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
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-sanitizer
AddressSanitizer detects memory errors during fuzzing. Use when fuzzing C/C++ code to find buffer overflows and use-after-free bugs.
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.
address-pr-comments
Addresses PR review comments by making code changes and posting replies. Takes a PR number or auto-detects from current branch. Use when the user wants to address review feedback, respond to PR comments, fix PR feedback, or says "address comments on PR X".
address-github-comments
Use when you need to address review or issue comments on an open GitHub Pull Request using the gh CLI.
adding-mod-parsers
Use when adding new mod parsers to convert game mod strings to typed Mod objects - guides the template-based parsing pattern (project)
ac-spec-parser
Parse and validate project specifications. Use when loading YAML/JSON specs, validating spec structure, extracting requirements, or converting between spec formats.
ux
This AI agent skill provides comprehensive guidance for creating professional and insightful User Experience (UX) designs, covering user research, information architecture, interaction design, visual guidance, and usability evaluation. It aims to produce actionable, user-centered solutions that avoid generic AI aesthetics.
modal-deployment
Run Python code in the cloud with serverless containers, GPUs, and autoscaling using Modal. This skill enables agents to generate code for deploying ML models, running batch jobs, serving APIs, and scaling compute-intensive workloads.
lets-go-rss
A lightweight, full-platform RSS subscription manager that aggregates content from YouTube, Vimeo, Behance, Twitter/X, and Chinese platforms like Bilibili, Weibo, and Douyin, featuring deduplication and AI smart classification.
astro
This skill provides essential Astro framework patterns, focusing on server-side rendering (SSR), static site generation (SSG), middleware, and TypeScript best practices. It helps AI agents implement secure authentication, manage API routes, and debug rendering behaviors within Astro projects.
ontopo
An AI agent skill to search for Israeli restaurants, check table availability, view menus, and retrieve booking links via the Ontopo platform, acting as an unofficial interface to its data.