characterization-workflow-orchestrator
Workflow automation skill for orchestrating multi-technique characterization sequences
Best use case
characterization-workflow-orchestrator is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Workflow automation skill for orchestrating multi-technique characterization sequences
Teams using characterization-workflow-orchestrator should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/characterization-workflow-orchestrator/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How characterization-workflow-orchestrator Compares
| Feature / Agent | characterization-workflow-orchestrator | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Workflow automation skill for orchestrating multi-technique characterization sequences
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# 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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