skills.rest
felixboehm
felixboehmCOMMUNITY
Explore all skills by this author →
GitHub

datacommons-client

Query statistical observations and resolve entities via the Data Commons Python API v2.

Updated Mar 10, 2026
Search Tags:#knowledge graph#economics#statistics#api client#demographics#data commons#public data
One-click install
npx skills add https://github.com/felixboehm/biochem-allergy --skill datacommons-client-felixboehm
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: datacommons-client
Source: https://github.com/felixboehm/biochem-allergy/tree/main/.claude/skills/datacommons-client
Command: npx skills add https://github.com/felixboehm/biochem-allergy --skill datacommons-client-felixboehm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides programmatic access to a vast repository of public statistical data from global sources, enabling users to retrieve and analyze demographic, economic, health, and environmental information without manual data collection.

Core Features & Use Cases

  • Data Retrieval: Fetch time-series statistical data for entities (e.g., population, GDP, unemployment rates).
  • Knowledge Graph Exploration: Discover entity relationships, properties, and hierarchies.
  • Entity Resolution: Translate entity names, coordinates, or external IDs into Data Commons IDs (DCIDs).
  • Use Case: Analyze the correlation between GDP growth and life expectancy across different countries over the past two decades.

Quick Start

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

Frequently Asked Questions about datacommons-client

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

FAQPage Schema
How do I access global public statistics like GDP and population through an API?▼

The Skill queries the Data Commons knowledge graph to aggregate demographic, economic, and health statistics from census bureaus and environmental agencies into a unified dataset for analysis.

How do I resolve geographic entity names or coordinates to standard identifiers?▼

You can explore the knowledge graph to discover entity relationships, properties, and hierarchies, enabling you to resolve geographic names and external identifiers into valid DCIDs.

Can I use this to fetch demographic and health data for specific regions?▼

The API client supports retrieving time-series data for various entities, allowing you to analyze environmental information and health statistics for targeted geographic regions.

What is the best way to analyze the correlation between economic growth and life expectancy?▼

By leveraging the Data Commons knowledge graph, you can fetch and align economic and demographic time-series data to compute correlations between metrics like GDP growth and life expectancy.

Do I need to install external dependencies to query the Data Commons API?▼

The Skill functions without listed dependencies, allowing direct programmatic access to public data sources for retrieving statistics and resolving entity identifiers.

Related Skills

Explore More Data & Analytics Skills→
robotlearning123robotlearning123

datacommons-client

Query Data Commons API v2 for statistical observations and entity identifiers.

Community
Advanced
meirmmeirm
13

data-analysis

Clean datasets, compute statistics, and generate visualizations with Python libraries.

Community
Advanced
hxk622hxk622
8

datacommons-client

Query time-series statistical data and resolve entities via Data Commons Python API v2.

Community
Intermediate
danbridanbri
1

parameterised-query

Retrieve UK Parliament data via parameterised SPARQL templates over HTTP.

Community
Intermediate