Claude-skill-registry address-parser

Parse unstructured addresses into structured components - street, city, state, zip, country with validation.

install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/address-parser" ~/.claude/skills/majiayu000-claude-skill-registry-address-parser && rm -rf "$T"
manifest: skills/data/address-parser/SKILL.md
source content

Address Parser

Parse unstructured addresses into structured fields.

Features

  • Component Extraction: Street, city, state, zip, country
  • Format Standardization: Normalize address formats
  • Validation: Verify address components
  • Batch Processing: Parse multiple addresses
  • International Support: Multiple country formats
  • Geocoding Ready: Output for geocoding APIs

CLI Usage

python address_parser.py --input addresses.csv --column address --output parsed.csv

Dependencies

  • pandas>=2.0.0