Plasma Etch Controller

SkillDev tools

Plasma 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.

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

  1. Chemistry Selection

    • Match chemistry to material
    • Consider selectivity requirements
    • Address sidewall passivation
  2. Profile Control

    • Optimize ion energy
    • Balance chemical and physical
    • Control sidewall angle
  3. 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