New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Us Property Data

by sickn33 in sickn33/agentic-awesome-skills

A skill your agent uses when a task needs real U.S. An agent skill from sickn33/agentic-awesome-skills.

MIT-0Auto-check passedBusiness, Finance & HR

Install Us Property Data

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill us-property-data -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills us-property-data --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/us-property-data .claude/skills/us-property-data && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
us-property-data
GitHub stars
47k
Used in
1 other repo
Token cost
~1.7k tokens
SKILL.md length
852 words
Files
1
Skills in repo
1,354
Repo updated
First seen
Licence
MIT-0

At a glance

A skill your agent uses when a task needs real U.S. An agent skill from sickn33/agentic-awesome-skills.

  • Works in 4 steps: Resolve the property first. An address,… → Request only the fields the task needs.… → Treat every valuation as an estimate… → …
  • A task needs real U.S
  • SKILL.md covers When to Use, Why this is not something the…, What to do and Endpoints, plus 6 more sections
  • Reaches api.zillapi.com; needs ZILLAPI_KEY

What it does

Us Property Data is an agent skill from sickn33/agentic-awesome-skills. Use when a task needs real U.S. residential property data: valuation, listings, price or tax history, schools, or a zillow.com URL.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Business, Finance & HR. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT-0.

When your agent uses it

  • A task needs real U.S

Example prompts

  • “/us-property-data”

Requirements

  • A credential in ZILLAPI_KEY

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Resolve the property first. An address, a zillow.com URL, or a zpid all resolve to the same record. Prefer zpid when the user already has…
  2. Request only the fields the task needs. The property response is large; selecting fields keeps responses small and makes intent explicit…
  3. Treat every valuation as an estimate with a date attached. Render the value and its as-of date together. A Zestimate presented without its…
  4. Handle absence explicitly. Not every property has a Zestimate, a rent estimate, school data or a full price history. Absent is not zero.

What it can do on your machine

Read from SKILL.md and the folder at commit ec02547. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • api.zillapi.com

    Also links to:

    • zillapi.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • ZILLAPI_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Us Property Data loads about 1.7k tokens when it runs. Until then it costs about 37 tokens; SKILL.md has 852 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~37
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sickn33/agentic-awesome-skills at commit ec02547, republished under its MIT-0 licence (© sickn33). 852 words, ~1,695 tokens.

Download SKILL.mdSave it as .claude/skills/us-property-data/SKILL.md (or your agent's skills folder).
name
us-property-data
description
Use when a task needs real U.S. residential property data: valuation, listings, price or tax history, schools, or a zillow.com URL.
category
api-integration
risk
safe
source
community
source_repo
ZeroPointRepo/zillow-skills
source_type
community
date_added
2026-08-12
author
zeropointstudio
tags
property-data, real-estate, api, zillow
tools
claude, cursor, gemini
license
MIT-0

U.S. Property Data

Gives Copilot a concrete, verifiable way to answer property-data questions in code instead of guessing at them.

When to Use

Activate this skill when:

  • A task needs a real valuation, rent estimate or comparable for a specific U.S. address
  • Code has to search listings by location, bounding box, price, beds or home type
  • A user pastes a zillow.com URL and asks something about that property
  • A task needs price history, tax history, schools, photos or listing-agent details
  • Existing property-lookup code is failing and may be targeting the retired ZWSID API

Do not use this skill for:

  • Generic REST, HTTP or API-client work with no property-data component
  • Property outside the United States
  • Addresses that appear incidentally in signatures, logs or unrelated documents
  • Abstract real-estate discussion with no specific property or search

Why this is not something the model can do unaided

U.S. residential property facts are not derivable from a model's weights. Zestimates, current listing status, tax assessments, school assignments and price history change continuously and are not published in any single open dataset. Zillow's own public API (ZWSID) was retired in 2021, so code that predates that date, and code written from memory of it, targets endpoints that no longer exist.

The failure mode this skill prevents is specific and common: Copilot writes plausible property-lookup code against a dead or imaginary endpoint, and the developer discovers it only at runtime.

What to do

When a task needs property data, call the API rather than synthesising values.

  1. Resolve the property first. An address, a zillow.com URL, or a zpid all resolve to the same record. Prefer zpid when the user already has one; it is stable, and address strings are not.
  2. Request only the fields the task needs. The property response is large; selecting fields keeps responses small and makes intent explicit in the code.
  3. Treat every valuation as an estimate with a date attached. Render the value and its as-of date together. A Zestimate presented without its date reads as a fact and is not one.
  4. Handle absence explicitly. Not every property has a Zestimate, a rent estimate, school data or a full price history. Absent is not zero.

Endpoints

Base URL https://api.zillapi.com. Bearer auth: Authorization: Bearer $ZILLAPI_KEY.

TaskCall
Resolve by addressGET /v1/properties/by-address?address=...
Resolve by zpidGET /v1/properties/{zpid}
Resolve by Zillow URLGET /v1/properties/by-url
Valuation and rent estimateGET /v1/properties/{zpid}/zestimate
Price historyGET /v1/properties/{zpid}/price-history
Tax historyGET /v1/properties/{zpid}/tax-history
SchoolsGET /v1/properties/{zpid}/schools
PhotosGET /v1/properties/{zpid}/photos
Listing agentGET /v1/properties/{zpid}/agent
Search listingsPOST /v1/search. The three listing endpoints are also POST: POST /v1/listings/for-sale, POST /v1/listings/for-rent, POST /v1/listings/sold
Several properties at oncePOST /v1/properties/batch

Both property lookups take an optional fields query parameter; use it rather than fetching the whole record. Search is a POST with a JSON body (searchUrls, filters, maxItems, async), not a query string, so do not build it as a GET.

An MCP server is available at https://api.zillapi.com/mcp for agent contexts that prefer tool calls to HTTP.

Show full SKILL.md (355 more words)Show less

Errors worth handling

  • 401 - key missing or wrong environment. Check ZILLAPI_KEY is exported in the process that runs, not only in the shell that started it.
  • 404 - the address did not resolve. Fall back to a search rather than retrying the same string.
  • 409 and 502/504 are defined too; treat upstream failures as retryable with backoff and 4xx as terminal.
  • 429 - rate limited. Back off; do not retry in a tight loop.

Verifying the code Copilot writes

Ask for one real address end to end before trusting generated code. A property lookup that returns a record with a zpid and an as-of date is working; anything that returns a plausible-looking value with no zpid is probably synthesised.

Example

For a user who pastes a Zillow URL and asks for its valuation:

text
1. Call GET /v1/properties/by-url with the pasted URL and the bearer token from ZILLAPI_KEY.
2. Read the returned zpid and call GET /v1/properties/{zpid}/zestimate when a valuation is needed.
3. Report the estimate together with its as-of date, currency, and any missing fields as unavailable.

Limitations

  • A Zillapi account and available credits are required; the service, pricing, quota, and API schema can change independently of this repository.
  • Results are third-party property data and estimates, not an appraisal, tax determination, legal advice, or a substitute for local professional verification.
  • Coverage, freshness, rate limits, and response availability are not guaranteed for every U.S. property or listing.
  • Property addresses and Zillow URLs can be sensitive. Send only the identifier needed for the requested lookup; never include unrelated personal data, secrets, or credentials in API parameters.
  • This skill documents read-only property and listing lookups. Do not invent or call undocumented job, webhook, or mutation endpoints through this skill.

Reference

OpenAPI specification (canonical, machine-readable): https://zillapi.com/openapi.json Site: https://zillapi.com/

Risk profile

Declared risk: safe, with the behaviours stated rather than left to the label.

  • Network egress: every operation is an outbound HTTPS call to api.zillapi.com. Nothing runs locally.
  • Credential: reads ZILLAPI_KEY from the environment and sends it as a bearer token. It is never written, logged or echoed by anything here.
  • No mutation: every documented endpoint reads. Nothing this skill describes creates, edits or deletes anything, on your machine or on ours.
  • No shell, no filesystem: the skill is instructions plus HTTP. It ships no scripts.
  • Data sent: the address, zpid or URL being looked up. Do not pass user PII beyond the property identifier itself.

© sickn33, MIT-0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/us-property-data of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit ec02547

Used in 1 other repository

We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Us Property Data next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Us Property Data compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Us Property Data this skillsickn33/agentic-awesome-skills47k1 repos~1.7kAutomated safety check: PassMIT-0
Technical Analysttradermonty/claude-trading-skills3k5 repos~4.6kAutomated safety check: PassMIT
Creating Financial ModelsChen-zexi/open-ptc-agent7294 repos~1.3kAutomated safety check: PassMIT
Stock APIzhangxiangliang/stock-api2k—~507Automated safety check: PassMIT
Theme Detectortradermonty/claude-trading-skills3k2 repos~4.9kAutomated safety check: PassMIT
Itr Walakaranb192/itr-wala871—~3.6kAutomated safety check: PassMIT

Similar skills

  • Technical Analyst

    tradermonty/claude-trading-skills

    This skill should be used when analyzing weekly price charts for stocks, stock indices, cryptocurrencies, or forex pairs.

    3k GitHub starsUsed in 5 repos~4.6k tokens
    Business, Finance & HRAuto-check passed

  • Creating Financial Models

    Chen-zexi/open-ptc-agent

    This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisions

    729 GitHub starsUsed in 4 repos~1.3k tokens
    Business, Finance & HRAuto-check passed

  • Stock API

    zhangxiangliang/stock-api

    Fetch real-time stock quotes, K-line (candlestick) history, and search symbols for China A-shares, Hong Kong, and US markets.

    2k GitHub stars~507 tokensUpdated yesterday
    Business, Finance & HRAuto-check passed

  • Theme Detector

    tradermonty/claude-trading-skills

    Detect and analyze trending market themes across sectors. An agent skill from tradermonty/claude-trading-skills.

    3k GitHub starsUsed in 2 repos~4.9k tokens
    Business, Finance & HRAuto-check passed

  • Itr Wala

    karanb192/itr-wala

    File Indian income tax returns (ITR) for FY 2025-26 / AY 2026-27.

    871 GitHub stars~3.6k tokensUpdated 4 days ago
    Business, Finance & HRAuto-check passed

  • Tushare Data

    zillionare/zillionare

    面向中文自然语言的 Tushare 数据研究技能。用于把“看看这只股票最近怎么样”“帮我查财报趋势”“最近哪个板块最强”“北向资金在买什么”“给我导出一份行情数据”这类请求，转成可执行的数据获取、清洗、对比、筛选、导出与简要分析流程。适用于 A 股、指数、ETF/基金、财务、估值、资金流、公告新闻、板块概念与宏观数据等研究场景。

    319 GitHub starsUsed in 2 repos~2.3k tokens
    Business, Finance & HRAuto-check passed

More from sickn33/agentic-awesome-skills

All 1,354 skills in this repo

  • Liuguang Banlan UI

    sickn33/agentic-awesome-skills

    Implements an interface in one of two named color modes, iridescent white or colorful black, from a parameterized starter that reports measured color intensity.

    47k GitHub starsUsed in 1 repo~2.5k tokens
    Auto-check passed

  • User Thoughts Memory

    sickn33/agentic-awesome-skills

    Saves a user's project decisions, rules and preferences into a project-local mdbase so later sessions and other agents can recover the intent.

    47k GitHub starsUsed in 1 repo~2.5k tokens
    Auto-check passed

  • Using LWC Memory and Graphs

    sickn33/agentic-awesome-skills

    Keeps project decisions, research and verified results available across coding-agent sessions through LWC memory, a document Wiki graph and a CodeGraph code index.

    47k GitHub starsUsed in 1 repo~2k tokens
    Auto-check passed

  • Find Complementary Founders

    sickn33/agentic-awesome-skills

    Guides an agent through assessing its own owner for cofounder fit, publishing an approved profile, and ranking complementary profiles other agents published for their owners.

    47k GitHub starsUsed in 1 repo~4.8k tokens
    Auto-check passed

  • Cline Pilot

    sickn33/agentic-awesome-skills

    Acts as a proxy for the Cline CLI, dispatching coding tasks one at a time, monitoring runs by hard evidence, relaying decisions to you and learning per-project preferences.

    47k GitHub starsUsed in 1 repo~4.6k tokens
    Auto-check passed

  • Content Creator

    sickn33/agentic-awesome-skills

    Drafts and reviews audience-specific content from supplied brand examples, with local scripts for brand voice and SEO diagnostics, channel templates and a content calendar.

    47k GitHub starsUsed in 1 repo~2.5k tokens
    Auto-check passed

Categories

Questions about Us Property Data

What does Us Property Data do?

A skill your agent uses when a task needs real U.S. An agent skill from sickn33/agentic-awesome-skills. Us Property Data is an agent skill from sickn33/agentic-awesome-skills.S.

When should I use Us Property Data?

Us Property Data fits situations like: A task needs real U.S.

How do I install Us Property Data in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill us-property-data -a claude-code`. Or copy the skill folder (skills/us-property-data in sickn33/agentic-awesome-skills) into .claude/skills/us-property-data in your project. Claude Code loads it when a task matches its description.

How do I install Us Property Data in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill us-property-data -a codex`. Or copy the skill folder (skills/us-property-data in sickn33/agentic-awesome-skills) into .agents/skills/us-property-data in your project. Codex loads it when a task matches its description.

Can I use Us Property Data in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill us-property-data -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/us-property-data, .gemini/skills/us-property-data, .github/skills/us-property-data and .opencode/skills/us-property-data in your project.

What does Us Property Data need to run?

Going by SKILL.md and its folder, Us Property Data needs credentials named ZILLAPI_KEY. Our summary lists: A credential in ZILLAPI_KEY.

Does Us Property Data access the network?

SKILL.md names 2 domains. In commands or code: api.zillapi.com; the agent is likely to contact it when it follows the instructions. As links in the text: zillapi.com. This is read from the text; nothing was executed.

Is Us Property Data safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Us Property Data use?

Us Property Data is published under the MIT-0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Us Property Data use?

About 1.7k tokens (SKILL.md is roughly 6.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Us Property Data?

Skills that share tags, products or a category with Us Property Data: Technical Analyst (tradermonty/claude-trading-skills, 3k stars), Creating Financial Models (Chen-zexi/open-ptc-agent, 729 stars), Stock API (zhangxiangliang/stock-api, 2k stars) and Theme Detector (tradermonty/claude-trading-skills, 3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Us Property Data?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,343 GitHub stars. The repository holds 1,354 skills in this directory. The repository was last updated on October 7, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.