Plasma Etch Controller
SkillDev toolsPlasma etching skill for anisotropic nanostructure patterning with selectivity and profile 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 Plasma Etch 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/plasma-etch-controller/SKILL.md and read by ahel’s review.
Purpose
The Plasma Etch Controller skill provides comprehensive plasma etching process control for nanofabrication, enabling anisotropic pattern transfer with optimized selectivity, profile control, and minimal damage.
Capabilities
- Etch chemistry selection
- Anisotropy and selectivity optimization
- Endpoint detection
- Profile and sidewall angle control
- Loading effect compensation
- Plasma damage assessment
Usage Guidelines
Plasma Etch Process
-
Chemistry Selection
- Match chemistry to material
- Consider selectivity requirements
- Address sidewall passivation
-
Profile Control
- Optimize ion energy
- Balance chemical and physical
- Control sidewall angle
-
Endpoint Detection
- Use OES for species monitoring
- Apply interferometry
- Implement time-based backup
Process Integration
- Nanolithography Process Development
- Nanodevice Integration Process Flow
Input Schema
{
"material": "string",
"mask_type": "string",
"target_depth": "number (nm)",
"feature_cd": "number (nm)",
"selectivity_requirements": {
"to_mask": "number",
"to_underlayer": "number"
}
}
Output Schema
{
"etch_recipe": {
"gases": [{"gas": "string", "flow": "number (sccm)"}],
"pressure": "number (mTorr)",
"rf_power": "number (W)",
"bias_power": "number (W)"
},
"etch_rate": "number (nm/min)",
"selectivity": {
"to_mask": "number",
"to_underlayer": "number"
},
"sidewall_angle": "number (degrees)",
"uniformity": "number (%)"
}
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
plasma-etch-controller- Source
- github.com/a5c-ai/babysitter