nanomaterial-lims-manager

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Laboratory Information Management System skill for nanomaterial sample tracking and data management

AI & Automation 814 stars 53 forks Updated today MIT

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Skill Content

# 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_bat...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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