ald-process-controller
Atomic Layer Deposition skill for conformal thin film deposition with atomic-level thickness control
npx skills add a5c-ai/babysitter --skill ald-process-controller --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.
# ALD Process Controller ## Purpose The ALD Process Controller skill provides comprehensive atomic layer deposition process control, enabling conformal thin film growth with atomic-level precision through optimized pulse sequences and in-situ monitoring. ## Capabilities - Precursor pulse/purge optimization - Growth per cycle (GPC) characterization - Film uniformity mapping - Conformality assessment - In-situ monitoring integration - Multi-component film design ## Usage Guidelines ### ALD Process Control 1. **Saturation Studies** - Vary pulse times - Identify saturation dose - Optimize purge times 2. **Process Window** - Determine ALD window - Optimize temperature - Monitor GPC stability 3. **Film Quality** - Characterize uniformity - Measure conformality - Assess impurity levels ## Process Integration - Thin Film Deposition Process Optimization - Nanodevice Integration Process Flow ## Input Schema ```json { "material": "string", "precursor_a": "string", "precursor_b": "string", "target_thickness": "number (nm)", "substrate": "string", "temperature": "number (C)" } ``` ## Output Schema ```json { "optimized_recipe": { "precursor_a_pulse": "number (s)", "purge_a": "number (s)", "precu
- Purpose
- Capabilities
- Usage Guidelines
- ALD Process Control
- Process Integration
- Input Schema
- Output Schema
What does the ald-process-controller skill do?
Atomic Layer Deposition skill for conformal thin film deposition with atomic-level thickness control
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill ald-process-controller --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.