| name | instrument-data-allotrope-example-1-vi-cell-blu-file |
| description | Sub-skill of instrument-data-allotrope: Example 1: Vi-CELL BLU file (+2). |
| version | 1.0.0 |
| category | science |
| type | reference |
| scripts_exempt | true |
Example 1: Vi-CELL BLU file (+2)
Example 1: Vi-CELL BLU file
User: "Convert this cell counting data to Allotrope format"
[uploads viCell_Results.xlsx]
Codex:
1. Detects Vi-CELL BLU (95% confidence)
2. Converts using allotropy native parser
3. Outputs:
- viCell_Results_asm.json (full ASM)
- viCell_Results_flat.csv (2D format)
- viCell_parser.py (exportable code)
Example 2: Request for code handoff
User: "I need to give our data engineer code to parse NanoDrop files"
Codex:
1. Generates self-contained Python script
2. Includes sample input/output
3. Documents all assumptions
4. Provides Jupyter notebook version
Example 3: LIMS-ready flattened output
User: "Convert this ELISA data to a CSV I can upload to our LIMS"
Codex:
1. Parses plate reader data
2. Generates flattened CSV with columns:
- sample_identifier, well_position, measurement_value, measurement_unit
- instrument_serial_number, analysis_datetime, assay_type
3. Validates against common LIMS import requirements
