Extract candidate ontology models from enterprise business systems AND build/maintain personal knowledge graphs from any file system. Use when: ontology extr...
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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 ontology-engineerOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install ontology-engineerβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
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/ontology-engineer/π‘Extract and place the folder at the path above, then restart your agent.
Category
π»Developer & DevOpsPlatforms
What Ontology Engineer can do for your AI workflow
Candidate ontology models directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Ontology Engineer
Help me get started with Ontology Engineer
Explains what Ontology Engineer does, walks through the setup, and runs a quick demo based on your current project
Use Ontology Engineer to extract candidate ontology models from enterprise business systems ...
Invokes Ontology Engineer with the right parameters and returns the result directly in the conversation
What can I do with Ontology Engineer in my developer & devops workflow?
Lists the top use cases for Ontology Engineer, with example commands for each scenario
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Ontology Engineer extends your AI assistant with the ability to extract candidate ontology models from enterprise business systems AND build/maintain personal knowledge graphs from any file system. Use when: ontology extr... Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Ontology Engineer as its underlying capability.
Ontology Engineer works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Ontology Engineer 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.
Ontology Engineer installs like any other MCP skill: drop the folder into `~/.claude/skills/ontology-engineer/` for global access, or `.claude/skills/ontology-engineer/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/ontology-engineer`, or let the AI decide when it's the right tool for your request.
Ontology Engineer has 416 installs and is part of the growing Developer & DevOps 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/ontology-engineer/ for personal use (all projects), or .claude/skills/ontology-engineer/ for project-specific use. Restart your AI client, then invoke with /ontology-engineer or let the AI discover it automatically.
Ontology Engineer supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Ontology Engineer is free to install. Check the repository for licensing information.
Extract candidate ontology models from enterprise business systems AND build/maintain personal knowledge graphs from any file system. Use when: ontology extr...
Automate my developer & devops tasks using Ontology Engineer
Identifies repetitive steps in your workflow and sets up Ontology Engineer to handle them automatically
Ontology Engineer is categorized under Developer & DevOps. These skills help AI agents perform specialized tasks in this domain.
Ontology Mapper
Map construction data to standard ontologies. Create semantic mappings between different data schemas