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labstep-sentiment

Official

Summarize experiment findings.

Education & Research#data extraction#reporting#labstep#excel export#research analysis#experiment summary
Authorneurogenomics
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill automates the summarization of key findings and researcher thoughts from experiments stored in Labstep, transforming raw data into actionable insights.

Core Features & Use Cases

  • Extracts Rich Text: Retrieves detailed notes, aims, and objectives from Labstep experiments.
  • Summarizes Findings: Condenses experimental results into concise, data-focused summaries.
  • Captures Researcher Thoughts: Extracts interpretations, next steps, and open questions from notes.
  • Exports to Excel: Organizes summaries into a structured Excel file for easy review.
  • Use Case: Generate a comprehensive research summary report for all experiments conducted in January 2026, highlighting key outcomes and researcher reflections.

Quick Start

Export experiment summaries for all experiments in January 2026 to an Excel file.

Dependency Matrix

Required Modules

requestslabsteppython-dotenvopenpyxl

Components

scripts

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: labstep-sentiment
Download link: https://github.com/neurogenomics/lab-agents/archive/main.zip#labstep-sentiment

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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