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Cook county data portal

Skill MisterClean/claude-plugins/skills/cook-county-data-portal

This skill should be used when the user asks to "query Cook County data", "find Cook County datasets", "get property assessments", "download parcel data", "search datacatalog.cookcountyil.gov", "get medical examiner data", "find court cases", "query State's Attorney data", or mentions Cook County government data (assessor, treasurer, courts, payroll, medical examiner, etc.).From its SKILL.md

Install
npx -y skills add MisterClean/claude-plugins --skill cook-county-data-portal

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

3 things to look at

  • reads credentialsReads from 3 credential sources: `COOK_COUNTY_DATA_PORTAL_TOKEN` and 2 more.
  • 3 stars3 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
  • fetches URLsInstructs the agent to fetch 3 URLs, including https://api.us.socrata.com/api/catalog/v1?domains=datacatalog.cookcountyil.gov&q=<keywords> and 2 more.

SKILL.md

7.9 KB, ~2.2k tokens by cl100k_base, as published. Nobody here has run it

Cook County Data Portal Skill

Query and download datasets from the Cook County Open Data Portal using the Socrata Open Data API (SODA) and SoQL.

Prerequisites

Before querying, check if the user has an app token:

  1. Look for COOK_COUNTY_DATA_PORTAL_TOKEN in the user's .env file
  2. If not found, check for CHICAGO_DATA_PORTAL_TOKEN (both portals use Socrata, so tokens are interchangeable)
  3. If found, use it in requests via header: X-App-Token: <token>
  4. If neither token exists, instruct the user to:

Queries work without a token but are rate-limited.

Quick Start

The Cook County Data Portal is at datacatalog.cookcountyil.gov. Each dataset has a unique 4x4 ID (e.g., uzyt-m557 for assessed values). Use the catalog API to discover datasets, then query via SODA.

Workflow

Step 1: Clarify the Data Need

Ask the user:

  • Topic: What data? (property assessments, court cases, payroll, medical examiner, etc.)
  • Geography: Countywide, township, municipality, or specific parcel/PIN?
  • Time window: Date range, tax year, or fiscal quarter?
  • Output: JSON (code) or CSV (Excel)?
  • Granularity: Raw rows or aggregated counts?

Step 2: Find the Dataset

Option A - Catalog Search API:

GET https://api.us.socrata.com/api/catalog/v1?domains=datacatalog.cookcountyil.gov&q=<keywords>

Option B - Portal UI: Browse https://datacatalog.cookcountyil.gov and use the search bar.

Deliverable: Dataset name, 4x4 ID, and API endpoint.

See references/datasets-*.md for commonly requested datasets by category:

  • references/datasets-property.md - Assessor, Treasurer, parcel data
  • references/datasets-courts.md - State's Attorney, sentencing, dispositions
  • references/datasets-health.md - Medical Examiner cases
  • references/datasets-finance.md - Payroll, procurement, budgets

Step 3: Get Dataset Metadata

Fetch schema and column info:

GET https://datacatalog.cookcountyil.gov/api/views/<4x4-ID>

Key fields in response:

  • columns[].fieldName - exact column names for queries
  • columns[].dataTypeName - data type (text, number, calendar_date, location, etc.)
  • columns[].description - what the column means
  • rowsUpdatedAt - last data update timestamp

Always verify column names from metadata before building queries.

Step 4: Build the Query

Legacy GET (simple, recommended for most cases):

https://datacatalog.cookcountyil.gov/resource/<4x4-ID>.json?$where=<filter>&$limit=1000

SODA3 POST (complex queries):

curl -X POST \
  -H "X-App-Token: YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"query": "SELECT * WHERE year = 2024", "page": {"pageNumber": 1, "pageSize": 1000}}' \
  https://datacatalog.cookcountyil.gov/api/v3/views/<4x4-ID>/query.json

Step 5: Handle Pagination

Default limit is 1000 rows. For larger extracts:

$limit=1000&$offset=0    # Page 1
$limit=1000&$offset=1000 # Page 2

Always include $order for stable paging:

$order=year DESC&$limit=1000&$offset=0

For full dataset export, use CSV:

https://datacatalog.cookcountyil.gov/api/views/<4x4-ID>/rows.csv?accessType=DOWNLOAD

SoQL Essentials

Query Parameters

ParamPurposeExample
$selectColumns to return$select=pin,year,mailed_tot
$whereFilter rows$where=year=2024
$groupAggregate$group=township_code
$havingFilter aggregates$having=count(*)>100
$orderSort results$order=year DESC
$limitMax rows$limit=500
$offsetSkip rows$offset=1000

Syntax Rules

  • Backticks around column names: `column_name`
  • Single quotes for strings: 'value'
  • Dates as ISO strings: '2024-01-01T00:00:00'

Common Filters

-- Year range
$where=year >= 2020 AND year <= 2024

-- PIN lookup (zero-pad to 14 digits)
$where=pin = '12345678901234'

-- Text matching (case-insensitive)
$where=upper(manner_of_death) = 'HOMICIDE'

-- Null handling
$where=latitude IS NOT NULL

-- Multiple values
$where=township_code IN ('10', '20', '30')

Aggregations

$select=township_code, count(*) as total, avg(mailed_tot) as avg_value
$group=township_code
$order=total DESC

See references/soql-quick-ref.md for full function reference.

Geospatial Queries

If the dataset has a location field (Point type):

-- Within radius (meters from downtown Chicago)
$where=within_circle(location, 41.8781, -87.6298, 5000)

-- Within bounding box
$where=within_box(location, 42.0, -87.9, 41.6, -87.5)

-- Within polygon
$where=within_polygon(location, 'MULTIPOLYGON(((-87.6 41.8, -87.5 41.8, -87.5 41.9, -87.6 41.9, -87.6 41.8)))')

App Tokens

Unauthenticated requests are rate-limited. Register for a free app token:

  1. Create account at https://datacatalog.cookcountyil.gov
  2. Go to Developer Settings
  3. Create New App Token
  4. Use via header: X-App-Token: YOUR_TOKEN

Cook County Specifics

Parcel Index Numbers (PINs)

  • PINs are 14-digit identifiers for parcels
  • Always zero-pad when querying: '01234567890123'
  • Some exports may drop leading zeros; re-pad before joining datasets

Tax Years vs Calendar Years

  • Assessor data uses tax year (property taxes assessed)
  • Tax year 2024 bills are paid in 2025
  • Use year or tax_year columns accordingly

Townships

  • Cook County has 38 townships
  • Township codes are 2-digit strings (e.g., '10' = Barrington)
  • See Assessor datasets for township boundaries

Fiscal Quarters (Payroll)

  • Q1: December - February
  • Q2: March - May
  • Q3: June - August
  • Q4: September - November

Output Format

Provide the user with:

  1. Dataset: Name + 4x4 ID + portal link
  2. Columns used: Exact field names
  3. Query: Formatted SoQL
  4. How to run: curl command or full URL
  5. Assumptions: Time zone, update frequency, any caveats

Example Response Format

Dataset: Assessor - Assessed Values (uzyt-m557)
https://datacatalog.cookcountyil.gov/d/uzyt-m557

Query:
SELECT pin, year, class, mailed_tot, certified_tot
WHERE year = 2024 AND township_code = '70'
ORDER BY mailed_tot DESC
LIMIT 100

Run it:
curl "https://datacatalog.cookcountyil.gov/resource/uzyt-m557.json?\$select=pin,year,class,mailed_tot,certified_tot&\$where=year%20=%202024%20AND%20township_code%20=%20%2770%27&\$order=mailed_tot%20DESC&\$limit=100"

Note: Values are assessed values, not market values. Adjust by level of assessment to get market value.

Troubleshooting

IssueFix
404 / "unknown column"Wrong dataset ID or field name. Check metadata endpoint.
Empty resultsFilters too strict, wrong date format, or nulls.
429 throttledAdd X-App-Token header.
Slow querySelect fewer columns, add filters, reduce limit.
Encoding errorsURL-encode special chars: space=%20, >=%3E, '=%27
PIN not foundZero-pad to 14 digits.

Additional Resources

  • references/datasets-property.md - Property & Taxation datasets
  • references/datasets-courts.md - Courts & Legal datasets
  • references/datasets-health.md - Health & Medical Examiner datasets
  • references/datasets-finance.md - Finance & Administration datasets
  • references/soql-quick-ref.md - All SoQL functions
  • examples/python-query.py - Python code snippet
  • examples/curl-examples.sh - curl command templates

What ships with it: 9 files

41.7 KB alongside SKILL.md, 2 of them executable

.claude-plugin/

examples/

Gives 0 of the 12 instructions most legal skills give in ~2.2k tokens

Counted across 234 of the 234 authors here whose files we hold, read 2026-08-07

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Said here and by no other author read

  • verify column names from metadata before building queries
  • zero-pad parcel index numbers to 14 digits
  • include an order parameter for stable paging
  • url-encode special characters in queries
  • ask the user for topic geography time output and granularity
  • check environment variables for an app token

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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