address-parser
Parse unstructured addresses into structured components - street, city, state, zip, country with validation.
Best use case
address-parser is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Parse unstructured addresses into structured components - street, city, state, zip, country with validation.
Teams using address-parser should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/address-parser/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How address-parser Compares
| Feature / Agent | address-parser | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Parse unstructured addresses into structured components - street, city, state, zip, country with validation.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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 ```bash python address_parser.py --input addresses.csv --column address --output parsed.csv ``` ## Dependencies - pandas>=2.0.0
Related Skills
ac-spec-parser
Parse and validate project specifications. Use when loading YAML/JSON specs, validating spec structure, extracting requirements, or converting between spec formats.
addressing-pr-feedback
Fetches, organizes, and addresses PR review comments from GitHub. Use when user asks to review PR comments, fix PR feedback, check what reviewers said, address review comments, or handle bot suggestions on a pull request. Triggers on "review PR", "fix comments", "PR feedback", "what did reviewers say", "address PR feedback", "check PR comments".
address-github-comments
Use when you need to address review or issue comments on an open GitHub Pull Request using the gh CLI.
airparser-api
Guia para integrar con el servicio de parsing de documentos Airparser via API, webhooks y Make.com. Usar cuando se configuren inboxes, esquemas de extraccion, o flujos de automatizacion para procesamiento de recibos.
agent-parser
End-to-end resume parsing (detect format → extract fields). Uses a combination of format detection, text extraction, and LLM parsing to normalize resume data.
address-review
Use when addressing PR review comments from Copilot, Claude, or human reviewers. Critically assesses each comment, recommends action (implement/push-back/discuss), and executes appropriately.
bgo
Automates the complete Blender build-go workflow, from building and packaging your extension/add-on to removing old versions, installing, enabling, and launching Blender for quick testing and iteration.
aegis-protocol-ratification
Ratify AEGIS protocol governance frameworks.
aegis-architect
Enhanced architecture guidance for voice-first Brazilian fintech applications. Use when designing voice interfaces, implementing PIX/Boletos, optimizing financial systems, or making technology stack decisions for Brazilian market applications. Integrates with docs/ content, MCP tools for Brazilian market research, enhanced validation scripts, and comprehensive Brazilian compliance patterns.
ae-sdd-init
Initialize a new SDD change set after user-approved naming
adynato-web
Web development conventions for Adynato projects. Covers image optimization with img4web, asset management, component patterns, styling, and performance best practices. Use when building or modifying web applications, adding images/assets, or creating UI components.
adynato-mobile
Mobile app development conventions for Adynato projects using React Native and Expo. Covers navigation patterns, native APIs, performance optimization, and platform-specific considerations. Use when building or modifying mobile applications.