Effortlessly query and retrieve 988+ City of Calgary datasets for transit, environment, and government research.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install calgary-opendata
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install calgary-opendata using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The City of Calgary Open Data skill provides a robust interface for AI agents and developers to interact with the city's vast repository of public data. By integrating this skill into your Openclaw Skills library, you gain the ability to search, filter, and fetch real-time information across nearly a thousand categories including transit, environmental monitoring, and urban census data.
Built on top of the Socrata SODA API, this skill ensures that your AI coding assistant can perform data-driven tasks with accuracy. It serves as a bridge between raw municipal databases and your development environment, making it easier than ever to build applications that are grounded in high-quality, local government data.
To begin using this skill with your Openclaw Skills environment, ensure you have the necessary scripts available in your path. While the skill works without authentication, you can add a Socrata token to avoid rate limits.
# Optional: Set your Socrata App Token
export SOCRATA_APP_TOKEN=your_token_here
# Search for a dataset
python3 scripts/calgary_data.py search "transit"
# Fetch data from a specific dataset ID
python3 scripts/calgary_data.py fetch c9sh-grss --limit 10
The skill interacts with the City of Calgary's data taxonomy, identifying datasets by unique 9-character alphanumeric codes. Data is typically returned with the following metadata structure:
| Property | Description |
|---|---|
| Dataset ID | Unique identifier (e.g., iric-4rrc) |
| Column Name | The technical name of the field |
| Column Type | Socrata type (Number, Text, Location, etc.) |
| Categories | Dataset classification such as Environment or Transit |
| Export Formats | Support for JSON, CSV, and GeoJSON (if geocoded) |
--where parameter to narrow down large datasets.--limit and --offset for handling multi-thousand row datasets.Loading
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