battery-cell-extraction-claude-skills

🥈Silver

A Claude Skill that extracts Li-ion battery cell specifications from supplier PDF datasheets, converts them to structured JSON, and exports the data to Google Sheets.

700Updated 4mo ago

Intermediate30min to implementautomation

Saves ~360 min per use

Quick InstallView Source

git clone https://github.com/thinkwithyili/battery-cell-extraction-claude-skills.git

Works with:

Claude

Overview

About This Skill

Battery Cell Extraction is a Claude Skill that automates the extraction and standardization of Li-ion battery cell specifications from supplier PDF datasheets. The workflow processes unstructured PDF data through Claude's extraction engine, producing structured JSON output that captures key cell parameters in a normalized format. That JSON can then be exported to Google Sheets for database building and analysis such as Ragone plots. The skill is designed for engineers, researchers, and procurement teams who need to aggregate and compare battery cell data from multiple suppliers without manual data entry.

How to Use

Upload supplier battery cell PDF datasheets as input to the Claude Skill. The skill extracts and normalizes specifications into a structured JSON file for download. Use the included jsonToGoogleSheet module to export the JSON data into Google Sheets for further analysis.

Use Cases

Extracting battery cell specifications from supplier PDF datasheets automatically

Building a structured Google Sheets database of Li-ion cell parameters

Standardizing and normalizing battery spec data from multiple suppliers

Preparing structured cell data for Ragone plot analysis

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/thinkwithyili/battery-cell-extraction-claude-skills

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Analyze the following battery cell extraction process data from [COMPANY] in the [INDUSTRY] sector. Identify inefficiencies and suggest automation opportunities. Data: [DATA]. Focus on reducing manual labor and improving extraction yield.

Example Output

# Battery Cell Extraction Analysis

## Current Process Inefficiencies
- **Manual Sorting**: 30% of labor hours spent on manual cell sorting
- **Yield Loss**: 12% of cells damaged during extraction
- **Bottlenecks**: Extraction line operates at 65% capacity due to manual processes

## Automation Opportunities
1. **Automated Sorting System**: Implement robotic arms with vision systems to sort cells by size and condition
2. **Conveyor Belt Upgrade**: Install smart conveyors with sensors to detect and separate damaged cells
3. **Real-time Monitoring**: Deploy IoT sensors to track extraction line performance and predict maintenance needs

## Estimated Benefits
- **Labor Savings**: Reduce manual labor by 40%
- **Yield Improvement**: Increase extraction yield by 8-10%
- **Throughput Increase**: Boost line capacity to 85-90%