address-mapping

Normalize raw location strings into standardized address schemas with country codes.

Updated Jan 7, 2025
One-click install
npx skills add https://github.com/jobstash/webapp --skill address-mapping
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: address-mapping
Source: https://github.com/jobstash/webapp/tree/main/.claude/skills/address-mapping
Command: npx skills add https://github.com/jobstash/webapp --skill address-mapping

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill standardizes raw, often inconsistent, location strings into structured, machine-readable address formats, ensuring data consistency and compliance with schema requirements.

Core Features & Use Cases

  • Location Normalization: Converts various location inputs (cities, countries, regions, remote indicators) into a defined address schema.
  • Remote Work Handling: Correctly identifies and formats remote work locations.
  • Use Case: When processing job postings, use this Skill to ensure all location data, whether it's "NYC", "[REMOTE] Singapore", or "USA, UK", is converted into a consistent format for display and analysis.

Quick Start

Use the address-mapping skill to convert the location string "Chicago, IL / NY, US - Remote (any location)".

Frequently Asked Questions about address-mapping

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

FAQPage Schema
How do I standardize raw location strings for data cleaning?▼

To standardize raw location strings for data cleaning, you normalize inconsistent inputs like cities or regions into a structured address schema with country codes and locality details.

Can I use address mapping to handle remote work indicators in location data?▼

Yes, address mapping handles remote work indicators by correctly identifying and formatting remote work locations within the standardized address schema.

What is the best way to structure diverse location inputs into a consistent schema?▼

The best way to structure diverse location inputs is mapping them to a consistent schema that enforces address standardization rules, ensuring data consistency for location-based services.

Does address mapping support multiple regional expansions in a single string?▼

Address mapping supports regional expansions by parsing multiple locations within a single input string and mapping them to the defined address schema with appropriate country codes.

Are there limitations when processing large batches of location strings?▼

Yes, a limitation when processing location strings is the requirement to adhere to maximum address count rules, meaning batches must conform to defined schema constraints.