address-parser

Community

Parse addresses into structured components.

Authordkyazzentwatwa
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill tackles the challenge of inconsistent and unstructured address data, making it difficult to process, validate, or use in downstream applications like mapping or CRM systems.

Core Features & Use Cases

  • Component Extraction: Accurately separates street, city, state, zip code, and country from free-form text.
  • Standardization & Validation: Ensures addresses conform to a consistent format and basic validity checks.
  • Use Case: Process a CSV file of customer addresses collected from various sources, standardizing them for accurate mailings or database entry.

Quick Start

Use the address-parser skill to parse the address '1600 Pennsylvania Ave NW, Washington, DC 20500'.

Dependency Matrix

Required Modules

pandas

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: address-parser
Download link: https://github.com/dkyazzentwatwa/chatgpt-skills/archive/main.zip#address-parser

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