Extract structured data from IFC (Industry Foundation Classes) files using IfcOpenShell. Parse BIM models, extract quantities, properties, spatial relationships, and export to various formats.
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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 ifc-data-extractionOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install ifc-data-extractionβ 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/ifc-data-extraction/π‘Extract and place the folder at the path above, then restart your agent.
Category
π»Developer & DevOpsPlatforms
What Ifc Data Extraction can do for your AI workflow
Structured data from ifc directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,199+ developers worldwide
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 Ifc Data Extraction
Help me get started with Ifc Data Extraction
Explains what Ifc Data Extraction does, walks through the setup, and runs a quick demo based on your current project
Use Ifc Data Extraction to extract structured data from IFC (Industry Foundation Classes) file...
Invokes Ifc Data Extraction with the right parameters and returns the result directly in the conversation
What can I do with Ifc Data Extraction in my developer & devops workflow?
Lists the top use cases for Ifc Data Extraction, with example commands for each scenario
Guides & tutorials for AI skills
Ifc Data Extraction extends your AI assistant with the ability to extract structured data from IFC (Industry Foundation Classes) files using IfcOpenShell. Parse BIM models, extract quantities, properties, spatial relationships, and export to various formats. 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 Ifc Data Extraction as its underlying capability.
Ifc Data Extraction 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 Ifc Data Extraction 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 Ifc Data Extraction takes about two minutes. Place the skill at `~/.claude/skills/ifc-data-extraction/` (personal, all projects) or `.claude/skills/ifc-data-extraction/` (project-specific), then restart your AI client. From that point, typing `/ifc-data-extraction` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Ifc Data Extraction has been installed 1,199 times, making it one of the more actively used skills in the Developer & DevOps category. The install rate suggests it solves a real, recurring need rather than a niche edge case. 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/ifc-data-extraction/ for personal use (all projects), or .claude/skills/ifc-data-extraction/ for project-specific use. Restart your AI client, then invoke with /ifc-data-extraction or let the AI discover it automatically.
Ifc Data Extraction supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Ifc Data Extraction is free to install. Check the repository for licensing information.
Extract structured data from IFC (Industry Foundation Classes) files using IfcOpenShell. Parse BIM models, extract quantities, properties, spatial relationships, and export to various formats.
Automate my developer & devops tasks using Ifc Data Extraction
Identifies repetitive steps in your workflow and sets up Ifc Data Extraction to handle them automatically
MCP vs traditional plugins: what's the difference?
Ifc Data Extraction is categorized under Developer & DevOps. These skills help AI agents perform specialized tasks in this domain.