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datacommons-client

Work with Data Commons, a platform providing programmatic access to public statistical data from global sources. Use this skill when working with demographic data, economic indicators, health statistics, environmental data, or any public datasets available through Data Commons. Applicable for querying population statistics, GDP figures, unemployment rates, disease prevalence, geographic entity resolution, and exploring relationships between statistical entities.

90

4.52x
Quality

87%

Does it follow best practices?

Impact

95%

4.52x

Average score across 3 eval scenarios

SecuritybySnyk

Risky

Do not use without reviewing

SKILL.md
Quality
Evals
Security

Evaluation results

86%

66%

County Income Disparity Analysis

Hierarchy relation expressions + Pandas analysis

Criteria
Without context
With context

uv pip install

0%

100%

Pandas extras

0%

100%

Correct import

0%

100%

Relation expression

0%

0%

Correct variable name

0%

100%

to_observations_as_records

0%

100%

fetch_entity_names

0%

100%

Date year 2020

0%

100%

CSV output

100%

100%

Ranked output

100%

100%

100%

61%

US State Economic Trends Dashboard

Facet filtering + time series + resolve workflow

Criteria
Without context
With context

uv pip install

0%

100%

Resolve before query

25%

100%

entity_type filtering

33%

100%

Candidate validation

40%

100%

date all

0%

100%

filter_facet_domains

21%

100%

Unemployment variable

100%

100%

to_observations_as_records

0%

100%

pivot_table usage

100%

100%

CSV output

100%

100%

DataCommonsClient import

0%

100%

100%

95%

Location Demographics from GPS Coordinates

Coordinate resolution + variable discovery workflow

Criteria
Without context
With context

uv pip install

0%

100%

DataCommonsClient import

0%

100%

Coordinate resolution method

0%

100%

fetch_entity_names

0%

100%

Variable discovery

0%

100%

Population variable

0%

100%

Median age variable

0%

100%

Median income variable

0%

100%

date latest

0%

100%

to_observations_as_records

0%

100%

CSV output

100%

100%

Repository
K-Dense-AI/claude-scientific-skills
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

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