CVD-PVD Process Controller

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Chemical/Physical Vapor Deposition skill for thin film and nanostructure deposition optimization

Use CVD-PVD Process Controller in Claude, ChatGPT or Ahel Desktop

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Then ask your AI: use the CVD-PVD Process Controller skill

Details

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.

CVD-PVD Process ControllerStart free

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/nanotechnology/skills/cvd-pvd-process-controller/SKILL.md and read by Ahel’s review.

Purpose

The CVD-PVD Process Controller skill provides comprehensive vapor deposition process control for thin film and nanostructure fabrication, enabling optimized growth conditions for various material systems.

Capabilities

  • CVD precursor chemistry selection
  • Temperature and pressure optimization
  • Plasma-enhanced CVD protocols
  • PVD sputtering/evaporation control
  • Film stress management
  • Rate and uniformity optimization

Usage Guidelines

Deposition Process Control

  1. CVD Optimization

    • Select precursor chemistry
    • Optimize flow rates
    • Control temperature profile
  2. PVD Control

    • Optimize sputter power
    • Control deposition rate
    • Manage film stress
  3. Quality Assurance

    • Monitor thickness in-situ
    • Characterize composition
    • Verify stoichiometry

Process Integration

  • Thin Film Deposition Process Optimization
  • Nanodevice Integration Process Flow

Input Schema

{
  "deposition_type": "cvd|pecvd|sputtering|evaporation",
  "material": "string",
  "target_thickness": "number (nm)",
  "substrate": "string",
  "quality_requirements": {
    "uniformity": "number (%)",
    "stress": "string (tensile|compressive|neutral)"
  }
}

Output Schema

{
  "process_parameters": {
    "temperature": "number (C)",
    "pressure": "number (mTorr)",
    "power": "number (W)",
    "gas_flows": [{"gas": "string", "flow": "number (sccm)"}]
  },
  "deposition_rate": "number (nm/min)",
  "uniformity": "number (%)",
  "film_stress": "number (MPa)",
  "composition": [{"element": "string", "fraction": "number"}]
}

Signals

GitHub stars
2k
Forks
113
Last commit
Sep 2026
Advanced
Item type
skill
Key
cvd-pvd-process-controller
Source
github.com/a5c-ai/babysitter