membrane-system-designer
Membrane separation system design skill for RO, UF, NF, and gas separation applications
npx skills add a5c-ai/babysitter --skill membrane-system-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.
# Membrane System Designer Skill ## Purpose The Membrane System Designer Skill designs membrane separation systems including reverse osmosis, ultrafiltration, nanofiltration, and gas separation applications. ## Capabilities - Membrane selection and sizing - Module configuration design - Permeate flux calculations - Fouling prediction and mitigation - Cleaning protocol design - Multi-stage system design - Recovery and rejection optimization - Energy consumption analysis ## Usage Guidelines ### When to Use - Designing membrane separation systems - Optimizing existing installations - Evaluating membrane alternatives - Troubleshooting fouling issues ### Prerequisites - Feed characterization complete - Separation requirements defined - Operating conditions specified - Fouling potential assessed ### Best Practices - Account for fouling in design - Plan for membrane replacement - Include adequate pretreatment - Consider energy recovery ## Process Integration This skill integrates with: - Membrane Separation System Design - Separation Sequence Synthesis - Process Flow Diagram Development ## Configuration ```yaml membrane-system-designer: membrane-types: - reverse-osmosis - nanofiltration -
- Purpose
- Capabilities
- Usage Guidelines
- When to Use
- Prerequisites
- Best Practices
- Process Integration
- Configuration
- Output Artifacts
What does the membrane-system-designer skill do?
Membrane separation system design skill for RO, UF, NF, and gas separation applications
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill membrane-system-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.