Agent skill

characterization-workflow-orchestrator

Workflow automation skill for orchestrating multi-technique characterization sequences

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/characterization-workflow-orchestrator

Metadata

Additional technical details for this skill

phase
6
domain
science
category
infrastructure-quality
priority
high
specialization
nanotechnology
tools libraries
[
    "Workflow engines",
    "Instrument integration APIs"
]

SKILL.md

Characterization Workflow Orchestrator

Purpose

The Characterization Workflow Orchestrator skill provides automated coordination of multi-technique characterization campaigns, enabling efficient sample throughput, data correlation, and comprehensive reporting.

Capabilities

  • Characterization sequence planning
  • Sample routing optimization
  • Data aggregation and correlation
  • Report generation
  • Quality gate enforcement
  • Instrument scheduling

Usage Guidelines

Workflow Orchestration

  1. Sequence Planning

    • Define required techniques
    • Order for sample compatibility
    • Allocate instrument time
  2. Execution Management

    • Track sample progress
    • Handle technique failures
    • Route to next steps
  3. Data Integration

    • Aggregate results
    • Correlate across techniques
    • Generate reports

Process Integration

  • Multi-Modal Nanomaterial Characterization Pipeline
  • Structure-Property Correlation Analysis

Input Schema

json
{
  "sample_id": "string",
  "characterization_goals": ["size", "composition", "structure", "surface"],
  "techniques_required": ["TEM", "XRD", "XPS", "DLS"],
  "priority": "routine|urgent",
  "turnaround_target": "number (days)"
}

Output Schema

json
{
  "workflow": {
    "id": "string",
    "status": "planned|in_progress|completed",
    "sequence": [{
      "step": "number",
      "technique": "string",
      "instrument": "string",
      "scheduled_time": "string"
    }]
  },
  "progress": {
    "completed": "number",
    "total": "number",
    "current_step": "string"
  },
  "integrated_results": {
    "summary": "string",
    "data_files": ["string"],
    "quality_metrics": {}
  },
  "report_path": "string"
}

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