Datacommons Client

🌐Community
by ovachiever · vlatest · Repository

Connects to Ovacommons data repositories, retrieves structured information, and formats it for analysis within Ovaciever workflows.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add ovachiever-datacommons-client npx -- -y @trustedskills/ovachiever-datacommons-client
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "ovachiever-datacommons-client": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/ovachiever-datacommons-client"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

The ovachiever-datacommons-client skill provides access to the Data Commons API. It allows AI agents to query and retrieve structured data about various topics, including demographics, education, health, and government. This enables tasks like gathering statistical information, building knowledge graphs, or performing comparative analyses across different regions or time periods.

When to use it

  • Researching demographic trends: An agent could be used to find population statistics for specific cities or states over a given period.
  • Comparing educational outcomes: Retrieve data on graduation rates and test scores across different school districts.
  • Analyzing healthcare disparities: Gather information about disease prevalence and access to care in various regions.
  • Building a knowledge base: Populate a database with facts and figures from the Data Commons for use in other applications.

Key capabilities

  • Accesses the Data Commons API
  • Retrieves structured data
  • Supports queries across diverse topics (demographics, education, health, government)
  • Provides statistical information

Example prompts

  • "Find the median household income for California in 2020."
  • "What is the graduation rate for public high schools in Texas?"
  • "Compare the population density of New York City and Los Angeles."

Tips & gotchas

The Data Commons API can be complex, so understanding its schema and query language will improve results. Be mindful of potential data limitations or inconsistencies within the Data Commons dataset itself.

Tags

🛡️

TrustedSkills Verification

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Details

Version
vlatest
License
Author
ovachiever
Installs
26

🌐 Community

Passed automated security scans.