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labarchive-integration

Manage LabArchives notebooks, entries, and attachments via Python and REST API.

Updated Mar 10, 2026
Search Tags:#data management#api integration#research automation#eln#labarchives#electronic lab notebook
One-click install
npx skills add https://github.com/Yezez9/Research-Agent --skill labarchive-integration-yezez9
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: labarchive-integration
Source: https://github.com/Yezez9/Research-Agent/tree/main/scientific-skills/labarchive-integration
Command: npx skills add https://github.com/Yezez9/Research-Agent --skill labarchive-integration-yezez9

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires labarchives-py, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines laboratory documentation and data management by enabling programmatic interaction with the LabArchives electronic lab notebook platform.

Core Features & Use Cases

  • Notebook Management: Access, backup, and manage your electronic lab notebooks and their contents.
  • Data Integration: Integrate LabArchives with other scientific tools like Jupyter, REDCap, and Protocols.io.
  • Use Case: Automatically back up all your lab notebooks nightly, or programmatically upload experimental results from a Jupyter notebook directly into a LabArchives entry.

Quick Start

Use the labarchive-integration skill to backup notebook with ID '12345' to the default backup directory.

Frequently Asked Questions about labarchive-integration

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate LabArchives notebook backups using Python?▼

Automating LabArchives notebook backups uses Python scripts to interact with the ELN API. You can programmatically access and manage electronic lab notebooks to schedule nightly backups to a specified directory.

Can I integrate Jupyter experimental results with an electronic lab notebook?▼

Integrating Jupyter experimental results with an electronic lab notebook is supported. You can programmatically upload data from Jupyter directly into LabArchives entries using Python scripts and REST API calls.

How does API authentication work for LabArchives data management?▼

API authentication for LabArchives data management is handled through the labarchives-py dependency. It establishes secure connections to perform programmatic management of notebooks, entries, and attachments.

Does this skill support uploading attachments to LabArchives entries?▼

Uploading attachments to LabArchives entries is fully supported. You can programmatically upload experimental results and files directly into your electronic lab notebook via Python scripts.

Can I connect LabArchives with other scientific tools like REDCap and Protocols.io?▼

Connecting LabArchives with other scientific tools like REDCap and Protocols.io is supported. This third-party tool integration enables seamless data management across your research automation workflows.

What is the best way to programmatically create entries in an electronic lab notebook?▼

The best way to programmatically create entries in an electronic lab notebook uses Python scripts via the LabArchives REST API. This enables automated entry creation and data integration without manual documentation.

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