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CVD-PVD Process Controller

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

Installable skillMITBy a5c-aiUpdated Oct 30, 2026
INTENDED FORClaude CodeCodexOpenClawCursorInstall in a listed agent.

instructions.md

---
name: cvd-pvd-process-controller-f447420a1d48
description: Chemical/Physical Vapor Deposition skill for thin film and nanostructure deposition optimization
allowed-tools:
  - Read
  - Write
  - Glob
  - Grep
  - Bash
metadata:
  specialization: nanotechnology
  domain: science
  category: fabrication
  priority: high
  phase: 6
  tools-libraries:
    - Deposition rate calculators
    - Film thickness monitors
graph:
  domains: [domain:nanotechnology]
  skillAreas: [skill-area:mathematical-reasoning, skill-area:physics-simulation, skill-area:data-analysis]
  workflows: [workflow:experiment-design]
  roles: [role:research-engineer]
---

# CVD-PVD Process Controller

## 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

```json
{
  "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

```json
{
  "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"}]
}
```

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Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.