Workflow automation skill for orchestrating multi-technique characterization sequences
Scanned 9/2/2026
Install to Claude Code
npx -y skills add a5c-ai/babysitter --skill characterization-workflow-orchestrator --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Characterization Workflow Orchestrator?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/a5c-ai-characterization-workflow-orchestrator-babysitter)More formats (shields.io, HTML) on the badges page.
---
name: characterization-workflow-orchestrator
description: Workflow automation skill for orchestrating multi-technique characterization sequences
allowed-tools:
- Read
- Write
- Glob
- Grep
- Bash
metadata:
specialization: nanotechnology
domain: science
category: infrastructure-quality
priority: high
phase: 6
tools-libraries:
- Workflow engines
- Instrument integration APIs
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]
---
# 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"
}
```
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!