Agent skill

cvd-pvd-process-controller

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

Stars 514
Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/nanotechnology/skills/cvd-pvd-process-controller

Metadata

Additional technical details for this skill

phase
6
domain
science
category
fabrication
priority
high
specialization
nanotechnology
tools libraries
[
    "Deposition rate calculators",
    "Film thickness monitors"
]

SKILL.md

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"}]
}

Expand your agent's capabilities with these related and highly-rated skills.

a5c-ai/babysitter

gsd-tools

Central utility skill for GSD operations. Provides config parsing, slug generation, timestamps, path operations, and orchestrates calls to other specialized skills. Acts as the unified entry point that the original gsd-tools.cjs provided via its lib/ modules (commands, config, core, init).

514 31
Explore
a5c-ai/babysitter

model-profile-resolution

Resolve model profile (quality/balanced/budget) at orchestration start and map agents to specific models. Enables cost/quality tradeoffs by selecting appropriate AI models for each agent role.

514 31
Explore
a5c-ai/babysitter

verification-suite

Plan structure validation, phase completeness checks, reference integrity verification, and artifact existence confirmation. Provides the structured verification layer ensuring GSD artifacts are well-formed and complete.

514 31
Explore
a5c-ai/babysitter

state-management

STATE.md reading, writing, and field-level updates. Provides cross-session state persistence via .planning/STATE.md with structured fields for current task, completed phases, blockers, decisions, and quick tasks.

514 31
Explore
a5c-ai/babysitter

git-integration

Git commit patterns, formats, and conventions for GSD methodology. Provides atomic commits per task, structured commit messages, planning file commits, branch management, and milestone tag operations.

514 31
Explore
a5c-ai/babysitter

frontmatter-parsing

YAML frontmatter parsing and manipulation for .planning/ documents. Provides read, write, update, query, and validation operations on frontmatter blocks in GSD markdown artifacts.

514 31
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results