLE data available - Feed composition defined - Product specifications set - Thermodynamic model validated ### Best Practices - Validate VLE predictions - Consider turndown requirements - Allow for design margins - Evaluate energy integration ## Process Integration This skill integrates with: - Distillation Column Design and Optimization - Separation Sequence Synthesis - Heat Integration Analysis ## Configuration ```yaml distillation-designer: int
- Purpose
- Capabilities
- Usage Guidelines
- When to Use
- Prerequisites
- Best Practices
- Process Integration
- Configuration
- Output Artifacts
What does the distillation-designer skill do?
Distillation column design skill for tray/packing selection, hydraulic analysis, and column optimization
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill distillation-designer --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.