# query-wikidata

> query-wikidata — kidehen-query-wikidata. Use this tool when you need to translate natural language questions into structured queries for Wikidata, solving problems of data retrieval and exploration. It takes in natural language questions as input and outputs SPARQL queries and HTML results pages, providing a user-friendly interface for accessing Wikidata information. Ideal for use cases where complex data queries need to be simplified and visualized.

Canonical page: https://skillsregistry.net/skills/kidehen-query-wikidata  
JSON: https://api.skillsregistry.net/v1/skills/kidehen-query-wikidata

## Description

Transform natural language questions into SPARQL queries for Wikidata and generate beautiful HTML results pages.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/kidehen-query-wikidata)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "kidehen-query-wikidata"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kidehen-query-wikidata` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kidehen-query-wikidata/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt