Profile construction data to understand characteristics, distributions, quality metrics, and patterns. Essential for data quality assessment and ETL planning.
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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 data-profilerOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install data-profilerβ 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/data-profiler/π‘Extract and place the folder at the path above, then restart your agent.
Category
πData & AnalyticsPlatforms
What Data Profiler can do for your AI workflow
Profile construction data directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,126+ 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 Data Profiler
Help me get started with Data Profiler
Explains what Data Profiler does, walks through the setup, and runs a quick demo based on your current project
Use Data Profiler to profile construction data to understand characteristics, distributi...
Invokes Data Profiler with the right parameters and returns the result directly in the conversation
What can I do with Data Profiler in my data & analytics workflow?
Lists the top use cases for Data Profiler, with example commands for each scenario
Guides & tutorials for AI skills
Data Profiler extends your AI assistant with the ability to profile construction data to understand characteristics, distributions, quality metrics, and patterns. Essential for data quality assessment and ETL planning. 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 Data Profiler as its underlying capability.
Data Profiler 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 Data Profiler 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 Data Profiler takes about two minutes. Place the skill at `~/.claude/skills/data-profiler/` (personal, all projects) or `.claude/skills/data-profiler/` (project-specific), then restart your AI client. From that point, typing `/data-profiler` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Data Profiler has been installed 1,126 times, making it one of the more actively used skills in the Data & Analytics 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/data-profiler/ for personal use (all projects), or .claude/skills/data-profiler/ for project-specific use. Restart your AI client, then invoke with /data-profiler or let the AI discover it automatically.
Data Profiler supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Data Profiler is free to install. Check the repository for licensing information.
Profile construction data to understand characteristics, distributions, quality metrics, and patterns. Essential for data quality assessment and ETL planning.
Automate my data & analytics tasks using Data Profiler
Identifies repetitive steps in your workflow and sets up Data Profiler to handle them automatically
MCP vs traditional plugins: what's the difference?
Data Profiler is categorized under Data & Analytics. These skills help AI agents perform specialized tasks in this domain.