Retailed integration. Manage Organizations, Users, Goals, Filters. Use when the user wants to interact with Retailed data.
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 retailedOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install retailedβ 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/retailed/π‘Extract and place the folder at the path above, then restart your agent.
Category
πData & AnalyticsPlatforms
What Retailed can do for your AI workflow
Retailed integration directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
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 Retailed
Help me get started with Retailed
Explains what Retailed does, walks through the setup, and runs a quick demo based on your current project
Use Retailed to retailed integration
Invokes Retailed with the right parameters and returns the result directly in the conversation
What can I do with Retailed in my data & analytics workflow?
Lists the top use cases for Retailed, with example commands for each scenario
Guides & tutorials for AI skills
The 7 AI Skills Every Software Developer Should Have Installed in 2026
After testing dozens of developer-focused AI skills, these are the seven that have proven genuinely useful across different tech stacks and workflows β not just impressive demos, but tools that hold up under daily use.
MCP Skills vs Native Claude Tools: What's the Difference and When to Use Each
Claude comes with built-in capabilities, but MCP skills extend it in ways the base model can't. Here's a clear breakdown of what each type of tool is good for, with real examples of when to reach for a skill versus relying on Claude's native abilities.
Retailed extends your AI assistant with the ability to retailed integration. Manage Organizations, Users, Goals, Filters. Use when the user wants to interact with Retailed data. 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 Retailed as its underlying capability.
Retailed 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 Retailed 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.
Retailed installs like any other MCP skill: drop the folder into `~/.claude/skills/retailed/` for global access, or `.claude/skills/retailed/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/retailed`, or let the AI decide when it's the right tool for your request.
Retailed has 210 installs and is part of the growing Data & Analytics skill ecosystem on DiscoverAISkills. 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/retailed/ for personal use (all projects), or .claude/skills/retailed/ for project-specific use. Restart your AI client, then invoke with /retailed or let the AI discover it automatically.
Retailed supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Retailed is free to install. Check the repository for licensing information.
Retailed integration. Manage Organizations, Users, Goals, Filters. Use when the user wants to interact with Retailed data.
Automate my data & analytics tasks using Retailed
Identifies repetitive steps in your workflow and sets up Retailed to handle them automatically
Retailed is categorized under Data & Analytics. These skills help AI agents perform specialized tasks in this domain.