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filter-csv-columns

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Streamline candidate data by retaining just the essentials for screening.

Data & Analytics#python#pandas#csv#data-transformation#data-cleaning#recruiting#profile-extraction
Authorgehtalexey
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Filter an enriched LinkedIn CSV to keep only columns relevant for recruiter screening. Consolidates jobs, education, and skills into clean columns.

Core Features & Use Cases

  • Maintains a fixed schema of 14 columns including current position, past positions, education, and skills.
  • Produces a compact dataset suitable for candidate screening and reporting.
  • Works with CSV exports containing profiles, job histories, education, and skills to generate a consistent dataset.

Quick Start

Use the filter-csv-columns skill to process your input CSV and write the filtered output to a new CSV file.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 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: filter-csv-columns
Download link: https://github.com/gehtalexey/linkedin-enricher/archive/main.zip#filter-csv-columns

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