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Work with Data Commons, a platform providing programmatic access to public statistical data from global sources.
Passed 22 of 22 test cases with the skill, and 8 of 22 without it.
and 23 more in the full report
14 fixed8 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
What is the exact shell command to install the Data Commons Python v2 client package with optional Pandas support included using the `uv` package manager?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies uv pip install datacommons-client[Pandas] | Missed | Passed |
The instructions your model reads when the skill loads.
Provides comprehensive access to the Data Commons Python API v2 for querying statistical observations, exploring the knowledge graph, and resolving entity identifiers. Data Commons aggregates data from census bureaus, health organizations, environmental agencies, and other authoritative sources into a unified knowledge graph.
Use this skill when the user explicitly asks for Data Commons/datacommons, Data Commons statistical variables, Data Commons entities/DCIDs, or population/economic indicators that fit the Data Commons knowledge graph.
Generic public data, open data, public dataset search, or public download-link collection by itself is not enough to select this skill. Those requests need a clearer Data Commons/statistical-graph signal before this skill becomes the route owner.
Install the Data Commons Python client with Pandas support:
uv pip install "datacommons-client[Pandas]"
For basic usage without Pandas:
uv pip install datacommons-client
The Data Commons API consists of three main endpoints, each detailed in dedicated reference files:
Query time-series statistical data for entities. See references/observation.md for comprehensive documentation.
Primary use cases:
test cases passed, vs 8 / 22 without
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