Data analysis and visualization. Query databases, generate reports, automate spreadsheets, and turn raw data into clear, actionable insights. Use when (1) yo...
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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-analysisOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install data-analysisβ 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-analysis/π‘Extract and place the folder at the path above, then restart your agent.
What Data Analysis can do for your AI workflow
Data analysis and visualization directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 26,601+ 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 Analysis
Help me get started with Data Analysis
Explains what Data Analysis does, walks through the setup, and runs a quick demo based on your current project
Use Data Analysis to data analysis and visualization
Invokes Data Analysis with the right parameters and returns the result directly in the conversation
What can I do with Data Analysis in my data & analytics workflow?
Lists the top use cases for Data Analysis, with example commands for each scenario
Guides & tutorials for AI skills
Data Analysis extends your AI assistant with the ability to data analysis and visualization. Query databases, generate reports, automate spreadsheets, and turn raw data into clear, actionable insights. Use when (1) yo... 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 Analysis as its underlying capability.
Data Analysis 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 Analysis 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 Analysis takes about two minutes. Place the skill at `~/.claude/skills/data-analysis/` (personal, all projects) or `.claude/skills/data-analysis/` (project-specific), then restart your AI client. From that point, typing `/data-analysis` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
With 26,601 installs, Data Analysis has built a substantial following in the Data & Analytics space. That install count reflects consistent demand from developers and teams who've found it genuinely useful. 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-analysis/ for personal use (all projects), or .claude/skills/data-analysis/ for project-specific use. Restart your AI client, then invoke with /data-analysis or let the AI discover it automatically.
Data Analysis supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Data Analysis is free to install. Check the repository for licensing information.
Data analysis and visualization. Query databases, generate reports, automate spreadsheets, and turn raw data into clear, actionable insights. Use when (1) yo...
Category
πData & AnalyticsAutomate my data & analytics tasks using Data Analysis
Identifies repetitive steps in your workflow and sets up Data Analysis to handle them automatically
MCP vs traditional plugins: what's the difference?
Data Analysis is categorized under Data & Analytics. These skills help AI agents perform specialized tasks in this domain.