nanomaterial-lims-manager
Laboratory Information Management System skill for nanomaterial sample tracking and data management
Best use case
nanomaterial-lims-manager is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Laboratory Information Management System skill for nanomaterial sample tracking and data management
Teams using nanomaterial-lims-manager 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/nanomaterial-lims-manager/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How nanomaterial-lims-manager Compares
| Feature / Agent | nanomaterial-lims-manager | 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?
Laboratory Information Management System skill for nanomaterial sample tracking and data management
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.
SKILL.md Source
# Nanomaterial LIMS Manager
## Purpose
The Nanomaterial LIMS Manager skill provides comprehensive laboratory information management for nanomaterial research, enabling systematic sample tracking, data linking, and quality assurance throughout the development lifecycle.
## Capabilities
- Sample tracking and chain of custody
- Synthesis parameter logging
- Characterization data linking
- Batch genealogy tracking
- Quality control checkpoints
- Regulatory documentation
## Usage Guidelines
### LIMS Operations
1. **Sample Management**
- Register new samples
- Track sample locations
- Maintain chain of custody
2. **Data Integration**
- Link synthesis records
- Associate characterization data
- Build batch genealogy
3. **Quality Management**
- Define QC checkpoints
- Track specifications
- Generate certificates
## Process Integration
- All synthesis and characterization processes
- Nanomaterial Scale-Up and Process Transfer
## Input Schema
```json
{
"operation": "register|track|query|report",
"sample_id": "string",
"sample_type": "nanoparticle|thin_film|device",
"metadata": {
"project": "string",
"synthesized_by": "string",
"synthesis_date": "string"
}
}
```
## Output Schema
```json
{
"sample_record": {
"sample_id": "string",
"status": "active|consumed|archived",
"location": "string",
"linked_data": [{
"data_type": "string",
"record_id": "string"
}]
},
"genealogy": {
"parent_batch": "string",
"derived_samples": ["string"]
},
"qc_status": {
"checkpoints_passed": "number",
"checkpoints_total": "number",
"status": "pass|fail|pending"
}
}
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