Merge pandas DataFrames from multiple construction sources. Handle different schemas, keys, and data quality issues.
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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 df-mergerOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install df-mergerβ 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/df-merger/π‘Extract and place the folder at the path above, then restart your agent.
Category
πData & AnalyticsPlatforms
What Df Merger can do for your AI workflow
Merge pandas dataframes directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,058+ 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 Df Merger
Help me get started with Df Merger
Explains what Df Merger does, walks through the setup, and runs a quick demo based on your current project
Use Df Merger to merge pandas DataFrames from multiple construction sources
Invokes Df Merger with the right parameters and returns the result directly in the conversation
What can I do with Df Merger in my data & analytics workflow?
Lists the top use cases for Df Merger, with example commands for each scenario
Guides & tutorials for AI skills
Df Merger extends your AI assistant with the ability to merge pandas DataFrames from multiple construction sources. Handle different schemas, keys, and data quality issues. 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 Df Merger as its underlying capability.
Df Merger 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 Df Merger 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.
To install Df Merger, copy the skill folder to `~/.claude/skills/df-merger/` for use across all your projects, or `.claude/skills/df-merger/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/df-merger` or just describe your goal and the AI will pick it up automatically.
Df Merger has been installed 1,058 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/df-merger/ for personal use (all projects), or .claude/skills/df-merger/ for project-specific use. Restart your AI client, then invoke with /df-merger or let the AI discover it automatically.
Df Merger supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Df Merger is free to install. Check the repository for licensing information.
Merge pandas DataFrames from multiple construction sources. Handle different schemas, keys, and data quality issues.
Automate my data & analytics tasks using Df Merger
Identifies repetitive steps in your workflow and sets up Df Merger to handle them automatically
MCP vs traditional plugins: what's the difference?
Df Merger is categorized under Data & Analytics. These skills help AI agents perform specialized tasks in this domain.