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.
Adopted by
Most recently taken up by
- micahyoung/agent-skillstheir own version, first seen Aug 23, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- micahyoung/agent-skills★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository45 other files it gives its agents.
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- commitSkill
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- deepsearchSkill
- deepwikiSkill
- duckdbSkill
- elements-of-styleSkill
- generalSkill
- gitignoreSkill
- gitlab-ciSkill
- gitlab-project-managementSkill
- git-worktreeSkill
- glabSkill
- gondolinSkill
- itinerariesSkill
- know-your-unknownsSkill
- langgraphSkill
- litellm-provider-extensionSkill
- mcporterSkill
- mealieSkill
- mermaidSkill
- mqSkill
- obsidianSkill
- openaiSkill
- osm-geographySkill
- osm-routingSkill
- pdfSkill
- pipeline-fixSkill
- pi-spawnSkill
- pi-tool-routingSkill
- pptxSkill
- pythonSkill
- python-uvSkill
- readeckSkill
- revealjsSkill
- session-logsSkill
- skill-creatorSkill
- strandagentsSkill
- taskwarriorSkill
- theme-factorySkill
- timewarriorSkill
- tmuxSkill
- weatherSkill
- xlsxSkill
- yqSkill
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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Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

