Babysitter cleanroom-protocol-manager

Cleanroom operations skill for managing protocols, contamination control, and process flows

install

source · Clone the upstream repo

git clone https://github.com/a5c-ai/babysitter

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/science/nanotechnology/skills/cleanroom-protocol-manager" ~/.claude/skills/a5c-ai-babysitter-cleanroom-protocol-manager && rm -rf "$T"

manifest: library/specializations/domains/science/nanotechnology/skills/cleanroom-protocol-manager/SKILL.md

Cleanroom Protocol Manager

Purpose

The Cleanroom Protocol Manager skill provides comprehensive management of cleanroom operations for nanofabrication, ensuring protocol compliance, contamination control, and efficient process flows.

Capabilities

Protocol version control
Equipment qualification tracking
Contamination monitoring
Process flow documentation
Training record management
Maintenance scheduling

Usage Guidelines

Protocol Management

Protocol Development
- Create step-by-step procedures
- Define critical parameters
- Include safety requirements
Process Control
- Track process execution
- Monitor contamination levels
- Manage equipment status
Documentation
- Maintain revision history
- Track operator training
- Generate reports

Process Integration

All fabrication processes
Nanomaterial Scale-Up and Process Transfer

Input Schema

{
  "operation": "create_protocol|update_protocol|track_execution|query_status",
  "protocol_id": "string",
  "process_type": "lithography|deposition|etch|characterization",
  "cleanroom_class": "1|10|100|1000|10000"
}

Output Schema

{
  "protocol": {
    "id": "string",
    "version": "string",
    "status": "active|draft|deprecated",
    "steps": [{
      "step_number": "number",
      "description": "string",
      "equipment": "string",
      "parameters": {}
    }]
  },
  "execution_log": {
    "total_runs": "number",
    "success_rate": "number (%)",
    "last_run": "string"
  },
  "contamination_status": {
    "particle_count": "number",
    "classification_met": "boolean"
  }
}