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jcsaaddupuyjcsaaddupuy/badrobots/skills/wikidata-sparql/SKILL.md

wikidata-sparql

Skill1 starsChanged 9 months agoNo licenceView on GitHub

Search engine for factual data using Wikidata SPARQL queries with robust Python/uv run. Built-in retry logic handles rate limits (403/429) and server errors (502, 503, 504). Use for factual questions about real-world entities, relationships, and data: people, places, organizations, events, scientific data, historical facts. Examples: 'cities with <100k population', 'Nobel Prize winners since 2010', 'chemical elements by atomic number', 'mountains over 8000m', 'US presidents born after 1900'. Query by properties (population, dates, locations, classifications), discover entity relationships, aggregate and filter data. Includes exponential backoff retry strategy and 30s timeout.

1 other project uses a version of this.

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The file

We split this skill into the rules it gives an agent

7 rules. About 0 are common, 4 are distinctive, and 3 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈4

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 3

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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