service-labarchive-integration

Integrate with the LabArchives API to manage notebooks, entries, and attachments.

Updated Mar 13, 2026
One-click install
npx skills add https://github.com/biomaps-infra/blender-opencode --skill service-labarchive-integration
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: service-labarchive-integration
Source: https://github.com/biomaps-infra/blender-opencode/tree/main/.opencode/skills/service-labarchive-integration
Command: npx skills add https://github.com/biomaps-infra/blender-opencode --skill service-labarchive-integration

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires labarchives-py, requests, PyYAML, xml.etree.ElementTree, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates interactions with electronic lab notebooks, streamlining data management, backup, and integration with other research tools.

Core Features & Use Cases

  • Notebook Management: Access, backup, and manage entries and attachments within LabArchives.
  • Third-Party Integration: Connects with tools like Protocols.io, Jupyter, and REDCap for unified research workflows.
  • Use Case: Automatically back up all your lab notebooks nightly, or programmatically upload experimental results from a Jupyter notebook directly into LabArchives for a complete audit trail.

Quick Start

Use the service-labarchive-integration skill to backup your notebook with ID '12345'.

Frequently Asked Questions about service-labarchive-integration

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

FAQPage Schema
How do I back up an electronic lab notebook programmatically?

To back up an electronic lab notebook programmatically, use Python scripts provided by this Skill to interact with the LabArchives API, authenticating and retrieving notebook entries and attachments automatically for research data management.

Can I upload experimental results from Jupyter directly into LabArchives?

Yes, you can upload experimental results from Jupyter directly into LabArchives. This Skill supports third-party integration with Jupyter, programmatically creating entries and uploading attachments for a complete research audit trail.

Does this LabArchives API integration support authentication and data retrieval?

Yes, this LabArchives API integration supports authentication and data retrieval. It uses Python scripts with the labarchives-py and requests dependencies to access notebooks, manage entries, and retrieve attachments.

What is the best way to connect Protocols.io or REDCap with an electronic lab notebook?

The best way to connect Protocols.io or REDCap with an electronic lab notebook is using API integration scripts. This Skill enables third-party integration to unify research workflows across these scientific platforms.

Do I need Python to manage LabArchives notebook entries and attachments?

Yes, you need Python to manage LabArchives notebook entries and attachments. This Skill requires Python scripts for API interaction and configuration management using PyYAML and xml.etree.ElementTree dependencies.

When should I use programmatic API access instead of manual electronic lab notebook management?

You should use programmatic API access for electronic lab notebook management when automating nightly backups or integrating experimental results from third-party research platforms, streamlining data management workflows beyond manual capabilities.