Resolve issues, communicate with empathy, and turn frustrated customers into loyal advocates.
Data sourced from ClawHub. View on ClawSkills
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Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install customer-supportOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install customer-supportβ 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/customer-support/π‘Extract and place the folder at the path above, then restart your agent.
Category
π»Developer & DevOpsPlatforms
What Customer Support can do for your AI workflow
Resolve issues, communicate directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,801+ 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 Customer Support
Help me get started with Customer Support
Explains what Customer Support does, walks through the setup, and runs a quick demo based on your current project
Use Customer Support to resolve issues, communicate with empathy, and turn frustrated custo...
Invokes Customer Support with the right parameters and returns the result directly in the conversation
What can I do with Customer Support in my developer & devops workflow?
Lists the top use cases for Customer Support, with example commands for each scenario
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Customer Support extends your AI assistant with the ability to resolve issues, communicate with empathy, and turn frustrated customers into loyal advocates. 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 Customer Support as its underlying capability.
Customer Support 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 Customer Support 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 Customer Support takes about two minutes. Place the skill at `~/.claude/skills/customer-support/` (personal, all projects) or `.claude/skills/customer-support/` (project-specific), then restart your AI client. From that point, typing `/customer-support` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Customer Support has been installed 1,801 times, making it one of the more actively used skills in the Developer & DevOps 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/customer-support/ for personal use (all projects), or .claude/skills/customer-support/ for project-specific use. Restart your AI client, then invoke with /customer-support or let the AI discover it automatically.
Customer Support supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Customer Support is free to install. Check the repository for licensing information.
Resolve issues, communicate with empathy, and turn frustrated customers into loyal advocates.
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Automate my developer & devops tasks using Customer Support
Identifies repetitive steps in your workflow and sets up Customer Support to handle them automatically
Customer Support is categorized under Developer & DevOps. These skills help AI agents perform specialized tasks in this domain.