ALD Process Controller
SkillDev toolsAtomic Layer Deposition skill for conformal thin film deposition with atomic-level thickness control
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.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the ALD Process Controller skill
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
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
ald-process-controller- Source
- github.com/a5c-ai/babysitter