Build RAG systems for construction knowledge bases. Create searchable AI-powered construction document systems
Data sourced from ClawHub. View on ClawSkills
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install rag-constructionOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install rag-constructionβ 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/rag-construction/π‘Extract and place the folder at the path above, then restart your agent.
Category
πDocuments & NotesPlatforms
What Rag Construction can do for your AI workflow
Rag systems for construction directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,552+ 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 Rag Construction
Help me get started with Rag Construction
Explains what Rag Construction does, walks through the setup, and runs a quick demo based on your current project
Use Rag Construction to build RAG systems for construction knowledge bases
Invokes Rag Construction with the right parameters and returns the result directly in the conversation
What can I do with Rag Construction in my documents & notes workflow?
Lists the top use cases for Rag Construction, with example commands for each scenario
Guides & tutorials for AI skills
Rag Construction extends your AI assistant with the ability to build RAG systems for construction knowledge bases. Create searchable AI-powered construction document systems. 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 Rag Construction as its underlying capability.
Rag Construction 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 Rag Construction 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 Rag Construction takes about two minutes. Place the skill at `~/.claude/skills/rag-construction/` (personal, all projects) or `.claude/skills/rag-construction/` (project-specific), then restart your AI client. From that point, typing `/rag-construction` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Rag Construction has been installed 1,552 times, making it one of the more actively used skills in the Documents & Notes 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/rag-construction/ for personal use (all projects), or .claude/skills/rag-construction/ for project-specific use. Restart your AI client, then invoke with /rag-construction or let the AI discover it automatically.
Rag Construction supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Rag Construction is free to install. Check the repository for licensing information.
Build RAG systems for construction knowledge bases. Create searchable AI-powered construction document systems
Automate my documents & notes tasks using Rag Construction
Identifies repetitive steps in your workflow and sets up Rag Construction to handle them automatically
MCP vs traditional plugins: what's the difference?
Rag Construction is categorized under Documents & Notes. These skills help AI agents perform specialized tasks in this domain.