service-datacommons-client

Name: service-datacommons-client
Availability: InStock
Author: biomaps-infra

Query Data Commons statistical observations and resolve entities to DCIDs.

Updated Mar 13, 2026

Search Tags:#knowledge graph #statistics #data retrieval #api client #data commons #public data

Ready to run

npx skills add https://github.com/biomaps-infra/blender-opencode --skill service-datacommons-client

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: service-datacommons-client
Source: https://github.com/biomaps-infra/blender-opencode/tree/main/.opencode/skills/service-datacommons-client
Command: npx skills add https://github.com/biomaps-infra/blender-opencode --skill service-datacommons-client

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides programmatic access to Data Commons, a vast platform of public statistical data, eliminating the need for manual data collection and integration from disparate sources.

Core Features & Use Cases

Query Statistical Data: Retrieve time-series data for demographics, economics, health, and more.
Explore Knowledge Graph: Understand relationships between entities and discover available properties.
Entity Resolution: Convert place names, coordinates, or external IDs into Data Commons IDs (DCIDs).
Use Case: Analyze historical population trends for all US states by querying the Data Commons API, resolving state names to DCIDs, and fetching the Count_Person variable over time.

Quick Start

Use the service-datacommons-client skill to fetch the latest population count for California and Texas.

Frequently Asked Questions about service-datacommons-client

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I retrieve public statistical data for demographic and economic indicators?▼

You retrieve public statistical data by querying the Data Commons API for time-series observations. This provides programmatic access to global demographic, economic, health, and environmental indicators without manual integration.

How do I convert place names or coordinates into Data Commons IDs for querying?▼

Convert place names, coordinates, or Wikidata IDs into Data Commons IDs using entity resolution features. This resolves local identifiers to valid DCIDs required for fetching specific statistical variables.

What is the Data Commons knowledge graph and how can I explore it?▼

The Data Commons knowledge graph maps relationships between statistical entities and their properties. You explore it programmatically to discover available data variables and understand connections across global data sources.

Can I use this API client to analyze historical population trends with Pandas?▼

Yes, you can analyze historical population trends by retrieving time-series data and integrating it with Pandas. Fetch variables like Count_Person for resolved entities and load the observations directly for analysis.

Does this data retrieval method support querying health and environmental indicators across global sources?▼

Yes, this data retrieval method supports querying health and environmental indicators across global sources. It queries statistical observations across multiple domains, consolidating disparate public datasets into a single access point.