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.mdsource 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