ALD Process Controller
SkillDev toolsAtomic Layer Deposition skill for conformal thin film deposition with atomic-level thickness control
Use ALD Process Controller in Claude, ChatGPT or Ahel Desktop
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Also: Claude Code · Cursor · Codex
Then ask your AI: use the ALD Process Controller 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/nanotechnology/skills/ald-process-controller/SKILL.md and read by Ahel’s review.
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
-
Saturation Studies
- Vary pulse times
- Identify saturation dose
- Optimize purge times
-
Process Window
- Determine ALD window
- Optimize temperature
- Monitor GPC stability
-
Film Quality
- Characterize uniformity
- Measure conformality
- Assess impurity levels
Process Integration
- Thin Film Deposition Process Optimization
- Nanodevice Integration Process Flow
Input Schema
{
"material": "string",
"precursor_a": "string",
"precursor_b": "string",
"target_thickness": "number (nm)",
"substrate": "string",
"temperature": "number (C)"
}
Output Schema
{
"optimized_recipe": {
"precursor_a_pulse": "number (s)",
"purge_a": "number (s)",
"precursor_b_pulse": "number (s)",
"purge_b": "number (s)"
},
"gpc": "number (Angstrom/cycle)",
"cycles_required": "number",
"uniformity": "number (%)",
"conformality": "number (% step coverage)"
}
Signals
- GitHub stars
- 2k
- Forks
- 113
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
ald-process-controller- Source
- github.com/a5c-ai/babysitter