Transform natural language questions into SPARQL queries for DBpedia and generate beautiful HTML results pages. Query the DBpedia knowledge graph using plain...
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install query-dbpediaOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install query-dbpedia⚠️ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js →
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/query-dbpedia/💡Extract and place the folder at the path above, then restart your agent.
Category
🔍Data & AnalyticsPlatforms
What Query DBpedia using Natural Language can do for your AI workflow
Transform natural language directly from your Claude conversation
Works across Claude, Cursor, OpenClaw — install once, use everywhere
One-command installation — no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Query DBpedia using Natural Language
Help me get started with Query DBpedia using Natural Language
Explains what Query DBpedia using Natural Language does, walks through the setup, and runs a quick demo based on your current project
Use Query DBpedia using Natural Language to transform natural language questions into SPARQL queries for DBpedi...
Invokes Query DBpedia using Natural Language with the right parameters and returns the result directly in the conversation
What can I do with Query DBpedia using Natural Language in my data & analytics workflow?
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Query DBpedia using Natural Language extends your AI assistant with the ability to transform natural language questions into SPARQL queries for DBpedia and generate beautiful HTML results pages. Query the DBpedia knowledge graph using plain... Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly — and it will take care of the task end-to-end, using Query DBpedia using Natural Language as its underlying capability.
Query DBpedia using Natural Language works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) — an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Query DBpedia using Natural Language once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Getting started with Query DBpedia using Natural Language takes about two minutes. Place the skill at `~/.claude/skills/query-dbpedia/` (personal, all projects) or `.claude/skills/query-dbpedia/` (project-specific), then restart your AI client. From that point, typing `/query-dbpedia` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Query DBpedia using Natural Language has 569 installs and is part of the growing Data & Analytics skill ecosystem on DiscoverAISkills. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/query-dbpedia/ for personal use (all projects), or .claude/skills/query-dbpedia/ for project-specific use. Restart your AI client, then invoke with /query-dbpedia or let the AI discover it automatically.
Query DBpedia using Natural Language supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Query DBpedia using Natural Language is free to install. Check the repository for licensing information.
Transform natural language questions into SPARQL queries for DBpedia and generate beautiful HTML results pages. Query the DBpedia knowledge graph using plain...
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