Instrument Data to Allotrope Converter
SkillFiles & storageConvert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV using native allotropy or declarative YAML mapping rules. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis.
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
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Then ask your AI: use the Instrument Data to Allotrope Converter skill
What this skill tells your AI
The instructions your AI receives, as published by herry423/bionexus in skills/instrument-data-to-allotrope/SKILL.md and read by ahel’s review.
Convert laboratory instrument files into standardized Allotrope Simple Model (ASM) JSON and 2D flattened CSV format for LIMS upload, data lakes, or automated ingestion pipelines.
Key Features
- Auto-Detection: Recognizes 20+ laboratory instrument types (Tecan, BioTek, Molecular Devices, Beckman, NanoDrop, Bio-Rad, Roche, MSD, etc.)
- Declarative YAML Mapping Engine (
configs/instrument_mappings.yml): Customize parsing rules for proprietary lab devices using YAML without writing code. - High-Throughput Parallel Batch Processing: Multi-core process pool executor converts hundreds of plates in seconds with summary metrics.
- Calculated Data Traceability: Standards-compliant
calculated-data-aggregate-documentand cryptographic SHA-256 data lineage.
Quick Start CLI
# Single file conversion
python scripts/convert_to_asm.py plate_reader_output.xlsx --flatten
# High-throughput batch conversion across all available CPU cores
python scripts/convert_to_asm.py --batch-dir ./raw_plates/ --workers 8 --flatten
Custom Instrument Configuration (configs/instrument_mappings.yml)
Add custom laboratory instrument mappings declaratively:
instruments:
my_custom_fluorometer:
vendor: "Custom Vendor"
model: "FluoroMax-4"
measurement_type: "fluorescence emission"
file_patterns:
- ".*fluoromax.*\\.csv$"
detection_keywords:
- "FluoroMax"
- "Intensity"
metadata_rules:
device_identifier:
strategy: "cell"
target: "B1"
excitation_wavelength:
strategy: "regex"
pattern: "Ex:\\s*(\\d+)"
default: 480
data_table_rules:
header_row_detection: "auto"
start_keyword: "Well|Sample"
well_column: "Well"
value_column: "Intensity|Counts"
unit: "RFU"
Signals
- GitHub stars
- 31
- Forks
- 4
- Last commit
- Sep 2026
ahel review
K1binfo
installs-packages (in scripts/export_parser.py)K1binfo
installs-packages (in scripts/flatten_asm.py)K1binfo
installs-packages (in requirements.txt)
Automated review, not a security audit. Ruleset v1+k2.
Advanced
- Item type
- skill
- Key
instrument-data-to-allotrope- Source
- github.com/herry423/bionexus